Uploaded checkpoint-4000
Browse files- config.json +30 -0
- generation_config.json +4 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +2837 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "microsoft/phi-1_5",
|
3 |
+
"architectures": [
|
4 |
+
"PhiForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": null,
|
8 |
+
"embd_pdrop": 0.0,
|
9 |
+
"eos_token_id": null,
|
10 |
+
"hidden_act": "gelu_new",
|
11 |
+
"hidden_size": 2048,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 8192,
|
14 |
+
"layer_norm_eps": 1e-05,
|
15 |
+
"max_position_embeddings": 2048,
|
16 |
+
"model_type": "phi",
|
17 |
+
"num_attention_heads": 32,
|
18 |
+
"num_hidden_layers": 24,
|
19 |
+
"num_key_value_heads": 32,
|
20 |
+
"partial_rotary_factor": 0.5,
|
21 |
+
"qk_layernorm": false,
|
22 |
+
"resid_pdrop": 0.0,
|
23 |
+
"rope_scaling": null,
|
24 |
+
"rope_theta": 10000.0,
|
25 |
+
"tie_word_embeddings": false,
|
26 |
+
"torch_dtype": "bfloat16",
|
27 |
+
"transformers_version": "4.38.2",
|
28 |
+
"use_cache": true,
|
29 |
+
"vocab_size": 51200
|
30 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"transformers_version": "4.38.2"
|
4 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a3434b9973c7765ea0d03808a152fba190fca67bb9333548c1a754bc148dcbf3
|
3 |
+
size 2836579040
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1496025d3521c12fa16ed5f5849676ae95704e70737e7a72e6f63b6a29167091
|
3 |
+
size 5673376169
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2cd6223bbfae52744b75945c62a0877c4335f85a86f8b7be4ebde6f64b7130c2
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fcf22f0e0da3ff7da1309825b3250ec174074c58312df0e173f4ad45afa440dd
|
3 |
+
size 1064
|
trainer_state.json
ADDED
@@ -0,0 +1,2837 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.4344629729245113,
|
5 |
+
"eval_steps": 2000,
|
6 |
+
"global_step": 4000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"grad_norm": 5.03125,
|
14 |
+
"learning_rate": 3.0000000000000004e-07,
|
15 |
+
"loss": 1.4133,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.01,
|
20 |
+
"grad_norm": 9.0,
|
21 |
+
"learning_rate": 6.000000000000001e-07,
|
22 |
+
"loss": 1.5815,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.01,
|
27 |
+
"grad_norm": 6.5625,
|
28 |
+
"learning_rate": 9e-07,
|
29 |
+
"loss": 1.3232,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.01,
|
34 |
+
"grad_norm": 4.875,
|
35 |
+
"learning_rate": 1.2000000000000002e-06,
|
36 |
+
"loss": 1.3635,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.02,
|
41 |
+
"grad_norm": 6.21875,
|
42 |
+
"learning_rate": 1.5e-06,
|
43 |
+
"loss": 1.3467,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.02,
|
48 |
+
"grad_norm": 7.4375,
|
49 |
+
"learning_rate": 1.8e-06,
|
50 |
+
"loss": 1.3232,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.03,
|
55 |
+
"grad_norm": 5.9375,
|
56 |
+
"learning_rate": 2.1000000000000002e-06,
|
57 |
+
"loss": 1.3657,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.03,
|
62 |
+
"grad_norm": 5.0625,
|
63 |
+
"learning_rate": 2.4000000000000003e-06,
|
64 |
+
"loss": 1.3112,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.03,
|
69 |
+
"grad_norm": 5.53125,
|
70 |
+
"learning_rate": 2.7e-06,
|
71 |
+
"loss": 1.3052,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.04,
|
76 |
+
"grad_norm": 5.34375,
|
77 |
+
"learning_rate": 3e-06,
|
78 |
+
"loss": 1.3857,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.04,
|
83 |
+
"grad_norm": 5.9375,
|
84 |
+
"learning_rate": 3.3e-06,
|
85 |
+
"loss": 1.4426,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.04,
|
90 |
+
"grad_norm": 5.875,
|
91 |
+
"learning_rate": 3.6e-06,
|
92 |
+
"loss": 1.2005,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.05,
|
97 |
+
"grad_norm": 6.65625,
|
98 |
+
"learning_rate": 3.9e-06,
|
99 |
+
"loss": 1.2581,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.05,
|
104 |
+
"grad_norm": 6.09375,
|
105 |
+
"learning_rate": 4.2000000000000004e-06,
|
106 |
+
"loss": 1.3267,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.05,
|
111 |
+
"grad_norm": 6.46875,
|
112 |
+
"learning_rate": 4.5e-06,
|
113 |
+
"loss": 1.3335,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.06,
|
118 |
+
"grad_norm": 4.59375,
|
119 |
+
"learning_rate": 4.800000000000001e-06,
|
120 |
+
"loss": 1.2575,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.06,
|
125 |
+
"grad_norm": 4.8125,
|
126 |
+
"learning_rate": 5.1e-06,
|
127 |
+
"loss": 1.2955,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.06,
|
132 |
+
"grad_norm": 5.1875,
|
133 |
+
"learning_rate": 5.4e-06,
|
134 |
+
"loss": 1.1892,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.07,
|
139 |
+
"grad_norm": 5.09375,
|
140 |
+
"learning_rate": 5.7000000000000005e-06,
|
141 |
+
"loss": 1.1546,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.07,
|
146 |
+
"grad_norm": 5.0,
|
147 |
+
"learning_rate": 6e-06,
|
148 |
+
"loss": 1.0558,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.08,
|
153 |
+
"grad_norm": 4.65625,
|
154 |
+
"learning_rate": 6.3e-06,
|
155 |
+
"loss": 1.0267,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.08,
|
160 |
+
"grad_norm": 4.3125,
|
161 |
+
"learning_rate": 6.6e-06,
|
162 |
+
"loss": 1.1234,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.08,
|
167 |
+
"grad_norm": 5.0,
|
168 |
+
"learning_rate": 6.900000000000001e-06,
|
169 |
+
"loss": 1.0501,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.09,
|
174 |
+
"grad_norm": 4.15625,
|
175 |
+
"learning_rate": 7.2e-06,
|
176 |
+
"loss": 1.1591,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.09,
|
181 |
+
"grad_norm": 3.53125,
|
182 |
+
"learning_rate": 7.5e-06,
|
183 |
+
"loss": 0.9678,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.09,
|
188 |
+
"grad_norm": 6.0625,
|
189 |
+
"learning_rate": 7.8e-06,
|
190 |
+
"loss": 1.1697,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.1,
|
195 |
+
"grad_norm": 3.53125,
|
196 |
+
"learning_rate": 8.1e-06,
|
197 |
+
"loss": 0.8972,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.1,
|
202 |
+
"grad_norm": 4.78125,
|
203 |
+
"learning_rate": 8.400000000000001e-06,
|
204 |
+
"loss": 1.0512,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.1,
|
209 |
+
"grad_norm": 5.9375,
|
210 |
+
"learning_rate": 8.7e-06,
|
211 |
+
"loss": 0.9511,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.11,
|
216 |
+
"grad_norm": 4.09375,
|
217 |
+
"learning_rate": 9e-06,
|
218 |
+
"loss": 1.0023,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.11,
|
223 |
+
"grad_norm": 4.1875,
|
224 |
+
"learning_rate": 9.3e-06,
|
225 |
+
"loss": 1.0908,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.11,
|
230 |
+
"grad_norm": 2.875,
|
231 |
+
"learning_rate": 9.600000000000001e-06,
|
232 |
+
"loss": 1.0276,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.12,
|
237 |
+
"grad_norm": 4.15625,
|
238 |
+
"learning_rate": 9.9e-06,
|
239 |
+
"loss": 0.9734,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.12,
|
244 |
+
"grad_norm": 4.625,
|
245 |
+
"learning_rate": 1.02e-05,
|
246 |
+
"loss": 0.8525,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.13,
|
251 |
+
"grad_norm": 3.546875,
|
252 |
+
"learning_rate": 1.05e-05,
|
253 |
+
"loss": 1.0789,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.13,
|
258 |
+
"grad_norm": 3.21875,
|
259 |
+
"learning_rate": 1.08e-05,
|
260 |
+
"loss": 0.981,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.13,
|
265 |
+
"grad_norm": 5.5625,
|
266 |
+
"learning_rate": 1.11e-05,
|
267 |
+
"loss": 1.0341,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.14,
|
272 |
+
"grad_norm": 2.8125,
|
273 |
+
"learning_rate": 1.1400000000000001e-05,
|
274 |
+
"loss": 0.8214,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.14,
|
279 |
+
"grad_norm": 5.96875,
|
280 |
+
"learning_rate": 1.1700000000000001e-05,
|
281 |
+
"loss": 0.9675,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.14,
|
286 |
+
"grad_norm": 4.125,
|
287 |
+
"learning_rate": 1.2e-05,
|
288 |
+
"loss": 1.2041,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.15,
|
293 |
+
"grad_norm": 5.15625,
|
294 |
+
"learning_rate": 1.2299999999999999e-05,
|
295 |
+
"loss": 1.0061,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.15,
|
300 |
+
"grad_norm": 3.328125,
|
301 |
+
"learning_rate": 1.26e-05,
|
302 |
+
"loss": 0.8642,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.15,
|
307 |
+
"grad_norm": 5.4375,
|
308 |
+
"learning_rate": 1.29e-05,
|
309 |
+
"loss": 1.0072,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.16,
|
314 |
+
"grad_norm": 3.34375,
|
315 |
+
"learning_rate": 1.32e-05,
|
316 |
+
"loss": 0.9096,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.16,
|
321 |
+
"grad_norm": 4.125,
|
322 |
+
"learning_rate": 1.3500000000000001e-05,
|
323 |
+
"loss": 1.002,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.16,
|
328 |
+
"grad_norm": 4.78125,
|
329 |
+
"learning_rate": 1.3800000000000002e-05,
|
330 |
+
"loss": 0.8901,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.17,
|
335 |
+
"grad_norm": 3.3125,
|
336 |
+
"learning_rate": 1.4099999999999999e-05,
|
337 |
+
"loss": 0.8891,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.17,
|
342 |
+
"grad_norm": 5.09375,
|
343 |
+
"learning_rate": 1.44e-05,
|
344 |
+
"loss": 0.9389,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.18,
|
349 |
+
"grad_norm": 2.28125,
|
350 |
+
"learning_rate": 1.47e-05,
|
351 |
+
"loss": 0.8838,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.18,
|
356 |
+
"grad_norm": 3.765625,
|
357 |
+
"learning_rate": 1.5e-05,
|
358 |
+
"loss": 1.0191,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.18,
|
363 |
+
"grad_norm": 2.328125,
|
364 |
+
"learning_rate": 1.4984210526315789e-05,
|
365 |
+
"loss": 0.9197,
|
366 |
+
"step": 510
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.19,
|
370 |
+
"grad_norm": 4.90625,
|
371 |
+
"learning_rate": 1.496842105263158e-05,
|
372 |
+
"loss": 0.9614,
|
373 |
+
"step": 520
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.19,
|
377 |
+
"grad_norm": 4.84375,
|
378 |
+
"learning_rate": 1.4952631578947368e-05,
|
379 |
+
"loss": 0.8612,
|
380 |
+
"step": 530
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.19,
|
384 |
+
"grad_norm": 3.765625,
|
385 |
+
"learning_rate": 1.4936842105263158e-05,
|
386 |
+
"loss": 0.91,
|
387 |
+
"step": 540
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.2,
|
391 |
+
"grad_norm": 3.15625,
|
392 |
+
"learning_rate": 1.4921052631578947e-05,
|
393 |
+
"loss": 0.8851,
|
394 |
+
"step": 550
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.2,
|
398 |
+
"grad_norm": 4.0625,
|
399 |
+
"learning_rate": 1.4905263157894737e-05,
|
400 |
+
"loss": 0.9448,
|
401 |
+
"step": 560
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.2,
|
405 |
+
"grad_norm": 2.859375,
|
406 |
+
"learning_rate": 1.4889473684210526e-05,
|
407 |
+
"loss": 0.8091,
|
408 |
+
"step": 570
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.21,
|
412 |
+
"grad_norm": 4.09375,
|
413 |
+
"learning_rate": 1.4873684210526315e-05,
|
414 |
+
"loss": 0.8932,
|
415 |
+
"step": 580
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.21,
|
419 |
+
"grad_norm": 5.375,
|
420 |
+
"learning_rate": 1.4857894736842107e-05,
|
421 |
+
"loss": 0.966,
|
422 |
+
"step": 590
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.22,
|
426 |
+
"grad_norm": 3.875,
|
427 |
+
"learning_rate": 1.4842105263157895e-05,
|
428 |
+
"loss": 0.8036,
|
429 |
+
"step": 600
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.22,
|
433 |
+
"grad_norm": 3.9375,
|
434 |
+
"learning_rate": 1.4826315789473686e-05,
|
435 |
+
"loss": 0.9743,
|
436 |
+
"step": 610
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.22,
|
440 |
+
"grad_norm": 3.09375,
|
441 |
+
"learning_rate": 1.4810526315789474e-05,
|
442 |
+
"loss": 0.8383,
|
443 |
+
"step": 620
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.23,
|
447 |
+
"grad_norm": 4.3125,
|
448 |
+
"learning_rate": 1.4794736842105265e-05,
|
449 |
+
"loss": 0.8982,
|
450 |
+
"step": 630
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.23,
|
454 |
+
"grad_norm": 3.90625,
|
455 |
+
"learning_rate": 1.4778947368421053e-05,
|
456 |
+
"loss": 0.8112,
|
457 |
+
"step": 640
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.23,
|
461 |
+
"grad_norm": 3.96875,
|
462 |
+
"learning_rate": 1.4763157894736842e-05,
|
463 |
+
"loss": 0.8426,
|
464 |
+
"step": 650
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.24,
|
468 |
+
"grad_norm": 4.03125,
|
469 |
+
"learning_rate": 1.4747368421052632e-05,
|
470 |
+
"loss": 0.8399,
|
471 |
+
"step": 660
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.24,
|
475 |
+
"grad_norm": 3.125,
|
476 |
+
"learning_rate": 1.4731578947368421e-05,
|
477 |
+
"loss": 0.9043,
|
478 |
+
"step": 670
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.24,
|
482 |
+
"grad_norm": 3.5,
|
483 |
+
"learning_rate": 1.4715789473684211e-05,
|
484 |
+
"loss": 0.8521,
|
485 |
+
"step": 680
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.25,
|
489 |
+
"grad_norm": 3.46875,
|
490 |
+
"learning_rate": 1.47e-05,
|
491 |
+
"loss": 0.9079,
|
492 |
+
"step": 690
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.25,
|
496 |
+
"grad_norm": 4.4375,
|
497 |
+
"learning_rate": 1.468421052631579e-05,
|
498 |
+
"loss": 0.7998,
|
499 |
+
"step": 700
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.25,
|
503 |
+
"grad_norm": 3.46875,
|
504 |
+
"learning_rate": 1.4668421052631579e-05,
|
505 |
+
"loss": 0.8204,
|
506 |
+
"step": 710
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.26,
|
510 |
+
"grad_norm": 3.3125,
|
511 |
+
"learning_rate": 1.4652631578947367e-05,
|
512 |
+
"loss": 0.8764,
|
513 |
+
"step": 720
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.26,
|
517 |
+
"grad_norm": 6.28125,
|
518 |
+
"learning_rate": 1.4636842105263158e-05,
|
519 |
+
"loss": 0.9226,
|
520 |
+
"step": 730
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.27,
|
524 |
+
"grad_norm": 3.921875,
|
525 |
+
"learning_rate": 1.4621052631578946e-05,
|
526 |
+
"loss": 0.8921,
|
527 |
+
"step": 740
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.27,
|
531 |
+
"grad_norm": 3.671875,
|
532 |
+
"learning_rate": 1.4605263157894737e-05,
|
533 |
+
"loss": 0.8764,
|
534 |
+
"step": 750
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.27,
|
538 |
+
"grad_norm": 3.671875,
|
539 |
+
"learning_rate": 1.4589473684210527e-05,
|
540 |
+
"loss": 0.8475,
|
541 |
+
"step": 760
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.28,
|
545 |
+
"grad_norm": 3.921875,
|
546 |
+
"learning_rate": 1.4573684210526317e-05,
|
547 |
+
"loss": 0.9297,
|
548 |
+
"step": 770
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.28,
|
552 |
+
"grad_norm": 3.109375,
|
553 |
+
"learning_rate": 1.4557894736842106e-05,
|
554 |
+
"loss": 0.9052,
|
555 |
+
"step": 780
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.28,
|
559 |
+
"grad_norm": 4.40625,
|
560 |
+
"learning_rate": 1.4542105263157895e-05,
|
561 |
+
"loss": 0.8695,
|
562 |
+
"step": 790
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.29,
|
566 |
+
"grad_norm": 4.25,
|
567 |
+
"learning_rate": 1.4526315789473685e-05,
|
568 |
+
"loss": 0.9214,
|
569 |
+
"step": 800
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.29,
|
573 |
+
"grad_norm": 3.25,
|
574 |
+
"learning_rate": 1.4510526315789474e-05,
|
575 |
+
"loss": 0.8403,
|
576 |
+
"step": 810
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.29,
|
580 |
+
"grad_norm": 3.046875,
|
581 |
+
"learning_rate": 1.4494736842105264e-05,
|
582 |
+
"loss": 0.918,
|
583 |
+
"step": 820
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.3,
|
587 |
+
"grad_norm": 5.53125,
|
588 |
+
"learning_rate": 1.4478947368421053e-05,
|
589 |
+
"loss": 0.8599,
|
590 |
+
"step": 830
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.3,
|
594 |
+
"grad_norm": 2.875,
|
595 |
+
"learning_rate": 1.4463157894736843e-05,
|
596 |
+
"loss": 0.954,
|
597 |
+
"step": 840
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.3,
|
601 |
+
"grad_norm": 4.21875,
|
602 |
+
"learning_rate": 1.4447368421052632e-05,
|
603 |
+
"loss": 0.8568,
|
604 |
+
"step": 850
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.31,
|
608 |
+
"grad_norm": 4.03125,
|
609 |
+
"learning_rate": 1.443157894736842e-05,
|
610 |
+
"loss": 0.9043,
|
611 |
+
"step": 860
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.31,
|
615 |
+
"grad_norm": 4.0,
|
616 |
+
"learning_rate": 1.441578947368421e-05,
|
617 |
+
"loss": 0.9108,
|
618 |
+
"step": 870
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.32,
|
622 |
+
"grad_norm": 4.28125,
|
623 |
+
"learning_rate": 1.44e-05,
|
624 |
+
"loss": 0.8723,
|
625 |
+
"step": 880
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.32,
|
629 |
+
"grad_norm": 3.859375,
|
630 |
+
"learning_rate": 1.438421052631579e-05,
|
631 |
+
"loss": 0.8514,
|
632 |
+
"step": 890
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.32,
|
636 |
+
"grad_norm": 2.59375,
|
637 |
+
"learning_rate": 1.4368421052631578e-05,
|
638 |
+
"loss": 0.8584,
|
639 |
+
"step": 900
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.33,
|
643 |
+
"grad_norm": 3.9375,
|
644 |
+
"learning_rate": 1.4352631578947369e-05,
|
645 |
+
"loss": 0.8763,
|
646 |
+
"step": 910
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.33,
|
650 |
+
"grad_norm": 4.4375,
|
651 |
+
"learning_rate": 1.4336842105263159e-05,
|
652 |
+
"loss": 0.7777,
|
653 |
+
"step": 920
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.33,
|
657 |
+
"grad_norm": 3.671875,
|
658 |
+
"learning_rate": 1.4321052631578948e-05,
|
659 |
+
"loss": 0.9353,
|
660 |
+
"step": 930
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.34,
|
664 |
+
"grad_norm": 3.4375,
|
665 |
+
"learning_rate": 1.4305263157894738e-05,
|
666 |
+
"loss": 0.8708,
|
667 |
+
"step": 940
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.34,
|
671 |
+
"grad_norm": 3.828125,
|
672 |
+
"learning_rate": 1.4289473684210527e-05,
|
673 |
+
"loss": 0.8801,
|
674 |
+
"step": 950
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.34,
|
678 |
+
"grad_norm": 3.5,
|
679 |
+
"learning_rate": 1.4273684210526317e-05,
|
680 |
+
"loss": 0.8625,
|
681 |
+
"step": 960
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.35,
|
685 |
+
"grad_norm": 5.03125,
|
686 |
+
"learning_rate": 1.4257894736842106e-05,
|
687 |
+
"loss": 0.875,
|
688 |
+
"step": 970
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.35,
|
692 |
+
"grad_norm": 5.21875,
|
693 |
+
"learning_rate": 1.4242105263157896e-05,
|
694 |
+
"loss": 0.9445,
|
695 |
+
"step": 980
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.36,
|
699 |
+
"grad_norm": 3.421875,
|
700 |
+
"learning_rate": 1.4226315789473685e-05,
|
701 |
+
"loss": 0.7317,
|
702 |
+
"step": 990
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.36,
|
706 |
+
"grad_norm": 3.6875,
|
707 |
+
"learning_rate": 1.4210526315789473e-05,
|
708 |
+
"loss": 0.8303,
|
709 |
+
"step": 1000
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.36,
|
713 |
+
"grad_norm": 4.40625,
|
714 |
+
"learning_rate": 1.4194736842105264e-05,
|
715 |
+
"loss": 0.8433,
|
716 |
+
"step": 1010
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.37,
|
720 |
+
"grad_norm": 3.484375,
|
721 |
+
"learning_rate": 1.4178947368421052e-05,
|
722 |
+
"loss": 0.8713,
|
723 |
+
"step": 1020
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.37,
|
727 |
+
"grad_norm": 3.890625,
|
728 |
+
"learning_rate": 1.4163157894736843e-05,
|
729 |
+
"loss": 0.8411,
|
730 |
+
"step": 1030
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.37,
|
734 |
+
"grad_norm": 4.3125,
|
735 |
+
"learning_rate": 1.4147368421052631e-05,
|
736 |
+
"loss": 0.8757,
|
737 |
+
"step": 1040
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.38,
|
741 |
+
"grad_norm": 3.3125,
|
742 |
+
"learning_rate": 1.4131578947368422e-05,
|
743 |
+
"loss": 0.7574,
|
744 |
+
"step": 1050
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.38,
|
748 |
+
"grad_norm": 5.21875,
|
749 |
+
"learning_rate": 1.411578947368421e-05,
|
750 |
+
"loss": 0.8089,
|
751 |
+
"step": 1060
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.38,
|
755 |
+
"grad_norm": 2.890625,
|
756 |
+
"learning_rate": 1.4099999999999999e-05,
|
757 |
+
"loss": 0.7259,
|
758 |
+
"step": 1070
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.39,
|
762 |
+
"grad_norm": 3.125,
|
763 |
+
"learning_rate": 1.408421052631579e-05,
|
764 |
+
"loss": 0.7544,
|
765 |
+
"step": 1080
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.39,
|
769 |
+
"grad_norm": 3.375,
|
770 |
+
"learning_rate": 1.406842105263158e-05,
|
771 |
+
"loss": 0.9522,
|
772 |
+
"step": 1090
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.39,
|
776 |
+
"grad_norm": 4.78125,
|
777 |
+
"learning_rate": 1.405263157894737e-05,
|
778 |
+
"loss": 0.8574,
|
779 |
+
"step": 1100
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.4,
|
783 |
+
"grad_norm": 2.78125,
|
784 |
+
"learning_rate": 1.4036842105263158e-05,
|
785 |
+
"loss": 0.9539,
|
786 |
+
"step": 1110
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.4,
|
790 |
+
"grad_norm": 3.34375,
|
791 |
+
"learning_rate": 1.4021052631578949e-05,
|
792 |
+
"loss": 0.8365,
|
793 |
+
"step": 1120
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.41,
|
797 |
+
"grad_norm": 5.34375,
|
798 |
+
"learning_rate": 1.4005263157894737e-05,
|
799 |
+
"loss": 0.7868,
|
800 |
+
"step": 1130
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.41,
|
804 |
+
"grad_norm": 3.515625,
|
805 |
+
"learning_rate": 1.3989473684210526e-05,
|
806 |
+
"loss": 0.9054,
|
807 |
+
"step": 1140
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.41,
|
811 |
+
"grad_norm": 3.015625,
|
812 |
+
"learning_rate": 1.3973684210526316e-05,
|
813 |
+
"loss": 0.841,
|
814 |
+
"step": 1150
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.42,
|
818 |
+
"grad_norm": 4.21875,
|
819 |
+
"learning_rate": 1.3957894736842105e-05,
|
820 |
+
"loss": 0.8132,
|
821 |
+
"step": 1160
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.42,
|
825 |
+
"grad_norm": 3.515625,
|
826 |
+
"learning_rate": 1.3942105263157895e-05,
|
827 |
+
"loss": 0.8678,
|
828 |
+
"step": 1170
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.42,
|
832 |
+
"grad_norm": 3.4375,
|
833 |
+
"learning_rate": 1.3926315789473684e-05,
|
834 |
+
"loss": 0.8434,
|
835 |
+
"step": 1180
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.43,
|
839 |
+
"grad_norm": 4.3125,
|
840 |
+
"learning_rate": 1.3910526315789474e-05,
|
841 |
+
"loss": 0.7466,
|
842 |
+
"step": 1190
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.43,
|
846 |
+
"grad_norm": 3.5625,
|
847 |
+
"learning_rate": 1.3894736842105263e-05,
|
848 |
+
"loss": 0.9028,
|
849 |
+
"step": 1200
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.43,
|
853 |
+
"grad_norm": 3.203125,
|
854 |
+
"learning_rate": 1.3878947368421052e-05,
|
855 |
+
"loss": 0.9181,
|
856 |
+
"step": 1210
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.44,
|
860 |
+
"grad_norm": 3.703125,
|
861 |
+
"learning_rate": 1.3863157894736842e-05,
|
862 |
+
"loss": 0.9427,
|
863 |
+
"step": 1220
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.44,
|
867 |
+
"grad_norm": 2.609375,
|
868 |
+
"learning_rate": 1.384736842105263e-05,
|
869 |
+
"loss": 0.7861,
|
870 |
+
"step": 1230
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.44,
|
874 |
+
"grad_norm": 5.71875,
|
875 |
+
"learning_rate": 1.3831578947368421e-05,
|
876 |
+
"loss": 0.8857,
|
877 |
+
"step": 1240
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.45,
|
881 |
+
"grad_norm": 3.140625,
|
882 |
+
"learning_rate": 1.3815789473684211e-05,
|
883 |
+
"loss": 0.8447,
|
884 |
+
"step": 1250
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.45,
|
888 |
+
"grad_norm": 3.140625,
|
889 |
+
"learning_rate": 1.3800000000000002e-05,
|
890 |
+
"loss": 0.7963,
|
891 |
+
"step": 1260
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.46,
|
895 |
+
"grad_norm": 4.03125,
|
896 |
+
"learning_rate": 1.378421052631579e-05,
|
897 |
+
"loss": 0.7099,
|
898 |
+
"step": 1270
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.46,
|
902 |
+
"grad_norm": 3.765625,
|
903 |
+
"learning_rate": 1.3768421052631579e-05,
|
904 |
+
"loss": 0.8737,
|
905 |
+
"step": 1280
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.46,
|
909 |
+
"grad_norm": 3.921875,
|
910 |
+
"learning_rate": 1.375263157894737e-05,
|
911 |
+
"loss": 0.8896,
|
912 |
+
"step": 1290
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.47,
|
916 |
+
"grad_norm": 3.640625,
|
917 |
+
"learning_rate": 1.3736842105263158e-05,
|
918 |
+
"loss": 0.8224,
|
919 |
+
"step": 1300
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.47,
|
923 |
+
"grad_norm": 3.796875,
|
924 |
+
"learning_rate": 1.3721052631578948e-05,
|
925 |
+
"loss": 0.7736,
|
926 |
+
"step": 1310
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.47,
|
930 |
+
"grad_norm": 4.65625,
|
931 |
+
"learning_rate": 1.3705263157894737e-05,
|
932 |
+
"loss": 0.8416,
|
933 |
+
"step": 1320
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.48,
|
937 |
+
"grad_norm": 2.828125,
|
938 |
+
"learning_rate": 1.3689473684210527e-05,
|
939 |
+
"loss": 0.7371,
|
940 |
+
"step": 1330
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.48,
|
944 |
+
"grad_norm": 3.3125,
|
945 |
+
"learning_rate": 1.3673684210526316e-05,
|
946 |
+
"loss": 0.9159,
|
947 |
+
"step": 1340
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.48,
|
951 |
+
"grad_norm": 4.625,
|
952 |
+
"learning_rate": 1.3657894736842106e-05,
|
953 |
+
"loss": 0.8392,
|
954 |
+
"step": 1350
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.49,
|
958 |
+
"grad_norm": 3.609375,
|
959 |
+
"learning_rate": 1.3642105263157895e-05,
|
960 |
+
"loss": 0.7774,
|
961 |
+
"step": 1360
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.49,
|
965 |
+
"grad_norm": 4.1875,
|
966 |
+
"learning_rate": 1.3626315789473684e-05,
|
967 |
+
"loss": 0.9497,
|
968 |
+
"step": 1370
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.49,
|
972 |
+
"grad_norm": 2.71875,
|
973 |
+
"learning_rate": 1.3610526315789474e-05,
|
974 |
+
"loss": 0.8797,
|
975 |
+
"step": 1380
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.5,
|
979 |
+
"grad_norm": 2.265625,
|
980 |
+
"learning_rate": 1.3594736842105263e-05,
|
981 |
+
"loss": 0.8666,
|
982 |
+
"step": 1390
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.5,
|
986 |
+
"grad_norm": 3.96875,
|
987 |
+
"learning_rate": 1.3578947368421053e-05,
|
988 |
+
"loss": 0.9691,
|
989 |
+
"step": 1400
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.51,
|
993 |
+
"grad_norm": 5.21875,
|
994 |
+
"learning_rate": 1.3563157894736842e-05,
|
995 |
+
"loss": 0.796,
|
996 |
+
"step": 1410
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.51,
|
1000 |
+
"grad_norm": 2.296875,
|
1001 |
+
"learning_rate": 1.3547368421052634e-05,
|
1002 |
+
"loss": 0.8152,
|
1003 |
+
"step": 1420
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.51,
|
1007 |
+
"grad_norm": 4.0625,
|
1008 |
+
"learning_rate": 1.3531578947368422e-05,
|
1009 |
+
"loss": 0.8702,
|
1010 |
+
"step": 1430
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.52,
|
1014 |
+
"grad_norm": 3.765625,
|
1015 |
+
"learning_rate": 1.3515789473684211e-05,
|
1016 |
+
"loss": 0.8582,
|
1017 |
+
"step": 1440
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.52,
|
1021 |
+
"grad_norm": 4.03125,
|
1022 |
+
"learning_rate": 1.3500000000000001e-05,
|
1023 |
+
"loss": 0.8282,
|
1024 |
+
"step": 1450
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.52,
|
1028 |
+
"grad_norm": 3.859375,
|
1029 |
+
"learning_rate": 1.348421052631579e-05,
|
1030 |
+
"loss": 0.9256,
|
1031 |
+
"step": 1460
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.53,
|
1035 |
+
"grad_norm": 4.6875,
|
1036 |
+
"learning_rate": 1.346842105263158e-05,
|
1037 |
+
"loss": 0.9328,
|
1038 |
+
"step": 1470
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.53,
|
1042 |
+
"grad_norm": 3.5,
|
1043 |
+
"learning_rate": 1.3452631578947369e-05,
|
1044 |
+
"loss": 0.8571,
|
1045 |
+
"step": 1480
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.53,
|
1049 |
+
"grad_norm": 3.609375,
|
1050 |
+
"learning_rate": 1.343684210526316e-05,
|
1051 |
+
"loss": 0.8293,
|
1052 |
+
"step": 1490
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.54,
|
1056 |
+
"grad_norm": 2.96875,
|
1057 |
+
"learning_rate": 1.3421052631578948e-05,
|
1058 |
+
"loss": 0.8282,
|
1059 |
+
"step": 1500
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.54,
|
1063 |
+
"grad_norm": 3.8125,
|
1064 |
+
"learning_rate": 1.3405263157894736e-05,
|
1065 |
+
"loss": 0.8202,
|
1066 |
+
"step": 1510
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.55,
|
1070 |
+
"grad_norm": 3.609375,
|
1071 |
+
"learning_rate": 1.3389473684210527e-05,
|
1072 |
+
"loss": 0.9545,
|
1073 |
+
"step": 1520
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.55,
|
1077 |
+
"grad_norm": 4.625,
|
1078 |
+
"learning_rate": 1.3373684210526315e-05,
|
1079 |
+
"loss": 0.8083,
|
1080 |
+
"step": 1530
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.55,
|
1084 |
+
"grad_norm": 3.84375,
|
1085 |
+
"learning_rate": 1.3357894736842106e-05,
|
1086 |
+
"loss": 0.8865,
|
1087 |
+
"step": 1540
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.56,
|
1091 |
+
"grad_norm": 3.875,
|
1092 |
+
"learning_rate": 1.3342105263157894e-05,
|
1093 |
+
"loss": 0.7867,
|
1094 |
+
"step": 1550
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.56,
|
1098 |
+
"grad_norm": 3.203125,
|
1099 |
+
"learning_rate": 1.3326315789473685e-05,
|
1100 |
+
"loss": 0.7882,
|
1101 |
+
"step": 1560
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.56,
|
1105 |
+
"grad_norm": 3.90625,
|
1106 |
+
"learning_rate": 1.3310526315789473e-05,
|
1107 |
+
"loss": 0.7837,
|
1108 |
+
"step": 1570
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.57,
|
1112 |
+
"grad_norm": 5.125,
|
1113 |
+
"learning_rate": 1.3294736842105262e-05,
|
1114 |
+
"loss": 0.9198,
|
1115 |
+
"step": 1580
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.57,
|
1119 |
+
"grad_norm": 3.4375,
|
1120 |
+
"learning_rate": 1.3278947368421054e-05,
|
1121 |
+
"loss": 0.849,
|
1122 |
+
"step": 1590
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.57,
|
1126 |
+
"grad_norm": 2.796875,
|
1127 |
+
"learning_rate": 1.3263157894736843e-05,
|
1128 |
+
"loss": 0.894,
|
1129 |
+
"step": 1600
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.58,
|
1133 |
+
"grad_norm": 2.953125,
|
1134 |
+
"learning_rate": 1.3247368421052633e-05,
|
1135 |
+
"loss": 0.8318,
|
1136 |
+
"step": 1610
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.58,
|
1140 |
+
"grad_norm": 3.703125,
|
1141 |
+
"learning_rate": 1.3231578947368422e-05,
|
1142 |
+
"loss": 0.7787,
|
1143 |
+
"step": 1620
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.58,
|
1147 |
+
"grad_norm": 5.0,
|
1148 |
+
"learning_rate": 1.3215789473684212e-05,
|
1149 |
+
"loss": 0.8853,
|
1150 |
+
"step": 1630
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.59,
|
1154 |
+
"grad_norm": 4.1875,
|
1155 |
+
"learning_rate": 1.32e-05,
|
1156 |
+
"loss": 0.9163,
|
1157 |
+
"step": 1640
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.59,
|
1161 |
+
"grad_norm": 3.6875,
|
1162 |
+
"learning_rate": 1.318421052631579e-05,
|
1163 |
+
"loss": 0.8755,
|
1164 |
+
"step": 1650
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.6,
|
1168 |
+
"grad_norm": 3.71875,
|
1169 |
+
"learning_rate": 1.316842105263158e-05,
|
1170 |
+
"loss": 0.8891,
|
1171 |
+
"step": 1660
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.6,
|
1175 |
+
"grad_norm": 3.984375,
|
1176 |
+
"learning_rate": 1.3152631578947368e-05,
|
1177 |
+
"loss": 0.8621,
|
1178 |
+
"step": 1670
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.6,
|
1182 |
+
"grad_norm": 3.28125,
|
1183 |
+
"learning_rate": 1.3136842105263159e-05,
|
1184 |
+
"loss": 0.8613,
|
1185 |
+
"step": 1680
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.61,
|
1189 |
+
"grad_norm": 4.1875,
|
1190 |
+
"learning_rate": 1.3121052631578947e-05,
|
1191 |
+
"loss": 0.8886,
|
1192 |
+
"step": 1690
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.61,
|
1196 |
+
"grad_norm": 3.53125,
|
1197 |
+
"learning_rate": 1.3105263157894738e-05,
|
1198 |
+
"loss": 0.843,
|
1199 |
+
"step": 1700
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.61,
|
1203 |
+
"grad_norm": 3.75,
|
1204 |
+
"learning_rate": 1.3089473684210526e-05,
|
1205 |
+
"loss": 0.8877,
|
1206 |
+
"step": 1710
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.62,
|
1210 |
+
"grad_norm": 4.1875,
|
1211 |
+
"learning_rate": 1.3073684210526315e-05,
|
1212 |
+
"loss": 0.8785,
|
1213 |
+
"step": 1720
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.62,
|
1217 |
+
"grad_norm": 3.78125,
|
1218 |
+
"learning_rate": 1.3057894736842105e-05,
|
1219 |
+
"loss": 0.8878,
|
1220 |
+
"step": 1730
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.62,
|
1224 |
+
"grad_norm": 3.828125,
|
1225 |
+
"learning_rate": 1.3042105263157894e-05,
|
1226 |
+
"loss": 0.8794,
|
1227 |
+
"step": 1740
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.63,
|
1231 |
+
"grad_norm": 4.75,
|
1232 |
+
"learning_rate": 1.3026315789473684e-05,
|
1233 |
+
"loss": 0.8821,
|
1234 |
+
"step": 1750
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.63,
|
1238 |
+
"grad_norm": 4.34375,
|
1239 |
+
"learning_rate": 1.3010526315789475e-05,
|
1240 |
+
"loss": 0.8146,
|
1241 |
+
"step": 1760
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.63,
|
1245 |
+
"grad_norm": 3.953125,
|
1246 |
+
"learning_rate": 1.2994736842105265e-05,
|
1247 |
+
"loss": 0.8322,
|
1248 |
+
"step": 1770
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.64,
|
1252 |
+
"grad_norm": 2.8125,
|
1253 |
+
"learning_rate": 1.2978947368421054e-05,
|
1254 |
+
"loss": 0.8197,
|
1255 |
+
"step": 1780
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.64,
|
1259 |
+
"grad_norm": 4.59375,
|
1260 |
+
"learning_rate": 1.2963157894736842e-05,
|
1261 |
+
"loss": 0.8883,
|
1262 |
+
"step": 1790
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.65,
|
1266 |
+
"grad_norm": 3.609375,
|
1267 |
+
"learning_rate": 1.2947368421052633e-05,
|
1268 |
+
"loss": 0.9259,
|
1269 |
+
"step": 1800
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.65,
|
1273 |
+
"grad_norm": 4.125,
|
1274 |
+
"learning_rate": 1.2931578947368421e-05,
|
1275 |
+
"loss": 0.7667,
|
1276 |
+
"step": 1810
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.65,
|
1280 |
+
"grad_norm": 5.3125,
|
1281 |
+
"learning_rate": 1.2915789473684212e-05,
|
1282 |
+
"loss": 0.9434,
|
1283 |
+
"step": 1820
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.66,
|
1287 |
+
"grad_norm": 3.3125,
|
1288 |
+
"learning_rate": 1.29e-05,
|
1289 |
+
"loss": 0.8081,
|
1290 |
+
"step": 1830
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.66,
|
1294 |
+
"grad_norm": 3.875,
|
1295 |
+
"learning_rate": 1.288421052631579e-05,
|
1296 |
+
"loss": 0.767,
|
1297 |
+
"step": 1840
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.66,
|
1301 |
+
"grad_norm": 4.53125,
|
1302 |
+
"learning_rate": 1.2868421052631579e-05,
|
1303 |
+
"loss": 0.8339,
|
1304 |
+
"step": 1850
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.67,
|
1308 |
+
"grad_norm": 4.0,
|
1309 |
+
"learning_rate": 1.2852631578947368e-05,
|
1310 |
+
"loss": 0.8083,
|
1311 |
+
"step": 1860
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.67,
|
1315 |
+
"grad_norm": 2.828125,
|
1316 |
+
"learning_rate": 1.2836842105263158e-05,
|
1317 |
+
"loss": 0.8255,
|
1318 |
+
"step": 1870
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.67,
|
1322 |
+
"grad_norm": 3.65625,
|
1323 |
+
"learning_rate": 1.2821052631578947e-05,
|
1324 |
+
"loss": 0.8618,
|
1325 |
+
"step": 1880
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.68,
|
1329 |
+
"grad_norm": 4.15625,
|
1330 |
+
"learning_rate": 1.2805263157894737e-05,
|
1331 |
+
"loss": 0.913,
|
1332 |
+
"step": 1890
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.68,
|
1336 |
+
"grad_norm": 4.125,
|
1337 |
+
"learning_rate": 1.2789473684210526e-05,
|
1338 |
+
"loss": 0.7233,
|
1339 |
+
"step": 1900
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.68,
|
1343 |
+
"grad_norm": 4.5625,
|
1344 |
+
"learning_rate": 1.2773684210526316e-05,
|
1345 |
+
"loss": 0.839,
|
1346 |
+
"step": 1910
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.69,
|
1350 |
+
"grad_norm": 2.765625,
|
1351 |
+
"learning_rate": 1.2757894736842106e-05,
|
1352 |
+
"loss": 0.9282,
|
1353 |
+
"step": 1920
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.69,
|
1357 |
+
"grad_norm": 3.3125,
|
1358 |
+
"learning_rate": 1.2742105263157895e-05,
|
1359 |
+
"loss": 0.8012,
|
1360 |
+
"step": 1930
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.7,
|
1364 |
+
"grad_norm": 6.3125,
|
1365 |
+
"learning_rate": 1.2726315789473685e-05,
|
1366 |
+
"loss": 0.7934,
|
1367 |
+
"step": 1940
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.7,
|
1371 |
+
"grad_norm": 2.921875,
|
1372 |
+
"learning_rate": 1.2710526315789474e-05,
|
1373 |
+
"loss": 0.8342,
|
1374 |
+
"step": 1950
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.7,
|
1378 |
+
"grad_norm": 2.96875,
|
1379 |
+
"learning_rate": 1.2694736842105264e-05,
|
1380 |
+
"loss": 0.8319,
|
1381 |
+
"step": 1960
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.71,
|
1385 |
+
"grad_norm": 3.4375,
|
1386 |
+
"learning_rate": 1.2678947368421053e-05,
|
1387 |
+
"loss": 0.855,
|
1388 |
+
"step": 1970
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.71,
|
1392 |
+
"grad_norm": 4.21875,
|
1393 |
+
"learning_rate": 1.2663157894736843e-05,
|
1394 |
+
"loss": 0.8794,
|
1395 |
+
"step": 1980
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.71,
|
1399 |
+
"grad_norm": 4.03125,
|
1400 |
+
"learning_rate": 1.2647368421052632e-05,
|
1401 |
+
"loss": 0.8106,
|
1402 |
+
"step": 1990
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.72,
|
1406 |
+
"grad_norm": 4.84375,
|
1407 |
+
"learning_rate": 1.263157894736842e-05,
|
1408 |
+
"loss": 0.7944,
|
1409 |
+
"step": 2000
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.72,
|
1413 |
+
"eval_loss": 0.964277446269989,
|
1414 |
+
"eval_runtime": 64.3098,
|
1415 |
+
"eval_samples_per_second": 15.55,
|
1416 |
+
"eval_steps_per_second": 15.55,
|
1417 |
+
"step": 2000
|
1418 |
+
},
|
1419 |
+
{
|
1420 |
+
"epoch": 0.72,
|
1421 |
+
"grad_norm": 3.890625,
|
1422 |
+
"learning_rate": 1.2615789473684211e-05,
|
1423 |
+
"loss": 0.7848,
|
1424 |
+
"step": 2010
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 0.72,
|
1428 |
+
"grad_norm": 4.28125,
|
1429 |
+
"learning_rate": 1.26e-05,
|
1430 |
+
"loss": 0.9305,
|
1431 |
+
"step": 2020
|
1432 |
+
},
|
1433 |
+
{
|
1434 |
+
"epoch": 0.73,
|
1435 |
+
"grad_norm": 3.125,
|
1436 |
+
"learning_rate": 1.258421052631579e-05,
|
1437 |
+
"loss": 0.8509,
|
1438 |
+
"step": 2030
|
1439 |
+
},
|
1440 |
+
{
|
1441 |
+
"epoch": 0.73,
|
1442 |
+
"grad_norm": 3.078125,
|
1443 |
+
"learning_rate": 1.2568421052631579e-05,
|
1444 |
+
"loss": 0.7565,
|
1445 |
+
"step": 2040
|
1446 |
+
},
|
1447 |
+
{
|
1448 |
+
"epoch": 0.74,
|
1449 |
+
"grad_norm": 7.125,
|
1450 |
+
"learning_rate": 1.2552631578947369e-05,
|
1451 |
+
"loss": 0.892,
|
1452 |
+
"step": 2050
|
1453 |
+
},
|
1454 |
+
{
|
1455 |
+
"epoch": 0.74,
|
1456 |
+
"grad_norm": 4.625,
|
1457 |
+
"learning_rate": 1.2536842105263158e-05,
|
1458 |
+
"loss": 0.7951,
|
1459 |
+
"step": 2060
|
1460 |
+
},
|
1461 |
+
{
|
1462 |
+
"epoch": 0.74,
|
1463 |
+
"grad_norm": 2.90625,
|
1464 |
+
"learning_rate": 1.2521052631578946e-05,
|
1465 |
+
"loss": 0.7561,
|
1466 |
+
"step": 2070
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 0.75,
|
1470 |
+
"grad_norm": 3.15625,
|
1471 |
+
"learning_rate": 1.2505263157894737e-05,
|
1472 |
+
"loss": 0.8431,
|
1473 |
+
"step": 2080
|
1474 |
+
},
|
1475 |
+
{
|
1476 |
+
"epoch": 0.75,
|
1477 |
+
"grad_norm": 3.875,
|
1478 |
+
"learning_rate": 1.2489473684210527e-05,
|
1479 |
+
"loss": 0.8761,
|
1480 |
+
"step": 2090
|
1481 |
+
},
|
1482 |
+
{
|
1483 |
+
"epoch": 0.75,
|
1484 |
+
"grad_norm": 5.09375,
|
1485 |
+
"learning_rate": 1.2473684210526317e-05,
|
1486 |
+
"loss": 0.8271,
|
1487 |
+
"step": 2100
|
1488 |
+
},
|
1489 |
+
{
|
1490 |
+
"epoch": 0.76,
|
1491 |
+
"grad_norm": 3.796875,
|
1492 |
+
"learning_rate": 1.2457894736842106e-05,
|
1493 |
+
"loss": 0.8749,
|
1494 |
+
"step": 2110
|
1495 |
+
},
|
1496 |
+
{
|
1497 |
+
"epoch": 0.76,
|
1498 |
+
"grad_norm": 2.578125,
|
1499 |
+
"learning_rate": 1.2442105263157896e-05,
|
1500 |
+
"loss": 0.8827,
|
1501 |
+
"step": 2120
|
1502 |
+
},
|
1503 |
+
{
|
1504 |
+
"epoch": 0.76,
|
1505 |
+
"grad_norm": 3.390625,
|
1506 |
+
"learning_rate": 1.2426315789473685e-05,
|
1507 |
+
"loss": 0.8542,
|
1508 |
+
"step": 2130
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 0.77,
|
1512 |
+
"grad_norm": 3.34375,
|
1513 |
+
"learning_rate": 1.2410526315789474e-05,
|
1514 |
+
"loss": 0.8718,
|
1515 |
+
"step": 2140
|
1516 |
+
},
|
1517 |
+
{
|
1518 |
+
"epoch": 0.77,
|
1519 |
+
"grad_norm": 3.234375,
|
1520 |
+
"learning_rate": 1.2394736842105264e-05,
|
1521 |
+
"loss": 0.804,
|
1522 |
+
"step": 2150
|
1523 |
+
},
|
1524 |
+
{
|
1525 |
+
"epoch": 0.77,
|
1526 |
+
"grad_norm": 4.375,
|
1527 |
+
"learning_rate": 1.2378947368421053e-05,
|
1528 |
+
"loss": 0.6931,
|
1529 |
+
"step": 2160
|
1530 |
+
},
|
1531 |
+
{
|
1532 |
+
"epoch": 0.78,
|
1533 |
+
"grad_norm": 4.4375,
|
1534 |
+
"learning_rate": 1.2363157894736843e-05,
|
1535 |
+
"loss": 0.8037,
|
1536 |
+
"step": 2170
|
1537 |
+
},
|
1538 |
+
{
|
1539 |
+
"epoch": 0.78,
|
1540 |
+
"grad_norm": 3.09375,
|
1541 |
+
"learning_rate": 1.2347368421052631e-05,
|
1542 |
+
"loss": 0.8514,
|
1543 |
+
"step": 2180
|
1544 |
+
},
|
1545 |
+
{
|
1546 |
+
"epoch": 0.79,
|
1547 |
+
"grad_norm": 3.65625,
|
1548 |
+
"learning_rate": 1.2331578947368422e-05,
|
1549 |
+
"loss": 0.7054,
|
1550 |
+
"step": 2190
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"epoch": 0.79,
|
1554 |
+
"grad_norm": 4.125,
|
1555 |
+
"learning_rate": 1.231578947368421e-05,
|
1556 |
+
"loss": 0.8655,
|
1557 |
+
"step": 2200
|
1558 |
+
},
|
1559 |
+
{
|
1560 |
+
"epoch": 0.79,
|
1561 |
+
"grad_norm": 4.59375,
|
1562 |
+
"learning_rate": 1.2299999999999999e-05,
|
1563 |
+
"loss": 0.7915,
|
1564 |
+
"step": 2210
|
1565 |
+
},
|
1566 |
+
{
|
1567 |
+
"epoch": 0.8,
|
1568 |
+
"grad_norm": 3.875,
|
1569 |
+
"learning_rate": 1.228421052631579e-05,
|
1570 |
+
"loss": 0.7686,
|
1571 |
+
"step": 2220
|
1572 |
+
},
|
1573 |
+
{
|
1574 |
+
"epoch": 0.8,
|
1575 |
+
"grad_norm": 4.25,
|
1576 |
+
"learning_rate": 1.2268421052631578e-05,
|
1577 |
+
"loss": 0.8301,
|
1578 |
+
"step": 2230
|
1579 |
+
},
|
1580 |
+
{
|
1581 |
+
"epoch": 0.8,
|
1582 |
+
"grad_norm": 2.953125,
|
1583 |
+
"learning_rate": 1.2252631578947368e-05,
|
1584 |
+
"loss": 0.8714,
|
1585 |
+
"step": 2240
|
1586 |
+
},
|
1587 |
+
{
|
1588 |
+
"epoch": 0.81,
|
1589 |
+
"grad_norm": 3.1875,
|
1590 |
+
"learning_rate": 1.2236842105263159e-05,
|
1591 |
+
"loss": 0.7753,
|
1592 |
+
"step": 2250
|
1593 |
+
},
|
1594 |
+
{
|
1595 |
+
"epoch": 0.81,
|
1596 |
+
"grad_norm": 3.15625,
|
1597 |
+
"learning_rate": 1.2221052631578949e-05,
|
1598 |
+
"loss": 0.763,
|
1599 |
+
"step": 2260
|
1600 |
+
},
|
1601 |
+
{
|
1602 |
+
"epoch": 0.81,
|
1603 |
+
"grad_norm": 3.015625,
|
1604 |
+
"learning_rate": 1.2205263157894738e-05,
|
1605 |
+
"loss": 0.862,
|
1606 |
+
"step": 2270
|
1607 |
+
},
|
1608 |
+
{
|
1609 |
+
"epoch": 0.82,
|
1610 |
+
"grad_norm": 4.59375,
|
1611 |
+
"learning_rate": 1.2189473684210526e-05,
|
1612 |
+
"loss": 0.7985,
|
1613 |
+
"step": 2280
|
1614 |
+
},
|
1615 |
+
{
|
1616 |
+
"epoch": 0.82,
|
1617 |
+
"grad_norm": 4.6875,
|
1618 |
+
"learning_rate": 1.2173684210526317e-05,
|
1619 |
+
"loss": 0.8335,
|
1620 |
+
"step": 2290
|
1621 |
+
},
|
1622 |
+
{
|
1623 |
+
"epoch": 0.82,
|
1624 |
+
"grad_norm": 3.140625,
|
1625 |
+
"learning_rate": 1.2157894736842105e-05,
|
1626 |
+
"loss": 0.9334,
|
1627 |
+
"step": 2300
|
1628 |
+
},
|
1629 |
+
{
|
1630 |
+
"epoch": 0.83,
|
1631 |
+
"grad_norm": 4.09375,
|
1632 |
+
"learning_rate": 1.2142105263157896e-05,
|
1633 |
+
"loss": 0.8609,
|
1634 |
+
"step": 2310
|
1635 |
+
},
|
1636 |
+
{
|
1637 |
+
"epoch": 0.83,
|
1638 |
+
"grad_norm": 4.25,
|
1639 |
+
"learning_rate": 1.2126315789473684e-05,
|
1640 |
+
"loss": 0.8096,
|
1641 |
+
"step": 2320
|
1642 |
+
},
|
1643 |
+
{
|
1644 |
+
"epoch": 0.84,
|
1645 |
+
"grad_norm": 3.1875,
|
1646 |
+
"learning_rate": 1.2110526315789475e-05,
|
1647 |
+
"loss": 0.9687,
|
1648 |
+
"step": 2330
|
1649 |
+
},
|
1650 |
+
{
|
1651 |
+
"epoch": 0.84,
|
1652 |
+
"grad_norm": 4.6875,
|
1653 |
+
"learning_rate": 1.2094736842105263e-05,
|
1654 |
+
"loss": 0.842,
|
1655 |
+
"step": 2340
|
1656 |
+
},
|
1657 |
+
{
|
1658 |
+
"epoch": 0.84,
|
1659 |
+
"grad_norm": 3.703125,
|
1660 |
+
"learning_rate": 1.2078947368421052e-05,
|
1661 |
+
"loss": 0.7848,
|
1662 |
+
"step": 2350
|
1663 |
+
},
|
1664 |
+
{
|
1665 |
+
"epoch": 0.85,
|
1666 |
+
"grad_norm": 3.625,
|
1667 |
+
"learning_rate": 1.2063157894736842e-05,
|
1668 |
+
"loss": 0.8813,
|
1669 |
+
"step": 2360
|
1670 |
+
},
|
1671 |
+
{
|
1672 |
+
"epoch": 0.85,
|
1673 |
+
"grad_norm": 3.3125,
|
1674 |
+
"learning_rate": 1.2047368421052631e-05,
|
1675 |
+
"loss": 0.8663,
|
1676 |
+
"step": 2370
|
1677 |
+
},
|
1678 |
+
{
|
1679 |
+
"epoch": 0.85,
|
1680 |
+
"grad_norm": 3.625,
|
1681 |
+
"learning_rate": 1.2031578947368421e-05,
|
1682 |
+
"loss": 0.8555,
|
1683 |
+
"step": 2380
|
1684 |
+
},
|
1685 |
+
{
|
1686 |
+
"epoch": 0.86,
|
1687 |
+
"grad_norm": 3.25,
|
1688 |
+
"learning_rate": 1.201578947368421e-05,
|
1689 |
+
"loss": 0.773,
|
1690 |
+
"step": 2390
|
1691 |
+
},
|
1692 |
+
{
|
1693 |
+
"epoch": 0.86,
|
1694 |
+
"grad_norm": 5.03125,
|
1695 |
+
"learning_rate": 1.2e-05,
|
1696 |
+
"loss": 0.8283,
|
1697 |
+
"step": 2400
|
1698 |
+
},
|
1699 |
+
{
|
1700 |
+
"epoch": 0.86,
|
1701 |
+
"grad_norm": 4.375,
|
1702 |
+
"learning_rate": 1.1984210526315789e-05,
|
1703 |
+
"loss": 0.8516,
|
1704 |
+
"step": 2410
|
1705 |
+
},
|
1706 |
+
{
|
1707 |
+
"epoch": 0.87,
|
1708 |
+
"grad_norm": 3.546875,
|
1709 |
+
"learning_rate": 1.196842105263158e-05,
|
1710 |
+
"loss": 0.8842,
|
1711 |
+
"step": 2420
|
1712 |
+
},
|
1713 |
+
{
|
1714 |
+
"epoch": 0.87,
|
1715 |
+
"grad_norm": 3.65625,
|
1716 |
+
"learning_rate": 1.195263157894737e-05,
|
1717 |
+
"loss": 0.8055,
|
1718 |
+
"step": 2430
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 0.88,
|
1722 |
+
"grad_norm": 4.21875,
|
1723 |
+
"learning_rate": 1.1936842105263158e-05,
|
1724 |
+
"loss": 0.9313,
|
1725 |
+
"step": 2440
|
1726 |
+
},
|
1727 |
+
{
|
1728 |
+
"epoch": 0.88,
|
1729 |
+
"grad_norm": 3.515625,
|
1730 |
+
"learning_rate": 1.1921052631578949e-05,
|
1731 |
+
"loss": 0.8737,
|
1732 |
+
"step": 2450
|
1733 |
+
},
|
1734 |
+
{
|
1735 |
+
"epoch": 0.88,
|
1736 |
+
"grad_norm": 5.71875,
|
1737 |
+
"learning_rate": 1.1905263157894737e-05,
|
1738 |
+
"loss": 0.9073,
|
1739 |
+
"step": 2460
|
1740 |
+
},
|
1741 |
+
{
|
1742 |
+
"epoch": 0.89,
|
1743 |
+
"grad_norm": 3.46875,
|
1744 |
+
"learning_rate": 1.1889473684210528e-05,
|
1745 |
+
"loss": 0.8106,
|
1746 |
+
"step": 2470
|
1747 |
+
},
|
1748 |
+
{
|
1749 |
+
"epoch": 0.89,
|
1750 |
+
"grad_norm": 3.09375,
|
1751 |
+
"learning_rate": 1.1873684210526316e-05,
|
1752 |
+
"loss": 0.8151,
|
1753 |
+
"step": 2480
|
1754 |
+
},
|
1755 |
+
{
|
1756 |
+
"epoch": 0.89,
|
1757 |
+
"grad_norm": 3.5625,
|
1758 |
+
"learning_rate": 1.1857894736842105e-05,
|
1759 |
+
"loss": 0.7122,
|
1760 |
+
"step": 2490
|
1761 |
+
},
|
1762 |
+
{
|
1763 |
+
"epoch": 0.9,
|
1764 |
+
"grad_norm": 4.71875,
|
1765 |
+
"learning_rate": 1.1842105263157895e-05,
|
1766 |
+
"loss": 0.8079,
|
1767 |
+
"step": 2500
|
1768 |
+
},
|
1769 |
+
{
|
1770 |
+
"epoch": 0.9,
|
1771 |
+
"grad_norm": 3.1875,
|
1772 |
+
"learning_rate": 1.1826315789473684e-05,
|
1773 |
+
"loss": 0.8578,
|
1774 |
+
"step": 2510
|
1775 |
+
},
|
1776 |
+
{
|
1777 |
+
"epoch": 0.9,
|
1778 |
+
"grad_norm": 4.03125,
|
1779 |
+
"learning_rate": 1.1810526315789474e-05,
|
1780 |
+
"loss": 0.7484,
|
1781 |
+
"step": 2520
|
1782 |
+
},
|
1783 |
+
{
|
1784 |
+
"epoch": 0.91,
|
1785 |
+
"grad_norm": 2.609375,
|
1786 |
+
"learning_rate": 1.1794736842105263e-05,
|
1787 |
+
"loss": 0.8379,
|
1788 |
+
"step": 2530
|
1789 |
+
},
|
1790 |
+
{
|
1791 |
+
"epoch": 0.91,
|
1792 |
+
"grad_norm": 5.125,
|
1793 |
+
"learning_rate": 1.1778947368421053e-05,
|
1794 |
+
"loss": 0.6939,
|
1795 |
+
"step": 2540
|
1796 |
+
},
|
1797 |
+
{
|
1798 |
+
"epoch": 0.91,
|
1799 |
+
"grad_norm": 3.78125,
|
1800 |
+
"learning_rate": 1.1763157894736842e-05,
|
1801 |
+
"loss": 0.8335,
|
1802 |
+
"step": 2550
|
1803 |
+
},
|
1804 |
+
{
|
1805 |
+
"epoch": 0.92,
|
1806 |
+
"grad_norm": 3.8125,
|
1807 |
+
"learning_rate": 1.174736842105263e-05,
|
1808 |
+
"loss": 0.8134,
|
1809 |
+
"step": 2560
|
1810 |
+
},
|
1811 |
+
{
|
1812 |
+
"epoch": 0.92,
|
1813 |
+
"grad_norm": 4.375,
|
1814 |
+
"learning_rate": 1.173157894736842e-05,
|
1815 |
+
"loss": 0.7114,
|
1816 |
+
"step": 2570
|
1817 |
+
},
|
1818 |
+
{
|
1819 |
+
"epoch": 0.93,
|
1820 |
+
"grad_norm": 3.9375,
|
1821 |
+
"learning_rate": 1.171578947368421e-05,
|
1822 |
+
"loss": 0.8255,
|
1823 |
+
"step": 2580
|
1824 |
+
},
|
1825 |
+
{
|
1826 |
+
"epoch": 0.93,
|
1827 |
+
"grad_norm": 3.09375,
|
1828 |
+
"learning_rate": 1.1700000000000001e-05,
|
1829 |
+
"loss": 0.962,
|
1830 |
+
"step": 2590
|
1831 |
+
},
|
1832 |
+
{
|
1833 |
+
"epoch": 0.93,
|
1834 |
+
"grad_norm": 3.890625,
|
1835 |
+
"learning_rate": 1.168421052631579e-05,
|
1836 |
+
"loss": 0.7826,
|
1837 |
+
"step": 2600
|
1838 |
+
},
|
1839 |
+
{
|
1840 |
+
"epoch": 0.94,
|
1841 |
+
"grad_norm": 2.953125,
|
1842 |
+
"learning_rate": 1.166842105263158e-05,
|
1843 |
+
"loss": 0.7567,
|
1844 |
+
"step": 2610
|
1845 |
+
},
|
1846 |
+
{
|
1847 |
+
"epoch": 0.94,
|
1848 |
+
"grad_norm": 3.109375,
|
1849 |
+
"learning_rate": 1.1652631578947369e-05,
|
1850 |
+
"loss": 0.8709,
|
1851 |
+
"step": 2620
|
1852 |
+
},
|
1853 |
+
{
|
1854 |
+
"epoch": 0.94,
|
1855 |
+
"grad_norm": 3.71875,
|
1856 |
+
"learning_rate": 1.1636842105263158e-05,
|
1857 |
+
"loss": 0.8485,
|
1858 |
+
"step": 2630
|
1859 |
+
},
|
1860 |
+
{
|
1861 |
+
"epoch": 0.95,
|
1862 |
+
"grad_norm": 4.125,
|
1863 |
+
"learning_rate": 1.1621052631578948e-05,
|
1864 |
+
"loss": 0.7735,
|
1865 |
+
"step": 2640
|
1866 |
+
},
|
1867 |
+
{
|
1868 |
+
"epoch": 0.95,
|
1869 |
+
"grad_norm": 2.703125,
|
1870 |
+
"learning_rate": 1.1605263157894737e-05,
|
1871 |
+
"loss": 0.7513,
|
1872 |
+
"step": 2650
|
1873 |
+
},
|
1874 |
+
{
|
1875 |
+
"epoch": 0.95,
|
1876 |
+
"grad_norm": 3.484375,
|
1877 |
+
"learning_rate": 1.1589473684210527e-05,
|
1878 |
+
"loss": 0.8615,
|
1879 |
+
"step": 2660
|
1880 |
+
},
|
1881 |
+
{
|
1882 |
+
"epoch": 0.96,
|
1883 |
+
"grad_norm": 3.90625,
|
1884 |
+
"learning_rate": 1.1573684210526316e-05,
|
1885 |
+
"loss": 0.7475,
|
1886 |
+
"step": 2670
|
1887 |
+
},
|
1888 |
+
{
|
1889 |
+
"epoch": 0.96,
|
1890 |
+
"grad_norm": 3.078125,
|
1891 |
+
"learning_rate": 1.1557894736842106e-05,
|
1892 |
+
"loss": 0.7589,
|
1893 |
+
"step": 2680
|
1894 |
+
},
|
1895 |
+
{
|
1896 |
+
"epoch": 0.96,
|
1897 |
+
"grad_norm": 4.8125,
|
1898 |
+
"learning_rate": 1.1542105263157895e-05,
|
1899 |
+
"loss": 0.7037,
|
1900 |
+
"step": 2690
|
1901 |
+
},
|
1902 |
+
{
|
1903 |
+
"epoch": 0.97,
|
1904 |
+
"grad_norm": 2.96875,
|
1905 |
+
"learning_rate": 1.1526315789473683e-05,
|
1906 |
+
"loss": 0.7924,
|
1907 |
+
"step": 2700
|
1908 |
+
},
|
1909 |
+
{
|
1910 |
+
"epoch": 0.97,
|
1911 |
+
"grad_norm": 3.140625,
|
1912 |
+
"learning_rate": 1.1510526315789474e-05,
|
1913 |
+
"loss": 0.7881,
|
1914 |
+
"step": 2710
|
1915 |
+
},
|
1916 |
+
{
|
1917 |
+
"epoch": 0.98,
|
1918 |
+
"grad_norm": 4.03125,
|
1919 |
+
"learning_rate": 1.1494736842105262e-05,
|
1920 |
+
"loss": 0.8313,
|
1921 |
+
"step": 2720
|
1922 |
+
},
|
1923 |
+
{
|
1924 |
+
"epoch": 0.98,
|
1925 |
+
"grad_norm": 3.3125,
|
1926 |
+
"learning_rate": 1.1478947368421053e-05,
|
1927 |
+
"loss": 0.7263,
|
1928 |
+
"step": 2730
|
1929 |
+
},
|
1930 |
+
{
|
1931 |
+
"epoch": 0.98,
|
1932 |
+
"grad_norm": 4.09375,
|
1933 |
+
"learning_rate": 1.1463157894736841e-05,
|
1934 |
+
"loss": 0.894,
|
1935 |
+
"step": 2740
|
1936 |
+
},
|
1937 |
+
{
|
1938 |
+
"epoch": 0.99,
|
1939 |
+
"grad_norm": 2.84375,
|
1940 |
+
"learning_rate": 1.1447368421052632e-05,
|
1941 |
+
"loss": 0.8584,
|
1942 |
+
"step": 2750
|
1943 |
+
},
|
1944 |
+
{
|
1945 |
+
"epoch": 0.99,
|
1946 |
+
"grad_norm": 3.921875,
|
1947 |
+
"learning_rate": 1.1431578947368422e-05,
|
1948 |
+
"loss": 0.8449,
|
1949 |
+
"step": 2760
|
1950 |
+
},
|
1951 |
+
{
|
1952 |
+
"epoch": 0.99,
|
1953 |
+
"grad_norm": 3.0625,
|
1954 |
+
"learning_rate": 1.141578947368421e-05,
|
1955 |
+
"loss": 0.7279,
|
1956 |
+
"step": 2770
|
1957 |
+
},
|
1958 |
+
{
|
1959 |
+
"epoch": 1.0,
|
1960 |
+
"grad_norm": 4.625,
|
1961 |
+
"learning_rate": 1.1400000000000001e-05,
|
1962 |
+
"loss": 0.8696,
|
1963 |
+
"step": 2780
|
1964 |
+
},
|
1965 |
+
{
|
1966 |
+
"epoch": 1.0,
|
1967 |
+
"grad_norm": 3.875,
|
1968 |
+
"learning_rate": 1.138421052631579e-05,
|
1969 |
+
"loss": 0.7332,
|
1970 |
+
"step": 2790
|
1971 |
+
},
|
1972 |
+
{
|
1973 |
+
"epoch": 1.0,
|
1974 |
+
"grad_norm": 2.875,
|
1975 |
+
"learning_rate": 1.136842105263158e-05,
|
1976 |
+
"loss": 0.9731,
|
1977 |
+
"step": 2800
|
1978 |
+
},
|
1979 |
+
{
|
1980 |
+
"epoch": 1.01,
|
1981 |
+
"grad_norm": 3.875,
|
1982 |
+
"learning_rate": 1.1352631578947369e-05,
|
1983 |
+
"loss": 0.7976,
|
1984 |
+
"step": 2810
|
1985 |
+
},
|
1986 |
+
{
|
1987 |
+
"epoch": 1.01,
|
1988 |
+
"grad_norm": 3.4375,
|
1989 |
+
"learning_rate": 1.1336842105263159e-05,
|
1990 |
+
"loss": 0.7155,
|
1991 |
+
"step": 2820
|
1992 |
+
},
|
1993 |
+
{
|
1994 |
+
"epoch": 1.01,
|
1995 |
+
"grad_norm": 3.75,
|
1996 |
+
"learning_rate": 1.1321052631578948e-05,
|
1997 |
+
"loss": 0.6819,
|
1998 |
+
"step": 2830
|
1999 |
+
},
|
2000 |
+
{
|
2001 |
+
"epoch": 1.02,
|
2002 |
+
"grad_norm": 4.0625,
|
2003 |
+
"learning_rate": 1.1305263157894736e-05,
|
2004 |
+
"loss": 0.8241,
|
2005 |
+
"step": 2840
|
2006 |
+
},
|
2007 |
+
{
|
2008 |
+
"epoch": 1.02,
|
2009 |
+
"grad_norm": 3.0625,
|
2010 |
+
"learning_rate": 1.1289473684210527e-05,
|
2011 |
+
"loss": 0.8655,
|
2012 |
+
"step": 2850
|
2013 |
+
},
|
2014 |
+
{
|
2015 |
+
"epoch": 1.03,
|
2016 |
+
"grad_norm": 3.234375,
|
2017 |
+
"learning_rate": 1.1273684210526315e-05,
|
2018 |
+
"loss": 0.7401,
|
2019 |
+
"step": 2860
|
2020 |
+
},
|
2021 |
+
{
|
2022 |
+
"epoch": 1.03,
|
2023 |
+
"grad_norm": 4.28125,
|
2024 |
+
"learning_rate": 1.1257894736842106e-05,
|
2025 |
+
"loss": 0.8938,
|
2026 |
+
"step": 2870
|
2027 |
+
},
|
2028 |
+
{
|
2029 |
+
"epoch": 1.03,
|
2030 |
+
"grad_norm": 3.796875,
|
2031 |
+
"learning_rate": 1.1242105263157894e-05,
|
2032 |
+
"loss": 0.9024,
|
2033 |
+
"step": 2880
|
2034 |
+
},
|
2035 |
+
{
|
2036 |
+
"epoch": 1.04,
|
2037 |
+
"grad_norm": 4.28125,
|
2038 |
+
"learning_rate": 1.1226315789473685e-05,
|
2039 |
+
"loss": 0.7119,
|
2040 |
+
"step": 2890
|
2041 |
+
},
|
2042 |
+
{
|
2043 |
+
"epoch": 1.04,
|
2044 |
+
"grad_norm": 4.03125,
|
2045 |
+
"learning_rate": 1.1210526315789473e-05,
|
2046 |
+
"loss": 0.8225,
|
2047 |
+
"step": 2900
|
2048 |
+
},
|
2049 |
+
{
|
2050 |
+
"epoch": 1.04,
|
2051 |
+
"grad_norm": 3.4375,
|
2052 |
+
"learning_rate": 1.1194736842105264e-05,
|
2053 |
+
"loss": 0.7932,
|
2054 |
+
"step": 2910
|
2055 |
+
},
|
2056 |
+
{
|
2057 |
+
"epoch": 1.05,
|
2058 |
+
"grad_norm": 3.96875,
|
2059 |
+
"learning_rate": 1.1178947368421054e-05,
|
2060 |
+
"loss": 0.8156,
|
2061 |
+
"step": 2920
|
2062 |
+
},
|
2063 |
+
{
|
2064 |
+
"epoch": 1.05,
|
2065 |
+
"grad_norm": 5.15625,
|
2066 |
+
"learning_rate": 1.1163157894736842e-05,
|
2067 |
+
"loss": 0.7501,
|
2068 |
+
"step": 2930
|
2069 |
+
},
|
2070 |
+
{
|
2071 |
+
"epoch": 1.05,
|
2072 |
+
"grad_norm": 4.5,
|
2073 |
+
"learning_rate": 1.1147368421052633e-05,
|
2074 |
+
"loss": 0.8522,
|
2075 |
+
"step": 2940
|
2076 |
+
},
|
2077 |
+
{
|
2078 |
+
"epoch": 1.06,
|
2079 |
+
"grad_norm": 3.21875,
|
2080 |
+
"learning_rate": 1.1131578947368421e-05,
|
2081 |
+
"loss": 0.7594,
|
2082 |
+
"step": 2950
|
2083 |
+
},
|
2084 |
+
{
|
2085 |
+
"epoch": 1.06,
|
2086 |
+
"grad_norm": 2.609375,
|
2087 |
+
"learning_rate": 1.1115789473684212e-05,
|
2088 |
+
"loss": 0.7883,
|
2089 |
+
"step": 2960
|
2090 |
+
},
|
2091 |
+
{
|
2092 |
+
"epoch": 1.07,
|
2093 |
+
"grad_norm": 3.453125,
|
2094 |
+
"learning_rate": 1.11e-05,
|
2095 |
+
"loss": 0.7622,
|
2096 |
+
"step": 2970
|
2097 |
+
},
|
2098 |
+
{
|
2099 |
+
"epoch": 1.07,
|
2100 |
+
"grad_norm": 4.09375,
|
2101 |
+
"learning_rate": 1.108421052631579e-05,
|
2102 |
+
"loss": 0.7797,
|
2103 |
+
"step": 2980
|
2104 |
+
},
|
2105 |
+
{
|
2106 |
+
"epoch": 1.07,
|
2107 |
+
"grad_norm": 3.78125,
|
2108 |
+
"learning_rate": 1.106842105263158e-05,
|
2109 |
+
"loss": 0.7898,
|
2110 |
+
"step": 2990
|
2111 |
+
},
|
2112 |
+
{
|
2113 |
+
"epoch": 1.08,
|
2114 |
+
"grad_norm": 4.0,
|
2115 |
+
"learning_rate": 1.1052631578947368e-05,
|
2116 |
+
"loss": 0.8001,
|
2117 |
+
"step": 3000
|
2118 |
+
},
|
2119 |
+
{
|
2120 |
+
"epoch": 1.08,
|
2121 |
+
"grad_norm": 3.59375,
|
2122 |
+
"learning_rate": 1.1036842105263158e-05,
|
2123 |
+
"loss": 0.8653,
|
2124 |
+
"step": 3010
|
2125 |
+
},
|
2126 |
+
{
|
2127 |
+
"epoch": 1.08,
|
2128 |
+
"grad_norm": 3.921875,
|
2129 |
+
"learning_rate": 1.1021052631578947e-05,
|
2130 |
+
"loss": 0.9141,
|
2131 |
+
"step": 3020
|
2132 |
+
},
|
2133 |
+
{
|
2134 |
+
"epoch": 1.09,
|
2135 |
+
"grad_norm": 4.3125,
|
2136 |
+
"learning_rate": 1.1005263157894737e-05,
|
2137 |
+
"loss": 0.8174,
|
2138 |
+
"step": 3030
|
2139 |
+
},
|
2140 |
+
{
|
2141 |
+
"epoch": 1.09,
|
2142 |
+
"grad_norm": 4.0,
|
2143 |
+
"learning_rate": 1.0989473684210526e-05,
|
2144 |
+
"loss": 0.8196,
|
2145 |
+
"step": 3040
|
2146 |
+
},
|
2147 |
+
{
|
2148 |
+
"epoch": 1.09,
|
2149 |
+
"grad_norm": 3.8125,
|
2150 |
+
"learning_rate": 1.0973684210526316e-05,
|
2151 |
+
"loss": 0.7277,
|
2152 |
+
"step": 3050
|
2153 |
+
},
|
2154 |
+
{
|
2155 |
+
"epoch": 1.1,
|
2156 |
+
"grad_norm": 4.375,
|
2157 |
+
"learning_rate": 1.0957894736842105e-05,
|
2158 |
+
"loss": 0.7426,
|
2159 |
+
"step": 3060
|
2160 |
+
},
|
2161 |
+
{
|
2162 |
+
"epoch": 1.1,
|
2163 |
+
"grad_norm": 4.03125,
|
2164 |
+
"learning_rate": 1.0942105263157894e-05,
|
2165 |
+
"loss": 0.7751,
|
2166 |
+
"step": 3070
|
2167 |
+
},
|
2168 |
+
{
|
2169 |
+
"epoch": 1.1,
|
2170 |
+
"grad_norm": 3.140625,
|
2171 |
+
"learning_rate": 1.0926315789473684e-05,
|
2172 |
+
"loss": 0.7859,
|
2173 |
+
"step": 3080
|
2174 |
+
},
|
2175 |
+
{
|
2176 |
+
"epoch": 1.11,
|
2177 |
+
"grad_norm": 2.96875,
|
2178 |
+
"learning_rate": 1.0910526315789474e-05,
|
2179 |
+
"loss": 0.7445,
|
2180 |
+
"step": 3090
|
2181 |
+
},
|
2182 |
+
{
|
2183 |
+
"epoch": 1.11,
|
2184 |
+
"grad_norm": 3.84375,
|
2185 |
+
"learning_rate": 1.0894736842105265e-05,
|
2186 |
+
"loss": 0.7919,
|
2187 |
+
"step": 3100
|
2188 |
+
},
|
2189 |
+
{
|
2190 |
+
"epoch": 1.12,
|
2191 |
+
"grad_norm": 3.734375,
|
2192 |
+
"learning_rate": 1.0878947368421053e-05,
|
2193 |
+
"loss": 0.8279,
|
2194 |
+
"step": 3110
|
2195 |
+
},
|
2196 |
+
{
|
2197 |
+
"epoch": 1.12,
|
2198 |
+
"grad_norm": 4.40625,
|
2199 |
+
"learning_rate": 1.0863157894736844e-05,
|
2200 |
+
"loss": 0.7749,
|
2201 |
+
"step": 3120
|
2202 |
+
},
|
2203 |
+
{
|
2204 |
+
"epoch": 1.12,
|
2205 |
+
"grad_norm": 4.875,
|
2206 |
+
"learning_rate": 1.0847368421052632e-05,
|
2207 |
+
"loss": 0.9269,
|
2208 |
+
"step": 3130
|
2209 |
+
},
|
2210 |
+
{
|
2211 |
+
"epoch": 1.13,
|
2212 |
+
"grad_norm": 3.53125,
|
2213 |
+
"learning_rate": 1.0831578947368421e-05,
|
2214 |
+
"loss": 0.819,
|
2215 |
+
"step": 3140
|
2216 |
+
},
|
2217 |
+
{
|
2218 |
+
"epoch": 1.13,
|
2219 |
+
"grad_norm": 3.40625,
|
2220 |
+
"learning_rate": 1.0815789473684211e-05,
|
2221 |
+
"loss": 0.7356,
|
2222 |
+
"step": 3150
|
2223 |
+
},
|
2224 |
+
{
|
2225 |
+
"epoch": 1.13,
|
2226 |
+
"grad_norm": 4.53125,
|
2227 |
+
"learning_rate": 1.08e-05,
|
2228 |
+
"loss": 0.8045,
|
2229 |
+
"step": 3160
|
2230 |
+
},
|
2231 |
+
{
|
2232 |
+
"epoch": 1.14,
|
2233 |
+
"grad_norm": 4.125,
|
2234 |
+
"learning_rate": 1.078421052631579e-05,
|
2235 |
+
"loss": 0.8847,
|
2236 |
+
"step": 3170
|
2237 |
+
},
|
2238 |
+
{
|
2239 |
+
"epoch": 1.14,
|
2240 |
+
"grad_norm": 3.78125,
|
2241 |
+
"learning_rate": 1.0768421052631579e-05,
|
2242 |
+
"loss": 0.8183,
|
2243 |
+
"step": 3180
|
2244 |
+
},
|
2245 |
+
{
|
2246 |
+
"epoch": 1.14,
|
2247 |
+
"grad_norm": 3.46875,
|
2248 |
+
"learning_rate": 1.075263157894737e-05,
|
2249 |
+
"loss": 0.756,
|
2250 |
+
"step": 3190
|
2251 |
+
},
|
2252 |
+
{
|
2253 |
+
"epoch": 1.15,
|
2254 |
+
"grad_norm": 4.0,
|
2255 |
+
"learning_rate": 1.0736842105263158e-05,
|
2256 |
+
"loss": 0.7879,
|
2257 |
+
"step": 3200
|
2258 |
+
},
|
2259 |
+
{
|
2260 |
+
"epoch": 1.15,
|
2261 |
+
"grad_norm": 4.1875,
|
2262 |
+
"learning_rate": 1.0721052631578947e-05,
|
2263 |
+
"loss": 0.8386,
|
2264 |
+
"step": 3210
|
2265 |
+
},
|
2266 |
+
{
|
2267 |
+
"epoch": 1.15,
|
2268 |
+
"grad_norm": 3.09375,
|
2269 |
+
"learning_rate": 1.0705263157894737e-05,
|
2270 |
+
"loss": 0.798,
|
2271 |
+
"step": 3220
|
2272 |
+
},
|
2273 |
+
{
|
2274 |
+
"epoch": 1.16,
|
2275 |
+
"grad_norm": 4.96875,
|
2276 |
+
"learning_rate": 1.0689473684210526e-05,
|
2277 |
+
"loss": 0.8175,
|
2278 |
+
"step": 3230
|
2279 |
+
},
|
2280 |
+
{
|
2281 |
+
"epoch": 1.16,
|
2282 |
+
"grad_norm": 3.9375,
|
2283 |
+
"learning_rate": 1.0673684210526316e-05,
|
2284 |
+
"loss": 0.7822,
|
2285 |
+
"step": 3240
|
2286 |
+
},
|
2287 |
+
{
|
2288 |
+
"epoch": 1.17,
|
2289 |
+
"grad_norm": 3.09375,
|
2290 |
+
"learning_rate": 1.0657894736842106e-05,
|
2291 |
+
"loss": 0.6839,
|
2292 |
+
"step": 3250
|
2293 |
+
},
|
2294 |
+
{
|
2295 |
+
"epoch": 1.17,
|
2296 |
+
"grad_norm": 3.90625,
|
2297 |
+
"learning_rate": 1.0642105263157897e-05,
|
2298 |
+
"loss": 0.67,
|
2299 |
+
"step": 3260
|
2300 |
+
},
|
2301 |
+
{
|
2302 |
+
"epoch": 1.17,
|
2303 |
+
"grad_norm": 4.0625,
|
2304 |
+
"learning_rate": 1.0626315789473685e-05,
|
2305 |
+
"loss": 0.9422,
|
2306 |
+
"step": 3270
|
2307 |
+
},
|
2308 |
+
{
|
2309 |
+
"epoch": 1.18,
|
2310 |
+
"grad_norm": 3.890625,
|
2311 |
+
"learning_rate": 1.0610526315789474e-05,
|
2312 |
+
"loss": 0.7891,
|
2313 |
+
"step": 3280
|
2314 |
+
},
|
2315 |
+
{
|
2316 |
+
"epoch": 1.18,
|
2317 |
+
"grad_norm": 4.4375,
|
2318 |
+
"learning_rate": 1.0594736842105264e-05,
|
2319 |
+
"loss": 0.7829,
|
2320 |
+
"step": 3290
|
2321 |
+
},
|
2322 |
+
{
|
2323 |
+
"epoch": 1.18,
|
2324 |
+
"grad_norm": 5.1875,
|
2325 |
+
"learning_rate": 1.0578947368421053e-05,
|
2326 |
+
"loss": 0.7444,
|
2327 |
+
"step": 3300
|
2328 |
+
},
|
2329 |
+
{
|
2330 |
+
"epoch": 1.19,
|
2331 |
+
"grad_norm": 4.40625,
|
2332 |
+
"learning_rate": 1.0563157894736843e-05,
|
2333 |
+
"loss": 0.8278,
|
2334 |
+
"step": 3310
|
2335 |
+
},
|
2336 |
+
{
|
2337 |
+
"epoch": 1.19,
|
2338 |
+
"grad_norm": 4.34375,
|
2339 |
+
"learning_rate": 1.0547368421052632e-05,
|
2340 |
+
"loss": 0.8772,
|
2341 |
+
"step": 3320
|
2342 |
+
},
|
2343 |
+
{
|
2344 |
+
"epoch": 1.19,
|
2345 |
+
"grad_norm": 2.40625,
|
2346 |
+
"learning_rate": 1.0531578947368422e-05,
|
2347 |
+
"loss": 0.757,
|
2348 |
+
"step": 3330
|
2349 |
+
},
|
2350 |
+
{
|
2351 |
+
"epoch": 1.2,
|
2352 |
+
"grad_norm": 3.90625,
|
2353 |
+
"learning_rate": 1.051578947368421e-05,
|
2354 |
+
"loss": 0.8061,
|
2355 |
+
"step": 3340
|
2356 |
+
},
|
2357 |
+
{
|
2358 |
+
"epoch": 1.2,
|
2359 |
+
"grad_norm": 3.65625,
|
2360 |
+
"learning_rate": 1.05e-05,
|
2361 |
+
"loss": 0.7796,
|
2362 |
+
"step": 3350
|
2363 |
+
},
|
2364 |
+
{
|
2365 |
+
"epoch": 1.2,
|
2366 |
+
"grad_norm": 4.0625,
|
2367 |
+
"learning_rate": 1.048421052631579e-05,
|
2368 |
+
"loss": 0.7227,
|
2369 |
+
"step": 3360
|
2370 |
+
},
|
2371 |
+
{
|
2372 |
+
"epoch": 1.21,
|
2373 |
+
"grad_norm": 3.984375,
|
2374 |
+
"learning_rate": 1.0468421052631578e-05,
|
2375 |
+
"loss": 0.8646,
|
2376 |
+
"step": 3370
|
2377 |
+
},
|
2378 |
+
{
|
2379 |
+
"epoch": 1.21,
|
2380 |
+
"grad_norm": 4.125,
|
2381 |
+
"learning_rate": 1.0452631578947369e-05,
|
2382 |
+
"loss": 0.7302,
|
2383 |
+
"step": 3380
|
2384 |
+
},
|
2385 |
+
{
|
2386 |
+
"epoch": 1.22,
|
2387 |
+
"grad_norm": 4.03125,
|
2388 |
+
"learning_rate": 1.0436842105263157e-05,
|
2389 |
+
"loss": 0.7628,
|
2390 |
+
"step": 3390
|
2391 |
+
},
|
2392 |
+
{
|
2393 |
+
"epoch": 1.22,
|
2394 |
+
"grad_norm": 3.875,
|
2395 |
+
"learning_rate": 1.0421052631578948e-05,
|
2396 |
+
"loss": 0.7485,
|
2397 |
+
"step": 3400
|
2398 |
+
},
|
2399 |
+
{
|
2400 |
+
"epoch": 1.22,
|
2401 |
+
"grad_norm": 3.171875,
|
2402 |
+
"learning_rate": 1.0405263157894736e-05,
|
2403 |
+
"loss": 0.8089,
|
2404 |
+
"step": 3410
|
2405 |
+
},
|
2406 |
+
{
|
2407 |
+
"epoch": 1.23,
|
2408 |
+
"grad_norm": 3.8125,
|
2409 |
+
"learning_rate": 1.0389473684210527e-05,
|
2410 |
+
"loss": 0.7009,
|
2411 |
+
"step": 3420
|
2412 |
+
},
|
2413 |
+
{
|
2414 |
+
"epoch": 1.23,
|
2415 |
+
"grad_norm": 3.421875,
|
2416 |
+
"learning_rate": 1.0373684210526317e-05,
|
2417 |
+
"loss": 0.7743,
|
2418 |
+
"step": 3430
|
2419 |
+
},
|
2420 |
+
{
|
2421 |
+
"epoch": 1.23,
|
2422 |
+
"grad_norm": 3.828125,
|
2423 |
+
"learning_rate": 1.0357894736842106e-05,
|
2424 |
+
"loss": 0.7733,
|
2425 |
+
"step": 3440
|
2426 |
+
},
|
2427 |
+
{
|
2428 |
+
"epoch": 1.24,
|
2429 |
+
"grad_norm": 3.390625,
|
2430 |
+
"learning_rate": 1.0342105263157896e-05,
|
2431 |
+
"loss": 0.7991,
|
2432 |
+
"step": 3450
|
2433 |
+
},
|
2434 |
+
{
|
2435 |
+
"epoch": 1.24,
|
2436 |
+
"grad_norm": 3.125,
|
2437 |
+
"learning_rate": 1.0326315789473685e-05,
|
2438 |
+
"loss": 0.646,
|
2439 |
+
"step": 3460
|
2440 |
+
},
|
2441 |
+
{
|
2442 |
+
"epoch": 1.24,
|
2443 |
+
"grad_norm": 3.359375,
|
2444 |
+
"learning_rate": 1.0310526315789475e-05,
|
2445 |
+
"loss": 0.8139,
|
2446 |
+
"step": 3470
|
2447 |
+
},
|
2448 |
+
{
|
2449 |
+
"epoch": 1.25,
|
2450 |
+
"grad_norm": 2.90625,
|
2451 |
+
"learning_rate": 1.0294736842105264e-05,
|
2452 |
+
"loss": 0.7434,
|
2453 |
+
"step": 3480
|
2454 |
+
},
|
2455 |
+
{
|
2456 |
+
"epoch": 1.25,
|
2457 |
+
"grad_norm": 4.1875,
|
2458 |
+
"learning_rate": 1.0278947368421052e-05,
|
2459 |
+
"loss": 0.841,
|
2460 |
+
"step": 3490
|
2461 |
+
},
|
2462 |
+
{
|
2463 |
+
"epoch": 1.26,
|
2464 |
+
"grad_norm": 4.0625,
|
2465 |
+
"learning_rate": 1.0263157894736843e-05,
|
2466 |
+
"loss": 0.8342,
|
2467 |
+
"step": 3500
|
2468 |
+
},
|
2469 |
+
{
|
2470 |
+
"epoch": 1.26,
|
2471 |
+
"grad_norm": 2.9375,
|
2472 |
+
"learning_rate": 1.0247368421052631e-05,
|
2473 |
+
"loss": 0.7194,
|
2474 |
+
"step": 3510
|
2475 |
+
},
|
2476 |
+
{
|
2477 |
+
"epoch": 1.26,
|
2478 |
+
"grad_norm": 4.125,
|
2479 |
+
"learning_rate": 1.0231578947368422e-05,
|
2480 |
+
"loss": 0.7291,
|
2481 |
+
"step": 3520
|
2482 |
+
},
|
2483 |
+
{
|
2484 |
+
"epoch": 1.27,
|
2485 |
+
"grad_norm": 4.0,
|
2486 |
+
"learning_rate": 1.021578947368421e-05,
|
2487 |
+
"loss": 0.941,
|
2488 |
+
"step": 3530
|
2489 |
+
},
|
2490 |
+
{
|
2491 |
+
"epoch": 1.27,
|
2492 |
+
"grad_norm": 4.03125,
|
2493 |
+
"learning_rate": 1.02e-05,
|
2494 |
+
"loss": 0.6547,
|
2495 |
+
"step": 3540
|
2496 |
+
},
|
2497 |
+
{
|
2498 |
+
"epoch": 1.27,
|
2499 |
+
"grad_norm": 4.65625,
|
2500 |
+
"learning_rate": 1.018421052631579e-05,
|
2501 |
+
"loss": 0.792,
|
2502 |
+
"step": 3550
|
2503 |
+
},
|
2504 |
+
{
|
2505 |
+
"epoch": 1.28,
|
2506 |
+
"grad_norm": 3.65625,
|
2507 |
+
"learning_rate": 1.0168421052631578e-05,
|
2508 |
+
"loss": 0.7671,
|
2509 |
+
"step": 3560
|
2510 |
+
},
|
2511 |
+
{
|
2512 |
+
"epoch": 1.28,
|
2513 |
+
"grad_norm": 3.75,
|
2514 |
+
"learning_rate": 1.0152631578947368e-05,
|
2515 |
+
"loss": 0.8252,
|
2516 |
+
"step": 3570
|
2517 |
+
},
|
2518 |
+
{
|
2519 |
+
"epoch": 1.28,
|
2520 |
+
"grad_norm": 3.796875,
|
2521 |
+
"learning_rate": 1.0136842105263157e-05,
|
2522 |
+
"loss": 0.7255,
|
2523 |
+
"step": 3580
|
2524 |
+
},
|
2525 |
+
{
|
2526 |
+
"epoch": 1.29,
|
2527 |
+
"grad_norm": 4.75,
|
2528 |
+
"learning_rate": 1.0121052631578949e-05,
|
2529 |
+
"loss": 0.6673,
|
2530 |
+
"step": 3590
|
2531 |
+
},
|
2532 |
+
{
|
2533 |
+
"epoch": 1.29,
|
2534 |
+
"grad_norm": 4.28125,
|
2535 |
+
"learning_rate": 1.0105263157894738e-05,
|
2536 |
+
"loss": 0.8474,
|
2537 |
+
"step": 3600
|
2538 |
+
},
|
2539 |
+
{
|
2540 |
+
"epoch": 1.29,
|
2541 |
+
"grad_norm": 4.96875,
|
2542 |
+
"learning_rate": 1.0089473684210528e-05,
|
2543 |
+
"loss": 0.7781,
|
2544 |
+
"step": 3610
|
2545 |
+
},
|
2546 |
+
{
|
2547 |
+
"epoch": 1.3,
|
2548 |
+
"grad_norm": 4.03125,
|
2549 |
+
"learning_rate": 1.0073684210526317e-05,
|
2550 |
+
"loss": 0.7888,
|
2551 |
+
"step": 3620
|
2552 |
+
},
|
2553 |
+
{
|
2554 |
+
"epoch": 1.3,
|
2555 |
+
"grad_norm": 4.15625,
|
2556 |
+
"learning_rate": 1.0057894736842105e-05,
|
2557 |
+
"loss": 0.759,
|
2558 |
+
"step": 3630
|
2559 |
+
},
|
2560 |
+
{
|
2561 |
+
"epoch": 1.31,
|
2562 |
+
"grad_norm": 3.46875,
|
2563 |
+
"learning_rate": 1.0042105263157896e-05,
|
2564 |
+
"loss": 0.7179,
|
2565 |
+
"step": 3640
|
2566 |
+
},
|
2567 |
+
{
|
2568 |
+
"epoch": 1.31,
|
2569 |
+
"grad_norm": 4.75,
|
2570 |
+
"learning_rate": 1.0026315789473684e-05,
|
2571 |
+
"loss": 0.8623,
|
2572 |
+
"step": 3650
|
2573 |
+
},
|
2574 |
+
{
|
2575 |
+
"epoch": 1.31,
|
2576 |
+
"grad_norm": 3.25,
|
2577 |
+
"learning_rate": 1.0010526315789474e-05,
|
2578 |
+
"loss": 0.8619,
|
2579 |
+
"step": 3660
|
2580 |
+
},
|
2581 |
+
{
|
2582 |
+
"epoch": 1.32,
|
2583 |
+
"grad_norm": 4.15625,
|
2584 |
+
"learning_rate": 9.994736842105263e-06,
|
2585 |
+
"loss": 0.8069,
|
2586 |
+
"step": 3670
|
2587 |
+
},
|
2588 |
+
{
|
2589 |
+
"epoch": 1.32,
|
2590 |
+
"grad_norm": 3.84375,
|
2591 |
+
"learning_rate": 9.978947368421053e-06,
|
2592 |
+
"loss": 0.7284,
|
2593 |
+
"step": 3680
|
2594 |
+
},
|
2595 |
+
{
|
2596 |
+
"epoch": 1.32,
|
2597 |
+
"grad_norm": 4.375,
|
2598 |
+
"learning_rate": 9.963157894736842e-06,
|
2599 |
+
"loss": 0.7016,
|
2600 |
+
"step": 3690
|
2601 |
+
},
|
2602 |
+
{
|
2603 |
+
"epoch": 1.33,
|
2604 |
+
"grad_norm": 2.96875,
|
2605 |
+
"learning_rate": 9.94736842105263e-06,
|
2606 |
+
"loss": 0.8813,
|
2607 |
+
"step": 3700
|
2608 |
+
},
|
2609 |
+
{
|
2610 |
+
"epoch": 1.33,
|
2611 |
+
"grad_norm": 3.203125,
|
2612 |
+
"learning_rate": 9.931578947368421e-06,
|
2613 |
+
"loss": 0.805,
|
2614 |
+
"step": 3710
|
2615 |
+
},
|
2616 |
+
{
|
2617 |
+
"epoch": 1.33,
|
2618 |
+
"grad_norm": 4.03125,
|
2619 |
+
"learning_rate": 9.91578947368421e-06,
|
2620 |
+
"loss": 0.8019,
|
2621 |
+
"step": 3720
|
2622 |
+
},
|
2623 |
+
{
|
2624 |
+
"epoch": 1.34,
|
2625 |
+
"grad_norm": 4.65625,
|
2626 |
+
"learning_rate": 9.9e-06,
|
2627 |
+
"loss": 0.8296,
|
2628 |
+
"step": 3730
|
2629 |
+
},
|
2630 |
+
{
|
2631 |
+
"epoch": 1.34,
|
2632 |
+
"grad_norm": 3.203125,
|
2633 |
+
"learning_rate": 9.884210526315789e-06,
|
2634 |
+
"loss": 0.7661,
|
2635 |
+
"step": 3740
|
2636 |
+
},
|
2637 |
+
{
|
2638 |
+
"epoch": 1.34,
|
2639 |
+
"grad_norm": 3.734375,
|
2640 |
+
"learning_rate": 9.868421052631579e-06,
|
2641 |
+
"loss": 0.8698,
|
2642 |
+
"step": 3750
|
2643 |
+
},
|
2644 |
+
{
|
2645 |
+
"epoch": 1.35,
|
2646 |
+
"grad_norm": 3.09375,
|
2647 |
+
"learning_rate": 9.85263157894737e-06,
|
2648 |
+
"loss": 0.6393,
|
2649 |
+
"step": 3760
|
2650 |
+
},
|
2651 |
+
{
|
2652 |
+
"epoch": 1.35,
|
2653 |
+
"grad_norm": 3.09375,
|
2654 |
+
"learning_rate": 9.836842105263158e-06,
|
2655 |
+
"loss": 0.8669,
|
2656 |
+
"step": 3770
|
2657 |
+
},
|
2658 |
+
{
|
2659 |
+
"epoch": 1.36,
|
2660 |
+
"grad_norm": 3.484375,
|
2661 |
+
"learning_rate": 9.821052631578948e-06,
|
2662 |
+
"loss": 0.6591,
|
2663 |
+
"step": 3780
|
2664 |
+
},
|
2665 |
+
{
|
2666 |
+
"epoch": 1.36,
|
2667 |
+
"grad_norm": 6.09375,
|
2668 |
+
"learning_rate": 9.805263157894737e-06,
|
2669 |
+
"loss": 0.9513,
|
2670 |
+
"step": 3790
|
2671 |
+
},
|
2672 |
+
{
|
2673 |
+
"epoch": 1.36,
|
2674 |
+
"grad_norm": 3.53125,
|
2675 |
+
"learning_rate": 9.789473684210527e-06,
|
2676 |
+
"loss": 0.7733,
|
2677 |
+
"step": 3800
|
2678 |
+
},
|
2679 |
+
{
|
2680 |
+
"epoch": 1.37,
|
2681 |
+
"grad_norm": 4.5,
|
2682 |
+
"learning_rate": 9.773684210526316e-06,
|
2683 |
+
"loss": 0.8546,
|
2684 |
+
"step": 3810
|
2685 |
+
},
|
2686 |
+
{
|
2687 |
+
"epoch": 1.37,
|
2688 |
+
"grad_norm": 3.71875,
|
2689 |
+
"learning_rate": 9.757894736842106e-06,
|
2690 |
+
"loss": 0.7754,
|
2691 |
+
"step": 3820
|
2692 |
+
},
|
2693 |
+
{
|
2694 |
+
"epoch": 1.37,
|
2695 |
+
"grad_norm": 3.65625,
|
2696 |
+
"learning_rate": 9.742105263157895e-06,
|
2697 |
+
"loss": 0.8153,
|
2698 |
+
"step": 3830
|
2699 |
+
},
|
2700 |
+
{
|
2701 |
+
"epoch": 1.38,
|
2702 |
+
"grad_norm": 3.53125,
|
2703 |
+
"learning_rate": 9.726315789473684e-06,
|
2704 |
+
"loss": 0.8027,
|
2705 |
+
"step": 3840
|
2706 |
+
},
|
2707 |
+
{
|
2708 |
+
"epoch": 1.38,
|
2709 |
+
"grad_norm": 4.09375,
|
2710 |
+
"learning_rate": 9.710526315789474e-06,
|
2711 |
+
"loss": 0.7553,
|
2712 |
+
"step": 3850
|
2713 |
+
},
|
2714 |
+
{
|
2715 |
+
"epoch": 1.38,
|
2716 |
+
"grad_norm": 3.5625,
|
2717 |
+
"learning_rate": 9.694736842105263e-06,
|
2718 |
+
"loss": 0.792,
|
2719 |
+
"step": 3860
|
2720 |
+
},
|
2721 |
+
{
|
2722 |
+
"epoch": 1.39,
|
2723 |
+
"grad_norm": 4.5,
|
2724 |
+
"learning_rate": 9.678947368421053e-06,
|
2725 |
+
"loss": 0.8321,
|
2726 |
+
"step": 3870
|
2727 |
+
},
|
2728 |
+
{
|
2729 |
+
"epoch": 1.39,
|
2730 |
+
"grad_norm": 3.296875,
|
2731 |
+
"learning_rate": 9.663157894736842e-06,
|
2732 |
+
"loss": 0.7507,
|
2733 |
+
"step": 3880
|
2734 |
+
},
|
2735 |
+
{
|
2736 |
+
"epoch": 1.4,
|
2737 |
+
"grad_norm": 3.34375,
|
2738 |
+
"learning_rate": 9.647368421052632e-06,
|
2739 |
+
"loss": 0.8785,
|
2740 |
+
"step": 3890
|
2741 |
+
},
|
2742 |
+
{
|
2743 |
+
"epoch": 1.4,
|
2744 |
+
"grad_norm": 3.40625,
|
2745 |
+
"learning_rate": 9.63157894736842e-06,
|
2746 |
+
"loss": 0.8377,
|
2747 |
+
"step": 3900
|
2748 |
+
},
|
2749 |
+
{
|
2750 |
+
"epoch": 1.4,
|
2751 |
+
"grad_norm": 3.125,
|
2752 |
+
"learning_rate": 9.61578947368421e-06,
|
2753 |
+
"loss": 0.7123,
|
2754 |
+
"step": 3910
|
2755 |
+
},
|
2756 |
+
{
|
2757 |
+
"epoch": 1.41,
|
2758 |
+
"grad_norm": 3.796875,
|
2759 |
+
"learning_rate": 9.600000000000001e-06,
|
2760 |
+
"loss": 0.8589,
|
2761 |
+
"step": 3920
|
2762 |
+
},
|
2763 |
+
{
|
2764 |
+
"epoch": 1.41,
|
2765 |
+
"grad_norm": 4.6875,
|
2766 |
+
"learning_rate": 9.58421052631579e-06,
|
2767 |
+
"loss": 0.7271,
|
2768 |
+
"step": 3930
|
2769 |
+
},
|
2770 |
+
{
|
2771 |
+
"epoch": 1.41,
|
2772 |
+
"grad_norm": 4.25,
|
2773 |
+
"learning_rate": 9.56842105263158e-06,
|
2774 |
+
"loss": 0.7599,
|
2775 |
+
"step": 3940
|
2776 |
+
},
|
2777 |
+
{
|
2778 |
+
"epoch": 1.42,
|
2779 |
+
"grad_norm": 4.65625,
|
2780 |
+
"learning_rate": 9.552631578947369e-06,
|
2781 |
+
"loss": 0.8152,
|
2782 |
+
"step": 3950
|
2783 |
+
},
|
2784 |
+
{
|
2785 |
+
"epoch": 1.42,
|
2786 |
+
"grad_norm": 3.21875,
|
2787 |
+
"learning_rate": 9.53684210526316e-06,
|
2788 |
+
"loss": 0.6405,
|
2789 |
+
"step": 3960
|
2790 |
+
},
|
2791 |
+
{
|
2792 |
+
"epoch": 1.42,
|
2793 |
+
"grad_norm": 3.921875,
|
2794 |
+
"learning_rate": 9.521052631578948e-06,
|
2795 |
+
"loss": 0.8223,
|
2796 |
+
"step": 3970
|
2797 |
+
},
|
2798 |
+
{
|
2799 |
+
"epoch": 1.43,
|
2800 |
+
"grad_norm": 4.25,
|
2801 |
+
"learning_rate": 9.505263157894737e-06,
|
2802 |
+
"loss": 0.7384,
|
2803 |
+
"step": 3980
|
2804 |
+
},
|
2805 |
+
{
|
2806 |
+
"epoch": 1.43,
|
2807 |
+
"grad_norm": 2.984375,
|
2808 |
+
"learning_rate": 9.489473684210527e-06,
|
2809 |
+
"loss": 0.7385,
|
2810 |
+
"step": 3990
|
2811 |
+
},
|
2812 |
+
{
|
2813 |
+
"epoch": 1.43,
|
2814 |
+
"grad_norm": 3.421875,
|
2815 |
+
"learning_rate": 9.473684210526315e-06,
|
2816 |
+
"loss": 0.7129,
|
2817 |
+
"step": 4000
|
2818 |
+
},
|
2819 |
+
{
|
2820 |
+
"epoch": 1.43,
|
2821 |
+
"eval_loss": 0.9182843565940857,
|
2822 |
+
"eval_runtime": 64.588,
|
2823 |
+
"eval_samples_per_second": 15.483,
|
2824 |
+
"eval_steps_per_second": 15.483,
|
2825 |
+
"step": 4000
|
2826 |
+
}
|
2827 |
+
],
|
2828 |
+
"logging_steps": 10,
|
2829 |
+
"max_steps": 10000,
|
2830 |
+
"num_input_tokens_seen": 0,
|
2831 |
+
"num_train_epochs": 4,
|
2832 |
+
"save_steps": 2000,
|
2833 |
+
"total_flos": 6.455688167424e+16,
|
2834 |
+
"train_batch_size": 1,
|
2835 |
+
"trial_name": null,
|
2836 |
+
"trial_params": null
|
2837 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a2117a16b6e89539754b8133134b501d16a2d37a505f4e6ac76d53b15dfd4123
|
3 |
+
size 4856
|