kentang1998
commited on
Commit
•
7459fb1
1
Parent(s):
3ba5314
[Major] Add OSS 13B weights
Browse files- config.json +43 -0
- generation_config.json +7 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +765 -0
- special_tokens_map.json +24 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
- trainer_state.json +3150 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "./checkpoints/llama-2-13b-mmc4-coyo-paper_reproduce",
|
3 |
+
"architectures": [
|
4 |
+
"LlavaLlamaForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_bias": false,
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"bos_token_id": 1,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"freeze_mm_mlp_adapter": false,
|
11 |
+
"hidden_act": "silu",
|
12 |
+
"hidden_size": 5120,
|
13 |
+
"image_aspect_ratio": "pad",
|
14 |
+
"initializer_range": 0.02,
|
15 |
+
"intermediate_size": 13824,
|
16 |
+
"max_position_embeddings": 4096,
|
17 |
+
"mm_hidden_size": 1024,
|
18 |
+
"mm_projector_lr": null,
|
19 |
+
"mm_projector_type": "mlp2x_gelu",
|
20 |
+
"mm_use_im_patch_token": false,
|
21 |
+
"mm_use_im_start_end": false,
|
22 |
+
"mm_vision_select_feature": "patch",
|
23 |
+
"mm_vision_select_layer": -2,
|
24 |
+
"mm_vision_tower": "openai/clip-vit-large-patch14-336",
|
25 |
+
"model_type": "llava_llama",
|
26 |
+
"num_attention_heads": 40,
|
27 |
+
"num_hidden_layers": 40,
|
28 |
+
"num_key_value_heads": 40,
|
29 |
+
"pad_token_id": 0,
|
30 |
+
"pretraining_tp": 1,
|
31 |
+
"rms_norm_eps": 1e-05,
|
32 |
+
"rope_scaling": null,
|
33 |
+
"rope_theta": 10000.0,
|
34 |
+
"tie_word_embeddings": false,
|
35 |
+
"tokenizer_model_max_length": 4096,
|
36 |
+
"tokenizer_padding_side": "right",
|
37 |
+
"torch_dtype": "bfloat16",
|
38 |
+
"transformers_version": "4.36.2",
|
39 |
+
"tune_mm_mlp_adapter": false,
|
40 |
+
"use_cache": true,
|
41 |
+
"use_mm_proj": true,
|
42 |
+
"vocab_size": 32000
|
43 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"pad_token_id": 0,
|
6 |
+
"transformers_version": "4.36.2"
|
7 |
+
}
|
model-00001-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:95c39706afa558b02716192f67c8cb1b6c4dd7120746d3079cd9284e746ba894
|
3 |
+
size 4978265800
|
model-00002-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9b7e5c84d83d5fcab2f7cf90f56628918a58aa7ab4a8650db88554cc63910a9b
|
3 |
+
size 4970422232
|
model-00003-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9225e367da8020968b294dfb1f7877adf5932edceda750331db465d9f951ad63
|
3 |
+
size 4970422256
|
model-00004-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b3f5772ff5396c4d57c174e35f51ba7a07577534e016f0e8fa3242f049b7e720
|
3 |
+
size 4933701504
|
model-00005-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:504797954690d8763df1502b08af5c3b2068fa1d529c77218977e2b26d40d22f
|
3 |
+
size 4933722216
|
model-00006-of-00006.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:15e3d9c4e4a16a76d4c9e9408badd0d342db5e737654f4ac2e018355e264450a
|
3 |
+
size 1915248664
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,765 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 26701678592
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00006-of-00006.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00006.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
26 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
35 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
44 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
53 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
62 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
71 |
+
"model.layers.15.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
80 |
+
"model.layers.16.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
89 |
+
"model.layers.17.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
98 |
+
"model.layers.18.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
107 |
+
"model.layers.19.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
125 |
+
"model.layers.20.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
134 |
+
"model.layers.21.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
143 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
152 |
+
"model.layers.23.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
161 |
+
"model.layers.24.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
170 |
+
"model.layers.25.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
179 |
+
"model.layers.26.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
188 |
+
"model.layers.27.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
197 |
+
"model.layers.28.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
206 |
+
"model.layers.29.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
215 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
224 |
+
"model.layers.30.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
233 |
+
"model.layers.31.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
242 |
+
"model.layers.32.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
243 |
+
"model.layers.32.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
244 |
+
"model.layers.32.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
245 |
+
"model.layers.32.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
246 |
+
"model.layers.32.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
247 |
+
"model.layers.32.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
248 |
+
"model.layers.32.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
249 |
+
"model.layers.32.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
250 |
+
"model.layers.32.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
251 |
+
"model.layers.33.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
252 |
+
"model.layers.33.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
253 |
+
"model.layers.33.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
254 |
+
"model.layers.33.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
255 |
+
"model.layers.33.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
256 |
+
"model.layers.33.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
257 |
+
"model.layers.33.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
258 |
+
"model.layers.33.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
259 |
+
"model.layers.33.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
260 |
+
"model.layers.34.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
261 |
+
"model.layers.34.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
262 |
+
"model.layers.34.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
263 |
+
"model.layers.34.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
264 |
+
"model.layers.34.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
265 |
+
"model.layers.34.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
266 |
+
"model.layers.34.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
267 |
+
"model.layers.34.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
268 |
+
"model.layers.34.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
269 |
+
"model.layers.35.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
270 |
+
"model.layers.35.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
271 |
+
"model.layers.35.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
272 |
+
"model.layers.35.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
273 |
+
"model.layers.35.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
274 |
+
"model.layers.35.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
275 |
+
"model.layers.35.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
276 |
+
"model.layers.35.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
277 |
+
"model.layers.35.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
278 |
+
"model.layers.36.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
279 |
+
"model.layers.36.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
280 |
+
"model.layers.36.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
281 |
+
"model.layers.36.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
282 |
+
"model.layers.36.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
283 |
+
"model.layers.36.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
284 |
+
"model.layers.36.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
285 |
+
"model.layers.36.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
286 |
+
"model.layers.36.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
287 |
+
"model.layers.37.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
288 |
+
"model.layers.37.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
289 |
+
"model.layers.37.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
290 |
+
"model.layers.37.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
291 |
+
"model.layers.37.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
292 |
+
"model.layers.37.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
293 |
+
"model.layers.37.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
294 |
+
"model.layers.37.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
295 |
+
"model.layers.37.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
296 |
+
"model.layers.38.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
297 |
+
"model.layers.38.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
298 |
+
"model.layers.38.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
299 |
+
"model.layers.38.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
300 |
+
"model.layers.38.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
301 |
+
"model.layers.38.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
302 |
+
"model.layers.38.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
303 |
+
"model.layers.38.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
304 |
+
"model.layers.38.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
305 |
+
"model.layers.39.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
306 |
+
"model.layers.39.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
307 |
+
"model.layers.39.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
308 |
+
"model.layers.39.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
309 |
+
"model.layers.39.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
310 |
+
"model.layers.39.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
311 |
+
"model.layers.39.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
312 |
+
"model.layers.39.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
313 |
+
"model.layers.39.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
314 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
315 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
316 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
317 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
318 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
319 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
320 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
321 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
322 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
323 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
324 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
325 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
326 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
327 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
328 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
329 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
330 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
331 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
332 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
333 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
334 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
335 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
336 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
337 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
338 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
339 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
340 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
341 |
+
"model.layers.7.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
342 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
343 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
344 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
345 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
346 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
347 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
348 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
349 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
350 |
+
"model.layers.8.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
351 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
352 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
353 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
354 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
355 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
356 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
357 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
358 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
359 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
360 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
361 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
362 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
363 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
364 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
365 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
366 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
367 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
368 |
+
"model.mm_projector.0.bias": "model-00006-of-00006.safetensors",
|
369 |
+
"model.mm_projector.0.weight": "model-00006-of-00006.safetensors",
|
370 |
+
"model.mm_projector.2.bias": "model-00006-of-00006.safetensors",
|
371 |
+
"model.mm_projector.2.weight": "model-00006-of-00006.safetensors",
|
372 |
+
"model.norm.weight": "model-00006-of-00006.safetensors",
|
373 |
+
"model.vision_tower.vision_tower.vision_model.embeddings.class_embedding": "model-00006-of-00006.safetensors",
|
374 |
+
"model.vision_tower.vision_tower.vision_model.embeddings.patch_embedding.weight": "model-00006-of-00006.safetensors",
|
375 |
+
"model.vision_tower.vision_tower.vision_model.embeddings.position_embedding.weight": "model-00006-of-00006.safetensors",
|
376 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.0.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
377 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.0.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
378 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.0.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
379 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.0.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
380 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.0.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
381 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.0.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
382 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.0.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
383 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.0.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
384 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
385 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
386 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
387 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
388 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
389 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
390 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
391 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
392 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.1.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
393 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.1.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
394 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.1.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
395 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.1.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
396 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.1.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
397 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.1.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
398 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.1.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
399 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.1.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
400 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
401 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
402 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
403 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
404 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
405 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
406 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
407 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
408 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.10.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
409 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.10.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
410 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.10.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
411 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.10.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
412 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.10.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
413 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.10.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
414 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.10.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
415 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.10.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
416 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
417 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
418 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
419 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
420 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
421 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
422 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
423 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
424 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.11.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
425 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.11.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
426 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.11.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
427 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.11.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
428 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.11.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
429 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.11.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
430 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.11.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
431 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.11.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
432 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
433 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
434 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
435 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
436 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
437 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
438 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
439 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
440 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.12.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
441 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.12.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
442 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.12.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
443 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.12.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
444 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.12.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
445 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.12.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
446 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.12.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
447 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.12.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
448 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
449 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
450 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
451 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
452 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
453 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
454 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
455 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
456 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.13.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
457 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.13.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
458 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.13.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
459 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.13.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
460 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.13.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
461 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.13.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
462 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.13.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
463 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.13.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
464 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
465 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
466 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
467 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
468 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
469 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
470 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
471 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
472 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.14.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
473 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.14.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
474 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.14.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
475 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.14.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
476 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.14.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
477 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.14.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
478 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.14.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
479 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.14.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
480 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
481 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
482 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
483 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
484 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
485 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
486 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
487 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
488 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.15.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
489 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.15.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
490 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.15.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
491 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.15.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
492 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.15.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
493 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.15.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
494 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.15.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
495 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.15.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
496 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
497 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
498 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
499 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
500 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
501 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
502 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
503 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
504 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.16.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
505 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.16.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
506 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.16.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
507 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.16.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
508 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.16.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
509 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.16.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
510 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.16.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
511 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.16.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
512 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
513 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
514 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
515 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
516 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
517 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
518 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
519 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
520 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.17.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
521 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.17.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
522 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.17.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
523 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.17.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
524 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.17.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
525 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.17.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
526 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.17.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
527 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.17.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
528 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
529 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
530 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
531 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
532 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
533 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
534 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
535 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
536 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.18.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
537 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.18.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
538 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.18.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
539 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.18.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
540 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.18.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
541 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.18.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
542 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.18.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
543 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.18.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
544 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
545 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
546 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
547 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
548 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
549 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
550 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
551 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
552 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.19.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
553 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.19.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
554 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.19.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
555 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.19.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
556 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.19.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
557 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.19.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
558 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.19.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
559 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.19.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
560 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
561 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
562 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
563 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
564 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
565 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
566 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
567 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
568 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.2.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
569 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.2.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
570 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.2.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
571 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.2.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
572 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.2.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
573 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.2.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
574 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.2.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
575 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.2.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
576 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
577 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
578 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
579 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
580 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
581 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
582 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
583 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
584 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.20.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
585 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.20.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
586 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.20.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
587 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.20.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
588 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.20.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
589 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.20.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
590 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.20.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
591 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.20.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
592 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
593 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
594 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
595 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
596 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
597 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
598 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
599 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
600 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.21.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
601 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.21.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
602 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.21.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
603 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.21.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
604 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.21.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
605 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.21.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
606 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.21.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
607 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.21.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
608 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
609 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
610 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
611 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
612 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
613 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
614 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
615 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
616 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.22.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
617 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.22.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
618 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.22.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
619 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.22.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
620 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.22.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
621 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.22.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
622 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.22.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
623 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.22.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
624 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
625 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
626 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
627 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
628 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
629 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
630 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
631 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
632 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.23.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
633 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.23.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
634 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.23.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
635 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.23.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
636 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.23.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
637 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.23.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
638 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.23.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
639 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.23.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
640 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
641 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
642 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
643 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
644 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
645 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
646 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
647 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
648 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.3.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
649 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.3.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
650 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.3.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
651 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.3.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
652 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.3.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
653 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.3.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
654 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.3.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
655 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.3.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
656 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
657 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
658 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
659 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
660 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
661 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
662 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
663 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
664 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.4.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
665 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.4.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
666 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.4.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
667 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.4.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
668 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.4.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
669 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.4.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
670 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.4.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
671 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.4.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
672 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
673 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
674 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
675 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
676 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
677 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
678 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
679 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
680 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.5.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
681 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.5.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
682 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.5.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
683 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.5.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
684 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.5.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
685 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.5.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
686 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.5.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
687 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.5.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
688 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
689 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
690 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
691 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
692 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
693 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
694 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
695 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
696 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.6.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
697 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.6.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
698 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.6.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
699 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.6.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
700 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.6.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
701 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.6.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
702 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.6.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
703 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.6.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
704 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
705 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
706 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
707 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
708 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
709 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
710 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
711 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
712 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.7.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
713 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.7.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
714 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.7.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
715 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.7.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
716 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.7.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
717 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.7.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
718 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.7.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
719 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.7.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
720 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
721 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
722 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
723 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
724 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
725 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
726 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
727 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
728 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.8.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
729 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.8.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
730 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.8.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
731 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.8.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
732 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.8.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
733 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.8.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
734 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.8.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
735 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.8.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
736 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
737 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
738 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
739 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
740 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
741 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
742 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
743 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
744 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.9.layer_norm1.bias": "model-00006-of-00006.safetensors",
|
745 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.9.layer_norm1.weight": "model-00006-of-00006.safetensors",
|
746 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.9.layer_norm2.bias": "model-00006-of-00006.safetensors",
|
747 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.9.layer_norm2.weight": "model-00006-of-00006.safetensors",
|
748 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.9.mlp.fc1.bias": "model-00006-of-00006.safetensors",
|
749 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.9.mlp.fc1.weight": "model-00006-of-00006.safetensors",
|
750 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.9.mlp.fc2.bias": "model-00006-of-00006.safetensors",
|
751 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.9.mlp.fc2.weight": "model-00006-of-00006.safetensors",
|
752 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
753 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
754 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.bias": "model-00006-of-00006.safetensors",
|
755 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.weight": "model-00006-of-00006.safetensors",
|
756 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
757 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
758 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
759 |
+
"model.vision_tower.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
760 |
+
"model.vision_tower.vision_tower.vision_model.post_layernorm.bias": "model-00006-of-00006.safetensors",
|
761 |
+
"model.vision_tower.vision_tower.vision_model.post_layernorm.weight": "model-00006-of-00006.safetensors",
|
762 |
+
"model.vision_tower.vision_tower.vision_model.pre_layrnorm.bias": "model-00006-of-00006.safetensors",
|
763 |
+
"model.vision_tower.vision_tower.vision_model.pre_layrnorm.weight": "model-00006-of-00006.safetensors"
|
764 |
+
}
|
765 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "<unk>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
tokenizer_config.json
ADDED
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"bos_token": "<s>",
|
31 |
+
"clean_up_tokenization_spaces": false,
|
32 |
+
"eos_token": "</s>",
|
33 |
+
"legacy": false,
|
34 |
+
"model_max_length": 4096,
|
35 |
+
"pad_token": "<unk>",
|
36 |
+
"padding_side": "right",
|
37 |
+
"sp_model_kwargs": {},
|
38 |
+
"spaces_between_special_tokens": false,
|
39 |
+
"tokenizer_class": "LlamaTokenizer",
|
40 |
+
"unk_token": "<unk>",
|
41 |
+
"use_default_system_prompt": false
|
42 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,3150 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 520,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"learning_rate": 6.25e-06,
|
14 |
+
"loss": 2.1094,
|
15 |
+
"step": 1
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.0,
|
19 |
+
"learning_rate": 1.25e-05,
|
20 |
+
"loss": 2.1719,
|
21 |
+
"step": 2
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.01,
|
25 |
+
"learning_rate": 1.8750000000000002e-05,
|
26 |
+
"loss": 1.8203,
|
27 |
+
"step": 3
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.01,
|
31 |
+
"learning_rate": 2.5e-05,
|
32 |
+
"loss": 1.1953,
|
33 |
+
"step": 4
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.01,
|
37 |
+
"learning_rate": 3.125e-05,
|
38 |
+
"loss": 1.0938,
|
39 |
+
"step": 5
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.01,
|
43 |
+
"learning_rate": 3.7500000000000003e-05,
|
44 |
+
"loss": 1.125,
|
45 |
+
"step": 6
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.01,
|
49 |
+
"learning_rate": 4.375e-05,
|
50 |
+
"loss": 1.0625,
|
51 |
+
"step": 7
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.02,
|
55 |
+
"learning_rate": 5e-05,
|
56 |
+
"loss": 1.0859,
|
57 |
+
"step": 8
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.02,
|
61 |
+
"learning_rate": 5.6250000000000005e-05,
|
62 |
+
"loss": 1.0156,
|
63 |
+
"step": 9
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.02,
|
67 |
+
"learning_rate": 6.25e-05,
|
68 |
+
"loss": 1.0,
|
69 |
+
"step": 10
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.02,
|
73 |
+
"learning_rate": 6.875e-05,
|
74 |
+
"loss": 0.9844,
|
75 |
+
"step": 11
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.02,
|
79 |
+
"learning_rate": 7.500000000000001e-05,
|
80 |
+
"loss": 0.9805,
|
81 |
+
"step": 12
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.03,
|
85 |
+
"learning_rate": 8.125000000000001e-05,
|
86 |
+
"loss": 0.9727,
|
87 |
+
"step": 13
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.03,
|
91 |
+
"learning_rate": 8.75e-05,
|
92 |
+
"loss": 0.9648,
|
93 |
+
"step": 14
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.03,
|
97 |
+
"learning_rate": 9.375e-05,
|
98 |
+
"loss": 0.9258,
|
99 |
+
"step": 15
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.03,
|
103 |
+
"learning_rate": 0.0001,
|
104 |
+
"loss": 0.9531,
|
105 |
+
"step": 16
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.03,
|
109 |
+
"learning_rate": 9.999902864657691e-05,
|
110 |
+
"loss": 0.9453,
|
111 |
+
"step": 17
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.03,
|
115 |
+
"learning_rate": 9.999611462404875e-05,
|
116 |
+
"loss": 0.957,
|
117 |
+
"step": 18
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.04,
|
121 |
+
"learning_rate": 9.999125804563732e-05,
|
122 |
+
"loss": 0.9375,
|
123 |
+
"step": 19
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.04,
|
127 |
+
"learning_rate": 9.998445910004082e-05,
|
128 |
+
"loss": 0.9102,
|
129 |
+
"step": 20
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.04,
|
133 |
+
"learning_rate": 9.997571805142639e-05,
|
134 |
+
"loss": 0.9375,
|
135 |
+
"step": 21
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.04,
|
139 |
+
"learning_rate": 9.996503523941994e-05,
|
140 |
+
"loss": 0.918,
|
141 |
+
"step": 22
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.04,
|
145 |
+
"learning_rate": 9.99524110790929e-05,
|
146 |
+
"loss": 0.8906,
|
147 |
+
"step": 23
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.05,
|
151 |
+
"learning_rate": 9.993784606094612e-05,
|
152 |
+
"loss": 0.9102,
|
153 |
+
"step": 24
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.05,
|
157 |
+
"learning_rate": 9.992134075089084e-05,
|
158 |
+
"loss": 0.8984,
|
159 |
+
"step": 25
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.05,
|
163 |
+
"learning_rate": 9.99028957902266e-05,
|
164 |
+
"loss": 0.8945,
|
165 |
+
"step": 26
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.05,
|
169 |
+
"learning_rate": 9.988251189561645e-05,
|
170 |
+
"loss": 0.9219,
|
171 |
+
"step": 27
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.05,
|
175 |
+
"learning_rate": 9.986018985905901e-05,
|
176 |
+
"loss": 0.8789,
|
177 |
+
"step": 28
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.06,
|
181 |
+
"learning_rate": 9.983593054785776e-05,
|
182 |
+
"loss": 0.8984,
|
183 |
+
"step": 29
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 0.06,
|
187 |
+
"learning_rate": 9.980973490458728e-05,
|
188 |
+
"loss": 0.8945,
|
189 |
+
"step": 30
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.06,
|
193 |
+
"learning_rate": 9.978160394705668e-05,
|
194 |
+
"loss": 0.8789,
|
195 |
+
"step": 31
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.06,
|
199 |
+
"learning_rate": 9.975153876827008e-05,
|
200 |
+
"loss": 0.9062,
|
201 |
+
"step": 32
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.06,
|
205 |
+
"learning_rate": 9.971954053638399e-05,
|
206 |
+
"loss": 0.875,
|
207 |
+
"step": 33
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.07,
|
211 |
+
"learning_rate": 9.968561049466214e-05,
|
212 |
+
"loss": 0.8594,
|
213 |
+
"step": 34
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.07,
|
217 |
+
"learning_rate": 9.964974996142698e-05,
|
218 |
+
"loss": 0.8672,
|
219 |
+
"step": 35
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.07,
|
223 |
+
"learning_rate": 9.961196033000861e-05,
|
224 |
+
"loss": 0.8711,
|
225 |
+
"step": 36
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.07,
|
229 |
+
"learning_rate": 9.957224306869053e-05,
|
230 |
+
"loss": 0.8828,
|
231 |
+
"step": 37
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.07,
|
235 |
+
"learning_rate": 9.953059972065265e-05,
|
236 |
+
"loss": 0.8594,
|
237 |
+
"step": 38
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 0.07,
|
241 |
+
"learning_rate": 9.948703190391131e-05,
|
242 |
+
"loss": 0.8672,
|
243 |
+
"step": 39
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 0.08,
|
247 |
+
"learning_rate": 9.944154131125642e-05,
|
248 |
+
"loss": 0.8789,
|
249 |
+
"step": 40
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.08,
|
253 |
+
"learning_rate": 9.939412971018574e-05,
|
254 |
+
"loss": 0.875,
|
255 |
+
"step": 41
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.08,
|
259 |
+
"learning_rate": 9.934479894283606e-05,
|
260 |
+
"loss": 0.8672,
|
261 |
+
"step": 42
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.08,
|
265 |
+
"learning_rate": 9.92935509259118e-05,
|
266 |
+
"loss": 0.8594,
|
267 |
+
"step": 43
|
268 |
+
},
|
269 |
+
{
|
270 |
+
"epoch": 0.08,
|
271 |
+
"learning_rate": 9.924038765061042e-05,
|
272 |
+
"loss": 0.8711,
|
273 |
+
"step": 44
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 0.09,
|
277 |
+
"learning_rate": 9.918531118254507e-05,
|
278 |
+
"loss": 0.8672,
|
279 |
+
"step": 45
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.09,
|
283 |
+
"learning_rate": 9.912832366166442e-05,
|
284 |
+
"loss": 0.8516,
|
285 |
+
"step": 46
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.09,
|
289 |
+
"learning_rate": 9.906942730216939e-05,
|
290 |
+
"loss": 0.8477,
|
291 |
+
"step": 47
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.09,
|
295 |
+
"learning_rate": 9.900862439242719e-05,
|
296 |
+
"loss": 0.8555,
|
297 |
+
"step": 48
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.09,
|
301 |
+
"learning_rate": 9.894591729488242e-05,
|
302 |
+
"loss": 0.875,
|
303 |
+
"step": 49
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.1,
|
307 |
+
"learning_rate": 9.888130844596524e-05,
|
308 |
+
"loss": 0.8438,
|
309 |
+
"step": 50
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.1,
|
313 |
+
"learning_rate": 9.881480035599667e-05,
|
314 |
+
"loss": 0.8516,
|
315 |
+
"step": 51
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 0.1,
|
319 |
+
"learning_rate": 9.874639560909117e-05,
|
320 |
+
"loss": 0.8789,
|
321 |
+
"step": 52
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.1,
|
325 |
+
"learning_rate": 9.867609686305617e-05,
|
326 |
+
"loss": 0.8711,
|
327 |
+
"step": 53
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 0.1,
|
331 |
+
"learning_rate": 9.860390684928873e-05,
|
332 |
+
"loss": 0.8594,
|
333 |
+
"step": 54
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 0.11,
|
337 |
+
"learning_rate": 9.852982837266955e-05,
|
338 |
+
"loss": 0.8555,
|
339 |
+
"step": 55
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.11,
|
343 |
+
"learning_rate": 9.84538643114539e-05,
|
344 |
+
"loss": 0.8633,
|
345 |
+
"step": 56
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.11,
|
349 |
+
"learning_rate": 9.837601761715983e-05,
|
350 |
+
"loss": 0.8438,
|
351 |
+
"step": 57
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.11,
|
355 |
+
"learning_rate": 9.829629131445342e-05,
|
356 |
+
"loss": 0.8438,
|
357 |
+
"step": 58
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 0.11,
|
361 |
+
"learning_rate": 9.82146885010314e-05,
|
362 |
+
"loss": 0.8555,
|
363 |
+
"step": 59
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 0.12,
|
367 |
+
"learning_rate": 9.81312123475006e-05,
|
368 |
+
"loss": 0.8477,
|
369 |
+
"step": 60
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.12,
|
373 |
+
"learning_rate": 9.804586609725499e-05,
|
374 |
+
"loss": 0.875,
|
375 |
+
"step": 61
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 0.12,
|
379 |
+
"learning_rate": 9.79586530663494e-05,
|
380 |
+
"loss": 0.8555,
|
381 |
+
"step": 62
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.12,
|
385 |
+
"learning_rate": 9.78695766433709e-05,
|
386 |
+
"loss": 0.8438,
|
387 |
+
"step": 63
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.12,
|
391 |
+
"learning_rate": 9.777864028930705e-05,
|
392 |
+
"loss": 0.8594,
|
393 |
+
"step": 64
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 0.12,
|
397 |
+
"learning_rate": 9.768584753741134e-05,
|
398 |
+
"loss": 0.8203,
|
399 |
+
"step": 65
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 0.13,
|
403 |
+
"learning_rate": 9.759120199306613e-05,
|
404 |
+
"loss": 0.8281,
|
405 |
+
"step": 66
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 0.13,
|
409 |
+
"learning_rate": 9.74947073336423e-05,
|
410 |
+
"loss": 0.8438,
|
411 |
+
"step": 67
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 0.13,
|
415 |
+
"learning_rate": 9.73963673083566e-05,
|
416 |
+
"loss": 0.8594,
|
417 |
+
"step": 68
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.13,
|
421 |
+
"learning_rate": 9.72961857381258e-05,
|
422 |
+
"loss": 0.8555,
|
423 |
+
"step": 69
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.13,
|
427 |
+
"learning_rate": 9.719416651541839e-05,
|
428 |
+
"loss": 0.8242,
|
429 |
+
"step": 70
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.14,
|
433 |
+
"learning_rate": 9.709031360410318e-05,
|
434 |
+
"loss": 0.8555,
|
435 |
+
"step": 71
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 0.14,
|
439 |
+
"learning_rate": 9.698463103929542e-05,
|
440 |
+
"loss": 0.8359,
|
441 |
+
"step": 72
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 0.14,
|
445 |
+
"learning_rate": 9.687712292719997e-05,
|
446 |
+
"loss": 0.8438,
|
447 |
+
"step": 73
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 0.14,
|
451 |
+
"learning_rate": 9.67677934449517e-05,
|
452 |
+
"loss": 0.8594,
|
453 |
+
"step": 74
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 0.14,
|
457 |
+
"learning_rate": 9.665664684045333e-05,
|
458 |
+
"loss": 0.8516,
|
459 |
+
"step": 75
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.15,
|
463 |
+
"learning_rate": 9.654368743221022e-05,
|
464 |
+
"loss": 0.8242,
|
465 |
+
"step": 76
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.15,
|
469 |
+
"learning_rate": 9.642891960916268e-05,
|
470 |
+
"loss": 0.8281,
|
471 |
+
"step": 77
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.15,
|
475 |
+
"learning_rate": 9.631234783051544e-05,
|
476 |
+
"loss": 0.832,
|
477 |
+
"step": 78
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 0.15,
|
481 |
+
"learning_rate": 9.619397662556435e-05,
|
482 |
+
"loss": 0.8398,
|
483 |
+
"step": 79
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 0.15,
|
487 |
+
"learning_rate": 9.607381059352038e-05,
|
488 |
+
"loss": 0.8359,
|
489 |
+
"step": 80
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.16,
|
493 |
+
"learning_rate": 9.595185440333103e-05,
|
494 |
+
"loss": 0.8086,
|
495 |
+
"step": 81
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 0.16,
|
499 |
+
"learning_rate": 9.582811279349882e-05,
|
500 |
+
"loss": 0.8281,
|
501 |
+
"step": 82
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 0.16,
|
505 |
+
"learning_rate": 9.570259057189717e-05,
|
506 |
+
"loss": 0.8125,
|
507 |
+
"step": 83
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.16,
|
511 |
+
"learning_rate": 9.557529261558367e-05,
|
512 |
+
"loss": 0.8359,
|
513 |
+
"step": 84
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.16,
|
517 |
+
"learning_rate": 9.544622387061055e-05,
|
518 |
+
"loss": 0.8398,
|
519 |
+
"step": 85
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 0.17,
|
523 |
+
"learning_rate": 9.53153893518325e-05,
|
524 |
+
"loss": 0.8516,
|
525 |
+
"step": 86
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 0.17,
|
529 |
+
"learning_rate": 9.518279414271183e-05,
|
530 |
+
"loss": 0.8555,
|
531 |
+
"step": 87
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 0.17,
|
535 |
+
"learning_rate": 9.504844339512095e-05,
|
536 |
+
"loss": 0.8438,
|
537 |
+
"step": 88
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 0.17,
|
541 |
+
"learning_rate": 9.491234232914221e-05,
|
542 |
+
"loss": 0.8203,
|
543 |
+
"step": 89
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 0.17,
|
547 |
+
"learning_rate": 9.477449623286505e-05,
|
548 |
+
"loss": 0.8242,
|
549 |
+
"step": 90
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.17,
|
553 |
+
"learning_rate": 9.463491046218058e-05,
|
554 |
+
"loss": 0.8164,
|
555 |
+
"step": 91
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.18,
|
559 |
+
"learning_rate": 9.449359044057345e-05,
|
560 |
+
"loss": 0.8164,
|
561 |
+
"step": 92
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 0.18,
|
565 |
+
"learning_rate": 9.435054165891109e-05,
|
566 |
+
"loss": 0.8164,
|
567 |
+
"step": 93
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 0.18,
|
571 |
+
"learning_rate": 9.420576967523049e-05,
|
572 |
+
"loss": 0.8359,
|
573 |
+
"step": 94
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 0.18,
|
577 |
+
"learning_rate": 9.405928011452211e-05,
|
578 |
+
"loss": 0.8398,
|
579 |
+
"step": 95
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 0.18,
|
583 |
+
"learning_rate": 9.391107866851143e-05,
|
584 |
+
"loss": 0.8164,
|
585 |
+
"step": 96
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 0.19,
|
589 |
+
"learning_rate": 9.376117109543769e-05,
|
590 |
+
"loss": 0.8516,
|
591 |
+
"step": 97
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.19,
|
595 |
+
"learning_rate": 9.360956321983028e-05,
|
596 |
+
"loss": 0.8281,
|
597 |
+
"step": 98
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.19,
|
601 |
+
"learning_rate": 9.345626093228233e-05,
|
602 |
+
"loss": 0.8164,
|
603 |
+
"step": 99
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 0.19,
|
607 |
+
"learning_rate": 9.330127018922194e-05,
|
608 |
+
"loss": 0.8555,
|
609 |
+
"step": 100
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 0.19,
|
613 |
+
"learning_rate": 9.314459701268065e-05,
|
614 |
+
"loss": 0.8125,
|
615 |
+
"step": 101
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 0.2,
|
619 |
+
"learning_rate": 9.298624749005951e-05,
|
620 |
+
"loss": 0.8242,
|
621 |
+
"step": 102
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 0.2,
|
625 |
+
"learning_rate": 9.282622777389258e-05,
|
626 |
+
"loss": 0.8281,
|
627 |
+
"step": 103
|
628 |
+
},
|
629 |
+
{
|
630 |
+
"epoch": 0.2,
|
631 |
+
"learning_rate": 9.266454408160779e-05,
|
632 |
+
"loss": 0.832,
|
633 |
+
"step": 104
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.2,
|
637 |
+
"learning_rate": 9.250120269528546e-05,
|
638 |
+
"loss": 0.8242,
|
639 |
+
"step": 105
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.2,
|
643 |
+
"learning_rate": 9.233620996141421e-05,
|
644 |
+
"loss": 0.8438,
|
645 |
+
"step": 106
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 0.21,
|
649 |
+
"learning_rate": 9.21695722906443e-05,
|
650 |
+
"loss": 0.8281,
|
651 |
+
"step": 107
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 0.21,
|
655 |
+
"learning_rate": 9.200129615753859e-05,
|
656 |
+
"loss": 0.8203,
|
657 |
+
"step": 108
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 0.21,
|
661 |
+
"learning_rate": 9.183138810032099e-05,
|
662 |
+
"loss": 0.8398,
|
663 |
+
"step": 109
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 0.21,
|
667 |
+
"learning_rate": 9.165985472062246e-05,
|
668 |
+
"loss": 0.8359,
|
669 |
+
"step": 110
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 0.21,
|
673 |
+
"learning_rate": 9.148670268322438e-05,
|
674 |
+
"loss": 0.8281,
|
675 |
+
"step": 111
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 0.22,
|
679 |
+
"learning_rate": 9.131193871579975e-05,
|
680 |
+
"loss": 0.8125,
|
681 |
+
"step": 112
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.22,
|
685 |
+
"learning_rate": 9.113556960865167e-05,
|
686 |
+
"loss": 0.8359,
|
687 |
+
"step": 113
|
688 |
+
},
|
689 |
+
{
|
690 |
+
"epoch": 0.22,
|
691 |
+
"learning_rate": 9.09576022144496e-05,
|
692 |
+
"loss": 0.8281,
|
693 |
+
"step": 114
|
694 |
+
},
|
695 |
+
{
|
696 |
+
"epoch": 0.22,
|
697 |
+
"learning_rate": 9.077804344796302e-05,
|
698 |
+
"loss": 0.8047,
|
699 |
+
"step": 115
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 0.22,
|
703 |
+
"learning_rate": 9.059690028579284e-05,
|
704 |
+
"loss": 0.8125,
|
705 |
+
"step": 116
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 0.23,
|
709 |
+
"learning_rate": 9.041417976610027e-05,
|
710 |
+
"loss": 0.8203,
|
711 |
+
"step": 117
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 0.23,
|
715 |
+
"learning_rate": 9.022988898833342e-05,
|
716 |
+
"loss": 0.832,
|
717 |
+
"step": 118
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 0.23,
|
721 |
+
"learning_rate": 9.004403511295141e-05,
|
722 |
+
"loss": 0.8242,
|
723 |
+
"step": 119
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.23,
|
727 |
+
"learning_rate": 8.985662536114613e-05,
|
728 |
+
"loss": 0.8203,
|
729 |
+
"step": 120
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 0.23,
|
733 |
+
"learning_rate": 8.966766701456177e-05,
|
734 |
+
"loss": 0.8164,
|
735 |
+
"step": 121
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 0.23,
|
739 |
+
"learning_rate": 8.947716741501177e-05,
|
740 |
+
"loss": 0.8242,
|
741 |
+
"step": 122
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 0.24,
|
745 |
+
"learning_rate": 8.928513396419368e-05,
|
746 |
+
"loss": 0.8008,
|
747 |
+
"step": 123
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 0.24,
|
751 |
+
"learning_rate": 8.90915741234015e-05,
|
752 |
+
"loss": 0.8125,
|
753 |
+
"step": 124
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 0.24,
|
757 |
+
"learning_rate": 8.889649541323574e-05,
|
758 |
+
"loss": 0.832,
|
759 |
+
"step": 125
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 0.24,
|
763 |
+
"learning_rate": 8.869990541331138e-05,
|
764 |
+
"loss": 0.8047,
|
765 |
+
"step": 126
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.24,
|
769 |
+
"learning_rate": 8.850181176196315e-05,
|
770 |
+
"loss": 0.8086,
|
771 |
+
"step": 127
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 0.25,
|
775 |
+
"learning_rate": 8.83022221559489e-05,
|
776 |
+
"loss": 0.8164,
|
777 |
+
"step": 128
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 0.25,
|
781 |
+
"learning_rate": 8.810114435015054e-05,
|
782 |
+
"loss": 0.8047,
|
783 |
+
"step": 129
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 0.25,
|
787 |
+
"learning_rate": 8.789858615727265e-05,
|
788 |
+
"loss": 0.8047,
|
789 |
+
"step": 130
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 0.25,
|
793 |
+
"learning_rate": 8.7694555447539e-05,
|
794 |
+
"loss": 0.8359,
|
795 |
+
"step": 131
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 0.25,
|
799 |
+
"learning_rate": 8.748906014838672e-05,
|
800 |
+
"loss": 0.832,
|
801 |
+
"step": 132
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 0.26,
|
805 |
+
"learning_rate": 8.728210824415827e-05,
|
806 |
+
"loss": 0.8086,
|
807 |
+
"step": 133
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.26,
|
811 |
+
"learning_rate": 8.707370777579133e-05,
|
812 |
+
"loss": 0.8008,
|
813 |
+
"step": 134
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 0.26,
|
817 |
+
"learning_rate": 8.68638668405062e-05,
|
818 |
+
"loss": 0.8164,
|
819 |
+
"step": 135
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 0.26,
|
823 |
+
"learning_rate": 8.665259359149132e-05,
|
824 |
+
"loss": 0.8125,
|
825 |
+
"step": 136
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 0.26,
|
829 |
+
"learning_rate": 8.643989623758643e-05,
|
830 |
+
"loss": 0.8281,
|
831 |
+
"step": 137
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 0.27,
|
835 |
+
"learning_rate": 8.622578304296364e-05,
|
836 |
+
"loss": 0.8125,
|
837 |
+
"step": 138
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 0.27,
|
841 |
+
"learning_rate": 8.601026232680634e-05,
|
842 |
+
"loss": 0.8047,
|
843 |
+
"step": 139
|
844 |
+
},
|
845 |
+
{
|
846 |
+
"epoch": 0.27,
|
847 |
+
"learning_rate": 8.579334246298593e-05,
|
848 |
+
"loss": 0.8008,
|
849 |
+
"step": 140
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.27,
|
853 |
+
"learning_rate": 8.557503187973651e-05,
|
854 |
+
"loss": 0.8164,
|
855 |
+
"step": 141
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 0.27,
|
859 |
+
"learning_rate": 8.535533905932738e-05,
|
860 |
+
"loss": 0.8164,
|
861 |
+
"step": 142
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 0.28,
|
865 |
+
"learning_rate": 8.513427253773346e-05,
|
866 |
+
"loss": 0.8047,
|
867 |
+
"step": 143
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 0.28,
|
871 |
+
"learning_rate": 8.491184090430364e-05,
|
872 |
+
"loss": 0.8008,
|
873 |
+
"step": 144
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 0.28,
|
877 |
+
"learning_rate": 8.468805280142709e-05,
|
878 |
+
"loss": 0.7969,
|
879 |
+
"step": 145
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 0.28,
|
883 |
+
"learning_rate": 8.446291692419736e-05,
|
884 |
+
"loss": 0.8086,
|
885 |
+
"step": 146
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 0.28,
|
889 |
+
"learning_rate": 8.423644202007467e-05,
|
890 |
+
"loss": 0.7969,
|
891 |
+
"step": 147
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.28,
|
895 |
+
"learning_rate": 8.400863688854597e-05,
|
896 |
+
"loss": 0.8281,
|
897 |
+
"step": 148
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 0.29,
|
901 |
+
"learning_rate": 8.377951038078302e-05,
|
902 |
+
"loss": 0.8203,
|
903 |
+
"step": 149
|
904 |
+
},
|
905 |
+
{
|
906 |
+
"epoch": 0.29,
|
907 |
+
"learning_rate": 8.354907139929851e-05,
|
908 |
+
"loss": 0.8164,
|
909 |
+
"step": 150
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 0.29,
|
913 |
+
"learning_rate": 8.33173288976002e-05,
|
914 |
+
"loss": 0.8203,
|
915 |
+
"step": 151
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 0.29,
|
919 |
+
"learning_rate": 8.308429187984297e-05,
|
920 |
+
"loss": 0.8125,
|
921 |
+
"step": 152
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 0.29,
|
925 |
+
"learning_rate": 8.284996940047903e-05,
|
926 |
+
"loss": 0.8242,
|
927 |
+
"step": 153
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 0.3,
|
931 |
+
"learning_rate": 8.261437056390606e-05,
|
932 |
+
"loss": 0.8125,
|
933 |
+
"step": 154
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.3,
|
937 |
+
"learning_rate": 8.237750452411353e-05,
|
938 |
+
"loss": 0.8164,
|
939 |
+
"step": 155
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 0.3,
|
943 |
+
"learning_rate": 8.213938048432697e-05,
|
944 |
+
"loss": 0.8164,
|
945 |
+
"step": 156
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 0.3,
|
949 |
+
"learning_rate": 8.190000769665044e-05,
|
950 |
+
"loss": 0.8203,
|
951 |
+
"step": 157
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 0.3,
|
955 |
+
"learning_rate": 8.1659395461707e-05,
|
956 |
+
"loss": 0.7969,
|
957 |
+
"step": 158
|
958 |
+
},
|
959 |
+
{
|
960 |
+
"epoch": 0.31,
|
961 |
+
"learning_rate": 8.141755312827736e-05,
|
962 |
+
"loss": 0.8125,
|
963 |
+
"step": 159
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 0.31,
|
967 |
+
"learning_rate": 8.117449009293668e-05,
|
968 |
+
"loss": 0.8086,
|
969 |
+
"step": 160
|
970 |
+
},
|
971 |
+
{
|
972 |
+
"epoch": 0.31,
|
973 |
+
"learning_rate": 8.093021579968941e-05,
|
974 |
+
"loss": 0.8047,
|
975 |
+
"step": 161
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.31,
|
979 |
+
"learning_rate": 8.068473973960238e-05,
|
980 |
+
"loss": 0.8047,
|
981 |
+
"step": 162
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 0.31,
|
985 |
+
"learning_rate": 8.043807145043604e-05,
|
986 |
+
"loss": 0.793,
|
987 |
+
"step": 163
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 0.32,
|
991 |
+
"learning_rate": 8.019022051627388e-05,
|
992 |
+
"loss": 0.8359,
|
993 |
+
"step": 164
|
994 |
+
},
|
995 |
+
{
|
996 |
+
"epoch": 0.32,
|
997 |
+
"learning_rate": 7.994119656715002e-05,
|
998 |
+
"loss": 0.7891,
|
999 |
+
"step": 165
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 0.32,
|
1003 |
+
"learning_rate": 7.969100927867507e-05,
|
1004 |
+
"loss": 0.8047,
|
1005 |
+
"step": 166
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 0.32,
|
1009 |
+
"learning_rate": 7.943966837166023e-05,
|
1010 |
+
"loss": 0.8008,
|
1011 |
+
"step": 167
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 0.32,
|
1015 |
+
"learning_rate": 7.91871836117395e-05,
|
1016 |
+
"loss": 0.8125,
|
1017 |
+
"step": 168
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.33,
|
1021 |
+
"learning_rate": 7.89335648089903e-05,
|
1022 |
+
"loss": 0.793,
|
1023 |
+
"step": 169
|
1024 |
+
},
|
1025 |
+
{
|
1026 |
+
"epoch": 0.33,
|
1027 |
+
"learning_rate": 7.86788218175523e-05,
|
1028 |
+
"loss": 0.8125,
|
1029 |
+
"step": 170
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 0.33,
|
1033 |
+
"learning_rate": 7.842296453524463e-05,
|
1034 |
+
"loss": 0.8047,
|
1035 |
+
"step": 171
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 0.33,
|
1039 |
+
"learning_rate": 7.81660029031811e-05,
|
1040 |
+
"loss": 0.7969,
|
1041 |
+
"step": 172
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 0.33,
|
1045 |
+
"learning_rate": 7.79079469053842e-05,
|
1046 |
+
"loss": 0.7969,
|
1047 |
+
"step": 173
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 0.33,
|
1051 |
+
"learning_rate": 7.764880656839696e-05,
|
1052 |
+
"loss": 0.8203,
|
1053 |
+
"step": 174
|
1054 |
+
},
|
1055 |
+
{
|
1056 |
+
"epoch": 0.34,
|
1057 |
+
"learning_rate": 7.738859196089358e-05,
|
1058 |
+
"loss": 0.8008,
|
1059 |
+
"step": 175
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.34,
|
1063 |
+
"learning_rate": 7.712731319328798e-05,
|
1064 |
+
"loss": 0.8203,
|
1065 |
+
"step": 176
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 0.34,
|
1069 |
+
"learning_rate": 7.68649804173412e-05,
|
1070 |
+
"loss": 0.7891,
|
1071 |
+
"step": 177
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 0.34,
|
1075 |
+
"learning_rate": 7.660160382576683e-05,
|
1076 |
+
"loss": 0.8008,
|
1077 |
+
"step": 178
|
1078 |
+
},
|
1079 |
+
{
|
1080 |
+
"epoch": 0.34,
|
1081 |
+
"learning_rate": 7.633719365183504e-05,
|
1082 |
+
"loss": 0.8125,
|
1083 |
+
"step": 179
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 0.35,
|
1087 |
+
"learning_rate": 7.60717601689749e-05,
|
1088 |
+
"loss": 0.793,
|
1089 |
+
"step": 180
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"epoch": 0.35,
|
1093 |
+
"learning_rate": 7.580531369037533e-05,
|
1094 |
+
"loss": 0.7969,
|
1095 |
+
"step": 181
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 0.35,
|
1099 |
+
"learning_rate": 7.553786456858429e-05,
|
1100 |
+
"loss": 0.7969,
|
1101 |
+
"step": 182
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.35,
|
1105 |
+
"learning_rate": 7.526942319510655e-05,
|
1106 |
+
"loss": 0.8008,
|
1107 |
+
"step": 183
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 0.35,
|
1111 |
+
"learning_rate": 7.500000000000001e-05,
|
1112 |
+
"loss": 0.8008,
|
1113 |
+
"step": 184
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 0.36,
|
1117 |
+
"learning_rate": 7.472960545147038e-05,
|
1118 |
+
"loss": 0.8008,
|
1119 |
+
"step": 185
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 0.36,
|
1123 |
+
"learning_rate": 7.445825005546448e-05,
|
1124 |
+
"loss": 0.8125,
|
1125 |
+
"step": 186
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 0.36,
|
1129 |
+
"learning_rate": 7.4185944355262e-05,
|
1130 |
+
"loss": 0.8203,
|
1131 |
+
"step": 187
|
1132 |
+
},
|
1133 |
+
{
|
1134 |
+
"epoch": 0.36,
|
1135 |
+
"learning_rate": 7.391269893106592e-05,
|
1136 |
+
"loss": 0.8164,
|
1137 |
+
"step": 188
|
1138 |
+
},
|
1139 |
+
{
|
1140 |
+
"epoch": 0.36,
|
1141 |
+
"learning_rate": 7.363852439959135e-05,
|
1142 |
+
"loss": 0.8203,
|
1143 |
+
"step": 189
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.37,
|
1147 |
+
"learning_rate": 7.33634314136531e-05,
|
1148 |
+
"loss": 0.8164,
|
1149 |
+
"step": 190
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 0.37,
|
1153 |
+
"learning_rate": 7.308743066175172e-05,
|
1154 |
+
"loss": 0.7969,
|
1155 |
+
"step": 191
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 0.37,
|
1159 |
+
"learning_rate": 7.281053286765815e-05,
|
1160 |
+
"loss": 0.7852,
|
1161 |
+
"step": 192
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 0.37,
|
1165 |
+
"learning_rate": 7.253274878999727e-05,
|
1166 |
+
"loss": 0.8164,
|
1167 |
+
"step": 193
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 0.37,
|
1171 |
+
"learning_rate": 7.225408922182961e-05,
|
1172 |
+
"loss": 0.8203,
|
1173 |
+
"step": 194
|
1174 |
+
},
|
1175 |
+
{
|
1176 |
+
"epoch": 0.38,
|
1177 |
+
"learning_rate": 7.197456499023225e-05,
|
1178 |
+
"loss": 0.7891,
|
1179 |
+
"step": 195
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 0.38,
|
1183 |
+
"learning_rate": 7.169418695587791e-05,
|
1184 |
+
"loss": 0.8125,
|
1185 |
+
"step": 196
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.38,
|
1189 |
+
"learning_rate": 7.141296601261314e-05,
|
1190 |
+
"loss": 0.8008,
|
1191 |
+
"step": 197
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 0.38,
|
1195 |
+
"learning_rate": 7.113091308703498e-05,
|
1196 |
+
"loss": 0.7891,
|
1197 |
+
"step": 198
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 0.38,
|
1201 |
+
"learning_rate": 7.084803913806641e-05,
|
1202 |
+
"loss": 0.8086,
|
1203 |
+
"step": 199
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 0.38,
|
1207 |
+
"learning_rate": 7.056435515653059e-05,
|
1208 |
+
"loss": 0.8125,
|
1209 |
+
"step": 200
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 0.39,
|
1213 |
+
"learning_rate": 7.027987216472377e-05,
|
1214 |
+
"loss": 0.8125,
|
1215 |
+
"step": 201
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 0.39,
|
1219 |
+
"learning_rate": 6.999460121598704e-05,
|
1220 |
+
"loss": 0.7852,
|
1221 |
+
"step": 202
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 0.39,
|
1225 |
+
"learning_rate": 6.970855339427698e-05,
|
1226 |
+
"loss": 0.7891,
|
1227 |
+
"step": 203
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.39,
|
1231 |
+
"learning_rate": 6.942173981373474e-05,
|
1232 |
+
"loss": 0.8125,
|
1233 |
+
"step": 204
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 0.39,
|
1237 |
+
"learning_rate": 6.91341716182545e-05,
|
1238 |
+
"loss": 0.8125,
|
1239 |
+
"step": 205
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"epoch": 0.4,
|
1243 |
+
"learning_rate": 6.884585998105026e-05,
|
1244 |
+
"loss": 0.8047,
|
1245 |
+
"step": 206
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 0.4,
|
1249 |
+
"learning_rate": 6.855681610422189e-05,
|
1250 |
+
"loss": 0.8008,
|
1251 |
+
"step": 207
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 0.4,
|
1255 |
+
"learning_rate": 6.826705121831976e-05,
|
1256 |
+
"loss": 0.8047,
|
1257 |
+
"step": 208
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"epoch": 0.4,
|
1261 |
+
"learning_rate": 6.797657658190839e-05,
|
1262 |
+
"loss": 0.8164,
|
1263 |
+
"step": 209
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 0.4,
|
1267 |
+
"learning_rate": 6.768540348112907e-05,
|
1268 |
+
"loss": 0.8047,
|
1269 |
+
"step": 210
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.41,
|
1273 |
+
"learning_rate": 6.739354322926136e-05,
|
1274 |
+
"loss": 0.8164,
|
1275 |
+
"step": 211
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 0.41,
|
1279 |
+
"learning_rate": 6.710100716628344e-05,
|
1280 |
+
"loss": 0.7969,
|
1281 |
+
"step": 212
|
1282 |
+
},
|
1283 |
+
{
|
1284 |
+
"epoch": 0.41,
|
1285 |
+
"learning_rate": 6.680780665843155e-05,
|
1286 |
+
"loss": 0.7969,
|
1287 |
+
"step": 213
|
1288 |
+
},
|
1289 |
+
{
|
1290 |
+
"epoch": 0.41,
|
1291 |
+
"learning_rate": 6.651395309775837e-05,
|
1292 |
+
"loss": 0.793,
|
1293 |
+
"step": 214
|
1294 |
+
},
|
1295 |
+
{
|
1296 |
+
"epoch": 0.41,
|
1297 |
+
"learning_rate": 6.621945790169036e-05,
|
1298 |
+
"loss": 0.8047,
|
1299 |
+
"step": 215
|
1300 |
+
},
|
1301 |
+
{
|
1302 |
+
"epoch": 0.42,
|
1303 |
+
"learning_rate": 6.592433251258423e-05,
|
1304 |
+
"loss": 0.7969,
|
1305 |
+
"step": 216
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 0.42,
|
1309 |
+
"learning_rate": 6.562858839728223e-05,
|
1310 |
+
"loss": 0.7969,
|
1311 |
+
"step": 217
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.42,
|
1315 |
+
"learning_rate": 6.533223704666672e-05,
|
1316 |
+
"loss": 0.7773,
|
1317 |
+
"step": 218
|
1318 |
+
},
|
1319 |
+
{
|
1320 |
+
"epoch": 0.42,
|
1321 |
+
"learning_rate": 6.503528997521366e-05,
|
1322 |
+
"loss": 0.8086,
|
1323 |
+
"step": 219
|
1324 |
+
},
|
1325 |
+
{
|
1326 |
+
"epoch": 0.42,
|
1327 |
+
"learning_rate": 6.473775872054521e-05,
|
1328 |
+
"loss": 0.8086,
|
1329 |
+
"step": 220
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 0.42,
|
1333 |
+
"learning_rate": 6.44396548429815e-05,
|
1334 |
+
"loss": 0.793,
|
1335 |
+
"step": 221
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 0.43,
|
1339 |
+
"learning_rate": 6.414098992509138e-05,
|
1340 |
+
"loss": 0.7852,
|
1341 |
+
"step": 222
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 0.43,
|
1345 |
+
"learning_rate": 6.384177557124247e-05,
|
1346 |
+
"loss": 0.7969,
|
1347 |
+
"step": 223
|
1348 |
+
},
|
1349 |
+
{
|
1350 |
+
"epoch": 0.43,
|
1351 |
+
"learning_rate": 6.354202340715026e-05,
|
1352 |
+
"loss": 0.8164,
|
1353 |
+
"step": 224
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.43,
|
1357 |
+
"learning_rate": 6.324174507942637e-05,
|
1358 |
+
"loss": 0.7695,
|
1359 |
+
"step": 225
|
1360 |
+
},
|
1361 |
+
{
|
1362 |
+
"epoch": 0.43,
|
1363 |
+
"learning_rate": 6.294095225512603e-05,
|
1364 |
+
"loss": 0.7852,
|
1365 |
+
"step": 226
|
1366 |
+
},
|
1367 |
+
{
|
1368 |
+
"epoch": 0.44,
|
1369 |
+
"learning_rate": 6.263965662129487e-05,
|
1370 |
+
"loss": 0.7891,
|
1371 |
+
"step": 227
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 0.44,
|
1375 |
+
"learning_rate": 6.233786988451468e-05,
|
1376 |
+
"loss": 0.8008,
|
1377 |
+
"step": 228
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 0.44,
|
1381 |
+
"learning_rate": 6.203560377044866e-05,
|
1382 |
+
"loss": 0.793,
|
1383 |
+
"step": 229
|
1384 |
+
},
|
1385 |
+
{
|
1386 |
+
"epoch": 0.44,
|
1387 |
+
"learning_rate": 6.173287002338577e-05,
|
1388 |
+
"loss": 0.793,
|
1389 |
+
"step": 230
|
1390 |
+
},
|
1391 |
+
{
|
1392 |
+
"epoch": 0.44,
|
1393 |
+
"learning_rate": 6.142968040578449e-05,
|
1394 |
+
"loss": 0.7969,
|
1395 |
+
"step": 231
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.45,
|
1399 |
+
"learning_rate": 6.112604669781572e-05,
|
1400 |
+
"loss": 0.8047,
|
1401 |
+
"step": 232
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 0.45,
|
1405 |
+
"learning_rate": 6.0821980696905146e-05,
|
1406 |
+
"loss": 0.7812,
|
1407 |
+
"step": 233
|
1408 |
+
},
|
1409 |
+
{
|
1410 |
+
"epoch": 0.45,
|
1411 |
+
"learning_rate": 6.0517494217274794e-05,
|
1412 |
+
"loss": 0.8047,
|
1413 |
+
"step": 234
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 0.45,
|
1417 |
+
"learning_rate": 6.021259908948402e-05,
|
1418 |
+
"loss": 0.7734,
|
1419 |
+
"step": 235
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 0.45,
|
1423 |
+
"learning_rate": 5.9907307159969884e-05,
|
1424 |
+
"loss": 0.7734,
|
1425 |
+
"step": 236
|
1426 |
+
},
|
1427 |
+
{
|
1428 |
+
"epoch": 0.46,
|
1429 |
+
"learning_rate": 5.960163029058682e-05,
|
1430 |
+
"loss": 0.793,
|
1431 |
+
"step": 237
|
1432 |
+
},
|
1433 |
+
{
|
1434 |
+
"epoch": 0.46,
|
1435 |
+
"learning_rate": 5.9295580358145744e-05,
|
1436 |
+
"loss": 0.7812,
|
1437 |
+
"step": 238
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.46,
|
1441 |
+
"learning_rate": 5.898916925395264e-05,
|
1442 |
+
"loss": 0.7969,
|
1443 |
+
"step": 239
|
1444 |
+
},
|
1445 |
+
{
|
1446 |
+
"epoch": 0.46,
|
1447 |
+
"learning_rate": 5.868240888334653e-05,
|
1448 |
+
"loss": 0.7891,
|
1449 |
+
"step": 240
|
1450 |
+
},
|
1451 |
+
{
|
1452 |
+
"epoch": 0.46,
|
1453 |
+
"learning_rate": 5.837531116523682e-05,
|
1454 |
+
"loss": 0.7695,
|
1455 |
+
"step": 241
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 0.47,
|
1459 |
+
"learning_rate": 5.806788803164034e-05,
|
1460 |
+
"loss": 0.7812,
|
1461 |
+
"step": 242
|
1462 |
+
},
|
1463 |
+
{
|
1464 |
+
"epoch": 0.47,
|
1465 |
+
"learning_rate": 5.7760151427217576e-05,
|
1466 |
+
"loss": 0.8008,
|
1467 |
+
"step": 243
|
1468 |
+
},
|
1469 |
+
{
|
1470 |
+
"epoch": 0.47,
|
1471 |
+
"learning_rate": 5.745211330880872e-05,
|
1472 |
+
"loss": 0.7969,
|
1473 |
+
"step": 244
|
1474 |
+
},
|
1475 |
+
{
|
1476 |
+
"epoch": 0.47,
|
1477 |
+
"learning_rate": 5.714378564496901e-05,
|
1478 |
+
"loss": 0.7773,
|
1479 |
+
"step": 245
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.47,
|
1483 |
+
"learning_rate": 5.683518041550368e-05,
|
1484 |
+
"loss": 0.7812,
|
1485 |
+
"step": 246
|
1486 |
+
},
|
1487 |
+
{
|
1488 |
+
"epoch": 0.47,
|
1489 |
+
"learning_rate": 5.6526309611002594e-05,
|
1490 |
+
"loss": 0.7773,
|
1491 |
+
"step": 247
|
1492 |
+
},
|
1493 |
+
{
|
1494 |
+
"epoch": 0.48,
|
1495 |
+
"learning_rate": 5.621718523237427e-05,
|
1496 |
+
"loss": 0.7969,
|
1497 |
+
"step": 248
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 0.48,
|
1501 |
+
"learning_rate": 5.590781929037965e-05,
|
1502 |
+
"loss": 0.7852,
|
1503 |
+
"step": 249
|
1504 |
+
},
|
1505 |
+
{
|
1506 |
+
"epoch": 0.48,
|
1507 |
+
"learning_rate": 5.559822380516539e-05,
|
1508 |
+
"loss": 0.8008,
|
1509 |
+
"step": 250
|
1510 |
+
},
|
1511 |
+
{
|
1512 |
+
"epoch": 0.48,
|
1513 |
+
"learning_rate": 5.5288410805796895e-05,
|
1514 |
+
"loss": 0.7852,
|
1515 |
+
"step": 251
|
1516 |
+
},
|
1517 |
+
{
|
1518 |
+
"epoch": 0.48,
|
1519 |
+
"learning_rate": 5.497839232979084e-05,
|
1520 |
+
"loss": 0.8008,
|
1521 |
+
"step": 252
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.49,
|
1525 |
+
"learning_rate": 5.466818042264753e-05,
|
1526 |
+
"loss": 0.7969,
|
1527 |
+
"step": 253
|
1528 |
+
},
|
1529 |
+
{
|
1530 |
+
"epoch": 0.49,
|
1531 |
+
"learning_rate": 5.435778713738292e-05,
|
1532 |
+
"loss": 0.793,
|
1533 |
+
"step": 254
|
1534 |
+
},
|
1535 |
+
{
|
1536 |
+
"epoch": 0.49,
|
1537 |
+
"learning_rate": 5.404722453406017e-05,
|
1538 |
+
"loss": 0.7812,
|
1539 |
+
"step": 255
|
1540 |
+
},
|
1541 |
+
{
|
1542 |
+
"epoch": 0.49,
|
1543 |
+
"learning_rate": 5.373650467932122e-05,
|
1544 |
+
"loss": 0.7773,
|
1545 |
+
"step": 256
|
1546 |
+
},
|
1547 |
+
{
|
1548 |
+
"epoch": 0.49,
|
1549 |
+
"learning_rate": 5.3425639645917834e-05,
|
1550 |
+
"loss": 0.793,
|
1551 |
+
"step": 257
|
1552 |
+
},
|
1553 |
+
{
|
1554 |
+
"epoch": 0.5,
|
1555 |
+
"learning_rate": 5.311464151224261e-05,
|
1556 |
+
"loss": 0.7734,
|
1557 |
+
"step": 258
|
1558 |
+
},
|
1559 |
+
{
|
1560 |
+
"epoch": 0.5,
|
1561 |
+
"learning_rate": 5.2803522361859594e-05,
|
1562 |
+
"loss": 0.7773,
|
1563 |
+
"step": 259
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.5,
|
1567 |
+
"learning_rate": 5.249229428303486e-05,
|
1568 |
+
"loss": 0.7773,
|
1569 |
+
"step": 260
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"epoch": 0.5,
|
1573 |
+
"learning_rate": 5.218096936826681e-05,
|
1574 |
+
"loss": 0.7812,
|
1575 |
+
"step": 261
|
1576 |
+
},
|
1577 |
+
{
|
1578 |
+
"epoch": 0.5,
|
1579 |
+
"learning_rate": 5.18695597138163e-05,
|
1580 |
+
"loss": 0.8047,
|
1581 |
+
"step": 262
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 0.51,
|
1585 |
+
"learning_rate": 5.155807741923666e-05,
|
1586 |
+
"loss": 0.7852,
|
1587 |
+
"step": 263
|
1588 |
+
},
|
1589 |
+
{
|
1590 |
+
"epoch": 0.51,
|
1591 |
+
"learning_rate": 5.124653458690365e-05,
|
1592 |
+
"loss": 0.7617,
|
1593 |
+
"step": 264
|
1594 |
+
},
|
1595 |
+
{
|
1596 |
+
"epoch": 0.51,
|
1597 |
+
"learning_rate": 5.0934943321545115e-05,
|
1598 |
+
"loss": 0.7852,
|
1599 |
+
"step": 265
|
1600 |
+
},
|
1601 |
+
{
|
1602 |
+
"epoch": 0.51,
|
1603 |
+
"learning_rate": 5.062331572977076e-05,
|
1604 |
+
"loss": 0.7852,
|
1605 |
+
"step": 266
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.51,
|
1609 |
+
"learning_rate": 5.031166391960168e-05,
|
1610 |
+
"loss": 0.7812,
|
1611 |
+
"step": 267
|
1612 |
+
},
|
1613 |
+
{
|
1614 |
+
"epoch": 0.52,
|
1615 |
+
"learning_rate": 5e-05,
|
1616 |
+
"loss": 0.8008,
|
1617 |
+
"step": 268
|
1618 |
+
},
|
1619 |
+
{
|
1620 |
+
"epoch": 0.52,
|
1621 |
+
"learning_rate": 4.968833608039832e-05,
|
1622 |
+
"loss": 0.7852,
|
1623 |
+
"step": 269
|
1624 |
+
},
|
1625 |
+
{
|
1626 |
+
"epoch": 0.52,
|
1627 |
+
"learning_rate": 4.9376684270229254e-05,
|
1628 |
+
"loss": 0.7773,
|
1629 |
+
"step": 270
|
1630 |
+
},
|
1631 |
+
{
|
1632 |
+
"epoch": 0.52,
|
1633 |
+
"learning_rate": 4.9065056678454904e-05,
|
1634 |
+
"loss": 0.7812,
|
1635 |
+
"step": 271
|
1636 |
+
},
|
1637 |
+
{
|
1638 |
+
"epoch": 0.52,
|
1639 |
+
"learning_rate": 4.875346541309637e-05,
|
1640 |
+
"loss": 0.793,
|
1641 |
+
"step": 272
|
1642 |
+
},
|
1643 |
+
{
|
1644 |
+
"epoch": 0.53,
|
1645 |
+
"learning_rate": 4.844192258076336e-05,
|
1646 |
+
"loss": 0.7812,
|
1647 |
+
"step": 273
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.53,
|
1651 |
+
"learning_rate": 4.813044028618373e-05,
|
1652 |
+
"loss": 0.8008,
|
1653 |
+
"step": 274
|
1654 |
+
},
|
1655 |
+
{
|
1656 |
+
"epoch": 0.53,
|
1657 |
+
"learning_rate": 4.781903063173321e-05,
|
1658 |
+
"loss": 0.793,
|
1659 |
+
"step": 275
|
1660 |
+
},
|
1661 |
+
{
|
1662 |
+
"epoch": 0.53,
|
1663 |
+
"learning_rate": 4.750770571696514e-05,
|
1664 |
+
"loss": 0.7852,
|
1665 |
+
"step": 276
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 0.53,
|
1669 |
+
"learning_rate": 4.7196477638140404e-05,
|
1670 |
+
"loss": 0.7617,
|
1671 |
+
"step": 277
|
1672 |
+
},
|
1673 |
+
{
|
1674 |
+
"epoch": 0.53,
|
1675 |
+
"learning_rate": 4.68853584877574e-05,
|
1676 |
+
"loss": 0.7734,
|
1677 |
+
"step": 278
|
1678 |
+
},
|
1679 |
+
{
|
1680 |
+
"epoch": 0.54,
|
1681 |
+
"learning_rate": 4.657436035408217e-05,
|
1682 |
+
"loss": 0.7734,
|
1683 |
+
"step": 279
|
1684 |
+
},
|
1685 |
+
{
|
1686 |
+
"epoch": 0.54,
|
1687 |
+
"learning_rate": 4.626349532067879e-05,
|
1688 |
+
"loss": 0.7773,
|
1689 |
+
"step": 280
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.54,
|
1693 |
+
"learning_rate": 4.595277546593984e-05,
|
1694 |
+
"loss": 0.7695,
|
1695 |
+
"step": 281
|
1696 |
+
},
|
1697 |
+
{
|
1698 |
+
"epoch": 0.54,
|
1699 |
+
"learning_rate": 4.564221286261709e-05,
|
1700 |
+
"loss": 0.7891,
|
1701 |
+
"step": 282
|
1702 |
+
},
|
1703 |
+
{
|
1704 |
+
"epoch": 0.54,
|
1705 |
+
"learning_rate": 4.5331819577352474e-05,
|
1706 |
+
"loss": 0.7734,
|
1707 |
+
"step": 283
|
1708 |
+
},
|
1709 |
+
{
|
1710 |
+
"epoch": 0.55,
|
1711 |
+
"learning_rate": 4.502160767020918e-05,
|
1712 |
+
"loss": 0.7734,
|
1713 |
+
"step": 284
|
1714 |
+
},
|
1715 |
+
{
|
1716 |
+
"epoch": 0.55,
|
1717 |
+
"learning_rate": 4.471158919420312e-05,
|
1718 |
+
"loss": 0.793,
|
1719 |
+
"step": 285
|
1720 |
+
},
|
1721 |
+
{
|
1722 |
+
"epoch": 0.55,
|
1723 |
+
"learning_rate": 4.4401776194834613e-05,
|
1724 |
+
"loss": 0.7812,
|
1725 |
+
"step": 286
|
1726 |
+
},
|
1727 |
+
{
|
1728 |
+
"epoch": 0.55,
|
1729 |
+
"learning_rate": 4.409218070962036e-05,
|
1730 |
+
"loss": 0.7891,
|
1731 |
+
"step": 287
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.55,
|
1735 |
+
"learning_rate": 4.378281476762576e-05,
|
1736 |
+
"loss": 0.7773,
|
1737 |
+
"step": 288
|
1738 |
+
},
|
1739 |
+
{
|
1740 |
+
"epoch": 0.56,
|
1741 |
+
"learning_rate": 4.347369038899744e-05,
|
1742 |
+
"loss": 0.7734,
|
1743 |
+
"step": 289
|
1744 |
+
},
|
1745 |
+
{
|
1746 |
+
"epoch": 0.56,
|
1747 |
+
"learning_rate": 4.316481958449634e-05,
|
1748 |
+
"loss": 0.7812,
|
1749 |
+
"step": 290
|
1750 |
+
},
|
1751 |
+
{
|
1752 |
+
"epoch": 0.56,
|
1753 |
+
"learning_rate": 4.285621435503101e-05,
|
1754 |
+
"loss": 0.7734,
|
1755 |
+
"step": 291
|
1756 |
+
},
|
1757 |
+
{
|
1758 |
+
"epoch": 0.56,
|
1759 |
+
"learning_rate": 4.254788669119127e-05,
|
1760 |
+
"loss": 0.7812,
|
1761 |
+
"step": 292
|
1762 |
+
},
|
1763 |
+
{
|
1764 |
+
"epoch": 0.56,
|
1765 |
+
"learning_rate": 4.223984857278242e-05,
|
1766 |
+
"loss": 0.7812,
|
1767 |
+
"step": 293
|
1768 |
+
},
|
1769 |
+
{
|
1770 |
+
"epoch": 0.57,
|
1771 |
+
"learning_rate": 4.1932111968359664e-05,
|
1772 |
+
"loss": 0.7773,
|
1773 |
+
"step": 294
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 0.57,
|
1777 |
+
"learning_rate": 4.162468883476319e-05,
|
1778 |
+
"loss": 0.7891,
|
1779 |
+
"step": 295
|
1780 |
+
},
|
1781 |
+
{
|
1782 |
+
"epoch": 0.57,
|
1783 |
+
"learning_rate": 4.131759111665349e-05,
|
1784 |
+
"loss": 0.7773,
|
1785 |
+
"step": 296
|
1786 |
+
},
|
1787 |
+
{
|
1788 |
+
"epoch": 0.57,
|
1789 |
+
"learning_rate": 4.101083074604737e-05,
|
1790 |
+
"loss": 0.7773,
|
1791 |
+
"step": 297
|
1792 |
+
},
|
1793 |
+
{
|
1794 |
+
"epoch": 0.57,
|
1795 |
+
"learning_rate": 4.0704419641854274e-05,
|
1796 |
+
"loss": 0.8008,
|
1797 |
+
"step": 298
|
1798 |
+
},
|
1799 |
+
{
|
1800 |
+
"epoch": 0.57,
|
1801 |
+
"learning_rate": 4.03983697094132e-05,
|
1802 |
+
"loss": 0.7656,
|
1803 |
+
"step": 299
|
1804 |
+
},
|
1805 |
+
{
|
1806 |
+
"epoch": 0.58,
|
1807 |
+
"learning_rate": 4.0092692840030134e-05,
|
1808 |
+
"loss": 0.7773,
|
1809 |
+
"step": 300
|
1810 |
+
},
|
1811 |
+
{
|
1812 |
+
"epoch": 0.58,
|
1813 |
+
"learning_rate": 3.978740091051599e-05,
|
1814 |
+
"loss": 0.7695,
|
1815 |
+
"step": 301
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 0.58,
|
1819 |
+
"learning_rate": 3.9482505782725224e-05,
|
1820 |
+
"loss": 0.7578,
|
1821 |
+
"step": 302
|
1822 |
+
},
|
1823 |
+
{
|
1824 |
+
"epoch": 0.58,
|
1825 |
+
"learning_rate": 3.917801930309486e-05,
|
1826 |
+
"loss": 0.7812,
|
1827 |
+
"step": 303
|
1828 |
+
},
|
1829 |
+
{
|
1830 |
+
"epoch": 0.58,
|
1831 |
+
"learning_rate": 3.887395330218429e-05,
|
1832 |
+
"loss": 0.7773,
|
1833 |
+
"step": 304
|
1834 |
+
},
|
1835 |
+
{
|
1836 |
+
"epoch": 0.59,
|
1837 |
+
"learning_rate": 3.857031959421553e-05,
|
1838 |
+
"loss": 0.7773,
|
1839 |
+
"step": 305
|
1840 |
+
},
|
1841 |
+
{
|
1842 |
+
"epoch": 0.59,
|
1843 |
+
"learning_rate": 3.8267129976614254e-05,
|
1844 |
+
"loss": 0.7734,
|
1845 |
+
"step": 306
|
1846 |
+
},
|
1847 |
+
{
|
1848 |
+
"epoch": 0.59,
|
1849 |
+
"learning_rate": 3.7964396229551364e-05,
|
1850 |
+
"loss": 0.7617,
|
1851 |
+
"step": 307
|
1852 |
+
},
|
1853 |
+
{
|
1854 |
+
"epoch": 0.59,
|
1855 |
+
"learning_rate": 3.7662130115485314e-05,
|
1856 |
+
"loss": 0.7656,
|
1857 |
+
"step": 308
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 0.59,
|
1861 |
+
"learning_rate": 3.7360343378705124e-05,
|
1862 |
+
"loss": 0.7852,
|
1863 |
+
"step": 309
|
1864 |
+
},
|
1865 |
+
{
|
1866 |
+
"epoch": 0.6,
|
1867 |
+
"learning_rate": 3.705904774487396e-05,
|
1868 |
+
"loss": 0.7812,
|
1869 |
+
"step": 310
|
1870 |
+
},
|
1871 |
+
{
|
1872 |
+
"epoch": 0.6,
|
1873 |
+
"learning_rate": 3.675825492057364e-05,
|
1874 |
+
"loss": 0.7773,
|
1875 |
+
"step": 311
|
1876 |
+
},
|
1877 |
+
{
|
1878 |
+
"epoch": 0.6,
|
1879 |
+
"learning_rate": 3.6457976592849754e-05,
|
1880 |
+
"loss": 0.7695,
|
1881 |
+
"step": 312
|
1882 |
+
},
|
1883 |
+
{
|
1884 |
+
"epoch": 0.6,
|
1885 |
+
"learning_rate": 3.6158224428757535e-05,
|
1886 |
+
"loss": 0.7578,
|
1887 |
+
"step": 313
|
1888 |
+
},
|
1889 |
+
{
|
1890 |
+
"epoch": 0.6,
|
1891 |
+
"learning_rate": 3.585901007490863e-05,
|
1892 |
+
"loss": 0.793,
|
1893 |
+
"step": 314
|
1894 |
+
},
|
1895 |
+
{
|
1896 |
+
"epoch": 0.61,
|
1897 |
+
"learning_rate": 3.556034515701852e-05,
|
1898 |
+
"loss": 0.7656,
|
1899 |
+
"step": 315
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 0.61,
|
1903 |
+
"learning_rate": 3.5262241279454785e-05,
|
1904 |
+
"loss": 0.7617,
|
1905 |
+
"step": 316
|
1906 |
+
},
|
1907 |
+
{
|
1908 |
+
"epoch": 0.61,
|
1909 |
+
"learning_rate": 3.4964710024786354e-05,
|
1910 |
+
"loss": 0.7812,
|
1911 |
+
"step": 317
|
1912 |
+
},
|
1913 |
+
{
|
1914 |
+
"epoch": 0.61,
|
1915 |
+
"learning_rate": 3.4667762953333295e-05,
|
1916 |
+
"loss": 0.7539,
|
1917 |
+
"step": 318
|
1918 |
+
},
|
1919 |
+
{
|
1920 |
+
"epoch": 0.61,
|
1921 |
+
"learning_rate": 3.4371411602717784e-05,
|
1922 |
+
"loss": 0.7812,
|
1923 |
+
"step": 319
|
1924 |
+
},
|
1925 |
+
{
|
1926 |
+
"epoch": 0.62,
|
1927 |
+
"learning_rate": 3.4075667487415785e-05,
|
1928 |
+
"loss": 0.7656,
|
1929 |
+
"step": 320
|
1930 |
+
},
|
1931 |
+
{
|
1932 |
+
"epoch": 0.62,
|
1933 |
+
"learning_rate": 3.3780542098309654e-05,
|
1934 |
+
"loss": 0.7578,
|
1935 |
+
"step": 321
|
1936 |
+
},
|
1937 |
+
{
|
1938 |
+
"epoch": 0.62,
|
1939 |
+
"learning_rate": 3.3486046902241664e-05,
|
1940 |
+
"loss": 0.7539,
|
1941 |
+
"step": 322
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 0.62,
|
1945 |
+
"learning_rate": 3.319219334156847e-05,
|
1946 |
+
"loss": 0.7656,
|
1947 |
+
"step": 323
|
1948 |
+
},
|
1949 |
+
{
|
1950 |
+
"epoch": 0.62,
|
1951 |
+
"learning_rate": 3.289899283371657e-05,
|
1952 |
+
"loss": 0.7695,
|
1953 |
+
"step": 324
|
1954 |
+
},
|
1955 |
+
{
|
1956 |
+
"epoch": 0.62,
|
1957 |
+
"learning_rate": 3.2606456770738636e-05,
|
1958 |
+
"loss": 0.7773,
|
1959 |
+
"step": 325
|
1960 |
+
},
|
1961 |
+
{
|
1962 |
+
"epoch": 0.63,
|
1963 |
+
"learning_rate": 3.231459651887093e-05,
|
1964 |
+
"loss": 0.793,
|
1965 |
+
"step": 326
|
1966 |
+
},
|
1967 |
+
{
|
1968 |
+
"epoch": 0.63,
|
1969 |
+
"learning_rate": 3.2023423418091626e-05,
|
1970 |
+
"loss": 0.7656,
|
1971 |
+
"step": 327
|
1972 |
+
},
|
1973 |
+
{
|
1974 |
+
"epoch": 0.63,
|
1975 |
+
"learning_rate": 3.173294878168025e-05,
|
1976 |
+
"loss": 0.7617,
|
1977 |
+
"step": 328
|
1978 |
+
},
|
1979 |
+
{
|
1980 |
+
"epoch": 0.63,
|
1981 |
+
"learning_rate": 3.1443183895778105e-05,
|
1982 |
+
"loss": 0.7773,
|
1983 |
+
"step": 329
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.63,
|
1987 |
+
"learning_rate": 3.115414001894974e-05,
|
1988 |
+
"loss": 0.7578,
|
1989 |
+
"step": 330
|
1990 |
+
},
|
1991 |
+
{
|
1992 |
+
"epoch": 0.64,
|
1993 |
+
"learning_rate": 3.086582838174551e-05,
|
1994 |
+
"loss": 0.7656,
|
1995 |
+
"step": 331
|
1996 |
+
},
|
1997 |
+
{
|
1998 |
+
"epoch": 0.64,
|
1999 |
+
"learning_rate": 3.0578260186265265e-05,
|
2000 |
+
"loss": 0.7539,
|
2001 |
+
"step": 332
|
2002 |
+
},
|
2003 |
+
{
|
2004 |
+
"epoch": 0.64,
|
2005 |
+
"learning_rate": 3.029144660572304e-05,
|
2006 |
+
"loss": 0.7656,
|
2007 |
+
"step": 333
|
2008 |
+
},
|
2009 |
+
{
|
2010 |
+
"epoch": 0.64,
|
2011 |
+
"learning_rate": 3.000539878401296e-05,
|
2012 |
+
"loss": 0.7734,
|
2013 |
+
"step": 334
|
2014 |
+
},
|
2015 |
+
{
|
2016 |
+
"epoch": 0.64,
|
2017 |
+
"learning_rate": 2.9720127835276256e-05,
|
2018 |
+
"loss": 0.7617,
|
2019 |
+
"step": 335
|
2020 |
+
},
|
2021 |
+
{
|
2022 |
+
"epoch": 0.65,
|
2023 |
+
"learning_rate": 2.9435644843469436e-05,
|
2024 |
+
"loss": 0.7734,
|
2025 |
+
"step": 336
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 0.65,
|
2029 |
+
"learning_rate": 2.9151960861933614e-05,
|
2030 |
+
"loss": 0.7539,
|
2031 |
+
"step": 337
|
2032 |
+
},
|
2033 |
+
{
|
2034 |
+
"epoch": 0.65,
|
2035 |
+
"learning_rate": 2.886908691296504e-05,
|
2036 |
+
"loss": 0.7852,
|
2037 |
+
"step": 338
|
2038 |
+
},
|
2039 |
+
{
|
2040 |
+
"epoch": 0.65,
|
2041 |
+
"learning_rate": 2.858703398738686e-05,
|
2042 |
+
"loss": 0.7852,
|
2043 |
+
"step": 339
|
2044 |
+
},
|
2045 |
+
{
|
2046 |
+
"epoch": 0.65,
|
2047 |
+
"learning_rate": 2.8305813044122097e-05,
|
2048 |
+
"loss": 0.7656,
|
2049 |
+
"step": 340
|
2050 |
+
},
|
2051 |
+
{
|
2052 |
+
"epoch": 0.66,
|
2053 |
+
"learning_rate": 2.8025435009767747e-05,
|
2054 |
+
"loss": 0.7656,
|
2055 |
+
"step": 341
|
2056 |
+
},
|
2057 |
+
{
|
2058 |
+
"epoch": 0.66,
|
2059 |
+
"learning_rate": 2.774591077817038e-05,
|
2060 |
+
"loss": 0.7656,
|
2061 |
+
"step": 342
|
2062 |
+
},
|
2063 |
+
{
|
2064 |
+
"epoch": 0.66,
|
2065 |
+
"learning_rate": 2.746725121000273e-05,
|
2066 |
+
"loss": 0.7656,
|
2067 |
+
"step": 343
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 0.66,
|
2071 |
+
"learning_rate": 2.718946713234185e-05,
|
2072 |
+
"loss": 0.7617,
|
2073 |
+
"step": 344
|
2074 |
+
},
|
2075 |
+
{
|
2076 |
+
"epoch": 0.66,
|
2077 |
+
"learning_rate": 2.6912569338248315e-05,
|
2078 |
+
"loss": 0.7656,
|
2079 |
+
"step": 345
|
2080 |
+
},
|
2081 |
+
{
|
2082 |
+
"epoch": 0.67,
|
2083 |
+
"learning_rate": 2.66365685863469e-05,
|
2084 |
+
"loss": 0.7578,
|
2085 |
+
"step": 346
|
2086 |
+
},
|
2087 |
+
{
|
2088 |
+
"epoch": 0.67,
|
2089 |
+
"learning_rate": 2.636147560040866e-05,
|
2090 |
+
"loss": 0.7695,
|
2091 |
+
"step": 347
|
2092 |
+
},
|
2093 |
+
{
|
2094 |
+
"epoch": 0.67,
|
2095 |
+
"learning_rate": 2.6087301068934106e-05,
|
2096 |
+
"loss": 0.7617,
|
2097 |
+
"step": 348
|
2098 |
+
},
|
2099 |
+
{
|
2100 |
+
"epoch": 0.67,
|
2101 |
+
"learning_rate": 2.581405564473801e-05,
|
2102 |
+
"loss": 0.7695,
|
2103 |
+
"step": 349
|
2104 |
+
},
|
2105 |
+
{
|
2106 |
+
"epoch": 0.67,
|
2107 |
+
"learning_rate": 2.5541749944535554e-05,
|
2108 |
+
"loss": 0.7617,
|
2109 |
+
"step": 350
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 0.68,
|
2113 |
+
"learning_rate": 2.527039454852963e-05,
|
2114 |
+
"loss": 0.7812,
|
2115 |
+
"step": 351
|
2116 |
+
},
|
2117 |
+
{
|
2118 |
+
"epoch": 0.68,
|
2119 |
+
"learning_rate": 2.500000000000001e-05,
|
2120 |
+
"loss": 0.7578,
|
2121 |
+
"step": 352
|
2122 |
+
},
|
2123 |
+
{
|
2124 |
+
"epoch": 0.68,
|
2125 |
+
"learning_rate": 2.473057680489348e-05,
|
2126 |
+
"loss": 0.7617,
|
2127 |
+
"step": 353
|
2128 |
+
},
|
2129 |
+
{
|
2130 |
+
"epoch": 0.68,
|
2131 |
+
"learning_rate": 2.4462135431415733e-05,
|
2132 |
+
"loss": 0.7656,
|
2133 |
+
"step": 354
|
2134 |
+
},
|
2135 |
+
{
|
2136 |
+
"epoch": 0.68,
|
2137 |
+
"learning_rate": 2.4194686309624663e-05,
|
2138 |
+
"loss": 0.75,
|
2139 |
+
"step": 355
|
2140 |
+
},
|
2141 |
+
{
|
2142 |
+
"epoch": 0.68,
|
2143 |
+
"learning_rate": 2.39282398310251e-05,
|
2144 |
+
"loss": 0.7617,
|
2145 |
+
"step": 356
|
2146 |
+
},
|
2147 |
+
{
|
2148 |
+
"epoch": 0.69,
|
2149 |
+
"learning_rate": 2.366280634816496e-05,
|
2150 |
+
"loss": 0.7656,
|
2151 |
+
"step": 357
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 0.69,
|
2155 |
+
"learning_rate": 2.3398396174233178e-05,
|
2156 |
+
"loss": 0.7695,
|
2157 |
+
"step": 358
|
2158 |
+
},
|
2159 |
+
{
|
2160 |
+
"epoch": 0.69,
|
2161 |
+
"learning_rate": 2.3135019582658802e-05,
|
2162 |
+
"loss": 0.7422,
|
2163 |
+
"step": 359
|
2164 |
+
},
|
2165 |
+
{
|
2166 |
+
"epoch": 0.69,
|
2167 |
+
"learning_rate": 2.2872686806712035e-05,
|
2168 |
+
"loss": 0.7695,
|
2169 |
+
"step": 360
|
2170 |
+
},
|
2171 |
+
{
|
2172 |
+
"epoch": 0.69,
|
2173 |
+
"learning_rate": 2.261140803910644e-05,
|
2174 |
+
"loss": 0.7695,
|
2175 |
+
"step": 361
|
2176 |
+
},
|
2177 |
+
{
|
2178 |
+
"epoch": 0.7,
|
2179 |
+
"learning_rate": 2.235119343160303e-05,
|
2180 |
+
"loss": 0.7539,
|
2181 |
+
"step": 362
|
2182 |
+
},
|
2183 |
+
{
|
2184 |
+
"epoch": 0.7,
|
2185 |
+
"learning_rate": 2.2092053094615813e-05,
|
2186 |
+
"loss": 0.7695,
|
2187 |
+
"step": 363
|
2188 |
+
},
|
2189 |
+
{
|
2190 |
+
"epoch": 0.7,
|
2191 |
+
"learning_rate": 2.1833997096818898e-05,
|
2192 |
+
"loss": 0.7773,
|
2193 |
+
"step": 364
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 0.7,
|
2197 |
+
"learning_rate": 2.157703546475539e-05,
|
2198 |
+
"loss": 0.7461,
|
2199 |
+
"step": 365
|
2200 |
+
},
|
2201 |
+
{
|
2202 |
+
"epoch": 0.7,
|
2203 |
+
"learning_rate": 2.132117818244771e-05,
|
2204 |
+
"loss": 0.75,
|
2205 |
+
"step": 366
|
2206 |
+
},
|
2207 |
+
{
|
2208 |
+
"epoch": 0.71,
|
2209 |
+
"learning_rate": 2.1066435191009715e-05,
|
2210 |
+
"loss": 0.7422,
|
2211 |
+
"step": 367
|
2212 |
+
},
|
2213 |
+
{
|
2214 |
+
"epoch": 0.71,
|
2215 |
+
"learning_rate": 2.0812816388260518e-05,
|
2216 |
+
"loss": 0.7617,
|
2217 |
+
"step": 368
|
2218 |
+
},
|
2219 |
+
{
|
2220 |
+
"epoch": 0.71,
|
2221 |
+
"learning_rate": 2.056033162833977e-05,
|
2222 |
+
"loss": 0.7695,
|
2223 |
+
"step": 369
|
2224 |
+
},
|
2225 |
+
{
|
2226 |
+
"epoch": 0.71,
|
2227 |
+
"learning_rate": 2.0308990721324927e-05,
|
2228 |
+
"loss": 0.7617,
|
2229 |
+
"step": 370
|
2230 |
+
},
|
2231 |
+
{
|
2232 |
+
"epoch": 0.71,
|
2233 |
+
"learning_rate": 2.0058803432849987e-05,
|
2234 |
+
"loss": 0.7656,
|
2235 |
+
"step": 371
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 0.72,
|
2239 |
+
"learning_rate": 1.980977948372612e-05,
|
2240 |
+
"loss": 0.7461,
|
2241 |
+
"step": 372
|
2242 |
+
},
|
2243 |
+
{
|
2244 |
+
"epoch": 0.72,
|
2245 |
+
"learning_rate": 1.9561928549563968e-05,
|
2246 |
+
"loss": 0.7461,
|
2247 |
+
"step": 373
|
2248 |
+
},
|
2249 |
+
{
|
2250 |
+
"epoch": 0.72,
|
2251 |
+
"learning_rate": 1.931526026039764e-05,
|
2252 |
+
"loss": 0.7461,
|
2253 |
+
"step": 374
|
2254 |
+
},
|
2255 |
+
{
|
2256 |
+
"epoch": 0.72,
|
2257 |
+
"learning_rate": 1.906978420031059e-05,
|
2258 |
+
"loss": 0.7422,
|
2259 |
+
"step": 375
|
2260 |
+
},
|
2261 |
+
{
|
2262 |
+
"epoch": 0.72,
|
2263 |
+
"learning_rate": 1.8825509907063327e-05,
|
2264 |
+
"loss": 0.75,
|
2265 |
+
"step": 376
|
2266 |
+
},
|
2267 |
+
{
|
2268 |
+
"epoch": 0.72,
|
2269 |
+
"learning_rate": 1.8582446871722636e-05,
|
2270 |
+
"loss": 0.7344,
|
2271 |
+
"step": 377
|
2272 |
+
},
|
2273 |
+
{
|
2274 |
+
"epoch": 0.73,
|
2275 |
+
"learning_rate": 1.8340604538293015e-05,
|
2276 |
+
"loss": 0.7461,
|
2277 |
+
"step": 378
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 0.73,
|
2281 |
+
"learning_rate": 1.8099992303349577e-05,
|
2282 |
+
"loss": 0.7422,
|
2283 |
+
"step": 379
|
2284 |
+
},
|
2285 |
+
{
|
2286 |
+
"epoch": 0.73,
|
2287 |
+
"learning_rate": 1.7860619515673033e-05,
|
2288 |
+
"loss": 0.7617,
|
2289 |
+
"step": 380
|
2290 |
+
},
|
2291 |
+
{
|
2292 |
+
"epoch": 0.73,
|
2293 |
+
"learning_rate": 1.7622495475886487e-05,
|
2294 |
+
"loss": 0.7539,
|
2295 |
+
"step": 381
|
2296 |
+
},
|
2297 |
+
{
|
2298 |
+
"epoch": 0.73,
|
2299 |
+
"learning_rate": 1.738562943609396e-05,
|
2300 |
+
"loss": 0.7539,
|
2301 |
+
"step": 382
|
2302 |
+
},
|
2303 |
+
{
|
2304 |
+
"epoch": 0.74,
|
2305 |
+
"learning_rate": 1.7150030599520984e-05,
|
2306 |
+
"loss": 0.7617,
|
2307 |
+
"step": 383
|
2308 |
+
},
|
2309 |
+
{
|
2310 |
+
"epoch": 0.74,
|
2311 |
+
"learning_rate": 1.691570812015704e-05,
|
2312 |
+
"loss": 0.7422,
|
2313 |
+
"step": 384
|
2314 |
+
},
|
2315 |
+
{
|
2316 |
+
"epoch": 0.74,
|
2317 |
+
"learning_rate": 1.6682671102399805e-05,
|
2318 |
+
"loss": 0.75,
|
2319 |
+
"step": 385
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 0.74,
|
2323 |
+
"learning_rate": 1.6450928600701504e-05,
|
2324 |
+
"loss": 0.75,
|
2325 |
+
"step": 386
|
2326 |
+
},
|
2327 |
+
{
|
2328 |
+
"epoch": 0.74,
|
2329 |
+
"learning_rate": 1.622048961921699e-05,
|
2330 |
+
"loss": 0.7617,
|
2331 |
+
"step": 387
|
2332 |
+
},
|
2333 |
+
{
|
2334 |
+
"epoch": 0.75,
|
2335 |
+
"learning_rate": 1.599136311145402e-05,
|
2336 |
+
"loss": 0.7695,
|
2337 |
+
"step": 388
|
2338 |
+
},
|
2339 |
+
{
|
2340 |
+
"epoch": 0.75,
|
2341 |
+
"learning_rate": 1.5763557979925324e-05,
|
2342 |
+
"loss": 0.7461,
|
2343 |
+
"step": 389
|
2344 |
+
},
|
2345 |
+
{
|
2346 |
+
"epoch": 0.75,
|
2347 |
+
"learning_rate": 1.553708307580265e-05,
|
2348 |
+
"loss": 0.7617,
|
2349 |
+
"step": 390
|
2350 |
+
},
|
2351 |
+
{
|
2352 |
+
"epoch": 0.75,
|
2353 |
+
"learning_rate": 1.531194719857292e-05,
|
2354 |
+
"loss": 0.793,
|
2355 |
+
"step": 391
|
2356 |
+
},
|
2357 |
+
{
|
2358 |
+
"epoch": 0.75,
|
2359 |
+
"learning_rate": 1.5088159095696363e-05,
|
2360 |
+
"loss": 0.7539,
|
2361 |
+
"step": 392
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 0.76,
|
2365 |
+
"learning_rate": 1.4865727462266543e-05,
|
2366 |
+
"loss": 0.7734,
|
2367 |
+
"step": 393
|
2368 |
+
},
|
2369 |
+
{
|
2370 |
+
"epoch": 0.76,
|
2371 |
+
"learning_rate": 1.4644660940672627e-05,
|
2372 |
+
"loss": 0.7734,
|
2373 |
+
"step": 394
|
2374 |
+
},
|
2375 |
+
{
|
2376 |
+
"epoch": 0.76,
|
2377 |
+
"learning_rate": 1.4424968120263504e-05,
|
2378 |
+
"loss": 0.7461,
|
2379 |
+
"step": 395
|
2380 |
+
},
|
2381 |
+
{
|
2382 |
+
"epoch": 0.76,
|
2383 |
+
"learning_rate": 1.4206657537014079e-05,
|
2384 |
+
"loss": 0.7578,
|
2385 |
+
"step": 396
|
2386 |
+
},
|
2387 |
+
{
|
2388 |
+
"epoch": 0.76,
|
2389 |
+
"learning_rate": 1.398973767319368e-05,
|
2390 |
+
"loss": 0.7578,
|
2391 |
+
"step": 397
|
2392 |
+
},
|
2393 |
+
{
|
2394 |
+
"epoch": 0.77,
|
2395 |
+
"learning_rate": 1.3774216957036367e-05,
|
2396 |
+
"loss": 0.7539,
|
2397 |
+
"step": 398
|
2398 |
+
},
|
2399 |
+
{
|
2400 |
+
"epoch": 0.77,
|
2401 |
+
"learning_rate": 1.3560103762413584e-05,
|
2402 |
+
"loss": 0.7539,
|
2403 |
+
"step": 399
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 0.77,
|
2407 |
+
"learning_rate": 1.3347406408508695e-05,
|
2408 |
+
"loss": 0.7539,
|
2409 |
+
"step": 400
|
2410 |
+
},
|
2411 |
+
{
|
2412 |
+
"epoch": 0.77,
|
2413 |
+
"learning_rate": 1.3136133159493802e-05,
|
2414 |
+
"loss": 0.7617,
|
2415 |
+
"step": 401
|
2416 |
+
},
|
2417 |
+
{
|
2418 |
+
"epoch": 0.77,
|
2419 |
+
"learning_rate": 1.2926292224208664e-05,
|
2420 |
+
"loss": 0.7422,
|
2421 |
+
"step": 402
|
2422 |
+
},
|
2423 |
+
{
|
2424 |
+
"epoch": 0.78,
|
2425 |
+
"learning_rate": 1.2717891755841722e-05,
|
2426 |
+
"loss": 0.7734,
|
2427 |
+
"step": 403
|
2428 |
+
},
|
2429 |
+
{
|
2430 |
+
"epoch": 0.78,
|
2431 |
+
"learning_rate": 1.2510939851613285e-05,
|
2432 |
+
"loss": 0.7734,
|
2433 |
+
"step": 404
|
2434 |
+
},
|
2435 |
+
{
|
2436 |
+
"epoch": 0.78,
|
2437 |
+
"learning_rate": 1.230544455246101e-05,
|
2438 |
+
"loss": 0.75,
|
2439 |
+
"step": 405
|
2440 |
+
},
|
2441 |
+
{
|
2442 |
+
"epoch": 0.78,
|
2443 |
+
"learning_rate": 1.2101413842727345e-05,
|
2444 |
+
"loss": 0.7461,
|
2445 |
+
"step": 406
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 0.78,
|
2449 |
+
"learning_rate": 1.1898855649849461e-05,
|
2450 |
+
"loss": 0.7539,
|
2451 |
+
"step": 407
|
2452 |
+
},
|
2453 |
+
{
|
2454 |
+
"epoch": 0.78,
|
2455 |
+
"learning_rate": 1.1697777844051105e-05,
|
2456 |
+
"loss": 0.7305,
|
2457 |
+
"step": 408
|
2458 |
+
},
|
2459 |
+
{
|
2460 |
+
"epoch": 0.79,
|
2461 |
+
"learning_rate": 1.1498188238036861e-05,
|
2462 |
+
"loss": 0.7422,
|
2463 |
+
"step": 409
|
2464 |
+
},
|
2465 |
+
{
|
2466 |
+
"epoch": 0.79,
|
2467 |
+
"learning_rate": 1.130009458668863e-05,
|
2468 |
+
"loss": 0.75,
|
2469 |
+
"step": 410
|
2470 |
+
},
|
2471 |
+
{
|
2472 |
+
"epoch": 0.79,
|
2473 |
+
"learning_rate": 1.1103504586764263e-05,
|
2474 |
+
"loss": 0.7539,
|
2475 |
+
"step": 411
|
2476 |
+
},
|
2477 |
+
{
|
2478 |
+
"epoch": 0.79,
|
2479 |
+
"learning_rate": 1.090842587659851e-05,
|
2480 |
+
"loss": 0.7617,
|
2481 |
+
"step": 412
|
2482 |
+
},
|
2483 |
+
{
|
2484 |
+
"epoch": 0.79,
|
2485 |
+
"learning_rate": 1.0714866035806326e-05,
|
2486 |
+
"loss": 0.7422,
|
2487 |
+
"step": 413
|
2488 |
+
},
|
2489 |
+
{
|
2490 |
+
"epoch": 0.8,
|
2491 |
+
"learning_rate": 1.0522832584988234e-05,
|
2492 |
+
"loss": 0.7617,
|
2493 |
+
"step": 414
|
2494 |
+
},
|
2495 |
+
{
|
2496 |
+
"epoch": 0.8,
|
2497 |
+
"learning_rate": 1.0332332985438248e-05,
|
2498 |
+
"loss": 0.7656,
|
2499 |
+
"step": 415
|
2500 |
+
},
|
2501 |
+
{
|
2502 |
+
"epoch": 0.8,
|
2503 |
+
"learning_rate": 1.0143374638853891e-05,
|
2504 |
+
"loss": 0.7656,
|
2505 |
+
"step": 416
|
2506 |
+
},
|
2507 |
+
{
|
2508 |
+
"epoch": 0.8,
|
2509 |
+
"learning_rate": 9.955964887048607e-06,
|
2510 |
+
"loss": 0.7656,
|
2511 |
+
"step": 417
|
2512 |
+
},
|
2513 |
+
{
|
2514 |
+
"epoch": 0.8,
|
2515 |
+
"learning_rate": 9.770111011666583e-06,
|
2516 |
+
"loss": 0.7617,
|
2517 |
+
"step": 418
|
2518 |
+
},
|
2519 |
+
{
|
2520 |
+
"epoch": 0.81,
|
2521 |
+
"learning_rate": 9.58582023389974e-06,
|
2522 |
+
"loss": 0.7461,
|
2523 |
+
"step": 419
|
2524 |
+
},
|
2525 |
+
{
|
2526 |
+
"epoch": 0.81,
|
2527 |
+
"learning_rate": 9.403099714207175e-06,
|
2528 |
+
"loss": 0.7539,
|
2529 |
+
"step": 420
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 0.81,
|
2533 |
+
"learning_rate": 9.221956552036992e-06,
|
2534 |
+
"loss": 0.7422,
|
2535 |
+
"step": 421
|
2536 |
+
},
|
2537 |
+
{
|
2538 |
+
"epoch": 0.81,
|
2539 |
+
"learning_rate": 9.042397785550405e-06,
|
2540 |
+
"loss": 0.7461,
|
2541 |
+
"step": 422
|
2542 |
+
},
|
2543 |
+
{
|
2544 |
+
"epoch": 0.81,
|
2545 |
+
"learning_rate": 8.864430391348332e-06,
|
2546 |
+
"loss": 0.7578,
|
2547 |
+
"step": 423
|
2548 |
+
},
|
2549 |
+
{
|
2550 |
+
"epoch": 0.82,
|
2551 |
+
"learning_rate": 8.688061284200266e-06,
|
2552 |
+
"loss": 0.7383,
|
2553 |
+
"step": 424
|
2554 |
+
},
|
2555 |
+
{
|
2556 |
+
"epoch": 0.82,
|
2557 |
+
"learning_rate": 8.513297316775625e-06,
|
2558 |
+
"loss": 0.7539,
|
2559 |
+
"step": 425
|
2560 |
+
},
|
2561 |
+
{
|
2562 |
+
"epoch": 0.82,
|
2563 |
+
"learning_rate": 8.34014527937756e-06,
|
2564 |
+
"loss": 0.75,
|
2565 |
+
"step": 426
|
2566 |
+
},
|
2567 |
+
{
|
2568 |
+
"epoch": 0.82,
|
2569 |
+
"learning_rate": 8.168611899679013e-06,
|
2570 |
+
"loss": 0.7383,
|
2571 |
+
"step": 427
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 0.82,
|
2575 |
+
"learning_rate": 7.998703842461431e-06,
|
2576 |
+
"loss": 0.7695,
|
2577 |
+
"step": 428
|
2578 |
+
},
|
2579 |
+
{
|
2580 |
+
"epoch": 0.82,
|
2581 |
+
"learning_rate": 7.830427709355725e-06,
|
2582 |
+
"loss": 0.7383,
|
2583 |
+
"step": 429
|
2584 |
+
},
|
2585 |
+
{
|
2586 |
+
"epoch": 0.83,
|
2587 |
+
"learning_rate": 7.663790038585793e-06,
|
2588 |
+
"loss": 0.7578,
|
2589 |
+
"step": 430
|
2590 |
+
},
|
2591 |
+
{
|
2592 |
+
"epoch": 0.83,
|
2593 |
+
"learning_rate": 7.498797304714544e-06,
|
2594 |
+
"loss": 0.7539,
|
2595 |
+
"step": 431
|
2596 |
+
},
|
2597 |
+
{
|
2598 |
+
"epoch": 0.83,
|
2599 |
+
"learning_rate": 7.33545591839222e-06,
|
2600 |
+
"loss": 0.7227,
|
2601 |
+
"step": 432
|
2602 |
+
},
|
2603 |
+
{
|
2604 |
+
"epoch": 0.83,
|
2605 |
+
"learning_rate": 7.173772226107434e-06,
|
2606 |
+
"loss": 0.75,
|
2607 |
+
"step": 433
|
2608 |
+
},
|
2609 |
+
{
|
2610 |
+
"epoch": 0.83,
|
2611 |
+
"learning_rate": 7.013752509940485e-06,
|
2612 |
+
"loss": 0.7617,
|
2613 |
+
"step": 434
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 0.84,
|
2617 |
+
"learning_rate": 6.855402987319348e-06,
|
2618 |
+
"loss": 0.7344,
|
2619 |
+
"step": 435
|
2620 |
+
},
|
2621 |
+
{
|
2622 |
+
"epoch": 0.84,
|
2623 |
+
"learning_rate": 6.698729810778065e-06,
|
2624 |
+
"loss": 0.7539,
|
2625 |
+
"step": 436
|
2626 |
+
},
|
2627 |
+
{
|
2628 |
+
"epoch": 0.84,
|
2629 |
+
"learning_rate": 6.54373906771768e-06,
|
2630 |
+
"loss": 0.7656,
|
2631 |
+
"step": 437
|
2632 |
+
},
|
2633 |
+
{
|
2634 |
+
"epoch": 0.84,
|
2635 |
+
"learning_rate": 6.390436780169734e-06,
|
2636 |
+
"loss": 0.7344,
|
2637 |
+
"step": 438
|
2638 |
+
},
|
2639 |
+
{
|
2640 |
+
"epoch": 0.84,
|
2641 |
+
"learning_rate": 6.238828904562316e-06,
|
2642 |
+
"loss": 0.7305,
|
2643 |
+
"step": 439
|
2644 |
+
},
|
2645 |
+
{
|
2646 |
+
"epoch": 0.85,
|
2647 |
+
"learning_rate": 6.088921331488568e-06,
|
2648 |
+
"loss": 0.7617,
|
2649 |
+
"step": 440
|
2650 |
+
},
|
2651 |
+
{
|
2652 |
+
"epoch": 0.85,
|
2653 |
+
"learning_rate": 5.94071988547788e-06,
|
2654 |
+
"loss": 0.7422,
|
2655 |
+
"step": 441
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 0.85,
|
2659 |
+
"learning_rate": 5.794230324769517e-06,
|
2660 |
+
"loss": 0.7383,
|
2661 |
+
"step": 442
|
2662 |
+
},
|
2663 |
+
{
|
2664 |
+
"epoch": 0.85,
|
2665 |
+
"learning_rate": 5.649458341088915e-06,
|
2666 |
+
"loss": 0.7617,
|
2667 |
+
"step": 443
|
2668 |
+
},
|
2669 |
+
{
|
2670 |
+
"epoch": 0.85,
|
2671 |
+
"learning_rate": 5.506409559426573e-06,
|
2672 |
+
"loss": 0.7461,
|
2673 |
+
"step": 444
|
2674 |
+
},
|
2675 |
+
{
|
2676 |
+
"epoch": 0.86,
|
2677 |
+
"learning_rate": 5.365089537819434e-06,
|
2678 |
+
"loss": 0.75,
|
2679 |
+
"step": 445
|
2680 |
+
},
|
2681 |
+
{
|
2682 |
+
"epoch": 0.86,
|
2683 |
+
"learning_rate": 5.2255037671349535e-06,
|
2684 |
+
"loss": 0.7266,
|
2685 |
+
"step": 446
|
2686 |
+
},
|
2687 |
+
{
|
2688 |
+
"epoch": 0.86,
|
2689 |
+
"learning_rate": 5.087657670857798e-06,
|
2690 |
+
"loss": 0.7578,
|
2691 |
+
"step": 447
|
2692 |
+
},
|
2693 |
+
{
|
2694 |
+
"epoch": 0.86,
|
2695 |
+
"learning_rate": 4.951556604879048e-06,
|
2696 |
+
"loss": 0.75,
|
2697 |
+
"step": 448
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 0.86,
|
2701 |
+
"learning_rate": 4.8172058572881765e-06,
|
2702 |
+
"loss": 0.7461,
|
2703 |
+
"step": 449
|
2704 |
+
},
|
2705 |
+
{
|
2706 |
+
"epoch": 0.87,
|
2707 |
+
"learning_rate": 4.684610648167503e-06,
|
2708 |
+
"loss": 0.7578,
|
2709 |
+
"step": 450
|
2710 |
+
},
|
2711 |
+
{
|
2712 |
+
"epoch": 0.87,
|
2713 |
+
"learning_rate": 4.5537761293894535e-06,
|
2714 |
+
"loss": 0.7578,
|
2715 |
+
"step": 451
|
2716 |
+
},
|
2717 |
+
{
|
2718 |
+
"epoch": 0.87,
|
2719 |
+
"learning_rate": 4.424707384416344e-06,
|
2720 |
+
"loss": 0.7383,
|
2721 |
+
"step": 452
|
2722 |
+
},
|
2723 |
+
{
|
2724 |
+
"epoch": 0.87,
|
2725 |
+
"learning_rate": 4.29740942810285e-06,
|
2726 |
+
"loss": 0.7383,
|
2727 |
+
"step": 453
|
2728 |
+
},
|
2729 |
+
{
|
2730 |
+
"epoch": 0.87,
|
2731 |
+
"learning_rate": 4.1718872065011904e-06,
|
2732 |
+
"loss": 0.7422,
|
2733 |
+
"step": 454
|
2734 |
+
},
|
2735 |
+
{
|
2736 |
+
"epoch": 0.88,
|
2737 |
+
"learning_rate": 4.048145596668967e-06,
|
2738 |
+
"loss": 0.7305,
|
2739 |
+
"step": 455
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"epoch": 0.88,
|
2743 |
+
"learning_rate": 3.9261894064796135e-06,
|
2744 |
+
"loss": 0.7617,
|
2745 |
+
"step": 456
|
2746 |
+
},
|
2747 |
+
{
|
2748 |
+
"epoch": 0.88,
|
2749 |
+
"learning_rate": 3.8060233744356633e-06,
|
2750 |
+
"loss": 0.7695,
|
2751 |
+
"step": 457
|
2752 |
+
},
|
2753 |
+
{
|
2754 |
+
"epoch": 0.88,
|
2755 |
+
"learning_rate": 3.687652169484568e-06,
|
2756 |
+
"loss": 0.7383,
|
2757 |
+
"step": 458
|
2758 |
+
},
|
2759 |
+
{
|
2760 |
+
"epoch": 0.88,
|
2761 |
+
"learning_rate": 3.5710803908373224e-06,
|
2762 |
+
"loss": 0.75,
|
2763 |
+
"step": 459
|
2764 |
+
},
|
2765 |
+
{
|
2766 |
+
"epoch": 0.88,
|
2767 |
+
"learning_rate": 3.4563125677897932e-06,
|
2768 |
+
"loss": 0.7578,
|
2769 |
+
"step": 460
|
2770 |
+
},
|
2771 |
+
{
|
2772 |
+
"epoch": 0.89,
|
2773 |
+
"learning_rate": 3.343353159546675e-06,
|
2774 |
+
"loss": 0.7383,
|
2775 |
+
"step": 461
|
2776 |
+
},
|
2777 |
+
{
|
2778 |
+
"epoch": 0.89,
|
2779 |
+
"learning_rate": 3.2322065550483007e-06,
|
2780 |
+
"loss": 0.7461,
|
2781 |
+
"step": 462
|
2782 |
+
},
|
2783 |
+
{
|
2784 |
+
"epoch": 0.89,
|
2785 |
+
"learning_rate": 3.1228770728000455e-06,
|
2786 |
+
"loss": 0.7461,
|
2787 |
+
"step": 463
|
2788 |
+
},
|
2789 |
+
{
|
2790 |
+
"epoch": 0.89,
|
2791 |
+
"learning_rate": 3.0153689607045845e-06,
|
2792 |
+
"loss": 0.7539,
|
2793 |
+
"step": 464
|
2794 |
+
},
|
2795 |
+
{
|
2796 |
+
"epoch": 0.89,
|
2797 |
+
"learning_rate": 2.9096863958968268e-06,
|
2798 |
+
"loss": 0.7422,
|
2799 |
+
"step": 465
|
2800 |
+
},
|
2801 |
+
{
|
2802 |
+
"epoch": 0.9,
|
2803 |
+
"learning_rate": 2.8058334845816213e-06,
|
2804 |
+
"loss": 0.7461,
|
2805 |
+
"step": 466
|
2806 |
+
},
|
2807 |
+
{
|
2808 |
+
"epoch": 0.9,
|
2809 |
+
"learning_rate": 2.7038142618741992e-06,
|
2810 |
+
"loss": 0.7617,
|
2811 |
+
"step": 467
|
2812 |
+
},
|
2813 |
+
{
|
2814 |
+
"epoch": 0.9,
|
2815 |
+
"learning_rate": 2.603632691643415e-06,
|
2816 |
+
"loss": 0.7422,
|
2817 |
+
"step": 468
|
2818 |
+
},
|
2819 |
+
{
|
2820 |
+
"epoch": 0.9,
|
2821 |
+
"learning_rate": 2.5052926663577e-06,
|
2822 |
+
"loss": 0.7656,
|
2823 |
+
"step": 469
|
2824 |
+
},
|
2825 |
+
{
|
2826 |
+
"epoch": 0.9,
|
2827 |
+
"learning_rate": 2.408798006933882e-06,
|
2828 |
+
"loss": 0.7461,
|
2829 |
+
"step": 470
|
2830 |
+
},
|
2831 |
+
{
|
2832 |
+
"epoch": 0.91,
|
2833 |
+
"learning_rate": 2.314152462588659e-06,
|
2834 |
+
"loss": 0.7422,
|
2835 |
+
"step": 471
|
2836 |
+
},
|
2837 |
+
{
|
2838 |
+
"epoch": 0.91,
|
2839 |
+
"learning_rate": 2.221359710692961e-06,
|
2840 |
+
"loss": 0.75,
|
2841 |
+
"step": 472
|
2842 |
+
},
|
2843 |
+
{
|
2844 |
+
"epoch": 0.91,
|
2845 |
+
"learning_rate": 2.1304233566290964e-06,
|
2846 |
+
"loss": 0.7578,
|
2847 |
+
"step": 473
|
2848 |
+
},
|
2849 |
+
{
|
2850 |
+
"epoch": 0.91,
|
2851 |
+
"learning_rate": 2.041346933650612e-06,
|
2852 |
+
"loss": 0.7539,
|
2853 |
+
"step": 474
|
2854 |
+
},
|
2855 |
+
{
|
2856 |
+
"epoch": 0.91,
|
2857 |
+
"learning_rate": 1.9541339027450256e-06,
|
2858 |
+
"loss": 0.75,
|
2859 |
+
"step": 475
|
2860 |
+
},
|
2861 |
+
{
|
2862 |
+
"epoch": 0.92,
|
2863 |
+
"learning_rate": 1.8687876524993987e-06,
|
2864 |
+
"loss": 0.7656,
|
2865 |
+
"step": 476
|
2866 |
+
},
|
2867 |
+
{
|
2868 |
+
"epoch": 0.92,
|
2869 |
+
"learning_rate": 1.785311498968617e-06,
|
2870 |
+
"loss": 0.7578,
|
2871 |
+
"step": 477
|
2872 |
+
},
|
2873 |
+
{
|
2874 |
+
"epoch": 0.92,
|
2875 |
+
"learning_rate": 1.70370868554659e-06,
|
2876 |
+
"loss": 0.7305,
|
2877 |
+
"step": 478
|
2878 |
+
},
|
2879 |
+
{
|
2880 |
+
"epoch": 0.92,
|
2881 |
+
"learning_rate": 1.6239823828401945e-06,
|
2882 |
+
"loss": 0.7266,
|
2883 |
+
"step": 479
|
2884 |
+
},
|
2885 |
+
{
|
2886 |
+
"epoch": 0.92,
|
2887 |
+
"learning_rate": 1.5461356885461075e-06,
|
2888 |
+
"loss": 0.7617,
|
2889 |
+
"step": 480
|
2890 |
+
},
|
2891 |
+
{
|
2892 |
+
"epoch": 0.93,
|
2893 |
+
"learning_rate": 1.4701716273304521e-06,
|
2894 |
+
"loss": 0.7383,
|
2895 |
+
"step": 481
|
2896 |
+
},
|
2897 |
+
{
|
2898 |
+
"epoch": 0.93,
|
2899 |
+
"learning_rate": 1.3960931507112752e-06,
|
2900 |
+
"loss": 0.7617,
|
2901 |
+
"step": 482
|
2902 |
+
},
|
2903 |
+
{
|
2904 |
+
"epoch": 0.93,
|
2905 |
+
"learning_rate": 1.3239031369438326e-06,
|
2906 |
+
"loss": 0.75,
|
2907 |
+
"step": 483
|
2908 |
+
},
|
2909 |
+
{
|
2910 |
+
"epoch": 0.93,
|
2911 |
+
"learning_rate": 1.2536043909088191e-06,
|
2912 |
+
"loss": 0.7539,
|
2913 |
+
"step": 484
|
2914 |
+
},
|
2915 |
+
{
|
2916 |
+
"epoch": 0.93,
|
2917 |
+
"learning_rate": 1.1851996440033319e-06,
|
2918 |
+
"loss": 0.7578,
|
2919 |
+
"step": 485
|
2920 |
+
},
|
2921 |
+
{
|
2922 |
+
"epoch": 0.93,
|
2923 |
+
"learning_rate": 1.118691554034773e-06,
|
2924 |
+
"loss": 0.75,
|
2925 |
+
"step": 486
|
2926 |
+
},
|
2927 |
+
{
|
2928 |
+
"epoch": 0.94,
|
2929 |
+
"learning_rate": 1.0540827051175818e-06,
|
2930 |
+
"loss": 0.75,
|
2931 |
+
"step": 487
|
2932 |
+
},
|
2933 |
+
{
|
2934 |
+
"epoch": 0.94,
|
2935 |
+
"learning_rate": 9.913756075728087e-07,
|
2936 |
+
"loss": 0.7695,
|
2937 |
+
"step": 488
|
2938 |
+
},
|
2939 |
+
{
|
2940 |
+
"epoch": 0.94,
|
2941 |
+
"learning_rate": 9.305726978306173e-07,
|
2942 |
+
"loss": 0.75,
|
2943 |
+
"step": 489
|
2944 |
+
},
|
2945 |
+
{
|
2946 |
+
"epoch": 0.94,
|
2947 |
+
"learning_rate": 8.716763383355864e-07,
|
2948 |
+
"loss": 0.7656,
|
2949 |
+
"step": 490
|
2950 |
+
},
|
2951 |
+
{
|
2952 |
+
"epoch": 0.94,
|
2953 |
+
"learning_rate": 8.146888174549339e-07,
|
2954 |
+
"loss": 0.7773,
|
2955 |
+
"step": 491
|
2956 |
+
},
|
2957 |
+
{
|
2958 |
+
"epoch": 0.95,
|
2959 |
+
"learning_rate": 7.596123493895991e-07,
|
2960 |
+
"loss": 0.7695,
|
2961 |
+
"step": 492
|
2962 |
+
},
|
2963 |
+
{
|
2964 |
+
"epoch": 0.95,
|
2965 |
+
"learning_rate": 7.064490740882057e-07,
|
2966 |
+
"loss": 0.7461,
|
2967 |
+
"step": 493
|
2968 |
+
},
|
2969 |
+
{
|
2970 |
+
"epoch": 0.95,
|
2971 |
+
"learning_rate": 6.552010571639456e-07,
|
2972 |
+
"loss": 0.7539,
|
2973 |
+
"step": 494
|
2974 |
+
},
|
2975 |
+
{
|
2976 |
+
"epoch": 0.95,
|
2977 |
+
"learning_rate": 6.058702898142643e-07,
|
2978 |
+
"loss": 0.7656,
|
2979 |
+
"step": 495
|
2980 |
+
},
|
2981 |
+
{
|
2982 |
+
"epoch": 0.95,
|
2983 |
+
"learning_rate": 5.584586887435739e-07,
|
2984 |
+
"loss": 0.7539,
|
2985 |
+
"step": 496
|
2986 |
+
},
|
2987 |
+
{
|
2988 |
+
"epoch": 0.96,
|
2989 |
+
"learning_rate": 5.129680960887007e-07,
|
2990 |
+
"loss": 0.7461,
|
2991 |
+
"step": 497
|
2992 |
+
},
|
2993 |
+
{
|
2994 |
+
"epoch": 0.96,
|
2995 |
+
"learning_rate": 4.6940027934735954e-07,
|
2996 |
+
"loss": 0.7656,
|
2997 |
+
"step": 498
|
2998 |
+
},
|
2999 |
+
{
|
3000 |
+
"epoch": 0.96,
|
3001 |
+
"learning_rate": 4.277569313094809e-07,
|
3002 |
+
"loss": 0.7656,
|
3003 |
+
"step": 499
|
3004 |
+
},
|
3005 |
+
{
|
3006 |
+
"epoch": 0.96,
|
3007 |
+
"learning_rate": 3.8803966999139684e-07,
|
3008 |
+
"loss": 0.7734,
|
3009 |
+
"step": 500
|
3010 |
+
},
|
3011 |
+
{
|
3012 |
+
"epoch": 0.96,
|
3013 |
+
"learning_rate": 3.50250038573019e-07,
|
3014 |
+
"loss": 0.7461,
|
3015 |
+
"step": 501
|
3016 |
+
},
|
3017 |
+
{
|
3018 |
+
"epoch": 0.97,
|
3019 |
+
"learning_rate": 3.143895053378698e-07,
|
3020 |
+
"loss": 0.7539,
|
3021 |
+
"step": 502
|
3022 |
+
},
|
3023 |
+
{
|
3024 |
+
"epoch": 0.97,
|
3025 |
+
"learning_rate": 2.8045946361601183e-07,
|
3026 |
+
"loss": 0.7383,
|
3027 |
+
"step": 503
|
3028 |
+
},
|
3029 |
+
{
|
3030 |
+
"epoch": 0.97,
|
3031 |
+
"learning_rate": 2.4846123172992954e-07,
|
3032 |
+
"loss": 0.7422,
|
3033 |
+
"step": 504
|
3034 |
+
},
|
3035 |
+
{
|
3036 |
+
"epoch": 0.97,
|
3037 |
+
"learning_rate": 2.1839605294330933e-07,
|
3038 |
+
"loss": 0.7578,
|
3039 |
+
"step": 505
|
3040 |
+
},
|
3041 |
+
{
|
3042 |
+
"epoch": 0.97,
|
3043 |
+
"learning_rate": 1.9026509541272275e-07,
|
3044 |
+
"loss": 0.7422,
|
3045 |
+
"step": 506
|
3046 |
+
},
|
3047 |
+
{
|
3048 |
+
"epoch": 0.97,
|
3049 |
+
"learning_rate": 1.640694521422459e-07,
|
3050 |
+
"loss": 0.7422,
|
3051 |
+
"step": 507
|
3052 |
+
},
|
3053 |
+
{
|
3054 |
+
"epoch": 0.98,
|
3055 |
+
"learning_rate": 1.3981014094099353e-07,
|
3056 |
+
"loss": 0.7461,
|
3057 |
+
"step": 508
|
3058 |
+
},
|
3059 |
+
{
|
3060 |
+
"epoch": 0.98,
|
3061 |
+
"learning_rate": 1.1748810438355628e-07,
|
3062 |
+
"loss": 0.75,
|
3063 |
+
"step": 509
|
3064 |
+
},
|
3065 |
+
{
|
3066 |
+
"epoch": 0.98,
|
3067 |
+
"learning_rate": 9.710420977340762e-08,
|
3068 |
+
"loss": 0.7461,
|
3069 |
+
"step": 510
|
3070 |
+
},
|
3071 |
+
{
|
3072 |
+
"epoch": 0.98,
|
3073 |
+
"learning_rate": 7.865924910916977e-08,
|
3074 |
+
"loss": 0.7539,
|
3075 |
+
"step": 511
|
3076 |
+
},
|
3077 |
+
{
|
3078 |
+
"epoch": 0.98,
|
3079 |
+
"learning_rate": 6.215393905388278e-08,
|
3080 |
+
"loss": 0.7578,
|
3081 |
+
"step": 512
|
3082 |
+
},
|
3083 |
+
{
|
3084 |
+
"epoch": 0.99,
|
3085 |
+
"learning_rate": 4.7588920907110094e-08,
|
3086 |
+
"loss": 0.7422,
|
3087 |
+
"step": 513
|
3088 |
+
},
|
3089 |
+
{
|
3090 |
+
"epoch": 0.99,
|
3091 |
+
"learning_rate": 3.496476058006959e-08,
|
3092 |
+
"loss": 0.7422,
|
3093 |
+
"step": 514
|
3094 |
+
},
|
3095 |
+
{
|
3096 |
+
"epoch": 0.99,
|
3097 |
+
"learning_rate": 2.4281948573617874e-08,
|
3098 |
+
"loss": 0.7578,
|
3099 |
+
"step": 515
|
3100 |
+
},
|
3101 |
+
{
|
3102 |
+
"epoch": 0.99,
|
3103 |
+
"learning_rate": 1.5540899959187727e-08,
|
3104 |
+
"loss": 0.7539,
|
3105 |
+
"step": 516
|
3106 |
+
},
|
3107 |
+
{
|
3108 |
+
"epoch": 0.99,
|
3109 |
+
"learning_rate": 8.741954362678772e-09,
|
3110 |
+
"loss": 0.7656,
|
3111 |
+
"step": 517
|
3112 |
+
},
|
3113 |
+
{
|
3114 |
+
"epoch": 1.0,
|
3115 |
+
"learning_rate": 3.885375951256931e-09,
|
3116 |
+
"loss": 0.75,
|
3117 |
+
"step": 518
|
3118 |
+
},
|
3119 |
+
{
|
3120 |
+
"epoch": 1.0,
|
3121 |
+
"learning_rate": 9.713534230904041e-10,
|
3122 |
+
"loss": 0.75,
|
3123 |
+
"step": 519
|
3124 |
+
},
|
3125 |
+
{
|
3126 |
+
"epoch": 1.0,
|
3127 |
+
"learning_rate": 0.0,
|
3128 |
+
"loss": 0.7578,
|
3129 |
+
"step": 520
|
3130 |
+
},
|
3131 |
+
{
|
3132 |
+
"epoch": 1.0,
|
3133 |
+
"step": 520,
|
3134 |
+
"total_flos": 2.976872756622131e+16,
|
3135 |
+
"train_loss": 0.17339993990384617,
|
3136 |
+
"train_runtime": 2924.9681,
|
3137 |
+
"train_samples_per_second": 728.716,
|
3138 |
+
"train_steps_per_second": 0.178
|
3139 |
+
}
|
3140 |
+
],
|
3141 |
+
"logging_steps": 1.0,
|
3142 |
+
"max_steps": 520,
|
3143 |
+
"num_input_tokens_seen": 0,
|
3144 |
+
"num_train_epochs": 1,
|
3145 |
+
"save_steps": 200,
|
3146 |
+
"total_flos": 2.976872756622131e+16,
|
3147 |
+
"train_batch_size": 8,
|
3148 |
+
"trial_name": null,
|
3149 |
+
"trial_params": null
|
3150 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7b87ca0b3571ff01ae796139be5d9fe5f3592d4094c477db08bddf3bc2dd38c8
|
3 |
+
size 6523
|