aaabiao
commited on
Commit
·
1c46159
1
Parent(s):
b29c48e
add model
Browse files- .gitattributes +1 -0
- README.md +61 -0
- added_tokens.json +24 -0
- all_results.json +8 -0
- config.json +29 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +346 -0
- special_tokens_map.json +31 -0
- tokenizer.json +0 -0
- tokenizer_config.json +208 -0
- train_results.json +8 -0
- trainer_log.jsonl +3 -0
- trainer_state.json +3416 -0
- training_args.bin +3 -0
- training_loss.png +0 -0
- vocab.json +0 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
36 |
+
*.jsonl filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
license: other
|
4 |
+
base_model: /gpfs/public/01/models/hf_models/Qwen2.5-7B
|
5 |
+
tags:
|
6 |
+
- llama-factory
|
7 |
+
- full
|
8 |
+
- generated_from_trainer
|
9 |
+
model-index:
|
10 |
+
- name: dag_qwen_sft_v0
|
11 |
+
results: []
|
12 |
+
---
|
13 |
+
|
14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
15 |
+
should probably proofread and complete it, then remove this comment. -->
|
16 |
+
|
17 |
+
# dag_qwen_sft_v0
|
18 |
+
|
19 |
+
This model is a fine-tuned version of [/gpfs/public/01/models/hf_models/Qwen2.5-7B](https://huggingface.co//gpfs/public/01/models/hf_models/Qwen2.5-7B) on the DAG_sft_v0 dataset.
|
20 |
+
|
21 |
+
## Model description
|
22 |
+
|
23 |
+
More information needed
|
24 |
+
|
25 |
+
## Intended uses & limitations
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Training and evaluation data
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training procedure
|
34 |
+
|
35 |
+
### Training hyperparameters
|
36 |
+
|
37 |
+
The following hyperparameters were used during training:
|
38 |
+
- learning_rate: 1e-05
|
39 |
+
- train_batch_size: 4
|
40 |
+
- eval_batch_size: 8
|
41 |
+
- seed: 42
|
42 |
+
- distributed_type: multi-GPU
|
43 |
+
- num_devices: 8
|
44 |
+
- gradient_accumulation_steps: 4
|
45 |
+
- total_train_batch_size: 128
|
46 |
+
- total_eval_batch_size: 64
|
47 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
48 |
+
- lr_scheduler_type: cosine
|
49 |
+
- lr_scheduler_warmup_ratio: 0.05
|
50 |
+
- num_epochs: 2.0
|
51 |
+
|
52 |
+
### Training results
|
53 |
+
|
54 |
+
|
55 |
+
|
56 |
+
### Framework versions
|
57 |
+
|
58 |
+
- Transformers 4.44.2
|
59 |
+
- Pytorch 2.4.1+cu121
|
60 |
+
- Datasets 2.21.0
|
61 |
+
- Tokenizers 0.19.1
|
added_tokens.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"</tool_call>": 151658,
|
3 |
+
"<tool_call>": 151657,
|
4 |
+
"<|box_end|>": 151649,
|
5 |
+
"<|box_start|>": 151648,
|
6 |
+
"<|endoftext|>": 151643,
|
7 |
+
"<|file_sep|>": 151664,
|
8 |
+
"<|fim_middle|>": 151660,
|
9 |
+
"<|fim_pad|>": 151662,
|
10 |
+
"<|fim_prefix|>": 151659,
|
11 |
+
"<|fim_suffix|>": 151661,
|
12 |
+
"<|im_end|>": 151645,
|
13 |
+
"<|im_start|>": 151644,
|
14 |
+
"<|image_pad|>": 151655,
|
15 |
+
"<|object_ref_end|>": 151647,
|
16 |
+
"<|object_ref_start|>": 151646,
|
17 |
+
"<|quad_end|>": 151651,
|
18 |
+
"<|quad_start|>": 151650,
|
19 |
+
"<|repo_name|>": 151663,
|
20 |
+
"<|video_pad|>": 151656,
|
21 |
+
"<|vision_end|>": 151653,
|
22 |
+
"<|vision_pad|>": 151654,
|
23 |
+
"<|vision_start|>": 151652
|
24 |
+
}
|
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.9937952430196484,
|
3 |
+
"total_flos": 3.6089290785072087e+18,
|
4 |
+
"train_loss": 0.3119487636316861,
|
5 |
+
"train_runtime": 2571.753,
|
6 |
+
"train_samples_per_second": 24.051,
|
7 |
+
"train_steps_per_second": 0.187
|
8 |
+
}
|
config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/gpfs/public/01/models/hf_models/Qwen2.5-7B",
|
3 |
+
"architectures": [
|
4 |
+
"Qwen2ForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 151643,
|
8 |
+
"eos_token_id": 151643,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 3584,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 18944,
|
13 |
+
"max_position_embeddings": 131072,
|
14 |
+
"max_window_layers": 28,
|
15 |
+
"model_type": "qwen2",
|
16 |
+
"num_attention_heads": 28,
|
17 |
+
"num_hidden_layers": 28,
|
18 |
+
"num_key_value_heads": 4,
|
19 |
+
"rms_norm_eps": 1e-06,
|
20 |
+
"rope_theta": 1000000.0,
|
21 |
+
"sliding_window": null,
|
22 |
+
"tie_word_embeddings": false,
|
23 |
+
"torch_dtype": "bfloat16",
|
24 |
+
"transformers_version": "4.44.2",
|
25 |
+
"use_cache": false,
|
26 |
+
"use_mrope": false,
|
27 |
+
"use_sliding_window": false,
|
28 |
+
"vocab_size": 152064
|
29 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 151643,
|
3 |
+
"eos_token_id": 151643,
|
4 |
+
"max_new_tokens": 2048,
|
5 |
+
"transformers_version": "4.44.2"
|
6 |
+
}
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
model-00001-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e37854e61baf2ee8d6ee5125d330b182d8529fabe5b8a1d455c0b0b714ecb5d9
|
3 |
+
size 4877660776
|
model-00002-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c8cdc90b617a003617bcfd3315fd46156aa1b5dd49c1bd5106ae685cc65d9e09
|
3 |
+
size 4932751008
|
model-00003-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:48a4bd1cbdd432329b190d51fa60e39a72a472a198228a971e90b34aea828223
|
3 |
+
size 4330865200
|
model-00004-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c776016651374c06d0e8e4606b68d6304d1be80a1c779fb619a16f9475be4fe2
|
3 |
+
size 1089994880
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,346 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 15231233024
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00004-of-00004.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
14 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
15 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
16 |
+
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
17 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
18 |
+
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
19 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
20 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
21 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
22 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
23 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
24 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
25 |
+
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
26 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
27 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
28 |
+
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
29 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
30 |
+
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
31 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
32 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
33 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
34 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
35 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
36 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
37 |
+
"model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
38 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
39 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
40 |
+
"model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
41 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
42 |
+
"model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
43 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
44 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
45 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
46 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
47 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
48 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
49 |
+
"model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
50 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
51 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
52 |
+
"model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
53 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
54 |
+
"model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
55 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
56 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
57 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
58 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
59 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
60 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
61 |
+
"model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
62 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
63 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
64 |
+
"model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
65 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
66 |
+
"model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
67 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
68 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
69 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
70 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
71 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
72 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
73 |
+
"model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
74 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
75 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
76 |
+
"model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
77 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
78 |
+
"model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
79 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
80 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
81 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
82 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
83 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
84 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
85 |
+
"model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
86 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
87 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
88 |
+
"model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
89 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
90 |
+
"model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
91 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
92 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
93 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
94 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
95 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
96 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
97 |
+
"model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
98 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
99 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
100 |
+
"model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
101 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
102 |
+
"model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
103 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
104 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
105 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
106 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
107 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
108 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
109 |
+
"model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
110 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
111 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
112 |
+
"model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
113 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
114 |
+
"model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
115 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
116 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
117 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
118 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
119 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
120 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
121 |
+
"model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
122 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
123 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
124 |
+
"model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
125 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
126 |
+
"model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
127 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
128 |
+
"model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
129 |
+
"model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
130 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
131 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
132 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
133 |
+
"model.layers.18.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
134 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
135 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
136 |
+
"model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
137 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
138 |
+
"model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
139 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
140 |
+
"model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
141 |
+
"model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
142 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
143 |
+
"model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
144 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
145 |
+
"model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
146 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
147 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
148 |
+
"model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
149 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
150 |
+
"model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
151 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
152 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
153 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
154 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
155 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
156 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
157 |
+
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
158 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
159 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
160 |
+
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
161 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
162 |
+
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
163 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
164 |
+
"model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
165 |
+
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
166 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
167 |
+
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
168 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
169 |
+
"model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
170 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
171 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
172 |
+
"model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
173 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
174 |
+
"model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
175 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
176 |
+
"model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
177 |
+
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
178 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
179 |
+
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
180 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
181 |
+
"model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
182 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
183 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
184 |
+
"model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
185 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
186 |
+
"model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
187 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
188 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
189 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
190 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
191 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
192 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
193 |
+
"model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
194 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
195 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
196 |
+
"model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
197 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
198 |
+
"model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
199 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
200 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
201 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
202 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
203 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
204 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
205 |
+
"model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
206 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
207 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
208 |
+
"model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
209 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
210 |
+
"model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
211 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
212 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
213 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
214 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
215 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
216 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
217 |
+
"model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
218 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
219 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
220 |
+
"model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
221 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
222 |
+
"model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
223 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
224 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
225 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
226 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
227 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
228 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
229 |
+
"model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
230 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
231 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
232 |
+
"model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
233 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
234 |
+
"model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
235 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
236 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
237 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
238 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
239 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
240 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
241 |
+
"model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
242 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
243 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
244 |
+
"model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
245 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
246 |
+
"model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
247 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
248 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
249 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
250 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
251 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
252 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
253 |
+
"model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
254 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
255 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
256 |
+
"model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
257 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
258 |
+
"model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
259 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
260 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
261 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
262 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
263 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
264 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
265 |
+
"model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
266 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
267 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
268 |
+
"model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
269 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
270 |
+
"model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
271 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
272 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
273 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
274 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
275 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
276 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
277 |
+
"model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
278 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
279 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
280 |
+
"model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
281 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
282 |
+
"model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
283 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
284 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
285 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
286 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
287 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
288 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
289 |
+
"model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
290 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
291 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
292 |
+
"model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
293 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
294 |
+
"model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
295 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
296 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
297 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
298 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
299 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
300 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
301 |
+
"model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
302 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
303 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
304 |
+
"model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
305 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
306 |
+
"model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
307 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
308 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
309 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
310 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
311 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
312 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
313 |
+
"model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
314 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
315 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
316 |
+
"model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
317 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
318 |
+
"model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
319 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
320 |
+
"model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
321 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
322 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
323 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
324 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
325 |
+
"model.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
326 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
327 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
328 |
+
"model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
329 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
330 |
+
"model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
331 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
332 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
333 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
334 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
335 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
336 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
337 |
+
"model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
338 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
339 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
340 |
+
"model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
341 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
342 |
+
"model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
343 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
344 |
+
"model.norm.weight": "model-00003-of-00004.safetensors"
|
345 |
+
}
|
346 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>",
|
5 |
+
"<|object_ref_start|>",
|
6 |
+
"<|object_ref_end|>",
|
7 |
+
"<|box_start|>",
|
8 |
+
"<|box_end|>",
|
9 |
+
"<|quad_start|>",
|
10 |
+
"<|quad_end|>",
|
11 |
+
"<|vision_start|>",
|
12 |
+
"<|vision_end|>",
|
13 |
+
"<|vision_pad|>",
|
14 |
+
"<|image_pad|>",
|
15 |
+
"<|video_pad|>"
|
16 |
+
],
|
17 |
+
"eos_token": {
|
18 |
+
"content": "<|im_end|>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
},
|
24 |
+
"pad_token": {
|
25 |
+
"content": "<|endoftext|>",
|
26 |
+
"lstrip": false,
|
27 |
+
"normalized": false,
|
28 |
+
"rstrip": false,
|
29 |
+
"single_word": false
|
30 |
+
}
|
31 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,208 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_prefix_space": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"151643": {
|
6 |
+
"content": "<|endoftext|>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"151644": {
|
14 |
+
"content": "<|im_start|>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"151645": {
|
22 |
+
"content": "<|im_end|>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"151646": {
|
30 |
+
"content": "<|object_ref_start|>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"151647": {
|
38 |
+
"content": "<|object_ref_end|>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"151648": {
|
46 |
+
"content": "<|box_start|>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": true
|
52 |
+
},
|
53 |
+
"151649": {
|
54 |
+
"content": "<|box_end|>",
|
55 |
+
"lstrip": false,
|
56 |
+
"normalized": false,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
+
"special": true
|
60 |
+
},
|
61 |
+
"151650": {
|
62 |
+
"content": "<|quad_start|>",
|
63 |
+
"lstrip": false,
|
64 |
+
"normalized": false,
|
65 |
+
"rstrip": false,
|
66 |
+
"single_word": false,
|
67 |
+
"special": true
|
68 |
+
},
|
69 |
+
"151651": {
|
70 |
+
"content": "<|quad_end|>",
|
71 |
+
"lstrip": false,
|
72 |
+
"normalized": false,
|
73 |
+
"rstrip": false,
|
74 |
+
"single_word": false,
|
75 |
+
"special": true
|
76 |
+
},
|
77 |
+
"151652": {
|
78 |
+
"content": "<|vision_start|>",
|
79 |
+
"lstrip": false,
|
80 |
+
"normalized": false,
|
81 |
+
"rstrip": false,
|
82 |
+
"single_word": false,
|
83 |
+
"special": true
|
84 |
+
},
|
85 |
+
"151653": {
|
86 |
+
"content": "<|vision_end|>",
|
87 |
+
"lstrip": false,
|
88 |
+
"normalized": false,
|
89 |
+
"rstrip": false,
|
90 |
+
"single_word": false,
|
91 |
+
"special": true
|
92 |
+
},
|
93 |
+
"151654": {
|
94 |
+
"content": "<|vision_pad|>",
|
95 |
+
"lstrip": false,
|
96 |
+
"normalized": false,
|
97 |
+
"rstrip": false,
|
98 |
+
"single_word": false,
|
99 |
+
"special": true
|
100 |
+
},
|
101 |
+
"151655": {
|
102 |
+
"content": "<|image_pad|>",
|
103 |
+
"lstrip": false,
|
104 |
+
"normalized": false,
|
105 |
+
"rstrip": false,
|
106 |
+
"single_word": false,
|
107 |
+
"special": true
|
108 |
+
},
|
109 |
+
"151656": {
|
110 |
+
"content": "<|video_pad|>",
|
111 |
+
"lstrip": false,
|
112 |
+
"normalized": false,
|
113 |
+
"rstrip": false,
|
114 |
+
"single_word": false,
|
115 |
+
"special": true
|
116 |
+
},
|
117 |
+
"151657": {
|
118 |
+
"content": "<tool_call>",
|
119 |
+
"lstrip": false,
|
120 |
+
"normalized": false,
|
121 |
+
"rstrip": false,
|
122 |
+
"single_word": false,
|
123 |
+
"special": false
|
124 |
+
},
|
125 |
+
"151658": {
|
126 |
+
"content": "</tool_call>",
|
127 |
+
"lstrip": false,
|
128 |
+
"normalized": false,
|
129 |
+
"rstrip": false,
|
130 |
+
"single_word": false,
|
131 |
+
"special": false
|
132 |
+
},
|
133 |
+
"151659": {
|
134 |
+
"content": "<|fim_prefix|>",
|
135 |
+
"lstrip": false,
|
136 |
+
"normalized": false,
|
137 |
+
"rstrip": false,
|
138 |
+
"single_word": false,
|
139 |
+
"special": false
|
140 |
+
},
|
141 |
+
"151660": {
|
142 |
+
"content": "<|fim_middle|>",
|
143 |
+
"lstrip": false,
|
144 |
+
"normalized": false,
|
145 |
+
"rstrip": false,
|
146 |
+
"single_word": false,
|
147 |
+
"special": false
|
148 |
+
},
|
149 |
+
"151661": {
|
150 |
+
"content": "<|fim_suffix|>",
|
151 |
+
"lstrip": false,
|
152 |
+
"normalized": false,
|
153 |
+
"rstrip": false,
|
154 |
+
"single_word": false,
|
155 |
+
"special": false
|
156 |
+
},
|
157 |
+
"151662": {
|
158 |
+
"content": "<|fim_pad|>",
|
159 |
+
"lstrip": false,
|
160 |
+
"normalized": false,
|
161 |
+
"rstrip": false,
|
162 |
+
"single_word": false,
|
163 |
+
"special": false
|
164 |
+
},
|
165 |
+
"151663": {
|
166 |
+
"content": "<|repo_name|>",
|
167 |
+
"lstrip": false,
|
168 |
+
"normalized": false,
|
169 |
+
"rstrip": false,
|
170 |
+
"single_word": false,
|
171 |
+
"special": false
|
172 |
+
},
|
173 |
+
"151664": {
|
174 |
+
"content": "<|file_sep|>",
|
175 |
+
"lstrip": false,
|
176 |
+
"normalized": false,
|
177 |
+
"rstrip": false,
|
178 |
+
"single_word": false,
|
179 |
+
"special": false
|
180 |
+
}
|
181 |
+
},
|
182 |
+
"additional_special_tokens": [
|
183 |
+
"<|im_start|>",
|
184 |
+
"<|im_end|>",
|
185 |
+
"<|object_ref_start|>",
|
186 |
+
"<|object_ref_end|>",
|
187 |
+
"<|box_start|>",
|
188 |
+
"<|box_end|>",
|
189 |
+
"<|quad_start|>",
|
190 |
+
"<|quad_end|>",
|
191 |
+
"<|vision_start|>",
|
192 |
+
"<|vision_end|>",
|
193 |
+
"<|vision_pad|>",
|
194 |
+
"<|image_pad|>",
|
195 |
+
"<|video_pad|>"
|
196 |
+
],
|
197 |
+
"bos_token": null,
|
198 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
199 |
+
"clean_up_tokenization_spaces": false,
|
200 |
+
"eos_token": "<|im_end|>",
|
201 |
+
"errors": "replace",
|
202 |
+
"model_max_length": 131072,
|
203 |
+
"pad_token": "<|endoftext|>",
|
204 |
+
"padding_side": "right",
|
205 |
+
"split_special_tokens": false,
|
206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
207 |
+
"unk_token": null
|
208 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.9937952430196484,
|
3 |
+
"total_flos": 3.6089290785072087e+18,
|
4 |
+
"train_loss": 0.3119487636316861,
|
5 |
+
"train_runtime": 2571.753,
|
6 |
+
"train_samples_per_second": 24.051,
|
7 |
+
"train_steps_per_second": 0.187
|
8 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:04c620f09efa8f9889b6c331d1d4a5dad9ac6315e6dab56a72993cdc0db75ad3
|
3 |
+
size 93396
|
trainer_state.json
ADDED
@@ -0,0 +1,3416 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.9937952430196484,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 482,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.004136504653567736,
|
13 |
+
"grad_norm": 8.454320907592773,
|
14 |
+
"learning_rate": 4.0000000000000003e-07,
|
15 |
+
"loss": 0.4689,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.008273009307135471,
|
20 |
+
"grad_norm": 8.755942344665527,
|
21 |
+
"learning_rate": 8.000000000000001e-07,
|
22 |
+
"loss": 0.4625,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.012409513960703205,
|
27 |
+
"grad_norm": 13.382512092590332,
|
28 |
+
"learning_rate": 1.2000000000000002e-06,
|
29 |
+
"loss": 0.4319,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.016546018614270942,
|
34 |
+
"grad_norm": 11.072649955749512,
|
35 |
+
"learning_rate": 1.6000000000000001e-06,
|
36 |
+
"loss": 0.471,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.020682523267838676,
|
41 |
+
"grad_norm": 4.4571709632873535,
|
42 |
+
"learning_rate": 2.0000000000000003e-06,
|
43 |
+
"loss": 0.4341,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.02481902792140641,
|
48 |
+
"grad_norm": 4.237286567687988,
|
49 |
+
"learning_rate": 2.4000000000000003e-06,
|
50 |
+
"loss": 0.4637,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.028955532574974147,
|
55 |
+
"grad_norm": 3.21901535987854,
|
56 |
+
"learning_rate": 2.8000000000000003e-06,
|
57 |
+
"loss": 0.4598,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.033092037228541885,
|
62 |
+
"grad_norm": 2.7905218601226807,
|
63 |
+
"learning_rate": 3.2000000000000003e-06,
|
64 |
+
"loss": 0.4174,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.03722854188210962,
|
69 |
+
"grad_norm": 2.5547449588775635,
|
70 |
+
"learning_rate": 3.6000000000000003e-06,
|
71 |
+
"loss": 0.4488,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.04136504653567735,
|
76 |
+
"grad_norm": 2.075817584991455,
|
77 |
+
"learning_rate": 4.000000000000001e-06,
|
78 |
+
"loss": 0.4323,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.045501551189245086,
|
83 |
+
"grad_norm": 1.1852331161499023,
|
84 |
+
"learning_rate": 4.4e-06,
|
85 |
+
"loss": 0.404,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.04963805584281282,
|
90 |
+
"grad_norm": 1.370549201965332,
|
91 |
+
"learning_rate": 4.800000000000001e-06,
|
92 |
+
"loss": 0.3687,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.05377456049638056,
|
97 |
+
"grad_norm": 0.7430139780044556,
|
98 |
+
"learning_rate": 5.2e-06,
|
99 |
+
"loss": 0.3812,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.057911065149948295,
|
104 |
+
"grad_norm": 0.8032243251800537,
|
105 |
+
"learning_rate": 5.600000000000001e-06,
|
106 |
+
"loss": 0.373,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.06204756980351603,
|
111 |
+
"grad_norm": 2.7111802101135254,
|
112 |
+
"learning_rate": 6e-06,
|
113 |
+
"loss": 0.371,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.06618407445708377,
|
118 |
+
"grad_norm": 0.8430923819541931,
|
119 |
+
"learning_rate": 6.4000000000000006e-06,
|
120 |
+
"loss": 0.3891,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.0703205791106515,
|
125 |
+
"grad_norm": 0.6954956650733948,
|
126 |
+
"learning_rate": 6.800000000000001e-06,
|
127 |
+
"loss": 0.376,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.07445708376421924,
|
132 |
+
"grad_norm": 0.7058322429656982,
|
133 |
+
"learning_rate": 7.2000000000000005e-06,
|
134 |
+
"loss": 0.3958,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.07859358841778696,
|
139 |
+
"grad_norm": 0.5975633859634399,
|
140 |
+
"learning_rate": 7.600000000000001e-06,
|
141 |
+
"loss": 0.3674,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.0827300930713547,
|
146 |
+
"grad_norm": 0.6905612945556641,
|
147 |
+
"learning_rate": 8.000000000000001e-06,
|
148 |
+
"loss": 0.3925,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.08686659772492245,
|
153 |
+
"grad_norm": 0.6662179827690125,
|
154 |
+
"learning_rate": 8.400000000000001e-06,
|
155 |
+
"loss": 0.3837,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.09100310237849017,
|
160 |
+
"grad_norm": 0.9616004824638367,
|
161 |
+
"learning_rate": 8.8e-06,
|
162 |
+
"loss": 0.3805,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.09513960703205791,
|
167 |
+
"grad_norm": 1.6762669086456299,
|
168 |
+
"learning_rate": 9.200000000000002e-06,
|
169 |
+
"loss": 0.3661,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.09927611168562564,
|
174 |
+
"grad_norm": 3.642876148223877,
|
175 |
+
"learning_rate": 9.600000000000001e-06,
|
176 |
+
"loss": 0.3723,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.10341261633919338,
|
181 |
+
"grad_norm": 22.331893920898438,
|
182 |
+
"learning_rate": 1e-05,
|
183 |
+
"loss": 0.4012,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.10754912099276112,
|
188 |
+
"grad_norm": 4.078958034515381,
|
189 |
+
"learning_rate": 9.999881857639567e-06,
|
190 |
+
"loss": 0.4019,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.11168562564632885,
|
195 |
+
"grad_norm": 2.163355827331543,
|
196 |
+
"learning_rate": 9.999527436141312e-06,
|
197 |
+
"loss": 0.4275,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.11582213029989659,
|
202 |
+
"grad_norm": 1.0988469123840332,
|
203 |
+
"learning_rate": 9.998936752254111e-06,
|
204 |
+
"loss": 0.3885,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.11995863495346432,
|
209 |
+
"grad_norm": 1.299137830734253,
|
210 |
+
"learning_rate": 9.998109833891883e-06,
|
211 |
+
"loss": 0.388,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.12409513960703206,
|
216 |
+
"grad_norm": 5.283950328826904,
|
217 |
+
"learning_rate": 9.997046720132262e-06,
|
218 |
+
"loss": 0.4219,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.1282316442605998,
|
223 |
+
"grad_norm": 0.8062543869018555,
|
224 |
+
"learning_rate": 9.995747461214752e-06,
|
225 |
+
"loss": 0.3589,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.13236814891416754,
|
230 |
+
"grad_norm": 0.7722073793411255,
|
231 |
+
"learning_rate": 9.994212118538364e-06,
|
232 |
+
"loss": 0.3486,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.13650465356773525,
|
237 |
+
"grad_norm": 0.762801468372345,
|
238 |
+
"learning_rate": 9.992440764658697e-06,
|
239 |
+
"loss": 0.3676,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.140641158221303,
|
244 |
+
"grad_norm": 0.745180606842041,
|
245 |
+
"learning_rate": 9.990433483284527e-06,
|
246 |
+
"loss": 0.4115,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.14477766287487073,
|
251 |
+
"grad_norm": 0.8027282953262329,
|
252 |
+
"learning_rate": 9.988190369273834e-06,
|
253 |
+
"loss": 0.4001,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.14891416752843847,
|
258 |
+
"grad_norm": 0.6682556867599487,
|
259 |
+
"learning_rate": 9.985711528629332e-06,
|
260 |
+
"loss": 0.3637,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.15305067218200621,
|
265 |
+
"grad_norm": 0.6948946714401245,
|
266 |
+
"learning_rate": 9.982997078493457e-06,
|
267 |
+
"loss": 0.3488,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.15718717683557393,
|
272 |
+
"grad_norm": 0.7381304502487183,
|
273 |
+
"learning_rate": 9.980047147142824e-06,
|
274 |
+
"loss": 0.3777,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.16132368148914167,
|
279 |
+
"grad_norm": 0.6775998473167419,
|
280 |
+
"learning_rate": 9.976861873982177e-06,
|
281 |
+
"loss": 0.3904,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.1654601861427094,
|
286 |
+
"grad_norm": 0.8822210431098938,
|
287 |
+
"learning_rate": 9.973441409537795e-06,
|
288 |
+
"loss": 0.383,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.16959669079627715,
|
293 |
+
"grad_norm": 0.657383382320404,
|
294 |
+
"learning_rate": 9.969785915450368e-06,
|
295 |
+
"loss": 0.3882,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.1737331954498449,
|
300 |
+
"grad_norm": 0.6214635372161865,
|
301 |
+
"learning_rate": 9.965895564467381e-06,
|
302 |
+
"loss": 0.3922,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.1778697001034126,
|
307 |
+
"grad_norm": 0.6440220475196838,
|
308 |
+
"learning_rate": 9.961770540434931e-06,
|
309 |
+
"loss": 0.3796,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.18200620475698034,
|
314 |
+
"grad_norm": 0.6130467653274536,
|
315 |
+
"learning_rate": 9.95741103828905e-06,
|
316 |
+
"loss": 0.3562,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.18614270941054809,
|
321 |
+
"grad_norm": 0.6214406490325928,
|
322 |
+
"learning_rate": 9.952817264046486e-06,
|
323 |
+
"loss": 0.396,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.19027921406411583,
|
328 |
+
"grad_norm": 0.5837990641593933,
|
329 |
+
"learning_rate": 9.947989434794973e-06,
|
330 |
+
"loss": 0.3455,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.19441571871768357,
|
335 |
+
"grad_norm": 0.6432331800460815,
|
336 |
+
"learning_rate": 9.942927778682968e-06,
|
337 |
+
"loss": 0.3791,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.19855222337125128,
|
342 |
+
"grad_norm": 0.6208926439285278,
|
343 |
+
"learning_rate": 9.937632534908872e-06,
|
344 |
+
"loss": 0.4059,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.20268872802481902,
|
349 |
+
"grad_norm": 0.6121624112129211,
|
350 |
+
"learning_rate": 9.932103953709724e-06,
|
351 |
+
"loss": 0.3693,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.20682523267838676,
|
356 |
+
"grad_norm": 0.5415109395980835,
|
357 |
+
"learning_rate": 9.926342296349378e-06,
|
358 |
+
"loss": 0.3192,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.2109617373319545,
|
363 |
+
"grad_norm": 0.5551713109016418,
|
364 |
+
"learning_rate": 9.920347835106152e-06,
|
365 |
+
"loss": 0.3563,
|
366 |
+
"step": 51
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.21509824198552224,
|
370 |
+
"grad_norm": 0.6338883638381958,
|
371 |
+
"learning_rate": 9.914120853259968e-06,
|
372 |
+
"loss": 0.3917,
|
373 |
+
"step": 52
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.21923474663908996,
|
377 |
+
"grad_norm": 0.6104925274848938,
|
378 |
+
"learning_rate": 9.90766164507896e-06,
|
379 |
+
"loss": 0.3983,
|
380 |
+
"step": 53
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.2233712512926577,
|
384 |
+
"grad_norm": 0.592183530330658,
|
385 |
+
"learning_rate": 9.900970515805564e-06,
|
386 |
+
"loss": 0.341,
|
387 |
+
"step": 54
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.22750775594622544,
|
391 |
+
"grad_norm": 0.513282060623169,
|
392 |
+
"learning_rate": 9.89404778164211e-06,
|
393 |
+
"loss": 0.3581,
|
394 |
+
"step": 55
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.23164426059979318,
|
398 |
+
"grad_norm": 0.5831045508384705,
|
399 |
+
"learning_rate": 9.886893769735852e-06,
|
400 |
+
"loss": 0.3561,
|
401 |
+
"step": 56
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.23578076525336092,
|
405 |
+
"grad_norm": 0.5578728914260864,
|
406 |
+
"learning_rate": 9.879508818163536e-06,
|
407 |
+
"loss": 0.3615,
|
408 |
+
"step": 57
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.23991726990692863,
|
412 |
+
"grad_norm": 0.6278296709060669,
|
413 |
+
"learning_rate": 9.871893275915408e-06,
|
414 |
+
"loss": 0.3675,
|
415 |
+
"step": 58
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.24405377456049637,
|
419 |
+
"grad_norm": 0.7174540758132935,
|
420 |
+
"learning_rate": 9.864047502878717e-06,
|
421 |
+
"loss": 0.3633,
|
422 |
+
"step": 59
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.2481902792140641,
|
426 |
+
"grad_norm": 0.5807657837867737,
|
427 |
+
"learning_rate": 9.855971869820726e-06,
|
428 |
+
"loss": 0.3567,
|
429 |
+
"step": 60
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.25232678386763185,
|
433 |
+
"grad_norm": 0.5903241038322449,
|
434 |
+
"learning_rate": 9.847666758371175e-06,
|
435 |
+
"loss": 0.3864,
|
436 |
+
"step": 61
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.2564632885211996,
|
440 |
+
"grad_norm": 0.5542154312133789,
|
441 |
+
"learning_rate": 9.83913256100425e-06,
|
442 |
+
"loss": 0.3763,
|
443 |
+
"step": 62
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.26059979317476734,
|
447 |
+
"grad_norm": 0.6011348962783813,
|
448 |
+
"learning_rate": 9.830369681020043e-06,
|
449 |
+
"loss": 0.363,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.2647362978283351,
|
454 |
+
"grad_norm": 0.5147583484649658,
|
455 |
+
"learning_rate": 9.821378532525479e-06,
|
456 |
+
"loss": 0.3634,
|
457 |
+
"step": 64
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.2688728024819028,
|
461 |
+
"grad_norm": 0.5299031734466553,
|
462 |
+
"learning_rate": 9.812159540414766e-06,
|
463 |
+
"loss": 0.3703,
|
464 |
+
"step": 65
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.2730093071354705,
|
468 |
+
"grad_norm": 0.525841474533081,
|
469 |
+
"learning_rate": 9.802713140349294e-06,
|
470 |
+
"loss": 0.3592,
|
471 |
+
"step": 66
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.27714581178903824,
|
475 |
+
"grad_norm": 0.47922268509864807,
|
476 |
+
"learning_rate": 9.79303977873707e-06,
|
477 |
+
"loss": 0.3484,
|
478 |
+
"step": 67
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.281282316442606,
|
482 |
+
"grad_norm": 0.5722537636756897,
|
483 |
+
"learning_rate": 9.783139912711597e-06,
|
484 |
+
"loss": 0.3435,
|
485 |
+
"step": 68
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.2854188210961737,
|
489 |
+
"grad_norm": 0.603398859500885,
|
490 |
+
"learning_rate": 9.773014010110298e-06,
|
491 |
+
"loss": 0.3995,
|
492 |
+
"step": 69
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.28955532574974147,
|
496 |
+
"grad_norm": 0.529694139957428,
|
497 |
+
"learning_rate": 9.76266254945238e-06,
|
498 |
+
"loss": 0.3934,
|
499 |
+
"step": 70
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.2936918304033092,
|
503 |
+
"grad_norm": 0.5173729062080383,
|
504 |
+
"learning_rate": 9.752086019916246e-06,
|
505 |
+
"loss": 0.3618,
|
506 |
+
"step": 71
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.29782833505687695,
|
510 |
+
"grad_norm": 0.5737492442131042,
|
511 |
+
"learning_rate": 9.74128492131636e-06,
|
512 |
+
"loss": 0.377,
|
513 |
+
"step": 72
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.3019648397104447,
|
517 |
+
"grad_norm": 0.6340614557266235,
|
518 |
+
"learning_rate": 9.730259764079636e-06,
|
519 |
+
"loss": 0.3887,
|
520 |
+
"step": 73
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.30610134436401243,
|
524 |
+
"grad_norm": 0.5502659678459167,
|
525 |
+
"learning_rate": 9.719011069221316e-06,
|
526 |
+
"loss": 0.3749,
|
527 |
+
"step": 74
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.31023784901758017,
|
531 |
+
"grad_norm": 0.48107632994651794,
|
532 |
+
"learning_rate": 9.70753936832034e-06,
|
533 |
+
"loss": 0.3445,
|
534 |
+
"step": 75
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.31437435367114785,
|
538 |
+
"grad_norm": 0.47837021946907043,
|
539 |
+
"learning_rate": 9.695845203494242e-06,
|
540 |
+
"loss": 0.3566,
|
541 |
+
"step": 76
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.3185108583247156,
|
545 |
+
"grad_norm": 0.5170641541481018,
|
546 |
+
"learning_rate": 9.683929127373514e-06,
|
547 |
+
"loss": 0.3878,
|
548 |
+
"step": 77
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.32264736297828334,
|
552 |
+
"grad_norm": 0.5370326638221741,
|
553 |
+
"learning_rate": 9.671791703075502e-06,
|
554 |
+
"loss": 0.3545,
|
555 |
+
"step": 78
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.3267838676318511,
|
559 |
+
"grad_norm": 0.5362874865531921,
|
560 |
+
"learning_rate": 9.659433504177786e-06,
|
561 |
+
"loss": 0.3947,
|
562 |
+
"step": 79
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.3309203722854188,
|
566 |
+
"grad_norm": 0.5446822047233582,
|
567 |
+
"learning_rate": 9.646855114691081e-06,
|
568 |
+
"loss": 0.3777,
|
569 |
+
"step": 80
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.33505687693898656,
|
573 |
+
"grad_norm": 0.5000081658363342,
|
574 |
+
"learning_rate": 9.63405712903164e-06,
|
575 |
+
"loss": 0.3713,
|
576 |
+
"step": 81
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.3391933815925543,
|
580 |
+
"grad_norm": 0.4431915581226349,
|
581 |
+
"learning_rate": 9.621040151993153e-06,
|
582 |
+
"loss": 0.3508,
|
583 |
+
"step": 82
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.34332988624612204,
|
587 |
+
"grad_norm": 0.51210618019104,
|
588 |
+
"learning_rate": 9.607804798718182e-06,
|
589 |
+
"loss": 0.3702,
|
590 |
+
"step": 83
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.3474663908996898,
|
594 |
+
"grad_norm": 0.49018731713294983,
|
595 |
+
"learning_rate": 9.59435169466907e-06,
|
596 |
+
"loss": 0.3796,
|
597 |
+
"step": 84
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.3516028955532575,
|
601 |
+
"grad_norm": 0.5700220465660095,
|
602 |
+
"learning_rate": 9.580681475598413e-06,
|
603 |
+
"loss": 0.3882,
|
604 |
+
"step": 85
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.3557394002068252,
|
608 |
+
"grad_norm": 0.48753252625465393,
|
609 |
+
"learning_rate": 9.566794787518986e-06,
|
610 |
+
"loss": 0.3773,
|
611 |
+
"step": 86
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.35987590486039295,
|
615 |
+
"grad_norm": 0.47645437717437744,
|
616 |
+
"learning_rate": 9.552692286673231e-06,
|
617 |
+
"loss": 0.3478,
|
618 |
+
"step": 87
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.3640124095139607,
|
622 |
+
"grad_norm": 0.4645499587059021,
|
623 |
+
"learning_rate": 9.538374639502247e-06,
|
624 |
+
"loss": 0.3523,
|
625 |
+
"step": 88
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.36814891416752843,
|
629 |
+
"grad_norm": 0.4936198890209198,
|
630 |
+
"learning_rate": 9.523842522614285e-06,
|
631 |
+
"loss": 0.3233,
|
632 |
+
"step": 89
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.37228541882109617,
|
636 |
+
"grad_norm": 0.47896862030029297,
|
637 |
+
"learning_rate": 9.509096622752781e-06,
|
638 |
+
"loss": 0.3583,
|
639 |
+
"step": 90
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.3764219234746639,
|
643 |
+
"grad_norm": 0.4804452955722809,
|
644 |
+
"learning_rate": 9.4941376367639e-06,
|
645 |
+
"loss": 0.3441,
|
646 |
+
"step": 91
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.38055842812823165,
|
650 |
+
"grad_norm": 0.47014203667640686,
|
651 |
+
"learning_rate": 9.478966271563614e-06,
|
652 |
+
"loss": 0.3406,
|
653 |
+
"step": 92
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.3846949327817994,
|
657 |
+
"grad_norm": 0.5452392101287842,
|
658 |
+
"learning_rate": 9.463583244104274e-06,
|
659 |
+
"loss": 0.3658,
|
660 |
+
"step": 93
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.38883143743536713,
|
664 |
+
"grad_norm": 0.49594131112098694,
|
665 |
+
"learning_rate": 9.447989281340753e-06,
|
666 |
+
"loss": 0.3644,
|
667 |
+
"step": 94
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.3929679420889349,
|
671 |
+
"grad_norm": 0.48177802562713623,
|
672 |
+
"learning_rate": 9.43218512019608e-06,
|
673 |
+
"loss": 0.364,
|
674 |
+
"step": 95
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.39710444674250256,
|
678 |
+
"grad_norm": 0.4789188504219055,
|
679 |
+
"learning_rate": 9.416171507526615e-06,
|
680 |
+
"loss": 0.3724,
|
681 |
+
"step": 96
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.4012409513960703,
|
685 |
+
"grad_norm": 0.5925107598304749,
|
686 |
+
"learning_rate": 9.399949200086757e-06,
|
687 |
+
"loss": 0.3799,
|
688 |
+
"step": 97
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.40537745604963804,
|
692 |
+
"grad_norm": 0.540553092956543,
|
693 |
+
"learning_rate": 9.383518964493183e-06,
|
694 |
+
"loss": 0.3913,
|
695 |
+
"step": 98
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.4095139607032058,
|
699 |
+
"grad_norm": 0.5033954977989197,
|
700 |
+
"learning_rate": 9.36688157718862e-06,
|
701 |
+
"loss": 0.3882,
|
702 |
+
"step": 99
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.4136504653567735,
|
706 |
+
"grad_norm": 0.4835229218006134,
|
707 |
+
"learning_rate": 9.350037824405151e-06,
|
708 |
+
"loss": 0.357,
|
709 |
+
"step": 100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.41778697001034126,
|
713 |
+
"grad_norm": 0.5028110146522522,
|
714 |
+
"learning_rate": 9.332988502127063e-06,
|
715 |
+
"loss": 0.3395,
|
716 |
+
"step": 101
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.421923474663909,
|
720 |
+
"grad_norm": 0.6103828549385071,
|
721 |
+
"learning_rate": 9.315734416053223e-06,
|
722 |
+
"loss": 0.3832,
|
723 |
+
"step": 102
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.42605997931747674,
|
727 |
+
"grad_norm": 0.4925767481327057,
|
728 |
+
"learning_rate": 9.298276381559015e-06,
|
729 |
+
"loss": 0.3414,
|
730 |
+
"step": 103
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.4301964839710445,
|
734 |
+
"grad_norm": 0.5328059792518616,
|
735 |
+
"learning_rate": 9.280615223657801e-06,
|
736 |
+
"loss": 0.3887,
|
737 |
+
"step": 104
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.4343329886246122,
|
741 |
+
"grad_norm": 0.5046906471252441,
|
742 |
+
"learning_rate": 9.262751776961936e-06,
|
743 |
+
"loss": 0.3608,
|
744 |
+
"step": 105
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.4384694932781799,
|
748 |
+
"grad_norm": 0.4689864218235016,
|
749 |
+
"learning_rate": 9.24468688564332e-06,
|
750 |
+
"loss": 0.3734,
|
751 |
+
"step": 106
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.44260599793174765,
|
755 |
+
"grad_norm": 0.46193334460258484,
|
756 |
+
"learning_rate": 9.226421403393513e-06,
|
757 |
+
"loss": 0.3557,
|
758 |
+
"step": 107
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.4467425025853154,
|
762 |
+
"grad_norm": 0.518205463886261,
|
763 |
+
"learning_rate": 9.207956193383392e-06,
|
764 |
+
"loss": 0.3293,
|
765 |
+
"step": 108
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.45087900723888313,
|
769 |
+
"grad_norm": 0.5061272978782654,
|
770 |
+
"learning_rate": 9.189292128222355e-06,
|
771 |
+
"loss": 0.3477,
|
772 |
+
"step": 109
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.4550155118924509,
|
776 |
+
"grad_norm": 0.46607810258865356,
|
777 |
+
"learning_rate": 9.170430089917089e-06,
|
778 |
+
"loss": 0.3978,
|
779 |
+
"step": 110
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.4591520165460186,
|
783 |
+
"grad_norm": 0.4538101851940155,
|
784 |
+
"learning_rate": 9.151370969829883e-06,
|
785 |
+
"loss": 0.3525,
|
786 |
+
"step": 111
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.46328852119958636,
|
790 |
+
"grad_norm": 0.4456521272659302,
|
791 |
+
"learning_rate": 9.132115668636512e-06,
|
792 |
+
"loss": 0.3575,
|
793 |
+
"step": 112
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.4674250258531541,
|
797 |
+
"grad_norm": 0.5219409465789795,
|
798 |
+
"learning_rate": 9.112665096283668e-06,
|
799 |
+
"loss": 0.3703,
|
800 |
+
"step": 113
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.47156153050672184,
|
804 |
+
"grad_norm": 0.5195448398590088,
|
805 |
+
"learning_rate": 9.093020171945966e-06,
|
806 |
+
"loss": 0.3651,
|
807 |
+
"step": 114
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.4756980351602896,
|
811 |
+
"grad_norm": 0.5239256620407104,
|
812 |
+
"learning_rate": 9.073181823982495e-06,
|
813 |
+
"loss": 0.3555,
|
814 |
+
"step": 115
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.47983453981385726,
|
818 |
+
"grad_norm": 0.4262794852256775,
|
819 |
+
"learning_rate": 9.05315098989296e-06,
|
820 |
+
"loss": 0.3303,
|
821 |
+
"step": 116
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.483971044467425,
|
825 |
+
"grad_norm": 0.4619412422180176,
|
826 |
+
"learning_rate": 9.032928616273369e-06,
|
827 |
+
"loss": 0.3612,
|
828 |
+
"step": 117
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.48810754912099275,
|
832 |
+
"grad_norm": 0.468650758266449,
|
833 |
+
"learning_rate": 9.012515658771301e-06,
|
834 |
+
"loss": 0.3725,
|
835 |
+
"step": 118
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.4922440537745605,
|
839 |
+
"grad_norm": 0.4874132573604584,
|
840 |
+
"learning_rate": 8.991913082040752e-06,
|
841 |
+
"loss": 0.3671,
|
842 |
+
"step": 119
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.4963805584281282,
|
846 |
+
"grad_norm": 0.48114946484565735,
|
847 |
+
"learning_rate": 8.971121859696539e-06,
|
848 |
+
"loss": 0.3603,
|
849 |
+
"step": 120
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.500517063081696,
|
853 |
+
"grad_norm": 0.5342724919319153,
|
854 |
+
"learning_rate": 8.950142974268295e-06,
|
855 |
+
"loss": 0.3561,
|
856 |
+
"step": 121
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.5046535677352637,
|
860 |
+
"grad_norm": 0.5296602845191956,
|
861 |
+
"learning_rate": 8.928977417154037e-06,
|
862 |
+
"loss": 0.3552,
|
863 |
+
"step": 122
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.5087900723888314,
|
867 |
+
"grad_norm": 0.47604137659072876,
|
868 |
+
"learning_rate": 8.907626188573319e-06,
|
869 |
+
"loss": 0.3751,
|
870 |
+
"step": 123
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.5129265770423992,
|
874 |
+
"grad_norm": 0.544127345085144,
|
875 |
+
"learning_rate": 8.886090297519956e-06,
|
876 |
+
"loss": 0.39,
|
877 |
+
"step": 124
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.5170630816959669,
|
881 |
+
"grad_norm": 0.495714396238327,
|
882 |
+
"learning_rate": 8.864370761714348e-06,
|
883 |
+
"loss": 0.3764,
|
884 |
+
"step": 125
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.5211995863495347,
|
888 |
+
"grad_norm": 0.45246466994285583,
|
889 |
+
"learning_rate": 8.842468607555389e-06,
|
890 |
+
"loss": 0.3273,
|
891 |
+
"step": 126
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.5253360910031024,
|
895 |
+
"grad_norm": 0.46964627504348755,
|
896 |
+
"learning_rate": 8.820384870071951e-06,
|
897 |
+
"loss": 0.3712,
|
898 |
+
"step": 127
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.5294725956566702,
|
902 |
+
"grad_norm": 0.5150438547134399,
|
903 |
+
"learning_rate": 8.79812059287399e-06,
|
904 |
+
"loss": 0.3676,
|
905 |
+
"step": 128
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.5336091003102379,
|
909 |
+
"grad_norm": 0.48608115315437317,
|
910 |
+
"learning_rate": 8.775676828103205e-06,
|
911 |
+
"loss": 0.3862,
|
912 |
+
"step": 129
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.5377456049638056,
|
916 |
+
"grad_norm": 0.5238416790962219,
|
917 |
+
"learning_rate": 8.753054636383336e-06,
|
918 |
+
"loss": 0.3927,
|
919 |
+
"step": 130
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.5418821096173733,
|
923 |
+
"grad_norm": 0.4756030738353729,
|
924 |
+
"learning_rate": 8.730255086770037e-06,
|
925 |
+
"loss": 0.3429,
|
926 |
+
"step": 131
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.546018614270941,
|
930 |
+
"grad_norm": 0.46515801548957825,
|
931 |
+
"learning_rate": 8.707279256700348e-06,
|
932 |
+
"loss": 0.3367,
|
933 |
+
"step": 132
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.5501551189245087,
|
937 |
+
"grad_norm": 0.5517006516456604,
|
938 |
+
"learning_rate": 8.684128231941789e-06,
|
939 |
+
"loss": 0.3688,
|
940 |
+
"step": 133
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.5542916235780765,
|
944 |
+
"grad_norm": 0.5072327852249146,
|
945 |
+
"learning_rate": 8.660803106541044e-06,
|
946 |
+
"loss": 0.3224,
|
947 |
+
"step": 134
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.5584281282316442,
|
951 |
+
"grad_norm": 0.4414540231227875,
|
952 |
+
"learning_rate": 8.637304982772263e-06,
|
953 |
+
"loss": 0.3166,
|
954 |
+
"step": 135
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.562564632885212,
|
958 |
+
"grad_norm": 0.5401909351348877,
|
959 |
+
"learning_rate": 8.613634971084967e-06,
|
960 |
+
"loss": 0.3697,
|
961 |
+
"step": 136
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.5667011375387797,
|
965 |
+
"grad_norm": 0.502416729927063,
|
966 |
+
"learning_rate": 8.589794190051582e-06,
|
967 |
+
"loss": 0.3647,
|
968 |
+
"step": 137
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.5708376421923474,
|
972 |
+
"grad_norm": 0.49979519844055176,
|
973 |
+
"learning_rate": 8.56578376631456e-06,
|
974 |
+
"loss": 0.3542,
|
975 |
+
"step": 138
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.5749741468459152,
|
979 |
+
"grad_norm": 0.4783455431461334,
|
980 |
+
"learning_rate": 8.541604834533159e-06,
|
981 |
+
"loss": 0.3577,
|
982 |
+
"step": 139
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.5791106514994829,
|
986 |
+
"grad_norm": 0.4866260886192322,
|
987 |
+
"learning_rate": 8.51725853732981e-06,
|
988 |
+
"loss": 0.3567,
|
989 |
+
"step": 140
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.5832471561530507,
|
993 |
+
"grad_norm": 0.480307012796402,
|
994 |
+
"learning_rate": 8.492746025236113e-06,
|
995 |
+
"loss": 0.335,
|
996 |
+
"step": 141
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.5873836608066184,
|
1000 |
+
"grad_norm": 0.4932575821876526,
|
1001 |
+
"learning_rate": 8.468068456638491e-06,
|
1002 |
+
"loss": 0.3411,
|
1003 |
+
"step": 142
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.5915201654601862,
|
1007 |
+
"grad_norm": 0.49242812395095825,
|
1008 |
+
"learning_rate": 8.443226997723426e-06,
|
1009 |
+
"loss": 0.3589,
|
1010 |
+
"step": 143
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.5956566701137539,
|
1014 |
+
"grad_norm": 0.5170210599899292,
|
1015 |
+
"learning_rate": 8.418222822422348e-06,
|
1016 |
+
"loss": 0.385,
|
1017 |
+
"step": 144
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.5997931747673216,
|
1021 |
+
"grad_norm": 0.45948079228401184,
|
1022 |
+
"learning_rate": 8.393057112356181e-06,
|
1023 |
+
"loss": 0.3502,
|
1024 |
+
"step": 145
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.6039296794208894,
|
1028 |
+
"grad_norm": 0.47525444626808167,
|
1029 |
+
"learning_rate": 8.367731056779476e-06,
|
1030 |
+
"loss": 0.3387,
|
1031 |
+
"step": 146
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.6080661840744571,
|
1035 |
+
"grad_norm": 0.4996655583381653,
|
1036 |
+
"learning_rate": 8.342245852524229e-06,
|
1037 |
+
"loss": 0.3243,
|
1038 |
+
"step": 147
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.6122026887280249,
|
1042 |
+
"grad_norm": 0.4717055559158325,
|
1043 |
+
"learning_rate": 8.316602703943315e-06,
|
1044 |
+
"loss": 0.3696,
|
1045 |
+
"step": 148
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.6163391933815926,
|
1049 |
+
"grad_norm": 0.5229761600494385,
|
1050 |
+
"learning_rate": 8.290802822853576e-06,
|
1051 |
+
"loss": 0.4026,
|
1052 |
+
"step": 149
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.6204756980351603,
|
1056 |
+
"grad_norm": 0.4920945465564728,
|
1057 |
+
"learning_rate": 8.26484742847855e-06,
|
1058 |
+
"loss": 0.3555,
|
1059 |
+
"step": 150
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.6246122026887281,
|
1063 |
+
"grad_norm": 0.416532963514328,
|
1064 |
+
"learning_rate": 8.238737747390859e-06,
|
1065 |
+
"loss": 0.3145,
|
1066 |
+
"step": 151
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.6287487073422957,
|
1070 |
+
"grad_norm": 0.4948025941848755,
|
1071 |
+
"learning_rate": 8.212475013454249e-06,
|
1072 |
+
"loss": 0.3603,
|
1073 |
+
"step": 152
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.6328852119958635,
|
1077 |
+
"grad_norm": 0.4692654013633728,
|
1078 |
+
"learning_rate": 8.186060467765268e-06,
|
1079 |
+
"loss": 0.3541,
|
1080 |
+
"step": 153
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.6370217166494312,
|
1084 |
+
"grad_norm": 0.4930100440979004,
|
1085 |
+
"learning_rate": 8.159495358594627e-06,
|
1086 |
+
"loss": 0.328,
|
1087 |
+
"step": 154
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.6411582213029989,
|
1091 |
+
"grad_norm": 0.46493637561798096,
|
1092 |
+
"learning_rate": 8.13278094132821e-06,
|
1093 |
+
"loss": 0.3514,
|
1094 |
+
"step": 155
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.6452947259565667,
|
1098 |
+
"grad_norm": 0.5059131383895874,
|
1099 |
+
"learning_rate": 8.10591847840774e-06,
|
1100 |
+
"loss": 0.3522,
|
1101 |
+
"step": 156
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.6494312306101344,
|
1105 |
+
"grad_norm": 0.5415008664131165,
|
1106 |
+
"learning_rate": 8.078909239271127e-06,
|
1107 |
+
"loss": 0.345,
|
1108 |
+
"step": 157
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.6535677352637022,
|
1112 |
+
"grad_norm": 0.49019861221313477,
|
1113 |
+
"learning_rate": 8.051754500292479e-06,
|
1114 |
+
"loss": 0.3526,
|
1115 |
+
"step": 158
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.6577042399172699,
|
1119 |
+
"grad_norm": 0.4391830563545227,
|
1120 |
+
"learning_rate": 8.024455544721778e-06,
|
1121 |
+
"loss": 0.3368,
|
1122 |
+
"step": 159
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.6618407445708376,
|
1126 |
+
"grad_norm": 0.5758143663406372,
|
1127 |
+
"learning_rate": 7.997013662624246e-06,
|
1128 |
+
"loss": 0.3606,
|
1129 |
+
"step": 160
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.6659772492244054,
|
1133 |
+
"grad_norm": 0.46434131264686584,
|
1134 |
+
"learning_rate": 7.969430150819372e-06,
|
1135 |
+
"loss": 0.3263,
|
1136 |
+
"step": 161
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.6701137538779731,
|
1140 |
+
"grad_norm": 0.5234054923057556,
|
1141 |
+
"learning_rate": 7.941706312819632e-06,
|
1142 |
+
"loss": 0.3635,
|
1143 |
+
"step": 162
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.6742502585315409,
|
1147 |
+
"grad_norm": 0.46102845668792725,
|
1148 |
+
"learning_rate": 7.913843458768892e-06,
|
1149 |
+
"loss": 0.3487,
|
1150 |
+
"step": 163
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.6783867631851086,
|
1154 |
+
"grad_norm": 0.505272388458252,
|
1155 |
+
"learning_rate": 7.88584290538049e-06,
|
1156 |
+
"loss": 0.3687,
|
1157 |
+
"step": 164
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.6825232678386763,
|
1161 |
+
"grad_norm": 0.5247129797935486,
|
1162 |
+
"learning_rate": 7.857705975875015e-06,
|
1163 |
+
"loss": 0.3575,
|
1164 |
+
"step": 165
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.6866597724922441,
|
1168 |
+
"grad_norm": 0.4995476007461548,
|
1169 |
+
"learning_rate": 7.829433999917773e-06,
|
1170 |
+
"loss": 0.3583,
|
1171 |
+
"step": 166
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.6907962771458118,
|
1175 |
+
"grad_norm": 0.478943407535553,
|
1176 |
+
"learning_rate": 7.801028313555954e-06,
|
1177 |
+
"loss": 0.3539,
|
1178 |
+
"step": 167
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.6949327817993796,
|
1182 |
+
"grad_norm": 0.4750828146934509,
|
1183 |
+
"learning_rate": 7.772490259155493e-06,
|
1184 |
+
"loss": 0.3317,
|
1185 |
+
"step": 168
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.6990692864529473,
|
1189 |
+
"grad_norm": 0.4754940867424011,
|
1190 |
+
"learning_rate": 7.743821185337634e-06,
|
1191 |
+
"loss": 0.3209,
|
1192 |
+
"step": 169
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.703205791106515,
|
1196 |
+
"grad_norm": 0.4950121343135834,
|
1197 |
+
"learning_rate": 7.715022446915195e-06,
|
1198 |
+
"loss": 0.3341,
|
1199 |
+
"step": 170
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.7073422957600828,
|
1203 |
+
"grad_norm": 0.48745468258857727,
|
1204 |
+
"learning_rate": 7.686095404828552e-06,
|
1205 |
+
"loss": 0.3602,
|
1206 |
+
"step": 171
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.7114788004136504,
|
1210 |
+
"grad_norm": 0.48764947056770325,
|
1211 |
+
"learning_rate": 7.65704142608132e-06,
|
1212 |
+
"loss": 0.3624,
|
1213 |
+
"step": 172
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.7156153050672182,
|
1217 |
+
"grad_norm": 0.5114070773124695,
|
1218 |
+
"learning_rate": 7.627861883675748e-06,
|
1219 |
+
"loss": 0.3449,
|
1220 |
+
"step": 173
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.7197518097207859,
|
1224 |
+
"grad_norm": 0.4847152829170227,
|
1225 |
+
"learning_rate": 7.598558156547842e-06,
|
1226 |
+
"loss": 0.3318,
|
1227 |
+
"step": 174
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.7238883143743536,
|
1231 |
+
"grad_norm": 0.5162774920463562,
|
1232 |
+
"learning_rate": 7.569131629502201e-06,
|
1233 |
+
"loss": 0.3539,
|
1234 |
+
"step": 175
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.7280248190279214,
|
1238 |
+
"grad_norm": 0.49352213740348816,
|
1239 |
+
"learning_rate": 7.53958369314657e-06,
|
1240 |
+
"loss": 0.3504,
|
1241 |
+
"step": 176
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.7321613236814891,
|
1245 |
+
"grad_norm": 0.4514661133289337,
|
1246 |
+
"learning_rate": 7.509915743826128e-06,
|
1247 |
+
"loss": 0.3602,
|
1248 |
+
"step": 177
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.7362978283350569,
|
1252 |
+
"grad_norm": 0.5056818127632141,
|
1253 |
+
"learning_rate": 7.480129183557499e-06,
|
1254 |
+
"loss": 0.3511,
|
1255 |
+
"step": 178
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.7404343329886246,
|
1259 |
+
"grad_norm": 0.5009995102882385,
|
1260 |
+
"learning_rate": 7.450225419962498e-06,
|
1261 |
+
"loss": 0.3299,
|
1262 |
+
"step": 179
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.7445708376421923,
|
1266 |
+
"grad_norm": 0.5529451966285706,
|
1267 |
+
"learning_rate": 7.4202058662016155e-06,
|
1268 |
+
"loss": 0.3605,
|
1269 |
+
"step": 180
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.7487073422957601,
|
1273 |
+
"grad_norm": 0.5108004212379456,
|
1274 |
+
"learning_rate": 7.390071940907222e-06,
|
1275 |
+
"loss": 0.3497,
|
1276 |
+
"step": 181
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.7528438469493278,
|
1280 |
+
"grad_norm": 0.45150938630104065,
|
1281 |
+
"learning_rate": 7.3598250681165485e-06,
|
1282 |
+
"loss": 0.347,
|
1283 |
+
"step": 182
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.7569803516028956,
|
1287 |
+
"grad_norm": 0.49005162715911865,
|
1288 |
+
"learning_rate": 7.329466677204371e-06,
|
1289 |
+
"loss": 0.3485,
|
1290 |
+
"step": 183
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.7611168562564633,
|
1294 |
+
"grad_norm": 0.4927361011505127,
|
1295 |
+
"learning_rate": 7.298998202815474e-06,
|
1296 |
+
"loss": 0.3432,
|
1297 |
+
"step": 184
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.765253360910031,
|
1301 |
+
"grad_norm": 0.48336061835289,
|
1302 |
+
"learning_rate": 7.268421084796852e-06,
|
1303 |
+
"loss": 0.3443,
|
1304 |
+
"step": 185
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.7693898655635988,
|
1308 |
+
"grad_norm": 0.48736652731895447,
|
1309 |
+
"learning_rate": 7.237736768129663e-06,
|
1310 |
+
"loss": 0.3418,
|
1311 |
+
"step": 186
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.7735263702171665,
|
1315 |
+
"grad_norm": 0.4602266252040863,
|
1316 |
+
"learning_rate": 7.206946702860948e-06,
|
1317 |
+
"loss": 0.3322,
|
1318 |
+
"step": 187
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.7776628748707343,
|
1322 |
+
"grad_norm": 0.4475662410259247,
|
1323 |
+
"learning_rate": 7.176052344035101e-06,
|
1324 |
+
"loss": 0.3519,
|
1325 |
+
"step": 188
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.781799379524302,
|
1329 |
+
"grad_norm": 0.46669697761535645,
|
1330 |
+
"learning_rate": 7.145055151625113e-06,
|
1331 |
+
"loss": 0.3623,
|
1332 |
+
"step": 189
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.7859358841778697,
|
1336 |
+
"grad_norm": 0.4729274809360504,
|
1337 |
+
"learning_rate": 7.1139565904635755e-06,
|
1338 |
+
"loss": 0.3517,
|
1339 |
+
"step": 190
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.7900723888314375,
|
1343 |
+
"grad_norm": 0.49703437089920044,
|
1344 |
+
"learning_rate": 7.082758130173456e-06,
|
1345 |
+
"loss": 0.3732,
|
1346 |
+
"step": 191
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.7942088934850051,
|
1350 |
+
"grad_norm": 0.5119916200637817,
|
1351 |
+
"learning_rate": 7.051461245098654e-06,
|
1352 |
+
"loss": 0.3421,
|
1353 |
+
"step": 192
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.7983453981385729,
|
1357 |
+
"grad_norm": 0.4503278434276581,
|
1358 |
+
"learning_rate": 7.020067414234315e-06,
|
1359 |
+
"loss": 0.3342,
|
1360 |
+
"step": 193
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.8024819027921406,
|
1364 |
+
"grad_norm": 0.46572044491767883,
|
1365 |
+
"learning_rate": 6.988578121156956e-06,
|
1366 |
+
"loss": 0.3314,
|
1367 |
+
"step": 194
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.8066184074457083,
|
1371 |
+
"grad_norm": 0.49221017956733704,
|
1372 |
+
"learning_rate": 6.956994853954342e-06,
|
1373 |
+
"loss": 0.3634,
|
1374 |
+
"step": 195
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.8107549120992761,
|
1378 |
+
"grad_norm": 0.5337055921554565,
|
1379 |
+
"learning_rate": 6.925319105155165e-06,
|
1380 |
+
"loss": 0.346,
|
1381 |
+
"step": 196
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.8148914167528438,
|
1385 |
+
"grad_norm": 0.4575997591018677,
|
1386 |
+
"learning_rate": 6.8935523716585195e-06,
|
1387 |
+
"loss": 0.3538,
|
1388 |
+
"step": 197
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.8190279214064116,
|
1392 |
+
"grad_norm": 0.5041812062263489,
|
1393 |
+
"learning_rate": 6.8616961546631575e-06,
|
1394 |
+
"loss": 0.3548,
|
1395 |
+
"step": 198
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.8231644260599793,
|
1399 |
+
"grad_norm": 0.4733670651912689,
|
1400 |
+
"learning_rate": 6.829751959596544e-06,
|
1401 |
+
"loss": 0.3414,
|
1402 |
+
"step": 199
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.827300930713547,
|
1406 |
+
"grad_norm": 0.48330968618392944,
|
1407 |
+
"learning_rate": 6.797721296043727e-06,
|
1408 |
+
"loss": 0.325,
|
1409 |
+
"step": 200
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.8314374353671148,
|
1413 |
+
"grad_norm": 0.4963349997997284,
|
1414 |
+
"learning_rate": 6.765605677675982e-06,
|
1415 |
+
"loss": 0.3858,
|
1416 |
+
"step": 201
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.8355739400206825,
|
1420 |
+
"grad_norm": 0.5333994626998901,
|
1421 |
+
"learning_rate": 6.733406622179295e-06,
|
1422 |
+
"loss": 0.3538,
|
1423 |
+
"step": 202
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.8397104446742503,
|
1427 |
+
"grad_norm": 0.4624415338039398,
|
1428 |
+
"learning_rate": 6.701125651182631e-06,
|
1429 |
+
"loss": 0.3025,
|
1430 |
+
"step": 203
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.843846949327818,
|
1434 |
+
"grad_norm": 0.45845648646354675,
|
1435 |
+
"learning_rate": 6.668764290186039e-06,
|
1436 |
+
"loss": 0.3458,
|
1437 |
+
"step": 204
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.8479834539813857,
|
1441 |
+
"grad_norm": 0.5057909488677979,
|
1442 |
+
"learning_rate": 6.6363240684885465e-06,
|
1443 |
+
"loss": 0.33,
|
1444 |
+
"step": 205
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.8521199586349535,
|
1448 |
+
"grad_norm": 0.5474227666854858,
|
1449 |
+
"learning_rate": 6.603806519115899e-06,
|
1450 |
+
"loss": 0.3386,
|
1451 |
+
"step": 206
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.8562564632885212,
|
1455 |
+
"grad_norm": 0.5117132067680359,
|
1456 |
+
"learning_rate": 6.571213178748112e-06,
|
1457 |
+
"loss": 0.3775,
|
1458 |
+
"step": 207
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.860392967942089,
|
1462 |
+
"grad_norm": 0.4669731557369232,
|
1463 |
+
"learning_rate": 6.538545587646854e-06,
|
1464 |
+
"loss": 0.3575,
|
1465 |
+
"step": 208
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.8645294725956567,
|
1469 |
+
"grad_norm": 0.4318840503692627,
|
1470 |
+
"learning_rate": 6.50580528958265e-06,
|
1471 |
+
"loss": 0.3201,
|
1472 |
+
"step": 209
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.8686659772492245,
|
1476 |
+
"grad_norm": 0.5034843683242798,
|
1477 |
+
"learning_rate": 6.47299383176194e-06,
|
1478 |
+
"loss": 0.3169,
|
1479 |
+
"step": 210
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.8728024819027922,
|
1483 |
+
"grad_norm": 0.5146070122718811,
|
1484 |
+
"learning_rate": 6.440112764753956e-06,
|
1485 |
+
"loss": 0.3653,
|
1486 |
+
"step": 211
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.8769389865563598,
|
1490 |
+
"grad_norm": 0.49277129769325256,
|
1491 |
+
"learning_rate": 6.4071636424174435e-06,
|
1492 |
+
"loss": 0.3485,
|
1493 |
+
"step": 212
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.8810754912099276,
|
1497 |
+
"grad_norm": 0.4620700776576996,
|
1498 |
+
"learning_rate": 6.374148021827237e-06,
|
1499 |
+
"loss": 0.3525,
|
1500 |
+
"step": 213
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.8852119958634953,
|
1504 |
+
"grad_norm": 0.5235023498535156,
|
1505 |
+
"learning_rate": 6.341067463200678e-06,
|
1506 |
+
"loss": 0.3638,
|
1507 |
+
"step": 214
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.889348500517063,
|
1511 |
+
"grad_norm": 0.4999266564846039,
|
1512 |
+
"learning_rate": 6.307923529823876e-06,
|
1513 |
+
"loss": 0.3692,
|
1514 |
+
"step": 215
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.8934850051706308,
|
1518 |
+
"grad_norm": 0.46116530895233154,
|
1519 |
+
"learning_rate": 6.2747177879778424e-06,
|
1520 |
+
"loss": 0.3316,
|
1521 |
+
"step": 216
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.8976215098241985,
|
1525 |
+
"grad_norm": 0.4651578664779663,
|
1526 |
+
"learning_rate": 6.241451806864465e-06,
|
1527 |
+
"loss": 0.3176,
|
1528 |
+
"step": 217
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 0.9017580144777663,
|
1532 |
+
"grad_norm": 0.45744726061820984,
|
1533 |
+
"learning_rate": 6.208127158532358e-06,
|
1534 |
+
"loss": 0.3261,
|
1535 |
+
"step": 218
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.905894519131334,
|
1539 |
+
"grad_norm": 0.4478837549686432,
|
1540 |
+
"learning_rate": 6.174745417802563e-06,
|
1541 |
+
"loss": 0.3357,
|
1542 |
+
"step": 219
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.9100310237849017,
|
1546 |
+
"grad_norm": 0.49428898096084595,
|
1547 |
+
"learning_rate": 6.141308162194141e-06,
|
1548 |
+
"loss": 0.321,
|
1549 |
+
"step": 220
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.9141675284384695,
|
1553 |
+
"grad_norm": 0.4366098642349243,
|
1554 |
+
"learning_rate": 6.1078169718496164e-06,
|
1555 |
+
"loss": 0.3132,
|
1556 |
+
"step": 221
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.9183040330920372,
|
1560 |
+
"grad_norm": 0.5066491365432739,
|
1561 |
+
"learning_rate": 6.074273429460296e-06,
|
1562 |
+
"loss": 0.3342,
|
1563 |
+
"step": 222
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.922440537745605,
|
1567 |
+
"grad_norm": 0.4254951775074005,
|
1568 |
+
"learning_rate": 6.040679120191491e-06,
|
1569 |
+
"loss": 0.3089,
|
1570 |
+
"step": 223
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 0.9265770423991727,
|
1574 |
+
"grad_norm": 0.46807774901390076,
|
1575 |
+
"learning_rate": 6.007035631607605e-06,
|
1576 |
+
"loss": 0.3182,
|
1577 |
+
"step": 224
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.9307135470527405,
|
1581 |
+
"grad_norm": 0.4610796570777893,
|
1582 |
+
"learning_rate": 5.9733445535970915e-06,
|
1583 |
+
"loss": 0.3239,
|
1584 |
+
"step": 225
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.9348500517063082,
|
1588 |
+
"grad_norm": 0.5245600342750549,
|
1589 |
+
"learning_rate": 5.939607478297347e-06,
|
1590 |
+
"loss": 0.3818,
|
1591 |
+
"step": 226
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.9389865563598759,
|
1595 |
+
"grad_norm": 0.45463472604751587,
|
1596 |
+
"learning_rate": 5.905826000019458e-06,
|
1597 |
+
"loss": 0.3109,
|
1598 |
+
"step": 227
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.9431230610134437,
|
1602 |
+
"grad_norm": 0.46084877848625183,
|
1603 |
+
"learning_rate": 5.8720017151728526e-06,
|
1604 |
+
"loss": 0.3475,
|
1605 |
+
"step": 228
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.9472595656670114,
|
1609 |
+
"grad_norm": 0.46296611428260803,
|
1610 |
+
"learning_rate": 5.838136222189874e-06,
|
1611 |
+
"loss": 0.3343,
|
1612 |
+
"step": 229
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 0.9513960703205792,
|
1616 |
+
"grad_norm": 0.458286315202713,
|
1617 |
+
"learning_rate": 5.804231121450235e-06,
|
1618 |
+
"loss": 0.3454,
|
1619 |
+
"step": 230
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.9555325749741469,
|
1623 |
+
"grad_norm": 0.42349058389663696,
|
1624 |
+
"learning_rate": 5.770288015205385e-06,
|
1625 |
+
"loss": 0.329,
|
1626 |
+
"step": 231
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.9596690796277145,
|
1630 |
+
"grad_norm": 0.4541251063346863,
|
1631 |
+
"learning_rate": 5.736308507502805e-06,
|
1632 |
+
"loss": 0.3296,
|
1633 |
+
"step": 232
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.9638055842812823,
|
1637 |
+
"grad_norm": 0.4887123107910156,
|
1638 |
+
"learning_rate": 5.702294204110191e-06,
|
1639 |
+
"loss": 0.3374,
|
1640 |
+
"step": 233
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.96794208893485,
|
1644 |
+
"grad_norm": 0.46135684847831726,
|
1645 |
+
"learning_rate": 5.668246712439579e-06,
|
1646 |
+
"loss": 0.3426,
|
1647 |
+
"step": 234
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.9720785935884177,
|
1651 |
+
"grad_norm": 0.4848094582557678,
|
1652 |
+
"learning_rate": 5.634167641471383e-06,
|
1653 |
+
"loss": 0.3626,
|
1654 |
+
"step": 235
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 0.9762150982419855,
|
1658 |
+
"grad_norm": 0.4424203932285309,
|
1659 |
+
"learning_rate": 5.600058601678357e-06,
|
1660 |
+
"loss": 0.302,
|
1661 |
+
"step": 236
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.9803516028955532,
|
1665 |
+
"grad_norm": 0.46382346749305725,
|
1666 |
+
"learning_rate": 5.5659212049494915e-06,
|
1667 |
+
"loss": 0.3357,
|
1668 |
+
"step": 237
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 0.984488107549121,
|
1672 |
+
"grad_norm": 0.4296742379665375,
|
1673 |
+
"learning_rate": 5.531757064513837e-06,
|
1674 |
+
"loss": 0.3162,
|
1675 |
+
"step": 238
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.9886246122026887,
|
1679 |
+
"grad_norm": 0.42605388164520264,
|
1680 |
+
"learning_rate": 5.4975677948642704e-06,
|
1681 |
+
"loss": 0.3204,
|
1682 |
+
"step": 239
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 0.9927611168562565,
|
1686 |
+
"grad_norm": 0.4539097547531128,
|
1687 |
+
"learning_rate": 5.4633550116812e-06,
|
1688 |
+
"loss": 0.327,
|
1689 |
+
"step": 240
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.9968976215098242,
|
1693 |
+
"grad_norm": 0.4806179404258728,
|
1694 |
+
"learning_rate": 5.429120331756208e-06,
|
1695 |
+
"loss": 0.3469,
|
1696 |
+
"step": 241
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 1.001034126163392,
|
1700 |
+
"grad_norm": 0.4494527280330658,
|
1701 |
+
"learning_rate": 5.394865372915656e-06,
|
1702 |
+
"loss": 0.3304,
|
1703 |
+
"step": 242
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 1.0051706308169597,
|
1707 |
+
"grad_norm": 0.5063448548316956,
|
1708 |
+
"learning_rate": 5.360591753944221e-06,
|
1709 |
+
"loss": 0.2792,
|
1710 |
+
"step": 243
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 1.0093071354705274,
|
1714 |
+
"grad_norm": 0.47153183817863464,
|
1715 |
+
"learning_rate": 5.3263010945083994e-06,
|
1716 |
+
"loss": 0.2593,
|
1717 |
+
"step": 244
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 1.0134436401240952,
|
1721 |
+
"grad_norm": 0.5729573369026184,
|
1722 |
+
"learning_rate": 5.291995015079969e-06,
|
1723 |
+
"loss": 0.2884,
|
1724 |
+
"step": 245
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 1.017580144777663,
|
1728 |
+
"grad_norm": 0.5748021602630615,
|
1729 |
+
"learning_rate": 5.257675136859415e-06,
|
1730 |
+
"loss": 0.2852,
|
1731 |
+
"step": 246
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 1.0217166494312306,
|
1735 |
+
"grad_norm": 0.49926644563674927,
|
1736 |
+
"learning_rate": 5.223343081699302e-06,
|
1737 |
+
"loss": 0.2947,
|
1738 |
+
"step": 247
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 1.0258531540847984,
|
1742 |
+
"grad_norm": 0.5036705732345581,
|
1743 |
+
"learning_rate": 5.189000472027645e-06,
|
1744 |
+
"loss": 0.2747,
|
1745 |
+
"step": 248
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 1.0299896587383661,
|
1749 |
+
"grad_norm": 0.557823896408081,
|
1750 |
+
"learning_rate": 5.1546489307712345e-06,
|
1751 |
+
"loss": 0.2724,
|
1752 |
+
"step": 249
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 1.0341261633919339,
|
1756 |
+
"grad_norm": 0.49561646580696106,
|
1757 |
+
"learning_rate": 5.1202900812789346e-06,
|
1758 |
+
"loss": 0.263,
|
1759 |
+
"step": 250
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 1.0382626680455016,
|
1763 |
+
"grad_norm": 0.46465885639190674,
|
1764 |
+
"learning_rate": 5.085925547244978e-06,
|
1765 |
+
"loss": 0.263,
|
1766 |
+
"step": 251
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 1.0423991726990693,
|
1770 |
+
"grad_norm": 0.5004085302352905,
|
1771 |
+
"learning_rate": 5.051556952632235e-06,
|
1772 |
+
"loss": 0.2831,
|
1773 |
+
"step": 252
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 1.046535677352637,
|
1777 |
+
"grad_norm": 0.5784794688224792,
|
1778 |
+
"learning_rate": 5.0171859215954575e-06,
|
1779 |
+
"loss": 0.2835,
|
1780 |
+
"step": 253
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 1.0506721820062048,
|
1784 |
+
"grad_norm": 0.4798305332660675,
|
1785 |
+
"learning_rate": 4.982814078404543e-06,
|
1786 |
+
"loss": 0.2382,
|
1787 |
+
"step": 254
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 1.0548086866597726,
|
1791 |
+
"grad_norm": 0.47284895181655884,
|
1792 |
+
"learning_rate": 4.948443047367767e-06,
|
1793 |
+
"loss": 0.2491,
|
1794 |
+
"step": 255
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 1.0589451913133403,
|
1798 |
+
"grad_norm": 0.4997791051864624,
|
1799 |
+
"learning_rate": 4.9140744527550225e-06,
|
1800 |
+
"loss": 0.2484,
|
1801 |
+
"step": 256
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 1.063081695966908,
|
1805 |
+
"grad_norm": 0.4812958836555481,
|
1806 |
+
"learning_rate": 4.879709918721067e-06,
|
1807 |
+
"loss": 0.2674,
|
1808 |
+
"step": 257
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 1.0672182006204758,
|
1812 |
+
"grad_norm": 0.4800451099872589,
|
1813 |
+
"learning_rate": 4.845351069228767e-06,
|
1814 |
+
"loss": 0.2625,
|
1815 |
+
"step": 258
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 1.0713547052740435,
|
1819 |
+
"grad_norm": 0.5013061165809631,
|
1820 |
+
"learning_rate": 4.8109995279723556e-06,
|
1821 |
+
"loss": 0.2739,
|
1822 |
+
"step": 259
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 1.0754912099276113,
|
1826 |
+
"grad_norm": 0.5202277898788452,
|
1827 |
+
"learning_rate": 4.776656918300699e-06,
|
1828 |
+
"loss": 0.2857,
|
1829 |
+
"step": 260
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 1.079627714581179,
|
1833 |
+
"grad_norm": 0.46747156977653503,
|
1834 |
+
"learning_rate": 4.742324863140587e-06,
|
1835 |
+
"loss": 0.2902,
|
1836 |
+
"step": 261
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 1.0837642192347468,
|
1840 |
+
"grad_norm": 0.4724840223789215,
|
1841 |
+
"learning_rate": 4.70800498492003e-06,
|
1842 |
+
"loss": 0.2845,
|
1843 |
+
"step": 262
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 1.0879007238883145,
|
1847 |
+
"grad_norm": 0.5077059864997864,
|
1848 |
+
"learning_rate": 4.673698905491602e-06,
|
1849 |
+
"loss": 0.297,
|
1850 |
+
"step": 263
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 1.092037228541882,
|
1854 |
+
"grad_norm": 0.4432675540447235,
|
1855 |
+
"learning_rate": 4.639408246055781e-06,
|
1856 |
+
"loss": 0.2286,
|
1857 |
+
"step": 264
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 1.0961737331954498,
|
1861 |
+
"grad_norm": 0.4326833188533783,
|
1862 |
+
"learning_rate": 4.605134627084345e-06,
|
1863 |
+
"loss": 0.2418,
|
1864 |
+
"step": 265
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 1.1003102378490175,
|
1868 |
+
"grad_norm": 0.4976271092891693,
|
1869 |
+
"learning_rate": 4.570879668243792e-06,
|
1870 |
+
"loss": 0.2825,
|
1871 |
+
"step": 266
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 1.1044467425025852,
|
1875 |
+
"grad_norm": 0.4635002613067627,
|
1876 |
+
"learning_rate": 4.536644988318802e-06,
|
1877 |
+
"loss": 0.2503,
|
1878 |
+
"step": 267
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 1.108583247156153,
|
1882 |
+
"grad_norm": 0.4908175766468048,
|
1883 |
+
"learning_rate": 4.502432205135731e-06,
|
1884 |
+
"loss": 0.298,
|
1885 |
+
"step": 268
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 1.1127197518097207,
|
1889 |
+
"grad_norm": 0.4961640238761902,
|
1890 |
+
"learning_rate": 4.468242935486164e-06,
|
1891 |
+
"loss": 0.2696,
|
1892 |
+
"step": 269
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 1.1168562564632885,
|
1896 |
+
"grad_norm": 0.49413740634918213,
|
1897 |
+
"learning_rate": 4.434078795050509e-06,
|
1898 |
+
"loss": 0.2938,
|
1899 |
+
"step": 270
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 1.1209927611168562,
|
1903 |
+
"grad_norm": 0.48604297637939453,
|
1904 |
+
"learning_rate": 4.3999413983216434e-06,
|
1905 |
+
"loss": 0.2884,
|
1906 |
+
"step": 271
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 1.125129265770424,
|
1910 |
+
"grad_norm": 0.4502314329147339,
|
1911 |
+
"learning_rate": 4.365832358528618e-06,
|
1912 |
+
"loss": 0.2514,
|
1913 |
+
"step": 272
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 1.1292657704239917,
|
1917 |
+
"grad_norm": 0.46243977546691895,
|
1918 |
+
"learning_rate": 4.331753287560423e-06,
|
1919 |
+
"loss": 0.2473,
|
1920 |
+
"step": 273
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 1.1334022750775594,
|
1924 |
+
"grad_norm": 0.48582252860069275,
|
1925 |
+
"learning_rate": 4.29770579588981e-06,
|
1926 |
+
"loss": 0.2926,
|
1927 |
+
"step": 274
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 1.1375387797311272,
|
1931 |
+
"grad_norm": 0.4945797622203827,
|
1932 |
+
"learning_rate": 4.263691492497197e-06,
|
1933 |
+
"loss": 0.2803,
|
1934 |
+
"step": 275
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 1.141675284384695,
|
1938 |
+
"grad_norm": 0.5017898082733154,
|
1939 |
+
"learning_rate": 4.229711984794614e-06,
|
1940 |
+
"loss": 0.2695,
|
1941 |
+
"step": 276
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 1.1458117890382626,
|
1945 |
+
"grad_norm": 0.44951367378234863,
|
1946 |
+
"learning_rate": 4.195768878549766e-06,
|
1947 |
+
"loss": 0.2548,
|
1948 |
+
"step": 277
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 1.1499482936918304,
|
1952 |
+
"grad_norm": 0.4264715611934662,
|
1953 |
+
"learning_rate": 4.161863777810128e-06,
|
1954 |
+
"loss": 0.2304,
|
1955 |
+
"step": 278
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 1.1540847983453981,
|
1959 |
+
"grad_norm": 0.4864782392978668,
|
1960 |
+
"learning_rate": 4.127998284827148e-06,
|
1961 |
+
"loss": 0.2883,
|
1962 |
+
"step": 279
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 1.1582213029989659,
|
1966 |
+
"grad_norm": 0.48877304792404175,
|
1967 |
+
"learning_rate": 4.094173999980544e-06,
|
1968 |
+
"loss": 0.2696,
|
1969 |
+
"step": 280
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 1.1623578076525336,
|
1973 |
+
"grad_norm": 0.4845278859138489,
|
1974 |
+
"learning_rate": 4.060392521702655e-06,
|
1975 |
+
"loss": 0.2696,
|
1976 |
+
"step": 281
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 1.1664943123061013,
|
1980 |
+
"grad_norm": 0.4687557816505432,
|
1981 |
+
"learning_rate": 4.026655446402912e-06,
|
1982 |
+
"loss": 0.2242,
|
1983 |
+
"step": 282
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 1.170630816959669,
|
1987 |
+
"grad_norm": 0.4510751962661743,
|
1988 |
+
"learning_rate": 3.9929643683923965e-06,
|
1989 |
+
"loss": 0.2534,
|
1990 |
+
"step": 283
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 1.1747673216132368,
|
1994 |
+
"grad_norm": 0.456969678401947,
|
1995 |
+
"learning_rate": 3.9593208798085094e-06,
|
1996 |
+
"loss": 0.239,
|
1997 |
+
"step": 284
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 1.1789038262668046,
|
2001 |
+
"grad_norm": 0.5285021066665649,
|
2002 |
+
"learning_rate": 3.9257265705397065e-06,
|
2003 |
+
"loss": 0.2706,
|
2004 |
+
"step": 285
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 1.1830403309203723,
|
2008 |
+
"grad_norm": 0.5108174085617065,
|
2009 |
+
"learning_rate": 3.892183028150384e-06,
|
2010 |
+
"loss": 0.292,
|
2011 |
+
"step": 286
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 1.18717683557394,
|
2015 |
+
"grad_norm": 0.4737439751625061,
|
2016 |
+
"learning_rate": 3.8586918378058595e-06,
|
2017 |
+
"loss": 0.2666,
|
2018 |
+
"step": 287
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 1.1913133402275078,
|
2022 |
+
"grad_norm": 0.46854445338249207,
|
2023 |
+
"learning_rate": 3.8252545821974385e-06,
|
2024 |
+
"loss": 0.2473,
|
2025 |
+
"step": 288
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 1.1954498448810755,
|
2029 |
+
"grad_norm": 0.5152525305747986,
|
2030 |
+
"learning_rate": 3.791872841467643e-06,
|
2031 |
+
"loss": 0.2787,
|
2032 |
+
"step": 289
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 1.1995863495346433,
|
2036 |
+
"grad_norm": 0.4602268636226654,
|
2037 |
+
"learning_rate": 3.758548193135536e-06,
|
2038 |
+
"loss": 0.2447,
|
2039 |
+
"step": 290
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 1.203722854188211,
|
2043 |
+
"grad_norm": 0.4676779806613922,
|
2044 |
+
"learning_rate": 3.7252822120221592e-06,
|
2045 |
+
"loss": 0.2715,
|
2046 |
+
"step": 291
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 1.2078593588417788,
|
2050 |
+
"grad_norm": 0.48289844393730164,
|
2051 |
+
"learning_rate": 3.6920764701761263e-06,
|
2052 |
+
"loss": 0.283,
|
2053 |
+
"step": 292
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 1.2119958634953465,
|
2057 |
+
"grad_norm": 0.4726490080356598,
|
2058 |
+
"learning_rate": 3.6589325367993243e-06,
|
2059 |
+
"loss": 0.2807,
|
2060 |
+
"step": 293
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 1.2161323681489142,
|
2064 |
+
"grad_norm": 0.5170783996582031,
|
2065 |
+
"learning_rate": 3.625851978172765e-06,
|
2066 |
+
"loss": 0.2636,
|
2067 |
+
"step": 294
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 1.220268872802482,
|
2071 |
+
"grad_norm": 0.46776092052459717,
|
2072 |
+
"learning_rate": 3.59283635758256e-06,
|
2073 |
+
"loss": 0.2457,
|
2074 |
+
"step": 295
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 1.2244053774560497,
|
2078 |
+
"grad_norm": 0.45310357213020325,
|
2079 |
+
"learning_rate": 3.5598872352460457e-06,
|
2080 |
+
"loss": 0.2538,
|
2081 |
+
"step": 296
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 1.2285418821096175,
|
2085 |
+
"grad_norm": 0.4700476825237274,
|
2086 |
+
"learning_rate": 3.527006168238061e-06,
|
2087 |
+
"loss": 0.2722,
|
2088 |
+
"step": 297
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 1.2326783867631852,
|
2092 |
+
"grad_norm": 0.4869045913219452,
|
2093 |
+
"learning_rate": 3.4941947104173514e-06,
|
2094 |
+
"loss": 0.2695,
|
2095 |
+
"step": 298
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 1.236814891416753,
|
2099 |
+
"grad_norm": 0.4840319752693176,
|
2100 |
+
"learning_rate": 3.4614544123531476e-06,
|
2101 |
+
"loss": 0.2671,
|
2102 |
+
"step": 299
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 1.2409513960703205,
|
2106 |
+
"grad_norm": 0.4536275565624237,
|
2107 |
+
"learning_rate": 3.428786821251888e-06,
|
2108 |
+
"loss": 0.2512,
|
2109 |
+
"step": 300
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 1.2450879007238882,
|
2113 |
+
"grad_norm": 0.4808495342731476,
|
2114 |
+
"learning_rate": 3.3961934808841023e-06,
|
2115 |
+
"loss": 0.2531,
|
2116 |
+
"step": 301
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 1.249224405377456,
|
2120 |
+
"grad_norm": 0.48514485359191895,
|
2121 |
+
"learning_rate": 3.363675931511455e-06,
|
2122 |
+
"loss": 0.2695,
|
2123 |
+
"step": 302
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 1.2533609100310237,
|
2127 |
+
"grad_norm": 0.48374173045158386,
|
2128 |
+
"learning_rate": 3.331235709813962e-06,
|
2129 |
+
"loss": 0.2706,
|
2130 |
+
"step": 303
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 1.2574974146845914,
|
2134 |
+
"grad_norm": 0.4591769278049469,
|
2135 |
+
"learning_rate": 3.29887434881737e-06,
|
2136 |
+
"loss": 0.2578,
|
2137 |
+
"step": 304
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 1.2616339193381592,
|
2141 |
+
"grad_norm": 0.4645506739616394,
|
2142 |
+
"learning_rate": 3.2665933778207082e-06,
|
2143 |
+
"loss": 0.2717,
|
2144 |
+
"step": 305
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 1.265770423991727,
|
2148 |
+
"grad_norm": 0.5053009986877441,
|
2149 |
+
"learning_rate": 3.234394322324019e-06,
|
2150 |
+
"loss": 0.2713,
|
2151 |
+
"step": 306
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 1.2699069286452946,
|
2155 |
+
"grad_norm": 0.46575117111206055,
|
2156 |
+
"learning_rate": 3.2022787039562745e-06,
|
2157 |
+
"loss": 0.2445,
|
2158 |
+
"step": 307
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 1.2740434332988624,
|
2162 |
+
"grad_norm": 0.4733026623725891,
|
2163 |
+
"learning_rate": 3.170248040403457e-06,
|
2164 |
+
"loss": 0.2602,
|
2165 |
+
"step": 308
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 1.2781799379524301,
|
2169 |
+
"grad_norm": 0.4547727406024933,
|
2170 |
+
"learning_rate": 3.138303845336844e-06,
|
2171 |
+
"loss": 0.2545,
|
2172 |
+
"step": 309
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 1.2823164426059979,
|
2176 |
+
"grad_norm": 0.5043481588363647,
|
2177 |
+
"learning_rate": 3.1064476283414818e-06,
|
2178 |
+
"loss": 0.2848,
|
2179 |
+
"step": 310
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 1.2864529472595656,
|
2183 |
+
"grad_norm": 0.49556779861450195,
|
2184 |
+
"learning_rate": 3.074680894844837e-06,
|
2185 |
+
"loss": 0.2659,
|
2186 |
+
"step": 311
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 1.2905894519131333,
|
2190 |
+
"grad_norm": 0.4662742614746094,
|
2191 |
+
"learning_rate": 3.04300514604566e-06,
|
2192 |
+
"loss": 0.2696,
|
2193 |
+
"step": 312
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 1.294725956566701,
|
2197 |
+
"grad_norm": 0.46650293469429016,
|
2198 |
+
"learning_rate": 3.011421878843044e-06,
|
2199 |
+
"loss": 0.2573,
|
2200 |
+
"step": 313
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 1.2988624612202688,
|
2204 |
+
"grad_norm": 0.471865177154541,
|
2205 |
+
"learning_rate": 2.9799325857656856e-06,
|
2206 |
+
"loss": 0.2598,
|
2207 |
+
"step": 314
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 1.3029989658738366,
|
2211 |
+
"grad_norm": 0.49665728211402893,
|
2212 |
+
"learning_rate": 2.948538754901349e-06,
|
2213 |
+
"loss": 0.285,
|
2214 |
+
"step": 315
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 1.3071354705274043,
|
2218 |
+
"grad_norm": 0.47322675585746765,
|
2219 |
+
"learning_rate": 2.917241869826545e-06,
|
2220 |
+
"loss": 0.2523,
|
2221 |
+
"step": 316
|
2222 |
+
},
|
2223 |
+
{
|
2224 |
+
"epoch": 1.311271975180972,
|
2225 |
+
"grad_norm": 0.4811559021472931,
|
2226 |
+
"learning_rate": 2.8860434095364266e-06,
|
2227 |
+
"loss": 0.2762,
|
2228 |
+
"step": 317
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 1.3154084798345398,
|
2232 |
+
"grad_norm": 0.48528894782066345,
|
2233 |
+
"learning_rate": 2.8549448483748888e-06,
|
2234 |
+
"loss": 0.2812,
|
2235 |
+
"step": 318
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 1.3195449844881075,
|
2239 |
+
"grad_norm": 0.47023531794548035,
|
2240 |
+
"learning_rate": 2.8239476559649013e-06,
|
2241 |
+
"loss": 0.2857,
|
2242 |
+
"step": 319
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"epoch": 1.3236814891416753,
|
2246 |
+
"grad_norm": 0.4679359793663025,
|
2247 |
+
"learning_rate": 2.7930532971390543e-06,
|
2248 |
+
"loss": 0.2639,
|
2249 |
+
"step": 320
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 1.327817993795243,
|
2253 |
+
"grad_norm": 0.4885619580745697,
|
2254 |
+
"learning_rate": 2.762263231870339e-06,
|
2255 |
+
"loss": 0.2919,
|
2256 |
+
"step": 321
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 1.3319544984488108,
|
2260 |
+
"grad_norm": 0.4528388977050781,
|
2261 |
+
"learning_rate": 2.7315789152031504e-06,
|
2262 |
+
"loss": 0.2491,
|
2263 |
+
"step": 322
|
2264 |
+
},
|
2265 |
+
{
|
2266 |
+
"epoch": 1.3360910031023785,
|
2267 |
+
"grad_norm": 0.43351301550865173,
|
2268 |
+
"learning_rate": 2.7010017971845267e-06,
|
2269 |
+
"loss": 0.2334,
|
2270 |
+
"step": 323
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 1.3402275077559462,
|
2274 |
+
"grad_norm": 0.4791943430900574,
|
2275 |
+
"learning_rate": 2.6705333227956304e-06,
|
2276 |
+
"loss": 0.2759,
|
2277 |
+
"step": 324
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 1.344364012409514,
|
2281 |
+
"grad_norm": 0.42758721113204956,
|
2282 |
+
"learning_rate": 2.6401749318834528e-06,
|
2283 |
+
"loss": 0.2574,
|
2284 |
+
"step": 325
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"epoch": 1.3485005170630817,
|
2288 |
+
"grad_norm": 0.4758831858634949,
|
2289 |
+
"learning_rate": 2.609928059092779e-06,
|
2290 |
+
"loss": 0.2459,
|
2291 |
+
"step": 326
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 1.3526370217166495,
|
2295 |
+
"grad_norm": 0.45820891857147217,
|
2296 |
+
"learning_rate": 2.579794133798388e-06,
|
2297 |
+
"loss": 0.2678,
|
2298 |
+
"step": 327
|
2299 |
+
},
|
2300 |
+
{
|
2301 |
+
"epoch": 1.3567735263702172,
|
2302 |
+
"grad_norm": 0.4830312132835388,
|
2303 |
+
"learning_rate": 2.549774580037504e-06,
|
2304 |
+
"loss": 0.2627,
|
2305 |
+
"step": 328
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 1.360910031023785,
|
2309 |
+
"grad_norm": 0.48166197538375854,
|
2310 |
+
"learning_rate": 2.5198708164425046e-06,
|
2311 |
+
"loss": 0.2524,
|
2312 |
+
"step": 329
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 1.3650465356773527,
|
2316 |
+
"grad_norm": 0.48581820726394653,
|
2317 |
+
"learning_rate": 2.4900842561738736e-06,
|
2318 |
+
"loss": 0.2527,
|
2319 |
+
"step": 330
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 1.3691830403309204,
|
2323 |
+
"grad_norm": 0.49055343866348267,
|
2324 |
+
"learning_rate": 2.4604163068534313e-06,
|
2325 |
+
"loss": 0.2541,
|
2326 |
+
"step": 331
|
2327 |
+
},
|
2328 |
+
{
|
2329 |
+
"epoch": 1.3733195449844882,
|
2330 |
+
"grad_norm": 0.4789126217365265,
|
2331 |
+
"learning_rate": 2.4308683704978e-06,
|
2332 |
+
"loss": 0.2597,
|
2333 |
+
"step": 332
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 1.377456049638056,
|
2337 |
+
"grad_norm": 0.5069748759269714,
|
2338 |
+
"learning_rate": 2.401441843452159e-06,
|
2339 |
+
"loss": 0.2842,
|
2340 |
+
"step": 333
|
2341 |
+
},
|
2342 |
+
{
|
2343 |
+
"epoch": 1.3815925542916236,
|
2344 |
+
"grad_norm": 0.49611082673072815,
|
2345 |
+
"learning_rate": 2.372138116324254e-06,
|
2346 |
+
"loss": 0.2648,
|
2347 |
+
"step": 334
|
2348 |
+
},
|
2349 |
+
{
|
2350 |
+
"epoch": 1.3857290589451914,
|
2351 |
+
"grad_norm": 0.4773513376712799,
|
2352 |
+
"learning_rate": 2.342958573918682e-06,
|
2353 |
+
"loss": 0.2846,
|
2354 |
+
"step": 335
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 1.3898655635987591,
|
2358 |
+
"grad_norm": 0.49834293127059937,
|
2359 |
+
"learning_rate": 2.3139045951714473e-06,
|
2360 |
+
"loss": 0.288,
|
2361 |
+
"step": 336
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 1.3940020682523269,
|
2365 |
+
"grad_norm": 0.46547529101371765,
|
2366 |
+
"learning_rate": 2.2849775530848057e-06,
|
2367 |
+
"loss": 0.242,
|
2368 |
+
"step": 337
|
2369 |
+
},
|
2370 |
+
{
|
2371 |
+
"epoch": 1.3981385729058946,
|
2372 |
+
"grad_norm": 0.46302109956741333,
|
2373 |
+
"learning_rate": 2.256178814662368e-06,
|
2374 |
+
"loss": 0.2553,
|
2375 |
+
"step": 338
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"epoch": 1.4022750775594623,
|
2379 |
+
"grad_norm": 0.5011090636253357,
|
2380 |
+
"learning_rate": 2.227509740844508e-06,
|
2381 |
+
"loss": 0.281,
|
2382 |
+
"step": 339
|
2383 |
+
},
|
2384 |
+
{
|
2385 |
+
"epoch": 1.40641158221303,
|
2386 |
+
"grad_norm": 0.43727773427963257,
|
2387 |
+
"learning_rate": 2.198971686444047e-06,
|
2388 |
+
"loss": 0.2409,
|
2389 |
+
"step": 340
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 1.4105480868665978,
|
2393 |
+
"grad_norm": 0.4928194582462311,
|
2394 |
+
"learning_rate": 2.1705660000822286e-06,
|
2395 |
+
"loss": 0.299,
|
2396 |
+
"step": 341
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 1.4146845915201656,
|
2400 |
+
"grad_norm": 0.4691973328590393,
|
2401 |
+
"learning_rate": 2.1422940241249875e-06,
|
2402 |
+
"loss": 0.2552,
|
2403 |
+
"step": 342
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 1.4188210961737333,
|
2407 |
+
"grad_norm": 0.4593028724193573,
|
2408 |
+
"learning_rate": 2.1141570946195106e-06,
|
2409 |
+
"loss": 0.255,
|
2410 |
+
"step": 343
|
2411 |
+
},
|
2412 |
+
{
|
2413 |
+
"epoch": 1.422957600827301,
|
2414 |
+
"grad_norm": 0.4884447753429413,
|
2415 |
+
"learning_rate": 2.086156541231109e-06,
|
2416 |
+
"loss": 0.2601,
|
2417 |
+
"step": 344
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 1.4270941054808688,
|
2421 |
+
"grad_norm": 0.5032863616943359,
|
2422 |
+
"learning_rate": 2.0582936871803692e-06,
|
2423 |
+
"loss": 0.2888,
|
2424 |
+
"step": 345
|
2425 |
+
},
|
2426 |
+
{
|
2427 |
+
"epoch": 1.4312306101344365,
|
2428 |
+
"grad_norm": 0.46444255113601685,
|
2429 |
+
"learning_rate": 2.0305698491806297e-06,
|
2430 |
+
"loss": 0.2402,
|
2431 |
+
"step": 346
|
2432 |
+
},
|
2433 |
+
{
|
2434 |
+
"epoch": 1.4353671147880043,
|
2435 |
+
"grad_norm": 0.4745306074619293,
|
2436 |
+
"learning_rate": 2.0029863373757553e-06,
|
2437 |
+
"loss": 0.2665,
|
2438 |
+
"step": 347
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 1.4395036194415718,
|
2442 |
+
"grad_norm": 0.4591853618621826,
|
2443 |
+
"learning_rate": 1.9755444552782228e-06,
|
2444 |
+
"loss": 0.2209,
|
2445 |
+
"step": 348
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 1.4436401240951395,
|
2449 |
+
"grad_norm": 0.4660813808441162,
|
2450 |
+
"learning_rate": 1.948245499707523e-06,
|
2451 |
+
"loss": 0.2559,
|
2452 |
+
"step": 349
|
2453 |
+
},
|
2454 |
+
{
|
2455 |
+
"epoch": 1.4477766287487073,
|
2456 |
+
"grad_norm": 0.4885343909263611,
|
2457 |
+
"learning_rate": 1.9210907607288728e-06,
|
2458 |
+
"loss": 0.281,
|
2459 |
+
"step": 350
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 1.451913133402275,
|
2463 |
+
"grad_norm": 0.4733608365058899,
|
2464 |
+
"learning_rate": 1.8940815215922609e-06,
|
2465 |
+
"loss": 0.2762,
|
2466 |
+
"step": 351
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"epoch": 1.4560496380558428,
|
2470 |
+
"grad_norm": 0.46303790807724,
|
2471 |
+
"learning_rate": 1.867219058671791e-06,
|
2472 |
+
"loss": 0.2626,
|
2473 |
+
"step": 352
|
2474 |
+
},
|
2475 |
+
{
|
2476 |
+
"epoch": 1.4601861427094105,
|
2477 |
+
"grad_norm": 0.4606141149997711,
|
2478 |
+
"learning_rate": 1.8405046414053728e-06,
|
2479 |
+
"loss": 0.2434,
|
2480 |
+
"step": 353
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 1.4643226473629782,
|
2484 |
+
"grad_norm": 0.4833987057209015,
|
2485 |
+
"learning_rate": 1.8139395322347335e-06,
|
2486 |
+
"loss": 0.2546,
|
2487 |
+
"step": 354
|
2488 |
+
},
|
2489 |
+
{
|
2490 |
+
"epoch": 1.468459152016546,
|
2491 |
+
"grad_norm": 0.44073909521102905,
|
2492 |
+
"learning_rate": 1.787524986545753e-06,
|
2493 |
+
"loss": 0.2511,
|
2494 |
+
"step": 355
|
2495 |
+
},
|
2496 |
+
{
|
2497 |
+
"epoch": 1.4725956566701137,
|
2498 |
+
"grad_norm": 0.45749855041503906,
|
2499 |
+
"learning_rate": 1.7612622526091406e-06,
|
2500 |
+
"loss": 0.2391,
|
2501 |
+
"step": 356
|
2502 |
+
},
|
2503 |
+
{
|
2504 |
+
"epoch": 1.4767321613236815,
|
2505 |
+
"grad_norm": 0.4941197633743286,
|
2506 |
+
"learning_rate": 1.7351525715214512e-06,
|
2507 |
+
"loss": 0.2607,
|
2508 |
+
"step": 357
|
2509 |
+
},
|
2510 |
+
{
|
2511 |
+
"epoch": 1.4808686659772492,
|
2512 |
+
"grad_norm": 0.4428948760032654,
|
2513 |
+
"learning_rate": 1.709197177146425e-06,
|
2514 |
+
"loss": 0.2477,
|
2515 |
+
"step": 358
|
2516 |
+
},
|
2517 |
+
{
|
2518 |
+
"epoch": 1.485005170630817,
|
2519 |
+
"grad_norm": 0.5241663455963135,
|
2520 |
+
"learning_rate": 1.6833972960566868e-06,
|
2521 |
+
"loss": 0.258,
|
2522 |
+
"step": 359
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 1.4891416752843847,
|
2526 |
+
"grad_norm": 0.48429349064826965,
|
2527 |
+
"learning_rate": 1.6577541474757712e-06,
|
2528 |
+
"loss": 0.2709,
|
2529 |
+
"step": 360
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 1.4932781799379524,
|
2533 |
+
"grad_norm": 0.49429482221603394,
|
2534 |
+
"learning_rate": 1.6322689432205252e-06,
|
2535 |
+
"loss": 0.2787,
|
2536 |
+
"step": 361
|
2537 |
+
},
|
2538 |
+
{
|
2539 |
+
"epoch": 1.4974146845915202,
|
2540 |
+
"grad_norm": 0.487251341342926,
|
2541 |
+
"learning_rate": 1.6069428876438203e-06,
|
2542 |
+
"loss": 0.2612,
|
2543 |
+
"step": 362
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 1.501551189245088,
|
2547 |
+
"grad_norm": 0.4490973949432373,
|
2548 |
+
"learning_rate": 1.5817771775776508e-06,
|
2549 |
+
"loss": 0.2516,
|
2550 |
+
"step": 363
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 1.5056876938986556,
|
2554 |
+
"grad_norm": 0.48428958654403687,
|
2555 |
+
"learning_rate": 1.5567730022765753e-06,
|
2556 |
+
"loss": 0.2773,
|
2557 |
+
"step": 364
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"epoch": 1.5098241985522234,
|
2561 |
+
"grad_norm": 0.4671989381313324,
|
2562 |
+
"learning_rate": 1.5319315433615101e-06,
|
2563 |
+
"loss": 0.267,
|
2564 |
+
"step": 365
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 1.5139607032057911,
|
2568 |
+
"grad_norm": 0.5202347636222839,
|
2569 |
+
"learning_rate": 1.5072539747638887e-06,
|
2570 |
+
"loss": 0.294,
|
2571 |
+
"step": 366
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 1.5180972078593589,
|
2575 |
+
"grad_norm": 0.45074182748794556,
|
2576 |
+
"learning_rate": 1.482741462670193e-06,
|
2577 |
+
"loss": 0.2363,
|
2578 |
+
"step": 367
|
2579 |
+
},
|
2580 |
+
{
|
2581 |
+
"epoch": 1.5222337125129266,
|
2582 |
+
"grad_norm": 0.5174707174301147,
|
2583 |
+
"learning_rate": 1.4583951654668416e-06,
|
2584 |
+
"loss": 0.2767,
|
2585 |
+
"step": 368
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 1.5263702171664943,
|
2589 |
+
"grad_norm": 0.4842411279678345,
|
2590 |
+
"learning_rate": 1.434216233685441e-06,
|
2591 |
+
"loss": 0.2858,
|
2592 |
+
"step": 369
|
2593 |
+
},
|
2594 |
+
{
|
2595 |
+
"epoch": 1.530506721820062,
|
2596 |
+
"grad_norm": 0.4314868450164795,
|
2597 |
+
"learning_rate": 1.4102058099484188e-06,
|
2598 |
+
"loss": 0.2356,
|
2599 |
+
"step": 370
|
2600 |
+
},
|
2601 |
+
{
|
2602 |
+
"epoch": 1.5346432264736298,
|
2603 |
+
"grad_norm": 0.47764474153518677,
|
2604 |
+
"learning_rate": 1.3863650289150338e-06,
|
2605 |
+
"loss": 0.2632,
|
2606 |
+
"step": 371
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 1.5387797311271976,
|
2610 |
+
"grad_norm": 0.4491686522960663,
|
2611 |
+
"learning_rate": 1.3626950172277398e-06,
|
2612 |
+
"loss": 0.2443,
|
2613 |
+
"step": 372
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 1.542916235780765,
|
2617 |
+
"grad_norm": 0.4948718249797821,
|
2618 |
+
"learning_rate": 1.3391968934589573e-06,
|
2619 |
+
"loss": 0.2772,
|
2620 |
+
"step": 373
|
2621 |
+
},
|
2622 |
+
{
|
2623 |
+
"epoch": 1.5470527404343328,
|
2624 |
+
"grad_norm": 0.4696827828884125,
|
2625 |
+
"learning_rate": 1.3158717680582128e-06,
|
2626 |
+
"loss": 0.2568,
|
2627 |
+
"step": 374
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 1.5511892450879006,
|
2631 |
+
"grad_norm": 0.43921521306037903,
|
2632 |
+
"learning_rate": 1.292720743299654e-06,
|
2633 |
+
"loss": 0.229,
|
2634 |
+
"step": 375
|
2635 |
+
},
|
2636 |
+
{
|
2637 |
+
"epoch": 1.5553257497414683,
|
2638 |
+
"grad_norm": 0.4529230296611786,
|
2639 |
+
"learning_rate": 1.2697449132299649e-06,
|
2640 |
+
"loss": 0.2445,
|
2641 |
+
"step": 376
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 1.559462254395036,
|
2645 |
+
"grad_norm": 0.4936879873275757,
|
2646 |
+
"learning_rate": 1.2469453636166645e-06,
|
2647 |
+
"loss": 0.2579,
|
2648 |
+
"step": 377
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 1.5635987590486038,
|
2652 |
+
"grad_norm": 0.48198625445365906,
|
2653 |
+
"learning_rate": 1.224323171896797e-06,
|
2654 |
+
"loss": 0.2542,
|
2655 |
+
"step": 378
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 1.5677352637021715,
|
2659 |
+
"grad_norm": 0.4886031448841095,
|
2660 |
+
"learning_rate": 1.201879407126012e-06,
|
2661 |
+
"loss": 0.2707,
|
2662 |
+
"step": 379
|
2663 |
+
},
|
2664 |
+
{
|
2665 |
+
"epoch": 1.5718717683557393,
|
2666 |
+
"grad_norm": 0.47718653082847595,
|
2667 |
+
"learning_rate": 1.1796151299280483e-06,
|
2668 |
+
"loss": 0.2747,
|
2669 |
+
"step": 380
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 1.576008273009307,
|
2673 |
+
"grad_norm": 0.46224093437194824,
|
2674 |
+
"learning_rate": 1.1575313924446123e-06,
|
2675 |
+
"loss": 0.247,
|
2676 |
+
"step": 381
|
2677 |
+
},
|
2678 |
+
{
|
2679 |
+
"epoch": 1.5801447776628748,
|
2680 |
+
"grad_norm": 0.4610908329486847,
|
2681 |
+
"learning_rate": 1.1356292382856531e-06,
|
2682 |
+
"loss": 0.2624,
|
2683 |
+
"step": 382
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 1.5842812823164425,
|
2687 |
+
"grad_norm": 0.46388930082321167,
|
2688 |
+
"learning_rate": 1.113909702480046e-06,
|
2689 |
+
"loss": 0.2485,
|
2690 |
+
"step": 383
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 1.5884177869700102,
|
2694 |
+
"grad_norm": 0.4562687575817108,
|
2695 |
+
"learning_rate": 1.0923738114266824e-06,
|
2696 |
+
"loss": 0.2503,
|
2697 |
+
"step": 384
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 1.592554291623578,
|
2701 |
+
"grad_norm": 0.44876885414123535,
|
2702 |
+
"learning_rate": 1.0710225828459642e-06,
|
2703 |
+
"loss": 0.2453,
|
2704 |
+
"step": 385
|
2705 |
+
},
|
2706 |
+
{
|
2707 |
+
"epoch": 1.5966907962771457,
|
2708 |
+
"grad_norm": 0.45502784848213196,
|
2709 |
+
"learning_rate": 1.0498570257317075e-06,
|
2710 |
+
"loss": 0.2595,
|
2711 |
+
"step": 386
|
2712 |
+
},
|
2713 |
+
{
|
2714 |
+
"epoch": 1.6008273009307135,
|
2715 |
+
"grad_norm": 0.47724854946136475,
|
2716 |
+
"learning_rate": 1.028878140303462e-06,
|
2717 |
+
"loss": 0.2541,
|
2718 |
+
"step": 387
|
2719 |
+
},
|
2720 |
+
{
|
2721 |
+
"epoch": 1.6049638055842812,
|
2722 |
+
"grad_norm": 0.45897573232650757,
|
2723 |
+
"learning_rate": 1.008086917959249e-06,
|
2724 |
+
"loss": 0.2628,
|
2725 |
+
"step": 388
|
2726 |
+
},
|
2727 |
+
{
|
2728 |
+
"epoch": 1.609100310237849,
|
2729 |
+
"grad_norm": 0.4865526258945465,
|
2730 |
+
"learning_rate": 9.874843412286994e-07,
|
2731 |
+
"loss": 0.2693,
|
2732 |
+
"step": 389
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 1.6132368148914167,
|
2736 |
+
"grad_norm": 0.46964144706726074,
|
2737 |
+
"learning_rate": 9.670713837266322e-07,
|
2738 |
+
"loss": 0.2498,
|
2739 |
+
"step": 390
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"epoch": 1.6173733195449844,
|
2743 |
+
"grad_norm": 0.42305079102516174,
|
2744 |
+
"learning_rate": 9.46849010107041e-07,
|
2745 |
+
"loss": 0.2262,
|
2746 |
+
"step": 391
|
2747 |
+
},
|
2748 |
+
{
|
2749 |
+
"epoch": 1.6215098241985522,
|
2750 |
+
"grad_norm": 0.4819132089614868,
|
2751 |
+
"learning_rate": 9.26818176017506e-07,
|
2752 |
+
"loss": 0.2617,
|
2753 |
+
"step": 392
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 1.62564632885212,
|
2757 |
+
"grad_norm": 0.4843488037586212,
|
2758 |
+
"learning_rate": 9.069798280540348e-07,
|
2759 |
+
"loss": 0.2636,
|
2760 |
+
"step": 393
|
2761 |
+
},
|
2762 |
+
{
|
2763 |
+
"epoch": 1.6297828335056876,
|
2764 |
+
"grad_norm": 0.4789119064807892,
|
2765 |
+
"learning_rate": 8.87334903716332e-07,
|
2766 |
+
"loss": 0.2869,
|
2767 |
+
"step": 394
|
2768 |
+
},
|
2769 |
+
{
|
2770 |
+
"epoch": 1.6339193381592554,
|
2771 |
+
"grad_norm": 0.42331403493881226,
|
2772 |
+
"learning_rate": 8.678843313634894e-07,
|
2773 |
+
"loss": 0.2192,
|
2774 |
+
"step": 395
|
2775 |
+
},
|
2776 |
+
{
|
2777 |
+
"epoch": 1.6380558428128231,
|
2778 |
+
"grad_norm": 0.45914411544799805,
|
2779 |
+
"learning_rate": 8.486290301701183e-07,
|
2780 |
+
"loss": 0.2654,
|
2781 |
+
"step": 396
|
2782 |
+
},
|
2783 |
+
{
|
2784 |
+
"epoch": 1.6421923474663909,
|
2785 |
+
"grad_norm": 0.4775830805301666,
|
2786 |
+
"learning_rate": 8.295699100829124e-07,
|
2787 |
+
"loss": 0.2434,
|
2788 |
+
"step": 397
|
2789 |
+
},
|
2790 |
+
{
|
2791 |
+
"epoch": 1.6463288521199586,
|
2792 |
+
"grad_norm": 0.5007808804512024,
|
2793 |
+
"learning_rate": 8.107078717776457e-07,
|
2794 |
+
"loss": 0.2697,
|
2795 |
+
"step": 398
|
2796 |
+
},
|
2797 |
+
{
|
2798 |
+
"epoch": 1.6504653567735263,
|
2799 |
+
"grad_norm": 0.4754742681980133,
|
2800 |
+
"learning_rate": 7.920438066166097e-07,
|
2801 |
+
"loss": 0.2626,
|
2802 |
+
"step": 399
|
2803 |
+
},
|
2804 |
+
{
|
2805 |
+
"epoch": 1.654601861427094,
|
2806 |
+
"grad_norm": 0.46346259117126465,
|
2807 |
+
"learning_rate": 7.735785966064885e-07,
|
2808 |
+
"loss": 0.2268,
|
2809 |
+
"step": 400
|
2810 |
+
},
|
2811 |
+
{
|
2812 |
+
"epoch": 1.6587383660806618,
|
2813 |
+
"grad_norm": 0.4413525462150574,
|
2814 |
+
"learning_rate": 7.553131143566822e-07,
|
2815 |
+
"loss": 0.2373,
|
2816 |
+
"step": 401
|
2817 |
+
},
|
2818 |
+
{
|
2819 |
+
"epoch": 1.6628748707342296,
|
2820 |
+
"grad_norm": 0.447625994682312,
|
2821 |
+
"learning_rate": 7.372482230380657e-07,
|
2822 |
+
"loss": 0.2546,
|
2823 |
+
"step": 402
|
2824 |
+
},
|
2825 |
+
{
|
2826 |
+
"epoch": 1.6670113753877973,
|
2827 |
+
"grad_norm": 0.4605792462825775,
|
2828 |
+
"learning_rate": 7.193847763421991e-07,
|
2829 |
+
"loss": 0.2656,
|
2830 |
+
"step": 403
|
2831 |
+
},
|
2832 |
+
{
|
2833 |
+
"epoch": 1.671147880041365,
|
2834 |
+
"grad_norm": 0.4576088786125183,
|
2835 |
+
"learning_rate": 7.017236184409859e-07,
|
2836 |
+
"loss": 0.2576,
|
2837 |
+
"step": 404
|
2838 |
+
},
|
2839 |
+
{
|
2840 |
+
"epoch": 1.6752843846949328,
|
2841 |
+
"grad_norm": 0.5075780153274536,
|
2842 |
+
"learning_rate": 6.842655839467787e-07,
|
2843 |
+
"loss": 0.3023,
|
2844 |
+
"step": 405
|
2845 |
+
},
|
2846 |
+
{
|
2847 |
+
"epoch": 1.6794208893485005,
|
2848 |
+
"grad_norm": 0.4650248885154724,
|
2849 |
+
"learning_rate": 6.670114978729392e-07,
|
2850 |
+
"loss": 0.2753,
|
2851 |
+
"step": 406
|
2852 |
+
},
|
2853 |
+
{
|
2854 |
+
"epoch": 1.6835573940020683,
|
2855 |
+
"grad_norm": 0.4480326175689697,
|
2856 |
+
"learning_rate": 6.499621755948487e-07,
|
2857 |
+
"loss": 0.2448,
|
2858 |
+
"step": 407
|
2859 |
+
},
|
2860 |
+
{
|
2861 |
+
"epoch": 1.687693898655636,
|
2862 |
+
"grad_norm": 0.48435285687446594,
|
2863 |
+
"learning_rate": 6.331184228113801e-07,
|
2864 |
+
"loss": 0.2729,
|
2865 |
+
"step": 408
|
2866 |
+
},
|
2867 |
+
{
|
2868 |
+
"epoch": 1.6918304033092038,
|
2869 |
+
"grad_norm": 0.4679297208786011,
|
2870 |
+
"learning_rate": 6.164810355068179e-07,
|
2871 |
+
"loss": 0.2394,
|
2872 |
+
"step": 409
|
2873 |
+
},
|
2874 |
+
{
|
2875 |
+
"epoch": 1.6959669079627715,
|
2876 |
+
"grad_norm": 0.5232973694801331,
|
2877 |
+
"learning_rate": 6.000507999132444e-07,
|
2878 |
+
"loss": 0.2761,
|
2879 |
+
"step": 410
|
2880 |
+
},
|
2881 |
+
{
|
2882 |
+
"epoch": 1.7001034126163392,
|
2883 |
+
"grad_norm": 0.43717169761657715,
|
2884 |
+
"learning_rate": 5.838284924733866e-07,
|
2885 |
+
"loss": 0.2476,
|
2886 |
+
"step": 411
|
2887 |
+
},
|
2888 |
+
{
|
2889 |
+
"epoch": 1.704239917269907,
|
2890 |
+
"grad_norm": 0.4989730417728424,
|
2891 |
+
"learning_rate": 5.678148798039213e-07,
|
2892 |
+
"loss": 0.2723,
|
2893 |
+
"step": 412
|
2894 |
+
},
|
2895 |
+
{
|
2896 |
+
"epoch": 1.7083764219234747,
|
2897 |
+
"grad_norm": 0.4776909649372101,
|
2898 |
+
"learning_rate": 5.520107186592477e-07,
|
2899 |
+
"loss": 0.2394,
|
2900 |
+
"step": 413
|
2901 |
+
},
|
2902 |
+
{
|
2903 |
+
"epoch": 1.7125129265770425,
|
2904 |
+
"grad_norm": 0.49704718589782715,
|
2905 |
+
"learning_rate": 5.364167558957267e-07,
|
2906 |
+
"loss": 0.2674,
|
2907 |
+
"step": 414
|
2908 |
+
},
|
2909 |
+
{
|
2910 |
+
"epoch": 1.7166494312306102,
|
2911 |
+
"grad_norm": 0.5080196857452393,
|
2912 |
+
"learning_rate": 5.210337284363876e-07,
|
2913 |
+
"loss": 0.2846,
|
2914 |
+
"step": 415
|
2915 |
+
},
|
2916 |
+
{
|
2917 |
+
"epoch": 1.720785935884178,
|
2918 |
+
"grad_norm": 0.5011091828346252,
|
2919 |
+
"learning_rate": 5.058623632361004e-07,
|
2920 |
+
"loss": 0.276,
|
2921 |
+
"step": 416
|
2922 |
+
},
|
2923 |
+
{
|
2924 |
+
"epoch": 1.7249224405377457,
|
2925 |
+
"grad_norm": 0.4899991750717163,
|
2926 |
+
"learning_rate": 4.909033772472204e-07,
|
2927 |
+
"loss": 0.2465,
|
2928 |
+
"step": 417
|
2929 |
+
},
|
2930 |
+
{
|
2931 |
+
"epoch": 1.7290589451913134,
|
2932 |
+
"grad_norm": 0.47677579522132874,
|
2933 |
+
"learning_rate": 4.7615747738571636e-07,
|
2934 |
+
"loss": 0.2547,
|
2935 |
+
"step": 418
|
2936 |
+
},
|
2937 |
+
{
|
2938 |
+
"epoch": 1.7331954498448812,
|
2939 |
+
"grad_norm": 0.4679698050022125,
|
2940 |
+
"learning_rate": 4.6162536049775387e-07,
|
2941 |
+
"loss": 0.2687,
|
2942 |
+
"step": 419
|
2943 |
+
},
|
2944 |
+
{
|
2945 |
+
"epoch": 1.737331954498449,
|
2946 |
+
"grad_norm": 0.4611322283744812,
|
2947 |
+
"learning_rate": 4.473077133267684e-07,
|
2948 |
+
"loss": 0.2517,
|
2949 |
+
"step": 420
|
2950 |
+
},
|
2951 |
+
{
|
2952 |
+
"epoch": 1.7414684591520166,
|
2953 |
+
"grad_norm": 0.45688915252685547,
|
2954 |
+
"learning_rate": 4.3320521248101487e-07,
|
2955 |
+
"loss": 0.2449,
|
2956 |
+
"step": 421
|
2957 |
+
},
|
2958 |
+
{
|
2959 |
+
"epoch": 1.7456049638055844,
|
2960 |
+
"grad_norm": 0.44202756881713867,
|
2961 |
+
"learning_rate": 4.193185244015879e-07,
|
2962 |
+
"loss": 0.2274,
|
2963 |
+
"step": 422
|
2964 |
+
},
|
2965 |
+
{
|
2966 |
+
"epoch": 1.7497414684591521,
|
2967 |
+
"grad_norm": 0.488298237323761,
|
2968 |
+
"learning_rate": 4.0564830533093014e-07,
|
2969 |
+
"loss": 0.2706,
|
2970 |
+
"step": 423
|
2971 |
+
},
|
2972 |
+
{
|
2973 |
+
"epoch": 1.7538779731127199,
|
2974 |
+
"grad_norm": 0.44502395391464233,
|
2975 |
+
"learning_rate": 3.9219520128182087e-07,
|
2976 |
+
"loss": 0.2343,
|
2977 |
+
"step": 424
|
2978 |
+
},
|
2979 |
+
{
|
2980 |
+
"epoch": 1.7580144777662876,
|
2981 |
+
"grad_norm": 0.4559187889099121,
|
2982 |
+
"learning_rate": 3.789598480068479e-07,
|
2983 |
+
"loss": 0.2477,
|
2984 |
+
"step": 425
|
2985 |
+
},
|
2986 |
+
{
|
2987 |
+
"epoch": 1.7621509824198553,
|
2988 |
+
"grad_norm": 0.43528175354003906,
|
2989 |
+
"learning_rate": 3.659428709683621e-07,
|
2990 |
+
"loss": 0.2279,
|
2991 |
+
"step": 426
|
2992 |
+
},
|
2993 |
+
{
|
2994 |
+
"epoch": 1.766287487073423,
|
2995 |
+
"grad_norm": 0.47880756855010986,
|
2996 |
+
"learning_rate": 3.531448853089192e-07,
|
2997 |
+
"loss": 0.2631,
|
2998 |
+
"step": 427
|
2999 |
+
},
|
3000 |
+
{
|
3001 |
+
"epoch": 1.7704239917269908,
|
3002 |
+
"grad_norm": 0.49789199233055115,
|
3003 |
+
"learning_rate": 3.40566495822216e-07,
|
3004 |
+
"loss": 0.2925,
|
3005 |
+
"step": 428
|
3006 |
+
},
|
3007 |
+
{
|
3008 |
+
"epoch": 1.7745604963805586,
|
3009 |
+
"grad_norm": 0.4378401041030884,
|
3010 |
+
"learning_rate": 3.2820829692449984e-07,
|
3011 |
+
"loss": 0.227,
|
3012 |
+
"step": 429
|
3013 |
+
},
|
3014 |
+
{
|
3015 |
+
"epoch": 1.7786970010341263,
|
3016 |
+
"grad_norm": 0.4724928140640259,
|
3017 |
+
"learning_rate": 3.160708726264855e-07,
|
3018 |
+
"loss": 0.2657,
|
3019 |
+
"step": 430
|
3020 |
+
},
|
3021 |
+
{
|
3022 |
+
"epoch": 1.782833505687694,
|
3023 |
+
"grad_norm": 0.43662911653518677,
|
3024 |
+
"learning_rate": 3.0415479650575783e-07,
|
3025 |
+
"loss": 0.2399,
|
3026 |
+
"step": 431
|
3027 |
+
},
|
3028 |
+
{
|
3029 |
+
"epoch": 1.7869700103412618,
|
3030 |
+
"grad_norm": 0.46386146545410156,
|
3031 |
+
"learning_rate": 2.9246063167965963e-07,
|
3032 |
+
"loss": 0.2447,
|
3033 |
+
"step": 432
|
3034 |
+
},
|
3035 |
+
{
|
3036 |
+
"epoch": 1.7911065149948295,
|
3037 |
+
"grad_norm": 0.47366079688072205,
|
3038 |
+
"learning_rate": 2.809889307786856e-07,
|
3039 |
+
"loss": 0.2449,
|
3040 |
+
"step": 433
|
3041 |
+
},
|
3042 |
+
{
|
3043 |
+
"epoch": 1.795243019648397,
|
3044 |
+
"grad_norm": 0.4846685826778412,
|
3045 |
+
"learning_rate": 2.697402359203638e-07,
|
3046 |
+
"loss": 0.2559,
|
3047 |
+
"step": 434
|
3048 |
+
},
|
3049 |
+
{
|
3050 |
+
"epoch": 1.7993795243019648,
|
3051 |
+
"grad_norm": 0.4788161516189575,
|
3052 |
+
"learning_rate": 2.587150786836407e-07,
|
3053 |
+
"loss": 0.2749,
|
3054 |
+
"step": 435
|
3055 |
+
},
|
3056 |
+
{
|
3057 |
+
"epoch": 1.8035160289555325,
|
3058 |
+
"grad_norm": 0.49820560216903687,
|
3059 |
+
"learning_rate": 2.4791398008375545e-07,
|
3060 |
+
"loss": 0.2748,
|
3061 |
+
"step": 436
|
3062 |
+
},
|
3063 |
+
{
|
3064 |
+
"epoch": 1.8076525336091003,
|
3065 |
+
"grad_norm": 0.45833131670951843,
|
3066 |
+
"learning_rate": 2.3733745054762059e-07,
|
3067 |
+
"loss": 0.2293,
|
3068 |
+
"step": 437
|
3069 |
+
},
|
3070 |
+
{
|
3071 |
+
"epoch": 1.811789038262668,
|
3072 |
+
"grad_norm": 0.5000050067901611,
|
3073 |
+
"learning_rate": 2.2698598988970422e-07,
|
3074 |
+
"loss": 0.2634,
|
3075 |
+
"step": 438
|
3076 |
+
},
|
3077 |
+
{
|
3078 |
+
"epoch": 1.8159255429162358,
|
3079 |
+
"grad_norm": 0.45837461948394775,
|
3080 |
+
"learning_rate": 2.1686008728840301e-07,
|
3081 |
+
"loss": 0.2525,
|
3082 |
+
"step": 439
|
3083 |
+
},
|
3084 |
+
{
|
3085 |
+
"epoch": 1.8200620475698035,
|
3086 |
+
"grad_norm": 0.4396543800830841,
|
3087 |
+
"learning_rate": 2.0696022126293126e-07,
|
3088 |
+
"loss": 0.2374,
|
3089 |
+
"step": 440
|
3090 |
+
},
|
3091 |
+
{
|
3092 |
+
"epoch": 1.8241985522233712,
|
3093 |
+
"grad_norm": 0.4914761483669281,
|
3094 |
+
"learning_rate": 1.9728685965070604e-07,
|
3095 |
+
"loss": 0.2992,
|
3096 |
+
"step": 441
|
3097 |
+
},
|
3098 |
+
{
|
3099 |
+
"epoch": 1.828335056876939,
|
3100 |
+
"grad_norm": 0.5126286745071411,
|
3101 |
+
"learning_rate": 1.8784045958523623e-07,
|
3102 |
+
"loss": 0.2795,
|
3103 |
+
"step": 442
|
3104 |
+
},
|
3105 |
+
{
|
3106 |
+
"epoch": 1.8324715615305067,
|
3107 |
+
"grad_norm": 0.44213420152664185,
|
3108 |
+
"learning_rate": 1.786214674745218e-07,
|
3109 |
+
"loss": 0.2247,
|
3110 |
+
"step": 443
|
3111 |
+
},
|
3112 |
+
{
|
3113 |
+
"epoch": 1.8366080661840745,
|
3114 |
+
"grad_norm": 0.4569559693336487,
|
3115 |
+
"learning_rate": 1.6963031897995863e-07,
|
3116 |
+
"loss": 0.2451,
|
3117 |
+
"step": 444
|
3118 |
+
},
|
3119 |
+
{
|
3120 |
+
"epoch": 1.8407445708376422,
|
3121 |
+
"grad_norm": 0.4845653474330902,
|
3122 |
+
"learning_rate": 1.6086743899575042e-07,
|
3123 |
+
"loss": 0.2818,
|
3124 |
+
"step": 445
|
3125 |
+
},
|
3126 |
+
{
|
3127 |
+
"epoch": 1.84488107549121,
|
3128 |
+
"grad_norm": 0.4564604163169861,
|
3129 |
+
"learning_rate": 1.523332416288259e-07,
|
3130 |
+
"loss": 0.2539,
|
3131 |
+
"step": 446
|
3132 |
+
},
|
3133 |
+
{
|
3134 |
+
"epoch": 1.8490175801447777,
|
3135 |
+
"grad_norm": 0.4548117518424988,
|
3136 |
+
"learning_rate": 1.4402813017927396e-07,
|
3137 |
+
"loss": 0.2554,
|
3138 |
+
"step": 447
|
3139 |
+
},
|
3140 |
+
{
|
3141 |
+
"epoch": 1.8531540847983454,
|
3142 |
+
"grad_norm": 0.4759480655193329,
|
3143 |
+
"learning_rate": 1.3595249712128334e-07,
|
3144 |
+
"loss": 0.2661,
|
3145 |
+
"step": 448
|
3146 |
+
},
|
3147 |
+
{
|
3148 |
+
"epoch": 1.8572905894519132,
|
3149 |
+
"grad_norm": 0.46541112661361694,
|
3150 |
+
"learning_rate": 1.28106724084594e-07,
|
3151 |
+
"loss": 0.2486,
|
3152 |
+
"step": 449
|
3153 |
+
},
|
3154 |
+
{
|
3155 |
+
"epoch": 1.861427094105481,
|
3156 |
+
"grad_norm": 0.4635773003101349,
|
3157 |
+
"learning_rate": 1.2049118183646403e-07,
|
3158 |
+
"loss": 0.2653,
|
3159 |
+
"step": 450
|
3160 |
+
},
|
3161 |
+
{
|
3162 |
+
"epoch": 1.8655635987590486,
|
3163 |
+
"grad_norm": 0.44061151146888733,
|
3164 |
+
"learning_rate": 1.1310623026414891e-07,
|
3165 |
+
"loss": 0.2255,
|
3166 |
+
"step": 451
|
3167 |
+
},
|
3168 |
+
{
|
3169 |
+
"epoch": 1.8697001034126164,
|
3170 |
+
"grad_norm": 0.45572927594184875,
|
3171 |
+
"learning_rate": 1.059522183578926e-07,
|
3172 |
+
"loss": 0.2533,
|
3173 |
+
"step": 452
|
3174 |
+
},
|
3175 |
+
{
|
3176 |
+
"epoch": 1.8738366080661841,
|
3177 |
+
"grad_norm": 0.4822574853897095,
|
3178 |
+
"learning_rate": 9.902948419443669e-08,
|
3179 |
+
"loss": 0.2767,
|
3180 |
+
"step": 453
|
3181 |
+
},
|
3182 |
+
{
|
3183 |
+
"epoch": 1.8779731127197516,
|
3184 |
+
"grad_norm": 0.4398654103279114,
|
3185 |
+
"learning_rate": 9.233835492104326e-08,
|
3186 |
+
"loss": 0.2492,
|
3187 |
+
"step": 454
|
3188 |
+
},
|
3189 |
+
{
|
3190 |
+
"epoch": 1.8821096173733194,
|
3191 |
+
"grad_norm": 0.4548628032207489,
|
3192 |
+
"learning_rate": 8.587914674003384e-08,
|
3193 |
+
"loss": 0.254,
|
3194 |
+
"step": 455
|
3195 |
+
},
|
3196 |
+
{
|
3197 |
+
"epoch": 1.8862461220268871,
|
3198 |
+
"grad_norm": 0.45040181279182434,
|
3199 |
+
"learning_rate": 7.965216489384919e-08,
|
3200 |
+
"loss": 0.2721,
|
3201 |
+
"step": 456
|
3202 |
+
},
|
3203 |
+
{
|
3204 |
+
"epoch": 1.8903826266804549,
|
3205 |
+
"grad_norm": 0.47080284357070923,
|
3206 |
+
"learning_rate": 7.365770365062308e-08,
|
3207 |
+
"loss": 0.2718,
|
3208 |
+
"step": 457
|
3209 |
+
},
|
3210 |
+
{
|
3211 |
+
"epoch": 1.8945191313340226,
|
3212 |
+
"grad_norm": 0.48404160141944885,
|
3213 |
+
"learning_rate": 6.789604629027614e-08,
|
3214 |
+
"loss": 0.2924,
|
3215 |
+
"step": 458
|
3216 |
+
},
|
3217 |
+
{
|
3218 |
+
"epoch": 1.8986556359875904,
|
3219 |
+
"grad_norm": 0.46306654810905457,
|
3220 |
+
"learning_rate": 6.236746509112824e-08,
|
3221 |
+
"loss": 0.2531,
|
3222 |
+
"step": 459
|
3223 |
+
},
|
3224 |
+
{
|
3225 |
+
"epoch": 1.902792140641158,
|
3226 |
+
"grad_norm": 0.4330954849720001,
|
3227 |
+
"learning_rate": 5.707222131703216e-08,
|
3228 |
+
"loss": 0.2388,
|
3229 |
+
"step": 460
|
3230 |
+
},
|
3231 |
+
{
|
3232 |
+
"epoch": 1.9069286452947258,
|
3233 |
+
"grad_norm": 0.46021175384521484,
|
3234 |
+
"learning_rate": 5.201056520502734e-08,
|
3235 |
+
"loss": 0.2468,
|
3236 |
+
"step": 461
|
3237 |
+
},
|
3238 |
+
{
|
3239 |
+
"epoch": 1.9110651499482936,
|
3240 |
+
"grad_norm": 0.5022516250610352,
|
3241 |
+
"learning_rate": 4.718273595351486e-08,
|
3242 |
+
"loss": 0.263,
|
3243 |
+
"step": 462
|
3244 |
+
},
|
3245 |
+
{
|
3246 |
+
"epoch": 1.9152016546018613,
|
3247 |
+
"grad_norm": 0.47739377617836,
|
3248 |
+
"learning_rate": 4.25889617109515e-08,
|
3249 |
+
"loss": 0.2718,
|
3250 |
+
"step": 463
|
3251 |
+
},
|
3252 |
+
{
|
3253 |
+
"epoch": 1.919338159255429,
|
3254 |
+
"grad_norm": 0.4588397741317749,
|
3255 |
+
"learning_rate": 3.8229459565070074e-08,
|
3256 |
+
"loss": 0.2412,
|
3257 |
+
"step": 464
|
3258 |
+
},
|
3259 |
+
{
|
3260 |
+
"epoch": 1.9234746639089968,
|
3261 |
+
"grad_norm": 0.4719136953353882,
|
3262 |
+
"learning_rate": 3.410443553262033e-08,
|
3263 |
+
"loss": 0.2722,
|
3264 |
+
"step": 465
|
3265 |
+
},
|
3266 |
+
{
|
3267 |
+
"epoch": 1.9276111685625645,
|
3268 |
+
"grad_norm": 0.4567975401878357,
|
3269 |
+
"learning_rate": 3.0214084549632925e-08,
|
3270 |
+
"loss": 0.2536,
|
3271 |
+
"step": 466
|
3272 |
+
},
|
3273 |
+
{
|
3274 |
+
"epoch": 1.9317476732161323,
|
3275 |
+
"grad_norm": 0.4981779158115387,
|
3276 |
+
"learning_rate": 2.6558590462207322e-08,
|
3277 |
+
"loss": 0.27,
|
3278 |
+
"step": 467
|
3279 |
+
},
|
3280 |
+
{
|
3281 |
+
"epoch": 1.9358841778697,
|
3282 |
+
"grad_norm": 0.4779011309146881,
|
3283 |
+
"learning_rate": 2.3138126017822614e-08,
|
3284 |
+
"loss": 0.2707,
|
3285 |
+
"step": 468
|
3286 |
+
},
|
3287 |
+
{
|
3288 |
+
"epoch": 1.9400206825232678,
|
3289 |
+
"grad_norm": 0.4619957506656647,
|
3290 |
+
"learning_rate": 1.99528528571763e-08,
|
3291 |
+
"loss": 0.2516,
|
3292 |
+
"step": 469
|
3293 |
+
},
|
3294 |
+
{
|
3295 |
+
"epoch": 1.9441571871768355,
|
3296 |
+
"grad_norm": 0.47019270062446594,
|
3297 |
+
"learning_rate": 1.7002921506544812e-08,
|
3298 |
+
"loss": 0.2762,
|
3299 |
+
"step": 470
|
3300 |
+
},
|
3301 |
+
{
|
3302 |
+
"epoch": 1.9482936918304032,
|
3303 |
+
"grad_norm": 0.48734498023986816,
|
3304 |
+
"learning_rate": 1.4288471370669244e-08,
|
3305 |
+
"loss": 0.2779,
|
3306 |
+
"step": 471
|
3307 |
+
},
|
3308 |
+
{
|
3309 |
+
"epoch": 1.952430196483971,
|
3310 |
+
"grad_norm": 0.5020056366920471,
|
3311 |
+
"learning_rate": 1.1809630726167808e-08,
|
3312 |
+
"loss": 0.2731,
|
3313 |
+
"step": 472
|
3314 |
+
},
|
3315 |
+
{
|
3316 |
+
"epoch": 1.9565667011375387,
|
3317 |
+
"grad_norm": 0.4687701165676117,
|
3318 |
+
"learning_rate": 9.566516715474594e-09,
|
3319 |
+
"loss": 0.2584,
|
3320 |
+
"step": 473
|
3321 |
+
},
|
3322 |
+
{
|
3323 |
+
"epoch": 1.9607032057911065,
|
3324 |
+
"grad_norm": 0.4735799729824066,
|
3325 |
+
"learning_rate": 7.559235341302872e-09,
|
3326 |
+
"loss": 0.2663,
|
3327 |
+
"step": 474
|
3328 |
+
},
|
3329 |
+
{
|
3330 |
+
"epoch": 1.9648397104446742,
|
3331 |
+
"grad_norm": 0.4657973349094391,
|
3332 |
+
"learning_rate": 5.787881461636891e-09,
|
3333 |
+
"loss": 0.2597,
|
3334 |
+
"step": 475
|
3335 |
+
},
|
3336 |
+
{
|
3337 |
+
"epoch": 1.968976215098242,
|
3338 |
+
"grad_norm": 0.43754643201828003,
|
3339 |
+
"learning_rate": 4.252538785248228e-09,
|
3340 |
+
"loss": 0.2198,
|
3341 |
+
"step": 476
|
3342 |
+
},
|
3343 |
+
{
|
3344 |
+
"epoch": 1.9731127197518097,
|
3345 |
+
"grad_norm": 0.45479777455329895,
|
3346 |
+
"learning_rate": 2.9532798677395226e-09,
|
3347 |
+
"loss": 0.2456,
|
3348 |
+
"step": 477
|
3349 |
+
},
|
3350 |
+
{
|
3351 |
+
"epoch": 1.9772492244053774,
|
3352 |
+
"grad_norm": 0.4745938181877136,
|
3353 |
+
"learning_rate": 1.8901661081172084e-09,
|
3354 |
+
"loss": 0.2719,
|
3355 |
+
"step": 478
|
3356 |
+
},
|
3357 |
+
{
|
3358 |
+
"epoch": 1.9813857290589452,
|
3359 |
+
"grad_norm": 0.4496646225452423,
|
3360 |
+
"learning_rate": 1.0632477458888401e-09,
|
3361 |
+
"loss": 0.2545,
|
3362 |
+
"step": 479
|
3363 |
+
},
|
3364 |
+
{
|
3365 |
+
"epoch": 1.985522233712513,
|
3366 |
+
"grad_norm": 0.5044782757759094,
|
3367 |
+
"learning_rate": 4.725638586894344e-10,
|
3368 |
+
"loss": 0.2904,
|
3369 |
+
"step": 480
|
3370 |
+
},
|
3371 |
+
{
|
3372 |
+
"epoch": 1.9896587383660806,
|
3373 |
+
"grad_norm": 0.45781707763671875,
|
3374 |
+
"learning_rate": 1.1814236043405924e-10,
|
3375 |
+
"loss": 0.2429,
|
3376 |
+
"step": 481
|
3377 |
+
},
|
3378 |
+
{
|
3379 |
+
"epoch": 1.9937952430196484,
|
3380 |
+
"grad_norm": 0.4693934917449951,
|
3381 |
+
"learning_rate": 0.0,
|
3382 |
+
"loss": 0.2602,
|
3383 |
+
"step": 482
|
3384 |
+
},
|
3385 |
+
{
|
3386 |
+
"epoch": 1.9937952430196484,
|
3387 |
+
"step": 482,
|
3388 |
+
"total_flos": 3.6089290785072087e+18,
|
3389 |
+
"train_loss": 0.3119487636316861,
|
3390 |
+
"train_runtime": 2571.753,
|
3391 |
+
"train_samples_per_second": 24.051,
|
3392 |
+
"train_steps_per_second": 0.187
|
3393 |
+
}
|
3394 |
+
],
|
3395 |
+
"logging_steps": 1,
|
3396 |
+
"max_steps": 482,
|
3397 |
+
"num_input_tokens_seen": 0,
|
3398 |
+
"num_train_epochs": 2,
|
3399 |
+
"save_steps": 1000,
|
3400 |
+
"stateful_callbacks": {
|
3401 |
+
"TrainerControl": {
|
3402 |
+
"args": {
|
3403 |
+
"should_epoch_stop": false,
|
3404 |
+
"should_evaluate": false,
|
3405 |
+
"should_log": false,
|
3406 |
+
"should_save": true,
|
3407 |
+
"should_training_stop": true
|
3408 |
+
},
|
3409 |
+
"attributes": {}
|
3410 |
+
}
|
3411 |
+
},
|
3412 |
+
"total_flos": 3.6089290785072087e+18,
|
3413 |
+
"train_batch_size": 4,
|
3414 |
+
"trial_name": null,
|
3415 |
+
"trial_params": null
|
3416 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d98d9cd2eedc86e7156c05455d96e638d997b565b9c01d1193d728b0508fc90f
|
3 |
+
size 6712
|
training_loss.png
ADDED
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|