HaochenWang commited on
Commit
d7b6a17
·
verified ·
1 Parent(s): a768618

Upload folder using huggingface_hub

Browse files
.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
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
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": 0.9979661016949153,
3
+ "total_flos": 100810460790784.0,
4
+ "train_loss": 0.7222011056931122,
5
+ "train_runtime": 4200.972,
6
+ "train_samples_per_second": 8.426,
7
+ "train_steps_per_second": 0.066
8
+ }
chat_template.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
3
+ }
config.json ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2_5_VLForConditionalGeneration"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": 151643,
7
+ "eos_token_id": 151645,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 3584,
10
+ "image_token_id": 151655,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 18944,
13
+ "max_position_embeddings": 128000,
14
+ "max_window_layers": 28,
15
+ "model_type": "qwen2_5_vl",
16
+ "num_attention_heads": 28,
17
+ "num_hidden_layers": 28,
18
+ "num_key_value_heads": 4,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_scaling": {
21
+ "mrope_section": [
22
+ 16,
23
+ 24,
24
+ 24
25
+ ],
26
+ "rope_type": "default",
27
+ "type": "default"
28
+ },
29
+ "rope_theta": 1000000.0,
30
+ "sliding_window": 32768,
31
+ "tie_word_embeddings": false,
32
+ "torch_dtype": "bfloat16",
33
+ "transformers_version": "4.51.0",
34
+ "use_cache": false,
35
+ "use_sliding_window": false,
36
+ "video_token_id": 151656,
37
+ "vision_config": {
38
+ "depth": 32,
39
+ "fullatt_block_indexes": [
40
+ 7,
41
+ 15,
42
+ 23,
43
+ 31
44
+ ],
45
+ "hidden_act": "silu",
46
+ "hidden_size": 1280,
47
+ "in_channels": 3,
48
+ "in_chans": 3,
49
+ "intermediate_size": 3420,
50
+ "model_type": "qwen2_5_vl",
51
+ "num_heads": 16,
52
+ "out_hidden_size": 3584,
53
+ "patch_size": 14,
54
+ "spatial_merge_size": 2,
55
+ "spatial_patch_size": 14,
56
+ "temporal_patch_size": 2,
57
+ "tokens_per_second": 2,
58
+ "torch_dtype": "float32",
59
+ "window_size": 112
60
+ },
61
+ "vision_end_token_id": 151653,
62
+ "vision_start_token_id": 151652,
63
+ "vision_token_id": 151654,
64
+ "vocab_size": 152064
65
+ }
generation_config.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.05,
10
+ "temperature": 1e-06,
11
+ "transformers_version": "4.51.0"
12
+ }
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:ec976dcb00bd9f7c9a96292c10c9cd429b4138d489d34d1bacc7ca4ab3c88d39
3
+ size 4968243304
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b1bcc74bac66af47b546405a141b90a5a7ec6e689ff74901ebf7f68f855cf05e
3
+ size 4991495816
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8ccba519ebb2961c98c2f1cd8feefce1cccc0e31cf444f6694a9a986d8173537
3
+ size 4932751040
model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a0a6d55cfbc462d64d142857fdb06884c10ec2b9e45dea9c551915c8d2443ba
3
+ size 1691924384
model.safetensors.index.json ADDED
@@ -0,0 +1,736 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 16584333312
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-00003-of-00004.safetensors",
105
+ "model.layers.16.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
106
+ "model.layers.16.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
107
+ "model.layers.16.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
108
+ "model.layers.16.post_attention_layernorm.weight": "model-00003-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-00003-of-00004.safetensors",
117
+ "model.layers.17.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
118
+ "model.layers.17.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
119
+ "model.layers.17.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
120
+ "model.layers.17.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
121
+ "model.layers.17.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
122
+ "model.layers.17.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
123
+ "model.layers.17.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
124
+ "model.layers.17.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
125
+ "model.layers.17.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
126
+ "model.layers.17.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
127
+ "model.layers.17.self_attn.v_proj.weight": "model-00003-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-00003-of-00004.safetensors",
131
+ "model.layers.18.mlp.up_proj.weight": "model-00003-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-00003-of-00004.safetensors",
134
+ "model.layers.18.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
135
+ "model.layers.18.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
136
+ "model.layers.18.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
137
+ "model.layers.18.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
138
+ "model.layers.18.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
139
+ "model.layers.18.self_attn.v_proj.weight": "model-00003-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-00004-of-00004.safetensors",
237
+ "model.layers.26.mlp.down_proj.weight": "model-00004-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-00004-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-00004-of-00004.safetensors",
249
+ "model.layers.27.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
250
+ "model.layers.27.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
251
+ "model.layers.27.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
252
+ "model.layers.27.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
253
+ "model.layers.27.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
254
+ "model.layers.27.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
255
+ "model.layers.27.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
256
+ "model.layers.27.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
257
+ "model.layers.27.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
258
+ "model.layers.27.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
259
+ "model.layers.27.self_attn.v_proj.weight": "model-00004-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-00002-of-00004.safetensors",
285
+ "model.layers.5.mlp.down_proj.weight": "model-00002-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-00002-of-00004.safetensors",
288
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-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-00002-of-00004.safetensors",
297
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
298
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
299
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
300
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
301
+ "model.layers.6.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
302
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
303
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
304
+ "model.layers.6.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
305
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
306
+ "model.layers.6.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
307
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
308
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
309
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
310
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
311
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
312
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
313
+ "model.layers.7.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
314
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
315
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
316
+ "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
317
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
318
+ "model.layers.7.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
319
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-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-00002-of-00004.safetensors",
326
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
327
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
328
+ "model.layers.8.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
329
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
330
+ "model.layers.8.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
331
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-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-00004-of-00004.safetensors",
345
+ "visual.blocks.0.attn.proj.bias": "model-00001-of-00004.safetensors",
346
+ "visual.blocks.0.attn.proj.weight": "model-00001-of-00004.safetensors",
347
+ "visual.blocks.0.attn.qkv.bias": "model-00001-of-00004.safetensors",
348
+ "visual.blocks.0.attn.qkv.weight": "model-00001-of-00004.safetensors",
349
+ "visual.blocks.0.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
350
+ "visual.blocks.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
351
+ "visual.blocks.0.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
352
+ "visual.blocks.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
353
+ "visual.blocks.0.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
354
+ "visual.blocks.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
355
+ "visual.blocks.0.norm1.weight": "model-00001-of-00004.safetensors",
356
+ "visual.blocks.0.norm2.weight": "model-00001-of-00004.safetensors",
357
+ "visual.blocks.1.attn.proj.bias": "model-00001-of-00004.safetensors",
358
+ "visual.blocks.1.attn.proj.weight": "model-00001-of-00004.safetensors",
359
+ "visual.blocks.1.attn.qkv.bias": "model-00001-of-00004.safetensors",
360
+ "visual.blocks.1.attn.qkv.weight": "model-00001-of-00004.safetensors",
361
+ "visual.blocks.1.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
362
+ "visual.blocks.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
363
+ "visual.blocks.1.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
364
+ "visual.blocks.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
365
+ "visual.blocks.1.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
366
+ "visual.blocks.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
367
+ "visual.blocks.1.norm1.weight": "model-00001-of-00004.safetensors",
368
+ "visual.blocks.1.norm2.weight": "model-00001-of-00004.safetensors",
369
+ "visual.blocks.10.attn.proj.bias": "model-00001-of-00004.safetensors",
370
+ "visual.blocks.10.attn.proj.weight": "model-00001-of-00004.safetensors",
371
+ "visual.blocks.10.attn.qkv.bias": "model-00001-of-00004.safetensors",
372
+ "visual.blocks.10.attn.qkv.weight": "model-00001-of-00004.safetensors",
373
+ "visual.blocks.10.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
374
+ "visual.blocks.10.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
375
+ "visual.blocks.10.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
376
+ "visual.blocks.10.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
377
+ "visual.blocks.10.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
378
+ "visual.blocks.10.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
379
+ "visual.blocks.10.norm1.weight": "model-00001-of-00004.safetensors",
380
+ "visual.blocks.10.norm2.weight": "model-00001-of-00004.safetensors",
381
+ "visual.blocks.11.attn.proj.bias": "model-00001-of-00004.safetensors",
382
+ "visual.blocks.11.attn.proj.weight": "model-00001-of-00004.safetensors",
383
+ "visual.blocks.11.attn.qkv.bias": "model-00001-of-00004.safetensors",
384
+ "visual.blocks.11.attn.qkv.weight": "model-00001-of-00004.safetensors",
385
+ "visual.blocks.11.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
386
+ "visual.blocks.11.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
387
+ "visual.blocks.11.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
388
+ "visual.blocks.11.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
389
+ "visual.blocks.11.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
390
+ "visual.blocks.11.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
391
+ "visual.blocks.11.norm1.weight": "model-00001-of-00004.safetensors",
392
+ "visual.blocks.11.norm2.weight": "model-00001-of-00004.safetensors",
393
+ "visual.blocks.12.attn.proj.bias": "model-00001-of-00004.safetensors",
394
+ "visual.blocks.12.attn.proj.weight": "model-00001-of-00004.safetensors",
395
+ "visual.blocks.12.attn.qkv.bias": "model-00001-of-00004.safetensors",
396
+ "visual.blocks.12.attn.qkv.weight": "model-00001-of-00004.safetensors",
397
+ "visual.blocks.12.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
398
+ "visual.blocks.12.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
399
+ "visual.blocks.12.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
400
+ "visual.blocks.12.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
401
+ "visual.blocks.12.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
402
+ "visual.blocks.12.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
403
+ "visual.blocks.12.norm1.weight": "model-00001-of-00004.safetensors",
404
+ "visual.blocks.12.norm2.weight": "model-00001-of-00004.safetensors",
405
+ "visual.blocks.13.attn.proj.bias": "model-00001-of-00004.safetensors",
406
+ "visual.blocks.13.attn.proj.weight": "model-00001-of-00004.safetensors",
407
+ "visual.blocks.13.attn.qkv.bias": "model-00001-of-00004.safetensors",
408
+ "visual.blocks.13.attn.qkv.weight": "model-00001-of-00004.safetensors",
409
+ "visual.blocks.13.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
410
+ "visual.blocks.13.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
411
+ "visual.blocks.13.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
412
+ "visual.blocks.13.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
413
+ "visual.blocks.13.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
414
+ "visual.blocks.13.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
415
+ "visual.blocks.13.norm1.weight": "model-00001-of-00004.safetensors",
416
+ "visual.blocks.13.norm2.weight": "model-00001-of-00004.safetensors",
417
+ "visual.blocks.14.attn.proj.bias": "model-00001-of-00004.safetensors",
418
+ "visual.blocks.14.attn.proj.weight": "model-00001-of-00004.safetensors",
419
+ "visual.blocks.14.attn.qkv.bias": "model-00001-of-00004.safetensors",
420
+ "visual.blocks.14.attn.qkv.weight": "model-00001-of-00004.safetensors",
421
+ "visual.blocks.14.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
422
+ "visual.blocks.14.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
423
+ "visual.blocks.14.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
424
+ "visual.blocks.14.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
425
+ "visual.blocks.14.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
426
+ "visual.blocks.14.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
427
+ "visual.blocks.14.norm1.weight": "model-00001-of-00004.safetensors",
428
+ "visual.blocks.14.norm2.weight": "model-00001-of-00004.safetensors",
429
+ "visual.blocks.15.attn.proj.bias": "model-00001-of-00004.safetensors",
430
+ "visual.blocks.15.attn.proj.weight": "model-00001-of-00004.safetensors",
431
+ "visual.blocks.15.attn.qkv.bias": "model-00001-of-00004.safetensors",
432
+ "visual.blocks.15.attn.qkv.weight": "model-00001-of-00004.safetensors",
433
+ "visual.blocks.15.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
434
+ "visual.blocks.15.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
435
+ "visual.blocks.15.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
436
+ "visual.blocks.15.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
437
+ "visual.blocks.15.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
438
+ "visual.blocks.15.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
439
+ "visual.blocks.15.norm1.weight": "model-00001-of-00004.safetensors",
440
+ "visual.blocks.15.norm2.weight": "model-00001-of-00004.safetensors",
441
+ "visual.blocks.16.attn.proj.bias": "model-00001-of-00004.safetensors",
442
+ "visual.blocks.16.attn.proj.weight": "model-00001-of-00004.safetensors",
443
+ "visual.blocks.16.attn.qkv.bias": "model-00001-of-00004.safetensors",
444
+ "visual.blocks.16.attn.qkv.weight": "model-00001-of-00004.safetensors",
445
+ "visual.blocks.16.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
446
+ "visual.blocks.16.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
447
+ "visual.blocks.16.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
448
+ "visual.blocks.16.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
449
+ "visual.blocks.16.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
450
+ "visual.blocks.16.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
451
+ "visual.blocks.16.norm1.weight": "model-00001-of-00004.safetensors",
452
+ "visual.blocks.16.norm2.weight": "model-00001-of-00004.safetensors",
453
+ "visual.blocks.17.attn.proj.bias": "model-00001-of-00004.safetensors",
454
+ "visual.blocks.17.attn.proj.weight": "model-00001-of-00004.safetensors",
455
+ "visual.blocks.17.attn.qkv.bias": "model-00001-of-00004.safetensors",
456
+ "visual.blocks.17.attn.qkv.weight": "model-00001-of-00004.safetensors",
457
+ "visual.blocks.17.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
458
+ "visual.blocks.17.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
459
+ "visual.blocks.17.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
460
+ "visual.blocks.17.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
461
+ "visual.blocks.17.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
462
+ "visual.blocks.17.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
463
+ "visual.blocks.17.norm1.weight": "model-00001-of-00004.safetensors",
464
+ "visual.blocks.17.norm2.weight": "model-00001-of-00004.safetensors",
465
+ "visual.blocks.18.attn.proj.bias": "model-00001-of-00004.safetensors",
466
+ "visual.blocks.18.attn.proj.weight": "model-00001-of-00004.safetensors",
467
+ "visual.blocks.18.attn.qkv.bias": "model-00001-of-00004.safetensors",
468
+ "visual.blocks.18.attn.qkv.weight": "model-00001-of-00004.safetensors",
469
+ "visual.blocks.18.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
470
+ "visual.blocks.18.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
471
+ "visual.blocks.18.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
472
+ "visual.blocks.18.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
473
+ "visual.blocks.18.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
474
+ "visual.blocks.18.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
475
+ "visual.blocks.18.norm1.weight": "model-00001-of-00004.safetensors",
476
+ "visual.blocks.18.norm2.weight": "model-00001-of-00004.safetensors",
477
+ "visual.blocks.19.attn.proj.bias": "model-00001-of-00004.safetensors",
478
+ "visual.blocks.19.attn.proj.weight": "model-00001-of-00004.safetensors",
479
+ "visual.blocks.19.attn.qkv.bias": "model-00001-of-00004.safetensors",
480
+ "visual.blocks.19.attn.qkv.weight": "model-00001-of-00004.safetensors",
481
+ "visual.blocks.19.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
482
+ "visual.blocks.19.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
483
+ "visual.blocks.19.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
484
+ "visual.blocks.19.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
485
+ "visual.blocks.19.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
486
+ "visual.blocks.19.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
487
+ "visual.blocks.19.norm1.weight": "model-00001-of-00004.safetensors",
488
+ "visual.blocks.19.norm2.weight": "model-00001-of-00004.safetensors",
489
+ "visual.blocks.2.attn.proj.bias": "model-00001-of-00004.safetensors",
490
+ "visual.blocks.2.attn.proj.weight": "model-00001-of-00004.safetensors",
491
+ "visual.blocks.2.attn.qkv.bias": "model-00001-of-00004.safetensors",
492
+ "visual.blocks.2.attn.qkv.weight": "model-00001-of-00004.safetensors",
493
+ "visual.blocks.2.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
494
+ "visual.blocks.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
495
+ "visual.blocks.2.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
496
+ "visual.blocks.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
497
+ "visual.blocks.2.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
498
+ "visual.blocks.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
499
+ "visual.blocks.2.norm1.weight": "model-00001-of-00004.safetensors",
500
+ "visual.blocks.2.norm2.weight": "model-00001-of-00004.safetensors",
501
+ "visual.blocks.20.attn.proj.bias": "model-00001-of-00004.safetensors",
502
+ "visual.blocks.20.attn.proj.weight": "model-00001-of-00004.safetensors",
503
+ "visual.blocks.20.attn.qkv.bias": "model-00001-of-00004.safetensors",
504
+ "visual.blocks.20.attn.qkv.weight": "model-00001-of-00004.safetensors",
505
+ "visual.blocks.20.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
506
+ "visual.blocks.20.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
507
+ "visual.blocks.20.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
508
+ "visual.blocks.20.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
509
+ "visual.blocks.20.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
510
+ "visual.blocks.20.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
511
+ "visual.blocks.20.norm1.weight": "model-00001-of-00004.safetensors",
512
+ "visual.blocks.20.norm2.weight": "model-00001-of-00004.safetensors",
513
+ "visual.blocks.21.attn.proj.bias": "model-00001-of-00004.safetensors",
514
+ "visual.blocks.21.attn.proj.weight": "model-00001-of-00004.safetensors",
515
+ "visual.blocks.21.attn.qkv.bias": "model-00001-of-00004.safetensors",
516
+ "visual.blocks.21.attn.qkv.weight": "model-00001-of-00004.safetensors",
517
+ "visual.blocks.21.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
518
+ "visual.blocks.21.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
519
+ "visual.blocks.21.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
520
+ "visual.blocks.21.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
521
+ "visual.blocks.21.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
522
+ "visual.blocks.21.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
523
+ "visual.blocks.21.norm1.weight": "model-00001-of-00004.safetensors",
524
+ "visual.blocks.21.norm2.weight": "model-00001-of-00004.safetensors",
525
+ "visual.blocks.22.attn.proj.bias": "model-00001-of-00004.safetensors",
526
+ "visual.blocks.22.attn.proj.weight": "model-00001-of-00004.safetensors",
527
+ "visual.blocks.22.attn.qkv.bias": "model-00001-of-00004.safetensors",
528
+ "visual.blocks.22.attn.qkv.weight": "model-00001-of-00004.safetensors",
529
+ "visual.blocks.22.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
530
+ "visual.blocks.22.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
531
+ "visual.blocks.22.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
532
+ "visual.blocks.22.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
533
+ "visual.blocks.22.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
534
+ "visual.blocks.22.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
535
+ "visual.blocks.22.norm1.weight": "model-00001-of-00004.safetensors",
536
+ "visual.blocks.22.norm2.weight": "model-00001-of-00004.safetensors",
537
+ "visual.blocks.23.attn.proj.bias": "model-00001-of-00004.safetensors",
538
+ "visual.blocks.23.attn.proj.weight": "model-00001-of-00004.safetensors",
539
+ "visual.blocks.23.attn.qkv.bias": "model-00001-of-00004.safetensors",
540
+ "visual.blocks.23.attn.qkv.weight": "model-00001-of-00004.safetensors",
541
+ "visual.blocks.23.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
542
+ "visual.blocks.23.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
543
+ "visual.blocks.23.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
544
+ "visual.blocks.23.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
545
+ "visual.blocks.23.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
546
+ "visual.blocks.23.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
547
+ "visual.blocks.23.norm1.weight": "model-00001-of-00004.safetensors",
548
+ "visual.blocks.23.norm2.weight": "model-00001-of-00004.safetensors",
549
+ "visual.blocks.24.attn.proj.bias": "model-00001-of-00004.safetensors",
550
+ "visual.blocks.24.attn.proj.weight": "model-00001-of-00004.safetensors",
551
+ "visual.blocks.24.attn.qkv.bias": "model-00001-of-00004.safetensors",
552
+ "visual.blocks.24.attn.qkv.weight": "model-00001-of-00004.safetensors",
553
+ "visual.blocks.24.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
554
+ "visual.blocks.24.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
555
+ "visual.blocks.24.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
556
+ "visual.blocks.24.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
557
+ "visual.blocks.24.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
558
+ "visual.blocks.24.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
559
+ "visual.blocks.24.norm1.weight": "model-00001-of-00004.safetensors",
560
+ "visual.blocks.24.norm2.weight": "model-00001-of-00004.safetensors",
561
+ "visual.blocks.25.attn.proj.bias": "model-00001-of-00004.safetensors",
562
+ "visual.blocks.25.attn.proj.weight": "model-00001-of-00004.safetensors",
563
+ "visual.blocks.25.attn.qkv.bias": "model-00001-of-00004.safetensors",
564
+ "visual.blocks.25.attn.qkv.weight": "model-00001-of-00004.safetensors",
565
+ "visual.blocks.25.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
566
+ "visual.blocks.25.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
567
+ "visual.blocks.25.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
568
+ "visual.blocks.25.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
569
+ "visual.blocks.25.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
570
+ "visual.blocks.25.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
571
+ "visual.blocks.25.norm1.weight": "model-00001-of-00004.safetensors",
572
+ "visual.blocks.25.norm2.weight": "model-00001-of-00004.safetensors",
573
+ "visual.blocks.26.attn.proj.bias": "model-00001-of-00004.safetensors",
574
+ "visual.blocks.26.attn.proj.weight": "model-00001-of-00004.safetensors",
575
+ "visual.blocks.26.attn.qkv.bias": "model-00001-of-00004.safetensors",
576
+ "visual.blocks.26.attn.qkv.weight": "model-00001-of-00004.safetensors",
577
+ "visual.blocks.26.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
578
+ "visual.blocks.26.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
579
+ "visual.blocks.26.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
580
+ "visual.blocks.26.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
581
+ "visual.blocks.26.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
582
+ "visual.blocks.26.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
583
+ "visual.blocks.26.norm1.weight": "model-00001-of-00004.safetensors",
584
+ "visual.blocks.26.norm2.weight": "model-00001-of-00004.safetensors",
585
+ "visual.blocks.27.attn.proj.bias": "model-00001-of-00004.safetensors",
586
+ "visual.blocks.27.attn.proj.weight": "model-00001-of-00004.safetensors",
587
+ "visual.blocks.27.attn.qkv.bias": "model-00001-of-00004.safetensors",
588
+ "visual.blocks.27.attn.qkv.weight": "model-00001-of-00004.safetensors",
589
+ "visual.blocks.27.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
590
+ "visual.blocks.27.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
591
+ "visual.blocks.27.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
592
+ "visual.blocks.27.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
593
+ "visual.blocks.27.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
594
+ "visual.blocks.27.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
595
+ "visual.blocks.27.norm1.weight": "model-00001-of-00004.safetensors",
596
+ "visual.blocks.27.norm2.weight": "model-00001-of-00004.safetensors",
597
+ "visual.blocks.28.attn.proj.bias": "model-00001-of-00004.safetensors",
598
+ "visual.blocks.28.attn.proj.weight": "model-00001-of-00004.safetensors",
599
+ "visual.blocks.28.attn.qkv.bias": "model-00001-of-00004.safetensors",
600
+ "visual.blocks.28.attn.qkv.weight": "model-00001-of-00004.safetensors",
601
+ "visual.blocks.28.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
602
+ "visual.blocks.28.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
603
+ "visual.blocks.28.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
604
+ "visual.blocks.28.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
605
+ "visual.blocks.28.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
606
+ "visual.blocks.28.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
607
+ "visual.blocks.28.norm1.weight": "model-00001-of-00004.safetensors",
608
+ "visual.blocks.28.norm2.weight": "model-00001-of-00004.safetensors",
609
+ "visual.blocks.29.attn.proj.bias": "model-00001-of-00004.safetensors",
610
+ "visual.blocks.29.attn.proj.weight": "model-00001-of-00004.safetensors",
611
+ "visual.blocks.29.attn.qkv.bias": "model-00001-of-00004.safetensors",
612
+ "visual.blocks.29.attn.qkv.weight": "model-00001-of-00004.safetensors",
613
+ "visual.blocks.29.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
614
+ "visual.blocks.29.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
615
+ "visual.blocks.29.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
616
+ "visual.blocks.29.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
617
+ "visual.blocks.29.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
618
+ "visual.blocks.29.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
619
+ "visual.blocks.29.norm1.weight": "model-00001-of-00004.safetensors",
620
+ "visual.blocks.29.norm2.weight": "model-00001-of-00004.safetensors",
621
+ "visual.blocks.3.attn.proj.bias": "model-00001-of-00004.safetensors",
622
+ "visual.blocks.3.attn.proj.weight": "model-00001-of-00004.safetensors",
623
+ "visual.blocks.3.attn.qkv.bias": "model-00001-of-00004.safetensors",
624
+ "visual.blocks.3.attn.qkv.weight": "model-00001-of-00004.safetensors",
625
+ "visual.blocks.3.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
626
+ "visual.blocks.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
627
+ "visual.blocks.3.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
628
+ "visual.blocks.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
629
+ "visual.blocks.3.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
630
+ "visual.blocks.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
631
+ "visual.blocks.3.norm1.weight": "model-00001-of-00004.safetensors",
632
+ "visual.blocks.3.norm2.weight": "model-00001-of-00004.safetensors",
633
+ "visual.blocks.30.attn.proj.bias": "model-00001-of-00004.safetensors",
634
+ "visual.blocks.30.attn.proj.weight": "model-00001-of-00004.safetensors",
635
+ "visual.blocks.30.attn.qkv.bias": "model-00001-of-00004.safetensors",
636
+ "visual.blocks.30.attn.qkv.weight": "model-00001-of-00004.safetensors",
637
+ "visual.blocks.30.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
638
+ "visual.blocks.30.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
639
+ "visual.blocks.30.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
640
+ "visual.blocks.30.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
641
+ "visual.blocks.30.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
642
+ "visual.blocks.30.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
643
+ "visual.blocks.30.norm1.weight": "model-00001-of-00004.safetensors",
644
+ "visual.blocks.30.norm2.weight": "model-00001-of-00004.safetensors",
645
+ "visual.blocks.31.attn.proj.bias": "model-00001-of-00004.safetensors",
646
+ "visual.blocks.31.attn.proj.weight": "model-00001-of-00004.safetensors",
647
+ "visual.blocks.31.attn.qkv.bias": "model-00001-of-00004.safetensors",
648
+ "visual.blocks.31.attn.qkv.weight": "model-00001-of-00004.safetensors",
649
+ "visual.blocks.31.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
650
+ "visual.blocks.31.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
651
+ "visual.blocks.31.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
652
+ "visual.blocks.31.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
653
+ "visual.blocks.31.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
654
+ "visual.blocks.31.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
655
+ "visual.blocks.31.norm1.weight": "model-00001-of-00004.safetensors",
656
+ "visual.blocks.31.norm2.weight": "model-00001-of-00004.safetensors",
657
+ "visual.blocks.4.attn.proj.bias": "model-00001-of-00004.safetensors",
658
+ "visual.blocks.4.attn.proj.weight": "model-00001-of-00004.safetensors",
659
+ "visual.blocks.4.attn.qkv.bias": "model-00001-of-00004.safetensors",
660
+ "visual.blocks.4.attn.qkv.weight": "model-00001-of-00004.safetensors",
661
+ "visual.blocks.4.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
662
+ "visual.blocks.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
663
+ "visual.blocks.4.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
664
+ "visual.blocks.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
665
+ "visual.blocks.4.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
666
+ "visual.blocks.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
667
+ "visual.blocks.4.norm1.weight": "model-00001-of-00004.safetensors",
668
+ "visual.blocks.4.norm2.weight": "model-00001-of-00004.safetensors",
669
+ "visual.blocks.5.attn.proj.bias": "model-00001-of-00004.safetensors",
670
+ "visual.blocks.5.attn.proj.weight": "model-00001-of-00004.safetensors",
671
+ "visual.blocks.5.attn.qkv.bias": "model-00001-of-00004.safetensors",
672
+ "visual.blocks.5.attn.qkv.weight": "model-00001-of-00004.safetensors",
673
+ "visual.blocks.5.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
674
+ "visual.blocks.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
675
+ "visual.blocks.5.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
676
+ "visual.blocks.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
677
+ "visual.blocks.5.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
678
+ "visual.blocks.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
679
+ "visual.blocks.5.norm1.weight": "model-00001-of-00004.safetensors",
680
+ "visual.blocks.5.norm2.weight": "model-00001-of-00004.safetensors",
681
+ "visual.blocks.6.attn.proj.bias": "model-00001-of-00004.safetensors",
682
+ "visual.blocks.6.attn.proj.weight": "model-00001-of-00004.safetensors",
683
+ "visual.blocks.6.attn.qkv.bias": "model-00001-of-00004.safetensors",
684
+ "visual.blocks.6.attn.qkv.weight": "model-00001-of-00004.safetensors",
685
+ "visual.blocks.6.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
686
+ "visual.blocks.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
687
+ "visual.blocks.6.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
688
+ "visual.blocks.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
689
+ "visual.blocks.6.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
690
+ "visual.blocks.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
691
+ "visual.blocks.6.norm1.weight": "model-00001-of-00004.safetensors",
692
+ "visual.blocks.6.norm2.weight": "model-00001-of-00004.safetensors",
693
+ "visual.blocks.7.attn.proj.bias": "model-00001-of-00004.safetensors",
694
+ "visual.blocks.7.attn.proj.weight": "model-00001-of-00004.safetensors",
695
+ "visual.blocks.7.attn.qkv.bias": "model-00001-of-00004.safetensors",
696
+ "visual.blocks.7.attn.qkv.weight": "model-00001-of-00004.safetensors",
697
+ "visual.blocks.7.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
698
+ "visual.blocks.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
699
+ "visual.blocks.7.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
700
+ "visual.blocks.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
701
+ "visual.blocks.7.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
702
+ "visual.blocks.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
703
+ "visual.blocks.7.norm1.weight": "model-00001-of-00004.safetensors",
704
+ "visual.blocks.7.norm2.weight": "model-00001-of-00004.safetensors",
705
+ "visual.blocks.8.attn.proj.bias": "model-00001-of-00004.safetensors",
706
+ "visual.blocks.8.attn.proj.weight": "model-00001-of-00004.safetensors",
707
+ "visual.blocks.8.attn.qkv.bias": "model-00001-of-00004.safetensors",
708
+ "visual.blocks.8.attn.qkv.weight": "model-00001-of-00004.safetensors",
709
+ "visual.blocks.8.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
710
+ "visual.blocks.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
711
+ "visual.blocks.8.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
712
+ "visual.blocks.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
713
+ "visual.blocks.8.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
714
+ "visual.blocks.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
715
+ "visual.blocks.8.norm1.weight": "model-00001-of-00004.safetensors",
716
+ "visual.blocks.8.norm2.weight": "model-00001-of-00004.safetensors",
717
+ "visual.blocks.9.attn.proj.bias": "model-00001-of-00004.safetensors",
718
+ "visual.blocks.9.attn.proj.weight": "model-00001-of-00004.safetensors",
719
+ "visual.blocks.9.attn.qkv.bias": "model-00001-of-00004.safetensors",
720
+ "visual.blocks.9.attn.qkv.weight": "model-00001-of-00004.safetensors",
721
+ "visual.blocks.9.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
722
+ "visual.blocks.9.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
723
+ "visual.blocks.9.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
724
+ "visual.blocks.9.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
725
+ "visual.blocks.9.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
726
+ "visual.blocks.9.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
727
+ "visual.blocks.9.norm1.weight": "model-00001-of-00004.safetensors",
728
+ "visual.blocks.9.norm2.weight": "model-00001-of-00004.safetensors",
729
+ "visual.merger.ln_q.weight": "model-00001-of-00004.safetensors",
730
+ "visual.merger.mlp.0.bias": "model-00001-of-00004.safetensors",
731
+ "visual.merger.mlp.0.weight": "model-00001-of-00004.safetensors",
732
+ "visual.merger.mlp.2.bias": "model-00001-of-00004.safetensors",
733
+ "visual.merger.mlp.2.weight": "model-00001-of-00004.safetensors",
734
+ "visual.patch_embed.proj.weight": "model-00001-of-00004.safetensors"
735
+ }
736
+ }
preprocessor_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_convert_rgb": true,
3
+ "do_normalize": true,
4
+ "do_rescale": true,
5
+ "do_resize": true,
6
+ "image_mean": [
7
+ 0.48145466,
8
+ 0.4578275,
9
+ 0.40821073
10
+ ],
11
+ "image_processor_type": "Qwen2VLImageProcessor",
12
+ "image_std": [
13
+ 0.26862954,
14
+ 0.26130258,
15
+ 0.27577711
16
+ ],
17
+ "max_pixels": 12845056,
18
+ "merge_size": 2,
19
+ "min_pixels": 3136,
20
+ "patch_size": 14,
21
+ "processor_class": "Qwen2_5_VLProcessor",
22
+ "resample": 3,
23
+ "rescale_factor": 0.00392156862745098,
24
+ "size": {
25
+ "longest_edge": 12845056,
26
+ "shortest_edge": 3136
27
+ },
28
+ "temporal_patch_size": 2
29
+ }
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
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
tokenizer_config.json ADDED
@@ -0,0 +1,210 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|im_end|>",
201
+ "errors": "replace",
202
+ "extra_special_tokens": {},
203
+ "model_max_length": 131072,
204
+ "pad_token": "<|endoftext|>",
205
+ "padding_side": "right",
206
+ "processor_class": "Qwen2_5_VLProcessor",
207
+ "split_special_tokens": false,
208
+ "tokenizer_class": "Qwen2Tokenizer",
209
+ "unk_token": null
210
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 0.9979661016949153,
3
+ "total_flos": 100810460790784.0,
4
+ "train_loss": 0.7222011056931122,
5
+ "train_runtime": 4200.972,
6
+ "train_samples_per_second": 8.426,
7
+ "train_steps_per_second": 0.066
8
+ }
trainer_log.jsonl ADDED
@@ -0,0 +1,277 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"current_steps": 1, "total_steps": 276, "loss": 1.4293, "lr": 0.0, "epoch": 0.003615819209039548, "percentage": 0.36, "elapsed_time": "0:00:19", "remaining_time": "1:28:47"}
2
+ {"current_steps": 2, "total_steps": 276, "loss": 1.4193, "lr": 1.7857142857142858e-07, "epoch": 0.007231638418079096, "percentage": 0.72, "elapsed_time": "0:00:33", "remaining_time": "1:17:22"}
3
+ {"current_steps": 3, "total_steps": 276, "loss": 1.3691, "lr": 3.5714285714285716e-07, "epoch": 0.010847457627118645, "percentage": 1.09, "elapsed_time": "0:00:48", "remaining_time": "1:13:39"}
4
+ {"current_steps": 4, "total_steps": 276, "loss": 1.4337, "lr": 5.357142857142857e-07, "epoch": 0.014463276836158192, "percentage": 1.45, "elapsed_time": "0:01:03", "remaining_time": "1:11:35"}
5
+ {"current_steps": 5, "total_steps": 276, "loss": 1.335, "lr": 7.142857142857143e-07, "epoch": 0.01807909604519774, "percentage": 1.81, "elapsed_time": "0:01:17", "remaining_time": "1:10:17"}
6
+ {"current_steps": 6, "total_steps": 276, "loss": 1.4104, "lr": 8.928571428571429e-07, "epoch": 0.02169491525423729, "percentage": 2.17, "elapsed_time": "0:01:32", "remaining_time": "1:09:28"}
7
+ {"current_steps": 7, "total_steps": 276, "loss": 1.3364, "lr": 1.0714285714285714e-06, "epoch": 0.025310734463276835, "percentage": 2.54, "elapsed_time": "0:01:47", "remaining_time": "1:08:58"}
8
+ {"current_steps": 8, "total_steps": 276, "loss": 1.3289, "lr": 1.25e-06, "epoch": 0.028926553672316384, "percentage": 2.9, "elapsed_time": "0:02:02", "remaining_time": "1:08:23"}
9
+ {"current_steps": 9, "total_steps": 276, "loss": 1.2395, "lr": 1.4285714285714286e-06, "epoch": 0.03254237288135593, "percentage": 3.26, "elapsed_time": "0:02:18", "remaining_time": "1:08:24"}
10
+ {"current_steps": 10, "total_steps": 276, "loss": 1.2597, "lr": 1.6071428571428574e-06, "epoch": 0.03615819209039548, "percentage": 3.62, "elapsed_time": "0:02:32", "remaining_time": "1:07:47"}
11
+ {"current_steps": 11, "total_steps": 276, "loss": 1.1323, "lr": 1.7857142857142859e-06, "epoch": 0.03977401129943503, "percentage": 3.99, "elapsed_time": "0:02:47", "remaining_time": "1:07:19"}
12
+ {"current_steps": 12, "total_steps": 276, "loss": 1.1555, "lr": 1.9642857142857144e-06, "epoch": 0.04338983050847458, "percentage": 4.35, "elapsed_time": "0:03:02", "remaining_time": "1:06:58"}
13
+ {"current_steps": 13, "total_steps": 276, "loss": 1.1208, "lr": 2.1428571428571427e-06, "epoch": 0.04700564971751412, "percentage": 4.71, "elapsed_time": "0:03:17", "remaining_time": "1:06:35"}
14
+ {"current_steps": 14, "total_steps": 276, "loss": 1.1211, "lr": 2.321428571428572e-06, "epoch": 0.05062146892655367, "percentage": 5.07, "elapsed_time": "0:03:32", "remaining_time": "1:06:09"}
15
+ {"current_steps": 15, "total_steps": 276, "loss": 1.0921, "lr": 2.5e-06, "epoch": 0.05423728813559322, "percentage": 5.43, "elapsed_time": "0:03:46", "remaining_time": "1:05:39"}
16
+ {"current_steps": 16, "total_steps": 276, "loss": 1.0519, "lr": 2.6785714285714285e-06, "epoch": 0.05785310734463277, "percentage": 5.8, "elapsed_time": "0:04:01", "remaining_time": "1:05:26"}
17
+ {"current_steps": 17, "total_steps": 276, "loss": 1.0559, "lr": 2.8571428571428573e-06, "epoch": 0.061468926553672316, "percentage": 6.16, "elapsed_time": "0:04:15", "remaining_time": "1:04:58"}
18
+ {"current_steps": 18, "total_steps": 276, "loss": 1.0629, "lr": 3.0357142857142856e-06, "epoch": 0.06508474576271187, "percentage": 6.52, "elapsed_time": "0:04:30", "remaining_time": "1:04:40"}
19
+ {"current_steps": 19, "total_steps": 276, "loss": 1.0244, "lr": 3.2142857142857147e-06, "epoch": 0.06870056497175141, "percentage": 6.88, "elapsed_time": "0:04:45", "remaining_time": "1:04:15"}
20
+ {"current_steps": 20, "total_steps": 276, "loss": 0.9697, "lr": 3.3928571428571435e-06, "epoch": 0.07231638418079096, "percentage": 7.25, "elapsed_time": "0:04:59", "remaining_time": "1:03:50"}
21
+ {"current_steps": 21, "total_steps": 276, "loss": 0.9601, "lr": 3.5714285714285718e-06, "epoch": 0.0759322033898305, "percentage": 7.61, "elapsed_time": "0:05:13", "remaining_time": "1:03:26"}
22
+ {"current_steps": 22, "total_steps": 276, "loss": 0.9409, "lr": 3.7500000000000005e-06, "epoch": 0.07954802259887006, "percentage": 7.97, "elapsed_time": "0:05:28", "remaining_time": "1:03:10"}
23
+ {"current_steps": 23, "total_steps": 276, "loss": 0.9486, "lr": 3.928571428571429e-06, "epoch": 0.0831638418079096, "percentage": 8.33, "elapsed_time": "0:05:42", "remaining_time": "1:02:46"}
24
+ {"current_steps": 24, "total_steps": 276, "loss": 0.8874, "lr": 4.107142857142857e-06, "epoch": 0.08677966101694916, "percentage": 8.7, "elapsed_time": "0:05:57", "remaining_time": "1:02:32"}
25
+ {"current_steps": 25, "total_steps": 276, "loss": 0.8994, "lr": 4.2857142857142855e-06, "epoch": 0.0903954802259887, "percentage": 9.06, "elapsed_time": "0:06:11", "remaining_time": "1:02:13"}
26
+ {"current_steps": 26, "total_steps": 276, "loss": 0.8975, "lr": 4.464285714285715e-06, "epoch": 0.09401129943502824, "percentage": 9.42, "elapsed_time": "0:06:25", "remaining_time": "1:01:51"}
27
+ {"current_steps": 27, "total_steps": 276, "loss": 0.8581, "lr": 4.642857142857144e-06, "epoch": 0.0976271186440678, "percentage": 9.78, "elapsed_time": "0:06:40", "remaining_time": "1:01:30"}
28
+ {"current_steps": 28, "total_steps": 276, "loss": 0.8423, "lr": 4.821428571428572e-06, "epoch": 0.10124293785310734, "percentage": 10.14, "elapsed_time": "0:06:56", "remaining_time": "1:01:28"}
29
+ {"current_steps": 29, "total_steps": 276, "loss": 0.8205, "lr": 5e-06, "epoch": 0.1048587570621469, "percentage": 10.51, "elapsed_time": "0:07:10", "remaining_time": "1:01:08"}
30
+ {"current_steps": 30, "total_steps": 276, "loss": 0.8754, "lr": 4.999799414013322e-06, "epoch": 0.10847457627118644, "percentage": 10.87, "elapsed_time": "0:07:24", "remaining_time": "1:00:47"}
31
+ {"current_steps": 31, "total_steps": 276, "loss": 0.8267, "lr": 4.999197688241076e-06, "epoch": 0.112090395480226, "percentage": 11.23, "elapsed_time": "0:07:39", "remaining_time": "1:00:29"}
32
+ {"current_steps": 32, "total_steps": 276, "loss": 0.8312, "lr": 4.998194919241471e-06, "epoch": 0.11570621468926554, "percentage": 11.59, "elapsed_time": "0:07:53", "remaining_time": "1:00:11"}
33
+ {"current_steps": 33, "total_steps": 276, "loss": 0.7878, "lr": 4.996791267927632e-06, "epoch": 0.11932203389830509, "percentage": 11.96, "elapsed_time": "0:08:08", "remaining_time": "0:59:56"}
34
+ {"current_steps": 34, "total_steps": 276, "loss": 0.7816, "lr": 4.994986959541788e-06, "epoch": 0.12293785310734463, "percentage": 12.32, "elapsed_time": "0:08:23", "remaining_time": "0:59:41"}
35
+ {"current_steps": 35, "total_steps": 276, "loss": 0.7818, "lr": 4.9927822836191185e-06, "epoch": 0.12655367231638417, "percentage": 12.68, "elapsed_time": "0:08:38", "remaining_time": "0:59:27"}
36
+ {"current_steps": 36, "total_steps": 276, "loss": 0.7674, "lr": 4.990177593941303e-06, "epoch": 0.13016949152542373, "percentage": 13.04, "elapsed_time": "0:08:52", "remaining_time": "0:59:12"}
37
+ {"current_steps": 37, "total_steps": 276, "loss": 0.7652, "lr": 4.987173308479738e-06, "epoch": 0.1337853107344633, "percentage": 13.41, "elapsed_time": "0:09:07", "remaining_time": "0:58:56"}
38
+ {"current_steps": 38, "total_steps": 276, "loss": 0.7457, "lr": 4.9837699093284765e-06, "epoch": 0.13740112994350281, "percentage": 13.77, "elapsed_time": "0:09:22", "remaining_time": "0:58:40"}
39
+ {"current_steps": 39, "total_steps": 276, "loss": 0.7943, "lr": 4.9799679426268575e-06, "epoch": 0.14101694915254237, "percentage": 14.13, "elapsed_time": "0:09:37", "remaining_time": "0:58:30"}
40
+ {"current_steps": 40, "total_steps": 276, "loss": 0.7815, "lr": 4.975768018471877e-06, "epoch": 0.14463276836158193, "percentage": 14.49, "elapsed_time": "0:09:53", "remaining_time": "0:58:21"}
41
+ {"current_steps": 41, "total_steps": 276, "loss": 0.7557, "lr": 4.971170810820279e-06, "epoch": 0.14824858757062148, "percentage": 14.86, "elapsed_time": "0:10:08", "remaining_time": "0:58:06"}
42
+ {"current_steps": 42, "total_steps": 276, "loss": 0.7561, "lr": 4.966177057380409e-06, "epoch": 0.151864406779661, "percentage": 15.22, "elapsed_time": "0:10:23", "remaining_time": "0:57:52"}
43
+ {"current_steps": 43, "total_steps": 276, "loss": 0.7474, "lr": 4.960787559493836e-06, "epoch": 0.15548022598870057, "percentage": 15.58, "elapsed_time": "0:10:37", "remaining_time": "0:57:34"}
44
+ {"current_steps": 44, "total_steps": 276, "loss": 0.716, "lr": 4.955003182006761e-06, "epoch": 0.15909604519774012, "percentage": 15.94, "elapsed_time": "0:10:51", "remaining_time": "0:57:16"}
45
+ {"current_steps": 45, "total_steps": 276, "loss": 0.7353, "lr": 4.948824853131237e-06, "epoch": 0.16271186440677965, "percentage": 16.3, "elapsed_time": "0:11:06", "remaining_time": "0:57:01"}
46
+ {"current_steps": 46, "total_steps": 276, "loss": 0.7358, "lr": 4.942253564296217e-06, "epoch": 0.1663276836158192, "percentage": 16.67, "elapsed_time": "0:11:20", "remaining_time": "0:56:44"}
47
+ {"current_steps": 47, "total_steps": 276, "loss": 0.7419, "lr": 4.935290369988468e-06, "epoch": 0.16994350282485876, "percentage": 17.03, "elapsed_time": "0:11:34", "remaining_time": "0:56:26"}
48
+ {"current_steps": 48, "total_steps": 276, "loss": 0.748, "lr": 4.927936387583348e-06, "epoch": 0.17355932203389832, "percentage": 17.39, "elapsed_time": "0:11:49", "remaining_time": "0:56:09"}
49
+ {"current_steps": 49, "total_steps": 276, "loss": 0.7571, "lr": 4.920192797165511e-06, "epoch": 0.17717514124293784, "percentage": 17.75, "elapsed_time": "0:12:04", "remaining_time": "0:55:54"}
50
+ {"current_steps": 50, "total_steps": 276, "loss": 0.7127, "lr": 4.912060841339536e-06, "epoch": 0.1807909604519774, "percentage": 18.12, "elapsed_time": "0:12:18", "remaining_time": "0:55:37"}
51
+ {"current_steps": 51, "total_steps": 276, "loss": 0.7272, "lr": 4.9035418250305314e-06, "epoch": 0.18440677966101696, "percentage": 18.48, "elapsed_time": "0:12:32", "remaining_time": "0:55:21"}
52
+ {"current_steps": 52, "total_steps": 276, "loss": 0.7258, "lr": 4.894637115274728e-06, "epoch": 0.18802259887005648, "percentage": 18.84, "elapsed_time": "0:12:47", "remaining_time": "0:55:05"}
53
+ {"current_steps": 53, "total_steps": 276, "loss": 0.7316, "lr": 4.8853481410001225e-06, "epoch": 0.19163841807909604, "percentage": 19.2, "elapsed_time": "0:13:01", "remaining_time": "0:54:49"}
54
+ {"current_steps": 54, "total_steps": 276, "loss": 0.7551, "lr": 4.875676392797169e-06, "epoch": 0.1952542372881356, "percentage": 19.57, "elapsed_time": "0:13:16", "remaining_time": "0:54:34"}
55
+ {"current_steps": 55, "total_steps": 276, "loss": 0.7446, "lr": 4.865623422679593e-06, "epoch": 0.19887005649717515, "percentage": 19.93, "elapsed_time": "0:13:30", "remaining_time": "0:54:17"}
56
+ {"current_steps": 56, "total_steps": 276, "loss": 0.6955, "lr": 4.855190843835338e-06, "epoch": 0.20248587570621468, "percentage": 20.29, "elapsed_time": "0:13:45", "remaining_time": "0:54:01"}
57
+ {"current_steps": 57, "total_steps": 276, "loss": 0.7214, "lr": 4.844380330367701e-06, "epoch": 0.20610169491525424, "percentage": 20.65, "elapsed_time": "0:13:59", "remaining_time": "0:53:45"}
58
+ {"current_steps": 58, "total_steps": 276, "loss": 0.7386, "lr": 4.833193617026692e-06, "epoch": 0.2097175141242938, "percentage": 21.01, "elapsed_time": "0:14:13", "remaining_time": "0:53:28"}
59
+ {"current_steps": 59, "total_steps": 276, "loss": 0.7156, "lr": 4.821632498930656e-06, "epoch": 0.21333333333333335, "percentage": 21.38, "elapsed_time": "0:14:27", "remaining_time": "0:53:12"}
60
+ {"current_steps": 60, "total_steps": 276, "loss": 0.6961, "lr": 4.809698831278217e-06, "epoch": 0.21694915254237288, "percentage": 21.74, "elapsed_time": "0:14:42", "remaining_time": "0:52:56"}
61
+ {"current_steps": 61, "total_steps": 276, "loss": 0.7223, "lr": 4.797394529050577e-06, "epoch": 0.22056497175141243, "percentage": 22.1, "elapsed_time": "0:14:56", "remaining_time": "0:52:40"}
62
+ {"current_steps": 62, "total_steps": 276, "loss": 0.7157, "lr": 4.784721566704217e-06, "epoch": 0.224180790960452, "percentage": 22.46, "elapsed_time": "0:15:11", "remaining_time": "0:52:24"}
63
+ {"current_steps": 63, "total_steps": 276, "loss": 0.7091, "lr": 4.771681977854062e-06, "epoch": 0.22779661016949151, "percentage": 22.83, "elapsed_time": "0:15:25", "remaining_time": "0:52:09"}
64
+ {"current_steps": 64, "total_steps": 276, "loss": 0.7012, "lr": 4.75827785494715e-06, "epoch": 0.23141242937853107, "percentage": 23.19, "elapsed_time": "0:15:39", "remaining_time": "0:51:52"}
65
+ {"current_steps": 65, "total_steps": 276, "loss": 0.7124, "lr": 4.744511348926855e-06, "epoch": 0.23502824858757063, "percentage": 23.55, "elapsed_time": "0:15:53", "remaining_time": "0:51:36"}
66
+ {"current_steps": 66, "total_steps": 276, "loss": 0.7215, "lr": 4.730384668887731e-06, "epoch": 0.23864406779661018, "percentage": 23.91, "elapsed_time": "0:16:08", "remaining_time": "0:51:20"}
67
+ {"current_steps": 67, "total_steps": 276, "loss": 0.6946, "lr": 4.715900081721021e-06, "epoch": 0.2422598870056497, "percentage": 24.28, "elapsed_time": "0:16:22", "remaining_time": "0:51:04"}
68
+ {"current_steps": 68, "total_steps": 276, "loss": 0.7109, "lr": 4.7010599117508936e-06, "epoch": 0.24587570621468927, "percentage": 24.64, "elapsed_time": "0:16:37", "remaining_time": "0:50:50"}
69
+ {"current_steps": 69, "total_steps": 276, "loss": 0.7092, "lr": 4.685866540361456e-06, "epoch": 0.24949152542372882, "percentage": 25.0, "elapsed_time": "0:16:51", "remaining_time": "0:50:35"}
70
+ {"current_steps": 70, "total_steps": 276, "loss": 0.7055, "lr": 4.670322405614621e-06, "epoch": 0.25310734463276835, "percentage": 25.36, "elapsed_time": "0:17:05", "remaining_time": "0:50:19"}
71
+ {"current_steps": 71, "total_steps": 276, "loss": 0.6878, "lr": 4.654430001858874e-06, "epoch": 0.25672316384180793, "percentage": 25.72, "elapsed_time": "0:17:20", "remaining_time": "0:50:03"}
72
+ {"current_steps": 72, "total_steps": 276, "loss": 0.7222, "lr": 4.638191879329005e-06, "epoch": 0.26033898305084746, "percentage": 26.09, "elapsed_time": "0:17:35", "remaining_time": "0:49:50"}
73
+ {"current_steps": 73, "total_steps": 276, "loss": 0.7237, "lr": 4.621610643736878e-06, "epoch": 0.263954802259887, "percentage": 26.45, "elapsed_time": "0:17:50", "remaining_time": "0:49:37"}
74
+ {"current_steps": 74, "total_steps": 276, "loss": 0.6966, "lr": 4.6046889558532925e-06, "epoch": 0.2675706214689266, "percentage": 26.81, "elapsed_time": "0:18:05", "remaining_time": "0:49:22"}
75
+ {"current_steps": 75, "total_steps": 276, "loss": 0.7018, "lr": 4.587429531081019e-06, "epoch": 0.2711864406779661, "percentage": 27.17, "elapsed_time": "0:18:19", "remaining_time": "0:49:06"}
76
+ {"current_steps": 76, "total_steps": 276, "loss": 0.6548, "lr": 4.569835139019054e-06, "epoch": 0.27480225988700563, "percentage": 27.54, "elapsed_time": "0:18:34", "remaining_time": "0:48:52"}
77
+ {"current_steps": 77, "total_steps": 276, "loss": 0.6976, "lr": 4.551908603018191e-06, "epoch": 0.2784180790960452, "percentage": 27.9, "elapsed_time": "0:18:49", "remaining_time": "0:48:38"}
78
+ {"current_steps": 78, "total_steps": 276, "loss": 0.693, "lr": 4.53365279972796e-06, "epoch": 0.28203389830508474, "percentage": 28.26, "elapsed_time": "0:19:03", "remaining_time": "0:48:23"}
79
+ {"current_steps": 79, "total_steps": 276, "loss": 0.697, "lr": 4.515070658635013e-06, "epoch": 0.28564971751412427, "percentage": 28.62, "elapsed_time": "0:19:18", "remaining_time": "0:48:10"}
80
+ {"current_steps": 80, "total_steps": 276, "loss": 0.7115, "lr": 4.4961651615930344e-06, "epoch": 0.28926553672316385, "percentage": 28.99, "elapsed_time": "0:19:34", "remaining_time": "0:47:56"}
81
+ {"current_steps": 81, "total_steps": 276, "loss": 0.7163, "lr": 4.476939342344246e-06, "epoch": 0.2928813559322034, "percentage": 29.35, "elapsed_time": "0:19:48", "remaining_time": "0:47:41"}
82
+ {"current_steps": 82, "total_steps": 276, "loss": 0.6886, "lr": 4.457396286032589e-06, "epoch": 0.29649717514124296, "percentage": 29.71, "elapsed_time": "0:20:03", "remaining_time": "0:47:28"}
83
+ {"current_steps": 83, "total_steps": 276, "loss": 0.7339, "lr": 4.437539128708647e-06, "epoch": 0.3001129943502825, "percentage": 30.07, "elapsed_time": "0:20:18", "remaining_time": "0:47:14"}
84
+ {"current_steps": 84, "total_steps": 276, "loss": 0.7149, "lr": 4.417371056826417e-06, "epoch": 0.303728813559322, "percentage": 30.43, "elapsed_time": "0:20:33", "remaining_time": "0:47:00"}
85
+ {"current_steps": 85, "total_steps": 276, "loss": 0.6822, "lr": 4.396895306731978e-06, "epoch": 0.3073446327683616, "percentage": 30.8, "elapsed_time": "0:20:48", "remaining_time": "0:46:46"}
86
+ {"current_steps": 86, "total_steps": 276, "loss": 0.6836, "lr": 4.376115164144157e-06, "epoch": 0.31096045197740113, "percentage": 31.16, "elapsed_time": "0:21:03", "remaining_time": "0:46:31"}
87
+ {"current_steps": 87, "total_steps": 276, "loss": 0.7131, "lr": 4.355033963627277e-06, "epoch": 0.31457627118644066, "percentage": 31.52, "elapsed_time": "0:21:18", "remaining_time": "0:46:17"}
88
+ {"current_steps": 88, "total_steps": 276, "loss": 0.6854, "lr": 4.333655088056065e-06, "epoch": 0.31819209039548024, "percentage": 31.88, "elapsed_time": "0:21:33", "remaining_time": "0:46:02"}
89
+ {"current_steps": 89, "total_steps": 276, "loss": 0.7094, "lr": 4.3119819680728e-06, "epoch": 0.32180790960451977, "percentage": 32.25, "elapsed_time": "0:21:47", "remaining_time": "0:45:46"}
90
+ {"current_steps": 90, "total_steps": 276, "loss": 0.6872, "lr": 4.290018081536807e-06, "epoch": 0.3254237288135593, "percentage": 32.61, "elapsed_time": "0:22:01", "remaining_time": "0:45:32"}
91
+ {"current_steps": 91, "total_steps": 276, "loss": 0.7139, "lr": 4.267766952966369e-06, "epoch": 0.3290395480225989, "percentage": 32.97, "elapsed_time": "0:22:16", "remaining_time": "0:45:16"}
92
+ {"current_steps": 92, "total_steps": 276, "loss": 0.6778, "lr": 4.245232152973148e-06, "epoch": 0.3326553672316384, "percentage": 33.33, "elapsed_time": "0:22:30", "remaining_time": "0:45:00"}
93
+ {"current_steps": 93, "total_steps": 276, "loss": 0.6689, "lr": 4.222417297689217e-06, "epoch": 0.336271186440678, "percentage": 33.7, "elapsed_time": "0:22:44", "remaining_time": "0:44:45"}
94
+ {"current_steps": 94, "total_steps": 276, "loss": 0.6894, "lr": 4.199326048186783e-06, "epoch": 0.3398870056497175, "percentage": 34.06, "elapsed_time": "0:22:58", "remaining_time": "0:44:29"}
95
+ {"current_steps": 95, "total_steps": 276, "loss": 0.6554, "lr": 4.175962109890697e-06, "epoch": 0.34350282485875705, "percentage": 34.42, "elapsed_time": "0:23:12", "remaining_time": "0:44:13"}
96
+ {"current_steps": 96, "total_steps": 276, "loss": 0.7023, "lr": 4.152329231983852e-06, "epoch": 0.34711864406779663, "percentage": 34.78, "elapsed_time": "0:23:26", "remaining_time": "0:43:57"}
97
+ {"current_steps": 97, "total_steps": 276, "loss": 0.7107, "lr": 4.128431206805556e-06, "epoch": 0.35073446327683616, "percentage": 35.14, "elapsed_time": "0:23:40", "remaining_time": "0:43:41"}
98
+ {"current_steps": 98, "total_steps": 276, "loss": 0.6894, "lr": 4.104271869242975e-06, "epoch": 0.3543502824858757, "percentage": 35.51, "elapsed_time": "0:23:55", "remaining_time": "0:43:27"}
99
+ {"current_steps": 99, "total_steps": 276, "loss": 0.677, "lr": 4.07985509611576e-06, "epoch": 0.3579661016949153, "percentage": 35.87, "elapsed_time": "0:24:09", "remaining_time": "0:43:12"}
100
+ {"current_steps": 100, "total_steps": 276, "loss": 0.6699, "lr": 4.0551848055539345e-06, "epoch": 0.3615819209039548, "percentage": 36.23, "elapsed_time": "0:24:24", "remaining_time": "0:42:57"}
101
+ {"current_steps": 101, "total_steps": 276, "loss": 0.7368, "lr": 4.030264956369158e-06, "epoch": 0.36519774011299433, "percentage": 36.59, "elapsed_time": "0:24:39", "remaining_time": "0:42:43"}
102
+ {"current_steps": 102, "total_steps": 276, "loss": 0.7034, "lr": 4.005099547419458e-06, "epoch": 0.3688135593220339, "percentage": 36.96, "elapsed_time": "0:24:53", "remaining_time": "0:42:28"}
103
+ {"current_steps": 103, "total_steps": 276, "loss": 0.6837, "lr": 3.979692616967543e-06, "epoch": 0.37242937853107344, "percentage": 37.32, "elapsed_time": "0:25:08", "remaining_time": "0:42:12"}
104
+ {"current_steps": 104, "total_steps": 276, "loss": 0.6875, "lr": 3.9540482420327845e-06, "epoch": 0.37604519774011297, "percentage": 37.68, "elapsed_time": "0:25:22", "remaining_time": "0:41:57"}
105
+ {"current_steps": 105, "total_steps": 276, "loss": 0.6901, "lr": 3.9281705377369814e-06, "epoch": 0.37966101694915255, "percentage": 38.04, "elapsed_time": "0:25:37", "remaining_time": "0:41:43"}
106
+ {"current_steps": 106, "total_steps": 276, "loss": 0.6792, "lr": 3.902063656644012e-06, "epoch": 0.3832768361581921, "percentage": 38.41, "elapsed_time": "0:25:52", "remaining_time": "0:41:29"}
107
+ {"current_steps": 107, "total_steps": 276, "loss": 0.6876, "lr": 3.875731788093478e-06, "epoch": 0.38689265536723166, "percentage": 38.77, "elapsed_time": "0:26:08", "remaining_time": "0:41:17"}
108
+ {"current_steps": 108, "total_steps": 276, "loss": 0.6761, "lr": 3.84917915752845e-06, "epoch": 0.3905084745762712, "percentage": 39.13, "elapsed_time": "0:26:22", "remaining_time": "0:41:01"}
109
+ {"current_steps": 109, "total_steps": 276, "loss": 0.6838, "lr": 3.8224100258174066e-06, "epoch": 0.3941242937853107, "percentage": 39.49, "elapsed_time": "0:26:37", "remaining_time": "0:40:46"}
110
+ {"current_steps": 110, "total_steps": 276, "loss": 0.684, "lr": 3.795428688570505e-06, "epoch": 0.3977401129943503, "percentage": 39.86, "elapsed_time": "0:26:51", "remaining_time": "0:40:32"}
111
+ {"current_steps": 111, "total_steps": 276, "loss": 0.6824, "lr": 3.7682394754502687e-06, "epoch": 0.40135593220338983, "percentage": 40.22, "elapsed_time": "0:27:05", "remaining_time": "0:40:16"}
112
+ {"current_steps": 112, "total_steps": 276, "loss": 0.6969, "lr": 3.7408467494768104e-06, "epoch": 0.40497175141242936, "percentage": 40.58, "elapsed_time": "0:27:19", "remaining_time": "0:40:01"}
113
+ {"current_steps": 113, "total_steps": 276, "loss": 0.7097, "lr": 3.7132549063277033e-06, "epoch": 0.40858757062146894, "percentage": 40.94, "elapsed_time": "0:27:34", "remaining_time": "0:39:46"}
114
+ {"current_steps": 114, "total_steps": 276, "loss": 0.6746, "lr": 3.685468373632613e-06, "epoch": 0.41220338983050847, "percentage": 41.3, "elapsed_time": "0:27:48", "remaining_time": "0:39:31"}
115
+ {"current_steps": 115, "total_steps": 276, "loss": 0.6448, "lr": 3.657491610262802e-06, "epoch": 0.415819209039548, "percentage": 41.67, "elapsed_time": "0:28:03", "remaining_time": "0:39:17"}
116
+ {"current_steps": 116, "total_steps": 276, "loss": 0.6819, "lr": 3.6293291056156178e-06, "epoch": 0.4194350282485876, "percentage": 42.03, "elapsed_time": "0:28:17", "remaining_time": "0:39:01"}
117
+ {"current_steps": 117, "total_steps": 276, "loss": 0.6876, "lr": 3.600985378894086e-06, "epoch": 0.4230508474576271, "percentage": 42.39, "elapsed_time": "0:28:33", "remaining_time": "0:38:47"}
118
+ {"current_steps": 118, "total_steps": 276, "loss": 0.684, "lr": 3.572464978381719e-06, "epoch": 0.4266666666666667, "percentage": 42.75, "elapsed_time": "0:28:47", "remaining_time": "0:38:32"}
119
+ {"current_steps": 119, "total_steps": 276, "loss": 0.6505, "lr": 3.5437724807126583e-06, "epoch": 0.4302824858757062, "percentage": 43.12, "elapsed_time": "0:29:01", "remaining_time": "0:38:18"}
120
+ {"current_steps": 120, "total_steps": 276, "loss": 0.6357, "lr": 3.514912490137268e-06, "epoch": 0.43389830508474575, "percentage": 43.48, "elapsed_time": "0:29:16", "remaining_time": "0:38:03"}
121
+ {"current_steps": 121, "total_steps": 276, "loss": 0.6716, "lr": 3.4858896377832966e-06, "epoch": 0.43751412429378533, "percentage": 43.84, "elapsed_time": "0:29:30", "remaining_time": "0:37:47"}
122
+ {"current_steps": 122, "total_steps": 276, "loss": 0.6749, "lr": 3.4567085809127247e-06, "epoch": 0.44112994350282486, "percentage": 44.2, "elapsed_time": "0:29:44", "remaining_time": "0:37:32"}
123
+ {"current_steps": 123, "total_steps": 276, "loss": 0.6675, "lr": 3.42737400217442e-06, "epoch": 0.4447457627118644, "percentage": 44.57, "elapsed_time": "0:29:58", "remaining_time": "0:37:17"}
124
+ {"current_steps": 124, "total_steps": 276, "loss": 0.6795, "lr": 3.397890608852718e-06, "epoch": 0.448361581920904, "percentage": 44.93, "elapsed_time": "0:30:13", "remaining_time": "0:37:03"}
125
+ {"current_steps": 125, "total_steps": 276, "loss": 0.6834, "lr": 3.3682631321120507e-06, "epoch": 0.4519774011299435, "percentage": 45.29, "elapsed_time": "0:30:27", "remaining_time": "0:36:47"}
126
+ {"current_steps": 126, "total_steps": 276, "loss": 0.6546, "lr": 3.3384963262377434e-06, "epoch": 0.45559322033898303, "percentage": 45.65, "elapsed_time": "0:30:42", "remaining_time": "0:36:33"}
127
+ {"current_steps": 127, "total_steps": 276, "loss": 0.6687, "lr": 3.3085949678730953e-06, "epoch": 0.4592090395480226, "percentage": 46.01, "elapsed_time": "0:30:56", "remaining_time": "0:36:18"}
128
+ {"current_steps": 128, "total_steps": 276, "loss": 0.6927, "lr": 3.278563855252885e-06, "epoch": 0.46282485875706214, "percentage": 46.38, "elapsed_time": "0:31:11", "remaining_time": "0:36:03"}
129
+ {"current_steps": 129, "total_steps": 276, "loss": 0.6843, "lr": 3.248407807433396e-06, "epoch": 0.46644067796610167, "percentage": 46.74, "elapsed_time": "0:31:25", "remaining_time": "0:35:48"}
130
+ {"current_steps": 130, "total_steps": 276, "loss": 0.6639, "lr": 3.2181316635191125e-06, "epoch": 0.47005649717514125, "percentage": 47.1, "elapsed_time": "0:31:40", "remaining_time": "0:35:34"}
131
+ {"current_steps": 131, "total_steps": 276, "loss": 0.6655, "lr": 3.1877402818861954e-06, "epoch": 0.4736723163841808, "percentage": 47.46, "elapsed_time": "0:31:54", "remaining_time": "0:35:19"}
132
+ {"current_steps": 132, "total_steps": 276, "loss": 0.6648, "lr": 3.157238539402862e-06, "epoch": 0.47728813559322036, "percentage": 47.83, "elapsed_time": "0:32:08", "remaining_time": "0:35:04"}
133
+ {"current_steps": 133, "total_steps": 276, "loss": 0.6793, "lr": 3.1266313306468018e-06, "epoch": 0.4809039548022599, "percentage": 48.19, "elapsed_time": "0:32:23", "remaining_time": "0:34:49"}
134
+ {"current_steps": 134, "total_steps": 276, "loss": 0.6808, "lr": 3.095923567119748e-06, "epoch": 0.4845197740112994, "percentage": 48.55, "elapsed_time": "0:32:37", "remaining_time": "0:34:34"}
135
+ {"current_steps": 135, "total_steps": 276, "loss": 0.669, "lr": 3.0651201764593375e-06, "epoch": 0.488135593220339, "percentage": 48.91, "elapsed_time": "0:32:52", "remaining_time": "0:34:19"}
136
+ {"current_steps": 136, "total_steps": 276, "loss": 0.6685, "lr": 3.034226101648377e-06, "epoch": 0.49175141242937853, "percentage": 49.28, "elapsed_time": "0:33:07", "remaining_time": "0:34:06"}
137
+ {"current_steps": 137, "total_steps": 276, "loss": 0.6803, "lr": 3.0032463002216504e-06, "epoch": 0.49536723163841806, "percentage": 49.64, "elapsed_time": "0:33:22", "remaining_time": "0:33:52"}
138
+ {"current_steps": 138, "total_steps": 276, "loss": 0.6293, "lr": 2.972185743470386e-06, "epoch": 0.49898305084745764, "percentage": 50.0, "elapsed_time": "0:33:38", "remaining_time": "0:33:38"}
139
+ {"current_steps": 139, "total_steps": 276, "loss": 0.6981, "lr": 2.941049415644522e-06, "epoch": 0.5025988700564972, "percentage": 50.36, "elapsed_time": "0:33:53", "remaining_time": "0:33:24"}
140
+ {"current_steps": 140, "total_steps": 276, "loss": 0.6738, "lr": 2.909842313152888e-06, "epoch": 0.5062146892655367, "percentage": 50.72, "elapsed_time": "0:34:08", "remaining_time": "0:33:10"}
141
+ {"current_steps": 141, "total_steps": 276, "loss": 0.7131, "lr": 2.878569443761442e-06, "epoch": 0.5098305084745762, "percentage": 51.09, "elapsed_time": "0:34:23", "remaining_time": "0:32:55"}
142
+ {"current_steps": 142, "total_steps": 276, "loss": 0.7016, "lr": 2.847235825789673e-06, "epoch": 0.5134463276836159, "percentage": 51.45, "elapsed_time": "0:34:38", "remaining_time": "0:32:41"}
143
+ {"current_steps": 143, "total_steps": 276, "loss": 0.6724, "lr": 2.8158464873053236e-06, "epoch": 0.5170621468926554, "percentage": 51.81, "elapsed_time": "0:34:53", "remaining_time": "0:32:27"}
144
+ {"current_steps": 144, "total_steps": 276, "loss": 0.6662, "lr": 2.784406465317538e-06, "epoch": 0.5206779661016949, "percentage": 52.17, "elapsed_time": "0:35:07", "remaining_time": "0:32:12"}
145
+ {"current_steps": 145, "total_steps": 276, "loss": 0.6631, "lr": 2.752920804968581e-06, "epoch": 0.5242937853107345, "percentage": 52.54, "elapsed_time": "0:35:22", "remaining_time": "0:31:57"}
146
+ {"current_steps": 146, "total_steps": 276, "loss": 0.6513, "lr": 2.7213945587242507e-06, "epoch": 0.527909604519774, "percentage": 52.9, "elapsed_time": "0:35:37", "remaining_time": "0:31:43"}
147
+ {"current_steps": 147, "total_steps": 276, "loss": 0.6555, "lr": 2.689832785563116e-06, "epoch": 0.5315254237288135, "percentage": 53.26, "elapsed_time": "0:35:52", "remaining_time": "0:31:29"}
148
+ {"current_steps": 148, "total_steps": 276, "loss": 0.6661, "lr": 2.658240550164704e-06, "epoch": 0.5351412429378531, "percentage": 53.62, "elapsed_time": "0:36:07", "remaining_time": "0:31:14"}
149
+ {"current_steps": 149, "total_steps": 276, "loss": 0.6621, "lr": 2.626622922096782e-06, "epoch": 0.5387570621468927, "percentage": 53.99, "elapsed_time": "0:36:21", "remaining_time": "0:30:59"}
150
+ {"current_steps": 150, "total_steps": 276, "loss": 0.6758, "lr": 2.5949849750018486e-06, "epoch": 0.5423728813559322, "percentage": 54.35, "elapsed_time": "0:36:37", "remaining_time": "0:30:45"}
151
+ {"current_steps": 151, "total_steps": 276, "loss": 0.6559, "lr": 2.56333178578297e-06, "epoch": 0.5459887005649717, "percentage": 54.71, "elapsed_time": "0:36:51", "remaining_time": "0:30:30"}
152
+ {"current_steps": 152, "total_steps": 276, "loss": 0.6232, "lr": 2.5316684337891005e-06, "epoch": 0.5496045197740113, "percentage": 55.07, "elapsed_time": "0:37:06", "remaining_time": "0:30:16"}
153
+ {"current_steps": 153, "total_steps": 276, "loss": 0.6373, "lr": 2.5e-06, "epoch": 0.5532203389830509, "percentage": 55.43, "elapsed_time": "0:37:21", "remaining_time": "0:30:01"}
154
+ {"current_steps": 154, "total_steps": 276, "loss": 0.6779, "lr": 2.4683315662109003e-06, "epoch": 0.5568361581920904, "percentage": 55.8, "elapsed_time": "0:37:35", "remaining_time": "0:29:46"}
155
+ {"current_steps": 155, "total_steps": 276, "loss": 0.654, "lr": 2.436668214217031e-06, "epoch": 0.56045197740113, "percentage": 56.16, "elapsed_time": "0:37:50", "remaining_time": "0:29:32"}
156
+ {"current_steps": 156, "total_steps": 276, "loss": 0.6625, "lr": 2.4050150249981522e-06, "epoch": 0.5640677966101695, "percentage": 56.52, "elapsed_time": "0:38:05", "remaining_time": "0:29:17"}
157
+ {"current_steps": 157, "total_steps": 276, "loss": 0.6862, "lr": 2.3733770779032185e-06, "epoch": 0.567683615819209, "percentage": 56.88, "elapsed_time": "0:38:19", "remaining_time": "0:29:02"}
158
+ {"current_steps": 158, "total_steps": 276, "loss": 0.669, "lr": 2.341759449835297e-06, "epoch": 0.5712994350282485, "percentage": 57.25, "elapsed_time": "0:38:35", "remaining_time": "0:28:48"}
159
+ {"current_steps": 159, "total_steps": 276, "loss": 0.6389, "lr": 2.310167214436885e-06, "epoch": 0.5749152542372882, "percentage": 57.61, "elapsed_time": "0:38:49", "remaining_time": "0:28:34"}
160
+ {"current_steps": 160, "total_steps": 276, "loss": 0.6472, "lr": 2.27860544127575e-06, "epoch": 0.5785310734463277, "percentage": 57.97, "elapsed_time": "0:39:03", "remaining_time": "0:28:19"}
161
+ {"current_steps": 161, "total_steps": 276, "loss": 0.6579, "lr": 2.24707919503142e-06, "epoch": 0.5821468926553672, "percentage": 58.33, "elapsed_time": "0:39:19", "remaining_time": "0:28:05"}
162
+ {"current_steps": 162, "total_steps": 276, "loss": 0.6481, "lr": 2.2155935346824634e-06, "epoch": 0.5857627118644068, "percentage": 58.7, "elapsed_time": "0:39:34", "remaining_time": "0:27:50"}
163
+ {"current_steps": 163, "total_steps": 276, "loss": 0.6535, "lr": 2.1841535126946777e-06, "epoch": 0.5893785310734463, "percentage": 59.06, "elapsed_time": "0:39:49", "remaining_time": "0:27:36"}
164
+ {"current_steps": 164, "total_steps": 276, "loss": 0.6707, "lr": 2.1527641742103282e-06, "epoch": 0.5929943502824859, "percentage": 59.42, "elapsed_time": "0:40:04", "remaining_time": "0:27:22"}
165
+ {"current_steps": 165, "total_steps": 276, "loss": 0.6663, "lr": 2.1214305562385592e-06, "epoch": 0.5966101694915255, "percentage": 59.78, "elapsed_time": "0:40:19", "remaining_time": "0:27:07"}
166
+ {"current_steps": 166, "total_steps": 276, "loss": 0.6747, "lr": 2.0901576868471125e-06, "epoch": 0.600225988700565, "percentage": 60.14, "elapsed_time": "0:40:34", "remaining_time": "0:26:53"}
167
+ {"current_steps": 167, "total_steps": 276, "loss": 0.6512, "lr": 2.05895058435548e-06, "epoch": 0.6038418079096045, "percentage": 60.51, "elapsed_time": "0:40:49", "remaining_time": "0:26:38"}
168
+ {"current_steps": 168, "total_steps": 276, "loss": 0.6324, "lr": 2.0278142565296153e-06, "epoch": 0.607457627118644, "percentage": 60.87, "elapsed_time": "0:41:03", "remaining_time": "0:26:23"}
169
+ {"current_steps": 169, "total_steps": 276, "loss": 0.6679, "lr": 1.9967536997783495e-06, "epoch": 0.6110734463276836, "percentage": 61.23, "elapsed_time": "0:41:18", "remaining_time": "0:26:09"}
170
+ {"current_steps": 170, "total_steps": 276, "loss": 0.6729, "lr": 1.9657738983516227e-06, "epoch": 0.6146892655367232, "percentage": 61.59, "elapsed_time": "0:41:32", "remaining_time": "0:25:54"}
171
+ {"current_steps": 171, "total_steps": 276, "loss": 0.6493, "lr": 1.934879823540663e-06, "epoch": 0.6183050847457627, "percentage": 61.96, "elapsed_time": "0:41:47", "remaining_time": "0:25:39"}
172
+ {"current_steps": 172, "total_steps": 276, "loss": 0.6398, "lr": 1.9040764328802523e-06, "epoch": 0.6219209039548023, "percentage": 62.32, "elapsed_time": "0:42:01", "remaining_time": "0:25:24"}
173
+ {"current_steps": 173, "total_steps": 276, "loss": 0.6582, "lr": 1.8733686693531986e-06, "epoch": 0.6255367231638418, "percentage": 62.68, "elapsed_time": "0:42:15", "remaining_time": "0:25:09"}
174
+ {"current_steps": 174, "total_steps": 276, "loss": 0.6532, "lr": 1.842761460597138e-06, "epoch": 0.6291525423728813, "percentage": 63.04, "elapsed_time": "0:42:29", "remaining_time": "0:24:54"}
175
+ {"current_steps": 175, "total_steps": 276, "loss": 0.6603, "lr": 1.812259718113805e-06, "epoch": 0.632768361581921, "percentage": 63.41, "elapsed_time": "0:42:44", "remaining_time": "0:24:39"}
176
+ {"current_steps": 176, "total_steps": 276, "loss": 0.658, "lr": 1.7818683364808883e-06, "epoch": 0.6363841807909605, "percentage": 63.77, "elapsed_time": "0:42:58", "remaining_time": "0:24:25"}
177
+ {"current_steps": 177, "total_steps": 276, "loss": 0.6317, "lr": 1.7515921925666053e-06, "epoch": 0.64, "percentage": 64.13, "elapsed_time": "0:43:14", "remaining_time": "0:24:10"}
178
+ {"current_steps": 178, "total_steps": 276, "loss": 0.677, "lr": 1.7214361447471156e-06, "epoch": 0.6436158192090395, "percentage": 64.49, "elapsed_time": "0:43:28", "remaining_time": "0:23:55"}
179
+ {"current_steps": 179, "total_steps": 276, "loss": 0.6736, "lr": 1.6914050321269049e-06, "epoch": 0.6472316384180791, "percentage": 64.86, "elapsed_time": "0:43:42", "remaining_time": "0:23:41"}
180
+ {"current_steps": 180, "total_steps": 276, "loss": 0.6802, "lr": 1.6615036737622574e-06, "epoch": 0.6508474576271186, "percentage": 65.22, "elapsed_time": "0:43:56", "remaining_time": "0:23:26"}
181
+ {"current_steps": 181, "total_steps": 276, "loss": 0.646, "lr": 1.6317368678879497e-06, "epoch": 0.6544632768361582, "percentage": 65.58, "elapsed_time": "0:44:12", "remaining_time": "0:23:12"}
182
+ {"current_steps": 182, "total_steps": 276, "loss": 0.6502, "lr": 1.6021093911472825e-06, "epoch": 0.6580790960451978, "percentage": 65.94, "elapsed_time": "0:44:26", "remaining_time": "0:22:57"}
183
+ {"current_steps": 183, "total_steps": 276, "loss": 0.6392, "lr": 1.572625997825581e-06, "epoch": 0.6616949152542373, "percentage": 66.3, "elapsed_time": "0:44:41", "remaining_time": "0:22:42"}
184
+ {"current_steps": 184, "total_steps": 276, "loss": 0.6478, "lr": 1.5432914190872757e-06, "epoch": 0.6653107344632768, "percentage": 66.67, "elapsed_time": "0:44:57", "remaining_time": "0:22:28"}
185
+ {"current_steps": 185, "total_steps": 276, "loss": 0.6624, "lr": 1.5141103622167042e-06, "epoch": 0.6689265536723163, "percentage": 67.03, "elapsed_time": "0:45:13", "remaining_time": "0:22:14"}
186
+ {"current_steps": 186, "total_steps": 276, "loss": 0.6519, "lr": 1.4850875098627326e-06, "epoch": 0.672542372881356, "percentage": 67.39, "elapsed_time": "0:45:27", "remaining_time": "0:21:59"}
187
+ {"current_steps": 187, "total_steps": 276, "loss": 0.6382, "lr": 1.456227519287343e-06, "epoch": 0.6761581920903955, "percentage": 67.75, "elapsed_time": "0:45:41", "remaining_time": "0:21:44"}
188
+ {"current_steps": 188, "total_steps": 276, "loss": 0.6391, "lr": 1.4275350216182824e-06, "epoch": 0.679774011299435, "percentage": 68.12, "elapsed_time": "0:45:56", "remaining_time": "0:21:30"}
189
+ {"current_steps": 189, "total_steps": 276, "loss": 0.6456, "lr": 1.3990146211059141e-06, "epoch": 0.6833898305084746, "percentage": 68.48, "elapsed_time": "0:46:11", "remaining_time": "0:21:15"}
190
+ {"current_steps": 190, "total_steps": 276, "loss": 0.6441, "lr": 1.3706708943843822e-06, "epoch": 0.6870056497175141, "percentage": 68.84, "elapsed_time": "0:46:25", "remaining_time": "0:21:00"}
191
+ {"current_steps": 191, "total_steps": 276, "loss": 0.6603, "lr": 1.3425083897371983e-06, "epoch": 0.6906214689265536, "percentage": 69.2, "elapsed_time": "0:46:40", "remaining_time": "0:20:46"}
192
+ {"current_steps": 192, "total_steps": 276, "loss": 0.6721, "lr": 1.3145316263673874e-06, "epoch": 0.6942372881355933, "percentage": 69.57, "elapsed_time": "0:46:54", "remaining_time": "0:20:31"}
193
+ {"current_steps": 193, "total_steps": 276, "loss": 0.649, "lr": 1.286745093672298e-06, "epoch": 0.6978531073446328, "percentage": 69.93, "elapsed_time": "0:47:09", "remaining_time": "0:20:16"}
194
+ {"current_steps": 194, "total_steps": 276, "loss": 0.6573, "lr": 1.2591532505231906e-06, "epoch": 0.7014689265536723, "percentage": 70.29, "elapsed_time": "0:47:23", "remaining_time": "0:20:02"}
195
+ {"current_steps": 195, "total_steps": 276, "loss": 0.6727, "lr": 1.2317605245497324e-06, "epoch": 0.7050847457627119, "percentage": 70.65, "elapsed_time": "0:47:37", "remaining_time": "0:19:47"}
196
+ {"current_steps": 196, "total_steps": 276, "loss": 0.6131, "lr": 1.204571311429496e-06, "epoch": 0.7087005649717514, "percentage": 71.01, "elapsed_time": "0:47:52", "remaining_time": "0:19:32"}
197
+ {"current_steps": 197, "total_steps": 276, "loss": 0.6434, "lr": 1.1775899741825947e-06, "epoch": 0.7123163841807909, "percentage": 71.38, "elapsed_time": "0:48:06", "remaining_time": "0:19:17"}
198
+ {"current_steps": 198, "total_steps": 276, "loss": 0.656, "lr": 1.1508208424715511e-06, "epoch": 0.7159322033898305, "percentage": 71.74, "elapsed_time": "0:48:21", "remaining_time": "0:19:03"}
199
+ {"current_steps": 199, "total_steps": 276, "loss": 0.6613, "lr": 1.1242682119065217e-06, "epoch": 0.7195480225988701, "percentage": 72.1, "elapsed_time": "0:48:37", "remaining_time": "0:18:48"}
200
+ {"current_steps": 200, "total_steps": 276, "loss": 0.6577, "lr": 1.0979363433559892e-06, "epoch": 0.7231638418079096, "percentage": 72.46, "elapsed_time": "0:48:53", "remaining_time": "0:18:34"}
201
+ {"current_steps": 201, "total_steps": 276, "loss": 0.6905, "lr": 1.0718294622630188e-06, "epoch": 0.7267796610169491, "percentage": 72.83, "elapsed_time": "0:50:27", "remaining_time": "0:18:49"}
202
+ {"current_steps": 202, "total_steps": 276, "loss": 0.6448, "lr": 1.045951757967215e-06, "epoch": 0.7303954802259887, "percentage": 73.19, "elapsed_time": "0:50:41", "remaining_time": "0:18:34"}
203
+ {"current_steps": 203, "total_steps": 276, "loss": 0.6395, "lr": 1.0203073830324566e-06, "epoch": 0.7340112994350283, "percentage": 73.55, "elapsed_time": "0:50:55", "remaining_time": "0:18:18"}
204
+ {"current_steps": 204, "total_steps": 276, "loss": 0.6148, "lr": 9.949004525805423e-07, "epoch": 0.7376271186440678, "percentage": 73.91, "elapsed_time": "0:51:10", "remaining_time": "0:18:03"}
205
+ {"current_steps": 205, "total_steps": 276, "loss": 0.6322, "lr": 9.697350436308428e-07, "epoch": 0.7412429378531074, "percentage": 74.28, "elapsed_time": "0:51:24", "remaining_time": "0:17:48"}
206
+ {"current_steps": 206, "total_steps": 276, "loss": 0.6835, "lr": 9.448151944460657e-07, "epoch": 0.7448587570621469, "percentage": 74.64, "elapsed_time": "0:51:38", "remaining_time": "0:17:32"}
207
+ {"current_steps": 207, "total_steps": 276, "loss": 0.6713, "lr": 9.201449038842403e-07, "epoch": 0.7484745762711864, "percentage": 75.0, "elapsed_time": "0:51:53", "remaining_time": "0:17:17"}
208
+ {"current_steps": 208, "total_steps": 276, "loss": 0.6349, "lr": 8.957281307570254e-07, "epoch": 0.7520903954802259, "percentage": 75.36, "elapsed_time": "0:52:07", "remaining_time": "0:17:02"}
209
+ {"current_steps": 209, "total_steps": 276, "loss": 0.6395, "lr": 8.71568793194445e-07, "epoch": 0.7557062146892656, "percentage": 75.72, "elapsed_time": "0:52:22", "remaining_time": "0:16:47"}
210
+ {"current_steps": 210, "total_steps": 276, "loss": 0.6566, "lr": 8.476707680161486e-07, "epoch": 0.7593220338983051, "percentage": 76.09, "elapsed_time": "0:52:36", "remaining_time": "0:16:31"}
211
+ {"current_steps": 211, "total_steps": 276, "loss": 0.6498, "lr": 8.240378901093035e-07, "epoch": 0.7629378531073446, "percentage": 76.45, "elapsed_time": "0:52:50", "remaining_time": "0:16:16"}
212
+ {"current_steps": 212, "total_steps": 276, "loss": 0.6702, "lr": 8.006739518132179e-07, "epoch": 0.7665536723163842, "percentage": 76.81, "elapsed_time": "0:53:05", "remaining_time": "0:16:01"}
213
+ {"current_steps": 213, "total_steps": 276, "loss": 0.6403, "lr": 7.775827023107835e-07, "epoch": 0.7701694915254237, "percentage": 77.17, "elapsed_time": "0:53:19", "remaining_time": "0:15:46"}
214
+ {"current_steps": 214, "total_steps": 276, "loss": 0.6492, "lr": 7.547678470268526e-07, "epoch": 0.7737853107344633, "percentage": 77.54, "elapsed_time": "0:53:34", "remaining_time": "0:15:31"}
215
+ {"current_steps": 215, "total_steps": 276, "loss": 0.6289, "lr": 7.322330470336314e-07, "epoch": 0.7774011299435029, "percentage": 77.9, "elapsed_time": "0:53:49", "remaining_time": "0:15:16"}
216
+ {"current_steps": 216, "total_steps": 276, "loss": 0.6393, "lr": 7.099819184631929e-07, "epoch": 0.7810169491525424, "percentage": 78.26, "elapsed_time": "0:54:03", "remaining_time": "0:15:00"}
217
+ {"current_steps": 217, "total_steps": 276, "loss": 0.6429, "lr": 6.880180319272006e-07, "epoch": 0.7846327683615819, "percentage": 78.62, "elapsed_time": "0:54:17", "remaining_time": "0:14:45"}
218
+ {"current_steps": 218, "total_steps": 276, "loss": 0.6652, "lr": 6.663449119439358e-07, "epoch": 0.7882485875706214, "percentage": 78.99, "elapsed_time": "0:54:32", "remaining_time": "0:14:30"}
219
+ {"current_steps": 219, "total_steps": 276, "loss": 0.6424, "lr": 6.449660363727236e-07, "epoch": 0.791864406779661, "percentage": 79.35, "elapsed_time": "0:54:47", "remaining_time": "0:14:15"}
220
+ {"current_steps": 220, "total_steps": 276, "loss": 0.6409, "lr": 6.238848358558439e-07, "epoch": 0.7954802259887006, "percentage": 79.71, "elapsed_time": "0:55:02", "remaining_time": "0:14:00"}
221
+ {"current_steps": 221, "total_steps": 276, "loss": 0.6815, "lr": 6.031046932680229e-07, "epoch": 0.7990960451977401, "percentage": 80.07, "elapsed_time": "0:55:16", "remaining_time": "0:13:45"}
222
+ {"current_steps": 222, "total_steps": 276, "loss": 0.6489, "lr": 5.826289431735832e-07, "epoch": 0.8027118644067797, "percentage": 80.43, "elapsed_time": "0:55:31", "remaining_time": "0:13:30"}
223
+ {"current_steps": 223, "total_steps": 276, "loss": 0.6298, "lr": 5.624608712913531e-07, "epoch": 0.8063276836158192, "percentage": 80.8, "elapsed_time": "0:55:45", "remaining_time": "0:13:15"}
224
+ {"current_steps": 224, "total_steps": 276, "loss": 0.6509, "lr": 5.426037139674117e-07, "epoch": 0.8099435028248587, "percentage": 81.16, "elapsed_time": "0:55:59", "remaining_time": "0:12:59"}
225
+ {"current_steps": 225, "total_steps": 276, "loss": 0.6573, "lr": 5.23060657655754e-07, "epoch": 0.8135593220338984, "percentage": 81.52, "elapsed_time": "0:56:14", "remaining_time": "0:12:44"}
226
+ {"current_steps": 226, "total_steps": 276, "loss": 0.633, "lr": 5.038348384069663e-07, "epoch": 0.8171751412429379, "percentage": 81.88, "elapsed_time": "0:56:28", "remaining_time": "0:12:29"}
227
+ {"current_steps": 227, "total_steps": 276, "loss": 0.6754, "lr": 4.84929341364988e-07, "epoch": 0.8207909604519774, "percentage": 82.25, "elapsed_time": "0:56:44", "remaining_time": "0:12:14"}
228
+ {"current_steps": 228, "total_steps": 276, "loss": 0.6614, "lr": 4.6634720027204093e-07, "epoch": 0.8244067796610169, "percentage": 82.61, "elapsed_time": "0:56:58", "remaining_time": "0:11:59"}
229
+ {"current_steps": 229, "total_steps": 276, "loss": 0.6281, "lr": 4.480913969818099e-07, "epoch": 0.8280225988700565, "percentage": 82.97, "elapsed_time": "0:57:12", "remaining_time": "0:11:44"}
230
+ {"current_steps": 230, "total_steps": 276, "loss": 0.6161, "lr": 4.3016486098094667e-07, "epoch": 0.831638418079096, "percentage": 83.33, "elapsed_time": "0:57:27", "remaining_time": "0:11:29"}
231
+ {"current_steps": 231, "total_steps": 276, "loss": 0.6247, "lr": 4.125704689189819e-07, "epoch": 0.8352542372881356, "percentage": 83.7, "elapsed_time": "0:57:42", "remaining_time": "0:11:14"}
232
+ {"current_steps": 232, "total_steps": 276, "loss": 0.6586, "lr": 3.953110441467073e-07, "epoch": 0.8388700564971752, "percentage": 84.06, "elapsed_time": "0:57:57", "remaining_time": "0:10:59"}
233
+ {"current_steps": 233, "total_steps": 276, "loss": 0.6463, "lr": 3.7838935626312246e-07, "epoch": 0.8424858757062147, "percentage": 84.42, "elapsed_time": "0:58:12", "remaining_time": "0:10:44"}
234
+ {"current_steps": 234, "total_steps": 276, "loss": 0.6726, "lr": 3.6180812067099477e-07, "epoch": 0.8461016949152542, "percentage": 84.78, "elapsed_time": "0:58:27", "remaining_time": "0:10:29"}
235
+ {"current_steps": 235, "total_steps": 276, "loss": 0.6378, "lr": 3.455699981411259e-07, "epoch": 0.8497175141242937, "percentage": 85.14, "elapsed_time": "0:58:41", "remaining_time": "0:10:14"}
236
+ {"current_steps": 236, "total_steps": 276, "loss": 0.6381, "lr": 3.296775943853789e-07, "epoch": 0.8533333333333334, "percentage": 85.51, "elapsed_time": "0:58:56", "remaining_time": "0:09:59"}
237
+ {"current_steps": 237, "total_steps": 276, "loss": 0.6361, "lr": 3.141334596385448e-07, "epoch": 0.8569491525423729, "percentage": 85.87, "elapsed_time": "0:59:10", "remaining_time": "0:09:44"}
238
+ {"current_steps": 238, "total_steps": 276, "loss": 0.6311, "lr": 2.9894008824910726e-07, "epoch": 0.8605649717514124, "percentage": 86.23, "elapsed_time": "0:59:24", "remaining_time": "0:09:29"}
239
+ {"current_steps": 239, "total_steps": 276, "loss": 0.6584, "lr": 2.840999182789797e-07, "epoch": 0.864180790960452, "percentage": 86.59, "elapsed_time": "0:59:39", "remaining_time": "0:09:14"}
240
+ {"current_steps": 240, "total_steps": 276, "loss": 0.6275, "lr": 2.696153311122704e-07, "epoch": 0.8677966101694915, "percentage": 86.96, "elapsed_time": "0:59:53", "remaining_time": "0:08:59"}
241
+ {"current_steps": 241, "total_steps": 276, "loss": 0.6574, "lr": 2.5548865107314606e-07, "epoch": 0.871412429378531, "percentage": 87.32, "elapsed_time": "1:00:07", "remaining_time": "0:08:43"}
242
+ {"current_steps": 242, "total_steps": 276, "loss": 0.6394, "lr": 2.4172214505285006e-07, "epoch": 0.8750282485875707, "percentage": 87.68, "elapsed_time": "1:00:22", "remaining_time": "0:08:28"}
243
+ {"current_steps": 243, "total_steps": 276, "loss": 0.6352, "lr": 2.2831802214593774e-07, "epoch": 0.8786440677966102, "percentage": 88.04, "elapsed_time": "1:00:37", "remaining_time": "0:08:13"}
244
+ {"current_steps": 244, "total_steps": 276, "loss": 0.6332, "lr": 2.1527843329578328e-07, "epoch": 0.8822598870056497, "percentage": 88.41, "elapsed_time": "1:00:51", "remaining_time": "0:07:58"}
245
+ {"current_steps": 245, "total_steps": 276, "loss": 0.6488, "lr": 2.026054709494235e-07, "epoch": 0.8858757062146893, "percentage": 88.77, "elapsed_time": "1:01:06", "remaining_time": "0:07:43"}
246
+ {"current_steps": 246, "total_steps": 276, "loss": 0.6268, "lr": 1.9030116872178317e-07, "epoch": 0.8894915254237288, "percentage": 89.13, "elapsed_time": "1:01:20", "remaining_time": "0:07:28"}
247
+ {"current_steps": 247, "total_steps": 276, "loss": 0.6098, "lr": 1.7836750106934475e-07, "epoch": 0.8931073446327683, "percentage": 89.49, "elapsed_time": "1:01:34", "remaining_time": "0:07:13"}
248
+ {"current_steps": 248, "total_steps": 276, "loss": 0.6328, "lr": 1.6680638297330854e-07, "epoch": 0.896723163841808, "percentage": 89.86, "elapsed_time": "1:01:49", "remaining_time": "0:06:58"}
249
+ {"current_steps": 249, "total_steps": 276, "loss": 0.6353, "lr": 1.5561966963229925e-07, "epoch": 0.9003389830508475, "percentage": 90.22, "elapsed_time": "1:02:03", "remaining_time": "0:06:43"}
250
+ {"current_steps": 250, "total_steps": 276, "loss": 0.6212, "lr": 1.448091561646628e-07, "epoch": 0.903954802259887, "percentage": 90.58, "elapsed_time": "1:02:17", "remaining_time": "0:06:28"}
251
+ {"current_steps": 251, "total_steps": 276, "loss": 0.6581, "lr": 1.3437657732040783e-07, "epoch": 0.9075706214689265, "percentage": 90.94, "elapsed_time": "1:02:31", "remaining_time": "0:06:13"}
252
+ {"current_steps": 252, "total_steps": 276, "loss": 0.6483, "lr": 1.243236072028317e-07, "epoch": 0.9111864406779661, "percentage": 91.3, "elapsed_time": "1:02:46", "remaining_time": "0:05:58"}
253
+ {"current_steps": 253, "total_steps": 276, "loss": 0.6688, "lr": 1.1465185899987797e-07, "epoch": 0.9148022598870057, "percentage": 91.67, "elapsed_time": "1:03:00", "remaining_time": "0:05:43"}
254
+ {"current_steps": 254, "total_steps": 276, "loss": 0.6702, "lr": 1.0536288472527162e-07, "epoch": 0.9184180790960452, "percentage": 92.03, "elapsed_time": "1:03:15", "remaining_time": "0:05:28"}
255
+ {"current_steps": 255, "total_steps": 276, "loss": 0.663, "lr": 9.645817496946902e-08, "epoch": 0.9220338983050848, "percentage": 92.39, "elapsed_time": "1:03:29", "remaining_time": "0:05:13"}
256
+ {"current_steps": 256, "total_steps": 276, "loss": 0.64, "lr": 8.79391586604636e-08, "epoch": 0.9256497175141243, "percentage": 92.75, "elapsed_time": "1:03:44", "remaining_time": "0:04:58"}
257
+ {"current_steps": 257, "total_steps": 276, "loss": 0.6335, "lr": 7.980720283448957e-08, "epoch": 0.9292655367231638, "percentage": 93.12, "elapsed_time": "1:03:59", "remaining_time": "0:04:43"}
258
+ {"current_steps": 258, "total_steps": 276, "loss": 0.6403, "lr": 7.206361241665266e-08, "epoch": 0.9328813559322033, "percentage": 93.48, "elapsed_time": "1:04:14", "remaining_time": "0:04:28"}
259
+ {"current_steps": 259, "total_steps": 276, "loss": 0.6383, "lr": 6.470963001153268e-08, "epoch": 0.936497175141243, "percentage": 93.84, "elapsed_time": "1:04:29", "remaining_time": "0:04:13"}
260
+ {"current_steps": 260, "total_steps": 276, "loss": 0.6485, "lr": 5.774643570378296e-08, "epoch": 0.9401129943502825, "percentage": 94.2, "elapsed_time": "1:04:43", "remaining_time": "0:03:58"}
261
+ {"current_steps": 261, "total_steps": 276, "loss": 0.6479, "lr": 5.117514686876379e-08, "epoch": 0.943728813559322, "percentage": 94.57, "elapsed_time": "1:04:59", "remaining_time": "0:03:44"}
262
+ {"current_steps": 262, "total_steps": 276, "loss": 0.6363, "lr": 4.4996817993239464e-08, "epoch": 0.9473446327683616, "percentage": 94.93, "elapsed_time": "1:05:13", "remaining_time": "0:03:29"}
263
+ {"current_steps": 263, "total_steps": 276, "loss": 0.6417, "lr": 3.9212440506164465e-08, "epoch": 0.9509604519774011, "percentage": 95.29, "elapsed_time": "1:05:27", "remaining_time": "0:03:14"}
264
+ {"current_steps": 264, "total_steps": 276, "loss": 0.676, "lr": 3.382294261959157e-08, "epoch": 0.9545762711864407, "percentage": 95.65, "elapsed_time": "1:05:41", "remaining_time": "0:02:59"}
265
+ {"current_steps": 265, "total_steps": 276, "loss": 0.6502, "lr": 2.8829189179721552e-08, "epoch": 0.9581920903954803, "percentage": 96.01, "elapsed_time": "1:05:56", "remaining_time": "0:02:44"}
266
+ {"current_steps": 266, "total_steps": 276, "loss": 0.6271, "lr": 2.423198152812306e-08, "epoch": 0.9618079096045198, "percentage": 96.38, "elapsed_time": "1:06:11", "remaining_time": "0:02:29"}
267
+ {"current_steps": 267, "total_steps": 276, "loss": 0.6312, "lr": 2.0032057373142453e-08, "epoch": 0.9654237288135593, "percentage": 96.74, "elapsed_time": "1:06:25", "remaining_time": "0:02:14"}
268
+ {"current_steps": 268, "total_steps": 276, "loss": 0.6313, "lr": 1.6230090671524312e-08, "epoch": 0.9690395480225988, "percentage": 97.1, "elapsed_time": "1:06:40", "remaining_time": "0:01:59"}
269
+ {"current_steps": 269, "total_steps": 276, "loss": 0.6328, "lr": 1.2826691520262114e-08, "epoch": 0.9726553672316384, "percentage": 97.46, "elapsed_time": "1:06:55", "remaining_time": "0:01:44"}
270
+ {"current_steps": 270, "total_steps": 276, "loss": 0.6247, "lr": 9.822406058697665e-09, "epoch": 0.976271186440678, "percentage": 97.83, "elapsed_time": "1:07:09", "remaining_time": "0:01:29"}
271
+ {"current_steps": 271, "total_steps": 276, "loss": 0.6185, "lr": 7.217716380881479e-09, "epoch": 0.9798870056497175, "percentage": 98.19, "elapsed_time": "1:07:23", "remaining_time": "0:01:14"}
272
+ {"current_steps": 272, "total_steps": 276, "loss": 0.6308, "lr": 5.0130404582127144e-09, "epoch": 0.9835028248587571, "percentage": 98.55, "elapsed_time": "1:07:38", "remaining_time": "0:00:59"}
273
+ {"current_steps": 273, "total_steps": 276, "loss": 0.6383, "lr": 3.208732072368104e-09, "epoch": 0.9871186440677966, "percentage": 98.91, "elapsed_time": "1:07:52", "remaining_time": "0:00:44"}
274
+ {"current_steps": 274, "total_steps": 276, "loss": 0.6559, "lr": 1.8050807585293095e-09, "epoch": 0.9907344632768361, "percentage": 99.28, "elapsed_time": "1:08:06", "remaining_time": "0:00:29"}
275
+ {"current_steps": 275, "total_steps": 276, "loss": 0.6701, "lr": 8.023117589237017e-10, "epoch": 0.9943502824858758, "percentage": 99.64, "elapsed_time": "1:08:20", "remaining_time": "0:00:14"}
276
+ {"current_steps": 276, "total_steps": 276, "loss": 0.6445, "lr": 2.0058598667854755e-10, "epoch": 0.9979661016949153, "percentage": 100.0, "elapsed_time": "1:08:35", "remaining_time": "0:00:00"}
277
+ {"current_steps": 276, "total_steps": 276, "epoch": 0.9979661016949153, "percentage": 100.0, "elapsed_time": "1:09:54", "remaining_time": "0:00:00"}
trainer_state.json ADDED
@@ -0,0 +1,1975 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.9979661016949153,
6
+ "eval_steps": 500,
7
+ "global_step": 276,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.003615819209039548,
14
+ "grad_norm": 14.63072256054265,
15
+ "learning_rate": 0.0,
16
+ "loss": 1.4293,
17
+ "step": 1
18
+ },
19
+ {
20
+ "epoch": 0.007231638418079096,
21
+ "grad_norm": 13.703421994615557,
22
+ "learning_rate": 1.7857142857142858e-07,
23
+ "loss": 1.4193,
24
+ "step": 2
25
+ },
26
+ {
27
+ "epoch": 0.010847457627118645,
28
+ "grad_norm": 13.716616968172858,
29
+ "learning_rate": 3.5714285714285716e-07,
30
+ "loss": 1.3691,
31
+ "step": 3
32
+ },
33
+ {
34
+ "epoch": 0.014463276836158192,
35
+ "grad_norm": 13.81492601698403,
36
+ "learning_rate": 5.357142857142857e-07,
37
+ "loss": 1.4337,
38
+ "step": 4
39
+ },
40
+ {
41
+ "epoch": 0.01807909604519774,
42
+ "grad_norm": 13.013807610008277,
43
+ "learning_rate": 7.142857142857143e-07,
44
+ "loss": 1.335,
45
+ "step": 5
46
+ },
47
+ {
48
+ "epoch": 0.02169491525423729,
49
+ "grad_norm": 13.316675508543259,
50
+ "learning_rate": 8.928571428571429e-07,
51
+ "loss": 1.4104,
52
+ "step": 6
53
+ },
54
+ {
55
+ "epoch": 0.025310734463276835,
56
+ "grad_norm": 12.54293399835329,
57
+ "learning_rate": 1.0714285714285714e-06,
58
+ "loss": 1.3364,
59
+ "step": 7
60
+ },
61
+ {
62
+ "epoch": 0.028926553672316384,
63
+ "grad_norm": 11.706383970770567,
64
+ "learning_rate": 1.25e-06,
65
+ "loss": 1.3289,
66
+ "step": 8
67
+ },
68
+ {
69
+ "epoch": 0.03254237288135593,
70
+ "grad_norm": 9.135561727877839,
71
+ "learning_rate": 1.4285714285714286e-06,
72
+ "loss": 1.2395,
73
+ "step": 9
74
+ },
75
+ {
76
+ "epoch": 0.03615819209039548,
77
+ "grad_norm": 8.24371141549115,
78
+ "learning_rate": 1.6071428571428574e-06,
79
+ "loss": 1.2597,
80
+ "step": 10
81
+ },
82
+ {
83
+ "epoch": 0.03977401129943503,
84
+ "grad_norm": 5.641164800490142,
85
+ "learning_rate": 1.7857142857142859e-06,
86
+ "loss": 1.1323,
87
+ "step": 11
88
+ },
89
+ {
90
+ "epoch": 0.04338983050847458,
91
+ "grad_norm": 5.154352679322036,
92
+ "learning_rate": 1.9642857142857144e-06,
93
+ "loss": 1.1555,
94
+ "step": 12
95
+ },
96
+ {
97
+ "epoch": 0.04700564971751412,
98
+ "grad_norm": 4.902918571287102,
99
+ "learning_rate": 2.1428571428571427e-06,
100
+ "loss": 1.1208,
101
+ "step": 13
102
+ },
103
+ {
104
+ "epoch": 0.05062146892655367,
105
+ "grad_norm": 4.651473817511105,
106
+ "learning_rate": 2.321428571428572e-06,
107
+ "loss": 1.1211,
108
+ "step": 14
109
+ },
110
+ {
111
+ "epoch": 0.05423728813559322,
112
+ "grad_norm": 7.855915558603105,
113
+ "learning_rate": 2.5e-06,
114
+ "loss": 1.0921,
115
+ "step": 15
116
+ },
117
+ {
118
+ "epoch": 0.05785310734463277,
119
+ "grad_norm": 9.766906290977035,
120
+ "learning_rate": 2.6785714285714285e-06,
121
+ "loss": 1.0519,
122
+ "step": 16
123
+ },
124
+ {
125
+ "epoch": 0.061468926553672316,
126
+ "grad_norm": 7.745681824751476,
127
+ "learning_rate": 2.8571428571428573e-06,
128
+ "loss": 1.0559,
129
+ "step": 17
130
+ },
131
+ {
132
+ "epoch": 0.06508474576271187,
133
+ "grad_norm": 4.81594013217655,
134
+ "learning_rate": 3.0357142857142856e-06,
135
+ "loss": 1.0629,
136
+ "step": 18
137
+ },
138
+ {
139
+ "epoch": 0.06870056497175141,
140
+ "grad_norm": 4.091417378072179,
141
+ "learning_rate": 3.2142857142857147e-06,
142
+ "loss": 1.0244,
143
+ "step": 19
144
+ },
145
+ {
146
+ "epoch": 0.07231638418079096,
147
+ "grad_norm": 2.8101858455670237,
148
+ "learning_rate": 3.3928571428571435e-06,
149
+ "loss": 0.9697,
150
+ "step": 20
151
+ },
152
+ {
153
+ "epoch": 0.0759322033898305,
154
+ "grad_norm": 3.180728091735543,
155
+ "learning_rate": 3.5714285714285718e-06,
156
+ "loss": 0.9601,
157
+ "step": 21
158
+ },
159
+ {
160
+ "epoch": 0.07954802259887006,
161
+ "grad_norm": 3.6493251911677658,
162
+ "learning_rate": 3.7500000000000005e-06,
163
+ "loss": 0.9409,
164
+ "step": 22
165
+ },
166
+ {
167
+ "epoch": 0.0831638418079096,
168
+ "grad_norm": 3.415956781592975,
169
+ "learning_rate": 3.928571428571429e-06,
170
+ "loss": 0.9486,
171
+ "step": 23
172
+ },
173
+ {
174
+ "epoch": 0.08677966101694916,
175
+ "grad_norm": 3.0472462438826,
176
+ "learning_rate": 4.107142857142857e-06,
177
+ "loss": 0.8874,
178
+ "step": 24
179
+ },
180
+ {
181
+ "epoch": 0.0903954802259887,
182
+ "grad_norm": 2.264144754905512,
183
+ "learning_rate": 4.2857142857142855e-06,
184
+ "loss": 0.8994,
185
+ "step": 25
186
+ },
187
+ {
188
+ "epoch": 0.09401129943502824,
189
+ "grad_norm": 2.191754581281806,
190
+ "learning_rate": 4.464285714285715e-06,
191
+ "loss": 0.8975,
192
+ "step": 26
193
+ },
194
+ {
195
+ "epoch": 0.0976271186440678,
196
+ "grad_norm": 2.3668184420746385,
197
+ "learning_rate": 4.642857142857144e-06,
198
+ "loss": 0.8581,
199
+ "step": 27
200
+ },
201
+ {
202
+ "epoch": 0.10124293785310734,
203
+ "grad_norm": 2.7515269578252193,
204
+ "learning_rate": 4.821428571428572e-06,
205
+ "loss": 0.8423,
206
+ "step": 28
207
+ },
208
+ {
209
+ "epoch": 0.1048587570621469,
210
+ "grad_norm": 2.3735525312849837,
211
+ "learning_rate": 5e-06,
212
+ "loss": 0.8205,
213
+ "step": 29
214
+ },
215
+ {
216
+ "epoch": 0.10847457627118644,
217
+ "grad_norm": 2.032163014842967,
218
+ "learning_rate": 4.999799414013322e-06,
219
+ "loss": 0.8754,
220
+ "step": 30
221
+ },
222
+ {
223
+ "epoch": 0.112090395480226,
224
+ "grad_norm": 2.0590504400576997,
225
+ "learning_rate": 4.999197688241076e-06,
226
+ "loss": 0.8267,
227
+ "step": 31
228
+ },
229
+ {
230
+ "epoch": 0.11570621468926554,
231
+ "grad_norm": 2.092420106610846,
232
+ "learning_rate": 4.998194919241471e-06,
233
+ "loss": 0.8312,
234
+ "step": 32
235
+ },
236
+ {
237
+ "epoch": 0.11932203389830509,
238
+ "grad_norm": 1.9381311525751297,
239
+ "learning_rate": 4.996791267927632e-06,
240
+ "loss": 0.7878,
241
+ "step": 33
242
+ },
243
+ {
244
+ "epoch": 0.12293785310734463,
245
+ "grad_norm": 1.7374506458276127,
246
+ "learning_rate": 4.994986959541788e-06,
247
+ "loss": 0.7816,
248
+ "step": 34
249
+ },
250
+ {
251
+ "epoch": 0.12655367231638417,
252
+ "grad_norm": 2.0807346358096166,
253
+ "learning_rate": 4.9927822836191185e-06,
254
+ "loss": 0.7818,
255
+ "step": 35
256
+ },
257
+ {
258
+ "epoch": 0.13016949152542373,
259
+ "grad_norm": 1.73060241181151,
260
+ "learning_rate": 4.990177593941303e-06,
261
+ "loss": 0.7674,
262
+ "step": 36
263
+ },
264
+ {
265
+ "epoch": 0.1337853107344633,
266
+ "grad_norm": 1.7060389302256593,
267
+ "learning_rate": 4.987173308479738e-06,
268
+ "loss": 0.7652,
269
+ "step": 37
270
+ },
271
+ {
272
+ "epoch": 0.13740112994350281,
273
+ "grad_norm": 1.6025020216781503,
274
+ "learning_rate": 4.9837699093284765e-06,
275
+ "loss": 0.7457,
276
+ "step": 38
277
+ },
278
+ {
279
+ "epoch": 0.14101694915254237,
280
+ "grad_norm": 1.7291972266390814,
281
+ "learning_rate": 4.9799679426268575e-06,
282
+ "loss": 0.7943,
283
+ "step": 39
284
+ },
285
+ {
286
+ "epoch": 0.14463276836158193,
287
+ "grad_norm": 1.6572877077102874,
288
+ "learning_rate": 4.975768018471877e-06,
289
+ "loss": 0.7815,
290
+ "step": 40
291
+ },
292
+ {
293
+ "epoch": 0.14824858757062148,
294
+ "grad_norm": 1.5680833894820443,
295
+ "learning_rate": 4.971170810820279e-06,
296
+ "loss": 0.7557,
297
+ "step": 41
298
+ },
299
+ {
300
+ "epoch": 0.151864406779661,
301
+ "grad_norm": 1.4822606907798626,
302
+ "learning_rate": 4.966177057380409e-06,
303
+ "loss": 0.7561,
304
+ "step": 42
305
+ },
306
+ {
307
+ "epoch": 0.15548022598870057,
308
+ "grad_norm": 1.6178903613745546,
309
+ "learning_rate": 4.960787559493836e-06,
310
+ "loss": 0.7474,
311
+ "step": 43
312
+ },
313
+ {
314
+ "epoch": 0.15909604519774012,
315
+ "grad_norm": 1.5096967013865987,
316
+ "learning_rate": 4.955003182006761e-06,
317
+ "loss": 0.716,
318
+ "step": 44
319
+ },
320
+ {
321
+ "epoch": 0.16271186440677965,
322
+ "grad_norm": 1.4671027619246142,
323
+ "learning_rate": 4.948824853131237e-06,
324
+ "loss": 0.7353,
325
+ "step": 45
326
+ },
327
+ {
328
+ "epoch": 0.1663276836158192,
329
+ "grad_norm": 1.4778933913112275,
330
+ "learning_rate": 4.942253564296217e-06,
331
+ "loss": 0.7358,
332
+ "step": 46
333
+ },
334
+ {
335
+ "epoch": 0.16994350282485876,
336
+ "grad_norm": 1.4672254672280391,
337
+ "learning_rate": 4.935290369988468e-06,
338
+ "loss": 0.7419,
339
+ "step": 47
340
+ },
341
+ {
342
+ "epoch": 0.17355932203389832,
343
+ "grad_norm": 1.4415543659264245,
344
+ "learning_rate": 4.927936387583348e-06,
345
+ "loss": 0.748,
346
+ "step": 48
347
+ },
348
+ {
349
+ "epoch": 0.17717514124293784,
350
+ "grad_norm": 1.3940953807201077,
351
+ "learning_rate": 4.920192797165511e-06,
352
+ "loss": 0.7571,
353
+ "step": 49
354
+ },
355
+ {
356
+ "epoch": 0.1807909604519774,
357
+ "grad_norm": 1.4519222988783331,
358
+ "learning_rate": 4.912060841339536e-06,
359
+ "loss": 0.7127,
360
+ "step": 50
361
+ },
362
+ {
363
+ "epoch": 0.18440677966101696,
364
+ "grad_norm": 1.4865547512367276,
365
+ "learning_rate": 4.9035418250305314e-06,
366
+ "loss": 0.7272,
367
+ "step": 51
368
+ },
369
+ {
370
+ "epoch": 0.18802259887005648,
371
+ "grad_norm": 1.5008090646455723,
372
+ "learning_rate": 4.894637115274728e-06,
373
+ "loss": 0.7258,
374
+ "step": 52
375
+ },
376
+ {
377
+ "epoch": 0.19163841807909604,
378
+ "grad_norm": 1.7037112279423843,
379
+ "learning_rate": 4.8853481410001225e-06,
380
+ "loss": 0.7316,
381
+ "step": 53
382
+ },
383
+ {
384
+ "epoch": 0.1952542372881356,
385
+ "grad_norm": 1.440963552161302,
386
+ "learning_rate": 4.875676392797169e-06,
387
+ "loss": 0.7551,
388
+ "step": 54
389
+ },
390
+ {
391
+ "epoch": 0.19887005649717515,
392
+ "grad_norm": 1.440064113753515,
393
+ "learning_rate": 4.865623422679593e-06,
394
+ "loss": 0.7446,
395
+ "step": 55
396
+ },
397
+ {
398
+ "epoch": 0.20248587570621468,
399
+ "grad_norm": 1.6503815942075044,
400
+ "learning_rate": 4.855190843835338e-06,
401
+ "loss": 0.6955,
402
+ "step": 56
403
+ },
404
+ {
405
+ "epoch": 0.20610169491525424,
406
+ "grad_norm": 1.3995241998208656,
407
+ "learning_rate": 4.844380330367701e-06,
408
+ "loss": 0.7214,
409
+ "step": 57
410
+ },
411
+ {
412
+ "epoch": 0.2097175141242938,
413
+ "grad_norm": 1.461439825228087,
414
+ "learning_rate": 4.833193617026692e-06,
415
+ "loss": 0.7386,
416
+ "step": 58
417
+ },
418
+ {
419
+ "epoch": 0.21333333333333335,
420
+ "grad_norm": 1.5840510779057535,
421
+ "learning_rate": 4.821632498930656e-06,
422
+ "loss": 0.7156,
423
+ "step": 59
424
+ },
425
+ {
426
+ "epoch": 0.21694915254237288,
427
+ "grad_norm": 1.5720479925852917,
428
+ "learning_rate": 4.809698831278217e-06,
429
+ "loss": 0.6961,
430
+ "step": 60
431
+ },
432
+ {
433
+ "epoch": 0.22056497175141243,
434
+ "grad_norm": 1.6408543211624975,
435
+ "learning_rate": 4.797394529050577e-06,
436
+ "loss": 0.7223,
437
+ "step": 61
438
+ },
439
+ {
440
+ "epoch": 0.224180790960452,
441
+ "grad_norm": 1.4636770967664614,
442
+ "learning_rate": 4.784721566704217e-06,
443
+ "loss": 0.7157,
444
+ "step": 62
445
+ },
446
+ {
447
+ "epoch": 0.22779661016949151,
448
+ "grad_norm": 1.5059556334177817,
449
+ "learning_rate": 4.771681977854062e-06,
450
+ "loss": 0.7091,
451
+ "step": 63
452
+ },
453
+ {
454
+ "epoch": 0.23141242937853107,
455
+ "grad_norm": 1.3659765286811016,
456
+ "learning_rate": 4.75827785494715e-06,
457
+ "loss": 0.7012,
458
+ "step": 64
459
+ },
460
+ {
461
+ "epoch": 0.23502824858757063,
462
+ "grad_norm": 1.418860606361076,
463
+ "learning_rate": 4.744511348926855e-06,
464
+ "loss": 0.7124,
465
+ "step": 65
466
+ },
467
+ {
468
+ "epoch": 0.23864406779661018,
469
+ "grad_norm": 1.4260454819088881,
470
+ "learning_rate": 4.730384668887731e-06,
471
+ "loss": 0.7215,
472
+ "step": 66
473
+ },
474
+ {
475
+ "epoch": 0.2422598870056497,
476
+ "grad_norm": 1.5391993842680236,
477
+ "learning_rate": 4.715900081721021e-06,
478
+ "loss": 0.6946,
479
+ "step": 67
480
+ },
481
+ {
482
+ "epoch": 0.24587570621468927,
483
+ "grad_norm": 1.552630241762705,
484
+ "learning_rate": 4.7010599117508936e-06,
485
+ "loss": 0.7109,
486
+ "step": 68
487
+ },
488
+ {
489
+ "epoch": 0.24949152542372882,
490
+ "grad_norm": 1.5270739656846004,
491
+ "learning_rate": 4.685866540361456e-06,
492
+ "loss": 0.7092,
493
+ "step": 69
494
+ },
495
+ {
496
+ "epoch": 0.25310734463276835,
497
+ "grad_norm": 1.5114873681601728,
498
+ "learning_rate": 4.670322405614621e-06,
499
+ "loss": 0.7055,
500
+ "step": 70
501
+ },
502
+ {
503
+ "epoch": 0.25672316384180793,
504
+ "grad_norm": 1.5299853438436042,
505
+ "learning_rate": 4.654430001858874e-06,
506
+ "loss": 0.6878,
507
+ "step": 71
508
+ },
509
+ {
510
+ "epoch": 0.26033898305084746,
511
+ "grad_norm": 1.445451157672883,
512
+ "learning_rate": 4.638191879329005e-06,
513
+ "loss": 0.7222,
514
+ "step": 72
515
+ },
516
+ {
517
+ "epoch": 0.263954802259887,
518
+ "grad_norm": 1.4221665529233392,
519
+ "learning_rate": 4.621610643736878e-06,
520
+ "loss": 0.7237,
521
+ "step": 73
522
+ },
523
+ {
524
+ "epoch": 0.2675706214689266,
525
+ "grad_norm": 1.469857395185097,
526
+ "learning_rate": 4.6046889558532925e-06,
527
+ "loss": 0.6966,
528
+ "step": 74
529
+ },
530
+ {
531
+ "epoch": 0.2711864406779661,
532
+ "grad_norm": 1.5144096217089977,
533
+ "learning_rate": 4.587429531081019e-06,
534
+ "loss": 0.7018,
535
+ "step": 75
536
+ },
537
+ {
538
+ "epoch": 0.27480225988700563,
539
+ "grad_norm": 1.3933861614255332,
540
+ "learning_rate": 4.569835139019054e-06,
541
+ "loss": 0.6548,
542
+ "step": 76
543
+ },
544
+ {
545
+ "epoch": 0.2784180790960452,
546
+ "grad_norm": 1.7309884671892724,
547
+ "learning_rate": 4.551908603018191e-06,
548
+ "loss": 0.6976,
549
+ "step": 77
550
+ },
551
+ {
552
+ "epoch": 0.28203389830508474,
553
+ "grad_norm": 1.5328106326816477,
554
+ "learning_rate": 4.53365279972796e-06,
555
+ "loss": 0.693,
556
+ "step": 78
557
+ },
558
+ {
559
+ "epoch": 0.28564971751412427,
560
+ "grad_norm": 1.5098349501089556,
561
+ "learning_rate": 4.515070658635013e-06,
562
+ "loss": 0.697,
563
+ "step": 79
564
+ },
565
+ {
566
+ "epoch": 0.28926553672316385,
567
+ "grad_norm": 1.7412535656694954,
568
+ "learning_rate": 4.4961651615930344e-06,
569
+ "loss": 0.7115,
570
+ "step": 80
571
+ },
572
+ {
573
+ "epoch": 0.2928813559322034,
574
+ "grad_norm": 1.5076941472793814,
575
+ "learning_rate": 4.476939342344246e-06,
576
+ "loss": 0.7163,
577
+ "step": 81
578
+ },
579
+ {
580
+ "epoch": 0.29649717514124296,
581
+ "grad_norm": 1.4730053806555845,
582
+ "learning_rate": 4.457396286032589e-06,
583
+ "loss": 0.6886,
584
+ "step": 82
585
+ },
586
+ {
587
+ "epoch": 0.3001129943502825,
588
+ "grad_norm": 1.4855157413144469,
589
+ "learning_rate": 4.437539128708647e-06,
590
+ "loss": 0.7339,
591
+ "step": 83
592
+ },
593
+ {
594
+ "epoch": 0.303728813559322,
595
+ "grad_norm": 1.5405150766486688,
596
+ "learning_rate": 4.417371056826417e-06,
597
+ "loss": 0.7149,
598
+ "step": 84
599
+ },
600
+ {
601
+ "epoch": 0.3073446327683616,
602
+ "grad_norm": 1.5508769466195937,
603
+ "learning_rate": 4.396895306731978e-06,
604
+ "loss": 0.6822,
605
+ "step": 85
606
+ },
607
+ {
608
+ "epoch": 0.31096045197740113,
609
+ "grad_norm": 1.4588960420622106,
610
+ "learning_rate": 4.376115164144157e-06,
611
+ "loss": 0.6836,
612
+ "step": 86
613
+ },
614
+ {
615
+ "epoch": 0.31457627118644066,
616
+ "grad_norm": 1.6627413334009173,
617
+ "learning_rate": 4.355033963627277e-06,
618
+ "loss": 0.7131,
619
+ "step": 87
620
+ },
621
+ {
622
+ "epoch": 0.31819209039548024,
623
+ "grad_norm": 1.5553517341256553,
624
+ "learning_rate": 4.333655088056065e-06,
625
+ "loss": 0.6854,
626
+ "step": 88
627
+ },
628
+ {
629
+ "epoch": 0.32180790960451977,
630
+ "grad_norm": 1.6684230900983013,
631
+ "learning_rate": 4.3119819680728e-06,
632
+ "loss": 0.7094,
633
+ "step": 89
634
+ },
635
+ {
636
+ "epoch": 0.3254237288135593,
637
+ "grad_norm": 1.3726285594917855,
638
+ "learning_rate": 4.290018081536807e-06,
639
+ "loss": 0.6872,
640
+ "step": 90
641
+ },
642
+ {
643
+ "epoch": 0.3290395480225989,
644
+ "grad_norm": 1.380724539985608,
645
+ "learning_rate": 4.267766952966369e-06,
646
+ "loss": 0.7139,
647
+ "step": 91
648
+ },
649
+ {
650
+ "epoch": 0.3326553672316384,
651
+ "grad_norm": 1.5348446771711333,
652
+ "learning_rate": 4.245232152973148e-06,
653
+ "loss": 0.6778,
654
+ "step": 92
655
+ },
656
+ {
657
+ "epoch": 0.336271186440678,
658
+ "grad_norm": 1.5229418737475282,
659
+ "learning_rate": 4.222417297689217e-06,
660
+ "loss": 0.6689,
661
+ "step": 93
662
+ },
663
+ {
664
+ "epoch": 0.3398870056497175,
665
+ "grad_norm": 1.5070456041355724,
666
+ "learning_rate": 4.199326048186783e-06,
667
+ "loss": 0.6894,
668
+ "step": 94
669
+ },
670
+ {
671
+ "epoch": 0.34350282485875705,
672
+ "grad_norm": 1.3616666744687627,
673
+ "learning_rate": 4.175962109890697e-06,
674
+ "loss": 0.6554,
675
+ "step": 95
676
+ },
677
+ {
678
+ "epoch": 0.34711864406779663,
679
+ "grad_norm": 1.5391506984706091,
680
+ "learning_rate": 4.152329231983852e-06,
681
+ "loss": 0.7023,
682
+ "step": 96
683
+ },
684
+ {
685
+ "epoch": 0.35073446327683616,
686
+ "grad_norm": 1.4241158917993244,
687
+ "learning_rate": 4.128431206805556e-06,
688
+ "loss": 0.7107,
689
+ "step": 97
690
+ },
691
+ {
692
+ "epoch": 0.3543502824858757,
693
+ "grad_norm": 1.4631603034598988,
694
+ "learning_rate": 4.104271869242975e-06,
695
+ "loss": 0.6894,
696
+ "step": 98
697
+ },
698
+ {
699
+ "epoch": 0.3579661016949153,
700
+ "grad_norm": 1.4094826388778878,
701
+ "learning_rate": 4.07985509611576e-06,
702
+ "loss": 0.677,
703
+ "step": 99
704
+ },
705
+ {
706
+ "epoch": 0.3615819209039548,
707
+ "grad_norm": 1.4740189681153695,
708
+ "learning_rate": 4.0551848055539345e-06,
709
+ "loss": 0.6699,
710
+ "step": 100
711
+ },
712
+ {
713
+ "epoch": 0.36519774011299433,
714
+ "grad_norm": 1.4525217649150708,
715
+ "learning_rate": 4.030264956369158e-06,
716
+ "loss": 0.7368,
717
+ "step": 101
718
+ },
719
+ {
720
+ "epoch": 0.3688135593220339,
721
+ "grad_norm": 1.451460518174865,
722
+ "learning_rate": 4.005099547419458e-06,
723
+ "loss": 0.7034,
724
+ "step": 102
725
+ },
726
+ {
727
+ "epoch": 0.37242937853107344,
728
+ "grad_norm": 1.5038951264951017,
729
+ "learning_rate": 3.979692616967543e-06,
730
+ "loss": 0.6837,
731
+ "step": 103
732
+ },
733
+ {
734
+ "epoch": 0.37604519774011297,
735
+ "grad_norm": 1.4157220265249935,
736
+ "learning_rate": 3.9540482420327845e-06,
737
+ "loss": 0.6875,
738
+ "step": 104
739
+ },
740
+ {
741
+ "epoch": 0.37966101694915255,
742
+ "grad_norm": 1.4737148597287204,
743
+ "learning_rate": 3.9281705377369814e-06,
744
+ "loss": 0.6901,
745
+ "step": 105
746
+ },
747
+ {
748
+ "epoch": 0.3832768361581921,
749
+ "grad_norm": 1.4677149428122727,
750
+ "learning_rate": 3.902063656644012e-06,
751
+ "loss": 0.6792,
752
+ "step": 106
753
+ },
754
+ {
755
+ "epoch": 0.38689265536723166,
756
+ "grad_norm": 1.3434999781262245,
757
+ "learning_rate": 3.875731788093478e-06,
758
+ "loss": 0.6876,
759
+ "step": 107
760
+ },
761
+ {
762
+ "epoch": 0.3905084745762712,
763
+ "grad_norm": 1.4987089091978376,
764
+ "learning_rate": 3.84917915752845e-06,
765
+ "loss": 0.6761,
766
+ "step": 108
767
+ },
768
+ {
769
+ "epoch": 0.3941242937853107,
770
+ "grad_norm": 1.508794866255814,
771
+ "learning_rate": 3.8224100258174066e-06,
772
+ "loss": 0.6838,
773
+ "step": 109
774
+ },
775
+ {
776
+ "epoch": 0.3977401129943503,
777
+ "grad_norm": 1.4688146101109116,
778
+ "learning_rate": 3.795428688570505e-06,
779
+ "loss": 0.684,
780
+ "step": 110
781
+ },
782
+ {
783
+ "epoch": 0.40135593220338983,
784
+ "grad_norm": 1.4606514616212791,
785
+ "learning_rate": 3.7682394754502687e-06,
786
+ "loss": 0.6824,
787
+ "step": 111
788
+ },
789
+ {
790
+ "epoch": 0.40497175141242936,
791
+ "grad_norm": 1.4096709625800348,
792
+ "learning_rate": 3.7408467494768104e-06,
793
+ "loss": 0.6969,
794
+ "step": 112
795
+ },
796
+ {
797
+ "epoch": 0.40858757062146894,
798
+ "grad_norm": 1.418524365345472,
799
+ "learning_rate": 3.7132549063277033e-06,
800
+ "loss": 0.7097,
801
+ "step": 113
802
+ },
803
+ {
804
+ "epoch": 0.41220338983050847,
805
+ "grad_norm": 1.5410281672091906,
806
+ "learning_rate": 3.685468373632613e-06,
807
+ "loss": 0.6746,
808
+ "step": 114
809
+ },
810
+ {
811
+ "epoch": 0.415819209039548,
812
+ "grad_norm": 1.3641313015018903,
813
+ "learning_rate": 3.657491610262802e-06,
814
+ "loss": 0.6448,
815
+ "step": 115
816
+ },
817
+ {
818
+ "epoch": 0.4194350282485876,
819
+ "grad_norm": 1.3041765820835833,
820
+ "learning_rate": 3.6293291056156178e-06,
821
+ "loss": 0.6819,
822
+ "step": 116
823
+ },
824
+ {
825
+ "epoch": 0.4230508474576271,
826
+ "grad_norm": 1.506905844856063,
827
+ "learning_rate": 3.600985378894086e-06,
828
+ "loss": 0.6876,
829
+ "step": 117
830
+ },
831
+ {
832
+ "epoch": 0.4266666666666667,
833
+ "grad_norm": 1.376689012221553,
834
+ "learning_rate": 3.572464978381719e-06,
835
+ "loss": 0.684,
836
+ "step": 118
837
+ },
838
+ {
839
+ "epoch": 0.4302824858757062,
840
+ "grad_norm": 1.340240336011346,
841
+ "learning_rate": 3.5437724807126583e-06,
842
+ "loss": 0.6505,
843
+ "step": 119
844
+ },
845
+ {
846
+ "epoch": 0.43389830508474575,
847
+ "grad_norm": 1.325670474835959,
848
+ "learning_rate": 3.514912490137268e-06,
849
+ "loss": 0.6357,
850
+ "step": 120
851
+ },
852
+ {
853
+ "epoch": 0.43751412429378533,
854
+ "grad_norm": 1.2967281789427187,
855
+ "learning_rate": 3.4858896377832966e-06,
856
+ "loss": 0.6716,
857
+ "step": 121
858
+ },
859
+ {
860
+ "epoch": 0.44112994350282486,
861
+ "grad_norm": 1.4289334076188702,
862
+ "learning_rate": 3.4567085809127247e-06,
863
+ "loss": 0.6749,
864
+ "step": 122
865
+ },
866
+ {
867
+ "epoch": 0.4447457627118644,
868
+ "grad_norm": 1.4006278853440177,
869
+ "learning_rate": 3.42737400217442e-06,
870
+ "loss": 0.6675,
871
+ "step": 123
872
+ },
873
+ {
874
+ "epoch": 0.448361581920904,
875
+ "grad_norm": 1.4903303746050145,
876
+ "learning_rate": 3.397890608852718e-06,
877
+ "loss": 0.6795,
878
+ "step": 124
879
+ },
880
+ {
881
+ "epoch": 0.4519774011299435,
882
+ "grad_norm": 1.5237327914091412,
883
+ "learning_rate": 3.3682631321120507e-06,
884
+ "loss": 0.6834,
885
+ "step": 125
886
+ },
887
+ {
888
+ "epoch": 0.45559322033898303,
889
+ "grad_norm": 1.375637272974929,
890
+ "learning_rate": 3.3384963262377434e-06,
891
+ "loss": 0.6546,
892
+ "step": 126
893
+ },
894
+ {
895
+ "epoch": 0.4592090395480226,
896
+ "grad_norm": 1.4010303116849099,
897
+ "learning_rate": 3.3085949678730953e-06,
898
+ "loss": 0.6687,
899
+ "step": 127
900
+ },
901
+ {
902
+ "epoch": 0.46282485875706214,
903
+ "grad_norm": 1.3723912301345371,
904
+ "learning_rate": 3.278563855252885e-06,
905
+ "loss": 0.6927,
906
+ "step": 128
907
+ },
908
+ {
909
+ "epoch": 0.46644067796610167,
910
+ "grad_norm": 1.4580226139492987,
911
+ "learning_rate": 3.248407807433396e-06,
912
+ "loss": 0.6843,
913
+ "step": 129
914
+ },
915
+ {
916
+ "epoch": 0.47005649717514125,
917
+ "grad_norm": 1.5657029406507326,
918
+ "learning_rate": 3.2181316635191125e-06,
919
+ "loss": 0.6639,
920
+ "step": 130
921
+ },
922
+ {
923
+ "epoch": 0.4736723163841808,
924
+ "grad_norm": 1.5943610613148829,
925
+ "learning_rate": 3.1877402818861954e-06,
926
+ "loss": 0.6655,
927
+ "step": 131
928
+ },
929
+ {
930
+ "epoch": 0.47728813559322036,
931
+ "grad_norm": 1.398551732301804,
932
+ "learning_rate": 3.157238539402862e-06,
933
+ "loss": 0.6648,
934
+ "step": 132
935
+ },
936
+ {
937
+ "epoch": 0.4809039548022599,
938
+ "grad_norm": 1.3527863119261647,
939
+ "learning_rate": 3.1266313306468018e-06,
940
+ "loss": 0.6793,
941
+ "step": 133
942
+ },
943
+ {
944
+ "epoch": 0.4845197740112994,
945
+ "grad_norm": 1.4133737666494006,
946
+ "learning_rate": 3.095923567119748e-06,
947
+ "loss": 0.6808,
948
+ "step": 134
949
+ },
950
+ {
951
+ "epoch": 0.488135593220339,
952
+ "grad_norm": 1.3489274410441074,
953
+ "learning_rate": 3.0651201764593375e-06,
954
+ "loss": 0.669,
955
+ "step": 135
956
+ },
957
+ {
958
+ "epoch": 0.49175141242937853,
959
+ "grad_norm": 1.4710077216567483,
960
+ "learning_rate": 3.034226101648377e-06,
961
+ "loss": 0.6685,
962
+ "step": 136
963
+ },
964
+ {
965
+ "epoch": 0.49536723163841806,
966
+ "grad_norm": 1.4143201023235143,
967
+ "learning_rate": 3.0032463002216504e-06,
968
+ "loss": 0.6803,
969
+ "step": 137
970
+ },
971
+ {
972
+ "epoch": 0.49898305084745764,
973
+ "grad_norm": 1.350434140774409,
974
+ "learning_rate": 2.972185743470386e-06,
975
+ "loss": 0.6293,
976
+ "step": 138
977
+ },
978
+ {
979
+ "epoch": 0.5025988700564972,
980
+ "grad_norm": 1.4061918089975518,
981
+ "learning_rate": 2.941049415644522e-06,
982
+ "loss": 0.6981,
983
+ "step": 139
984
+ },
985
+ {
986
+ "epoch": 0.5062146892655367,
987
+ "grad_norm": 1.4466820101061297,
988
+ "learning_rate": 2.909842313152888e-06,
989
+ "loss": 0.6738,
990
+ "step": 140
991
+ },
992
+ {
993
+ "epoch": 0.5098305084745762,
994
+ "grad_norm": 1.5124850873525673,
995
+ "learning_rate": 2.878569443761442e-06,
996
+ "loss": 0.7131,
997
+ "step": 141
998
+ },
999
+ {
1000
+ "epoch": 0.5134463276836159,
1001
+ "grad_norm": 1.4743009883750753,
1002
+ "learning_rate": 2.847235825789673e-06,
1003
+ "loss": 0.7016,
1004
+ "step": 142
1005
+ },
1006
+ {
1007
+ "epoch": 0.5170621468926554,
1008
+ "grad_norm": 1.3586041525935764,
1009
+ "learning_rate": 2.8158464873053236e-06,
1010
+ "loss": 0.6724,
1011
+ "step": 143
1012
+ },
1013
+ {
1014
+ "epoch": 0.5206779661016949,
1015
+ "grad_norm": 1.4996529158631906,
1016
+ "learning_rate": 2.784406465317538e-06,
1017
+ "loss": 0.6662,
1018
+ "step": 144
1019
+ },
1020
+ {
1021
+ "epoch": 0.5242937853107345,
1022
+ "grad_norm": 1.4671966292049852,
1023
+ "learning_rate": 2.752920804968581e-06,
1024
+ "loss": 0.6631,
1025
+ "step": 145
1026
+ },
1027
+ {
1028
+ "epoch": 0.527909604519774,
1029
+ "grad_norm": 1.444812582502839,
1030
+ "learning_rate": 2.7213945587242507e-06,
1031
+ "loss": 0.6513,
1032
+ "step": 146
1033
+ },
1034
+ {
1035
+ "epoch": 0.5315254237288135,
1036
+ "grad_norm": 1.3053540444757412,
1037
+ "learning_rate": 2.689832785563116e-06,
1038
+ "loss": 0.6555,
1039
+ "step": 147
1040
+ },
1041
+ {
1042
+ "epoch": 0.5351412429378531,
1043
+ "grad_norm": 1.314006962084444,
1044
+ "learning_rate": 2.658240550164704e-06,
1045
+ "loss": 0.6661,
1046
+ "step": 148
1047
+ },
1048
+ {
1049
+ "epoch": 0.5387570621468927,
1050
+ "grad_norm": 1.4304673510029906,
1051
+ "learning_rate": 2.626622922096782e-06,
1052
+ "loss": 0.6621,
1053
+ "step": 149
1054
+ },
1055
+ {
1056
+ "epoch": 0.5423728813559322,
1057
+ "grad_norm": 1.4876534124839516,
1058
+ "learning_rate": 2.5949849750018486e-06,
1059
+ "loss": 0.6758,
1060
+ "step": 150
1061
+ },
1062
+ {
1063
+ "epoch": 0.5459887005649717,
1064
+ "grad_norm": 1.3200607589115334,
1065
+ "learning_rate": 2.56333178578297e-06,
1066
+ "loss": 0.6559,
1067
+ "step": 151
1068
+ },
1069
+ {
1070
+ "epoch": 0.5496045197740113,
1071
+ "grad_norm": 1.3240990359086642,
1072
+ "learning_rate": 2.5316684337891005e-06,
1073
+ "loss": 0.6232,
1074
+ "step": 152
1075
+ },
1076
+ {
1077
+ "epoch": 0.5532203389830509,
1078
+ "grad_norm": 1.3124913285203368,
1079
+ "learning_rate": 2.5e-06,
1080
+ "loss": 0.6373,
1081
+ "step": 153
1082
+ },
1083
+ {
1084
+ "epoch": 0.5568361581920904,
1085
+ "grad_norm": 1.3981996964149215,
1086
+ "learning_rate": 2.4683315662109003e-06,
1087
+ "loss": 0.6779,
1088
+ "step": 154
1089
+ },
1090
+ {
1091
+ "epoch": 0.56045197740113,
1092
+ "grad_norm": 1.3816310911971024,
1093
+ "learning_rate": 2.436668214217031e-06,
1094
+ "loss": 0.654,
1095
+ "step": 155
1096
+ },
1097
+ {
1098
+ "epoch": 0.5640677966101695,
1099
+ "grad_norm": 1.263049809743652,
1100
+ "learning_rate": 2.4050150249981522e-06,
1101
+ "loss": 0.6625,
1102
+ "step": 156
1103
+ },
1104
+ {
1105
+ "epoch": 0.567683615819209,
1106
+ "grad_norm": 1.3247706606665524,
1107
+ "learning_rate": 2.3733770779032185e-06,
1108
+ "loss": 0.6862,
1109
+ "step": 157
1110
+ },
1111
+ {
1112
+ "epoch": 0.5712994350282485,
1113
+ "grad_norm": 1.3384592393063528,
1114
+ "learning_rate": 2.341759449835297e-06,
1115
+ "loss": 0.669,
1116
+ "step": 158
1117
+ },
1118
+ {
1119
+ "epoch": 0.5749152542372882,
1120
+ "grad_norm": 1.3084651079974374,
1121
+ "learning_rate": 2.310167214436885e-06,
1122
+ "loss": 0.6389,
1123
+ "step": 159
1124
+ },
1125
+ {
1126
+ "epoch": 0.5785310734463277,
1127
+ "grad_norm": 1.3374680724124108,
1128
+ "learning_rate": 2.27860544127575e-06,
1129
+ "loss": 0.6472,
1130
+ "step": 160
1131
+ },
1132
+ {
1133
+ "epoch": 0.5821468926553672,
1134
+ "grad_norm": 1.3122640789722633,
1135
+ "learning_rate": 2.24707919503142e-06,
1136
+ "loss": 0.6579,
1137
+ "step": 161
1138
+ },
1139
+ {
1140
+ "epoch": 0.5857627118644068,
1141
+ "grad_norm": 1.4412496554625216,
1142
+ "learning_rate": 2.2155935346824634e-06,
1143
+ "loss": 0.6481,
1144
+ "step": 162
1145
+ },
1146
+ {
1147
+ "epoch": 0.5893785310734463,
1148
+ "grad_norm": 1.3863338838498946,
1149
+ "learning_rate": 2.1841535126946777e-06,
1150
+ "loss": 0.6535,
1151
+ "step": 163
1152
+ },
1153
+ {
1154
+ "epoch": 0.5929943502824859,
1155
+ "grad_norm": 1.345502076046215,
1156
+ "learning_rate": 2.1527641742103282e-06,
1157
+ "loss": 0.6707,
1158
+ "step": 164
1159
+ },
1160
+ {
1161
+ "epoch": 0.5966101694915255,
1162
+ "grad_norm": 1.3847319032734033,
1163
+ "learning_rate": 2.1214305562385592e-06,
1164
+ "loss": 0.6663,
1165
+ "step": 165
1166
+ },
1167
+ {
1168
+ "epoch": 0.600225988700565,
1169
+ "grad_norm": 1.430665603476504,
1170
+ "learning_rate": 2.0901576868471125e-06,
1171
+ "loss": 0.6747,
1172
+ "step": 166
1173
+ },
1174
+ {
1175
+ "epoch": 0.6038418079096045,
1176
+ "grad_norm": 1.353261054674096,
1177
+ "learning_rate": 2.05895058435548e-06,
1178
+ "loss": 0.6512,
1179
+ "step": 167
1180
+ },
1181
+ {
1182
+ "epoch": 0.607457627118644,
1183
+ "grad_norm": 1.2859249411363938,
1184
+ "learning_rate": 2.0278142565296153e-06,
1185
+ "loss": 0.6324,
1186
+ "step": 168
1187
+ },
1188
+ {
1189
+ "epoch": 0.6110734463276836,
1190
+ "grad_norm": 1.4013926433738113,
1191
+ "learning_rate": 1.9967536997783495e-06,
1192
+ "loss": 0.6679,
1193
+ "step": 169
1194
+ },
1195
+ {
1196
+ "epoch": 0.6146892655367232,
1197
+ "grad_norm": 1.3862043238014647,
1198
+ "learning_rate": 1.9657738983516227e-06,
1199
+ "loss": 0.6729,
1200
+ "step": 170
1201
+ },
1202
+ {
1203
+ "epoch": 0.6183050847457627,
1204
+ "grad_norm": 1.3586507239524463,
1205
+ "learning_rate": 1.934879823540663e-06,
1206
+ "loss": 0.6493,
1207
+ "step": 171
1208
+ },
1209
+ {
1210
+ "epoch": 0.6219209039548023,
1211
+ "grad_norm": 1.3297630157555045,
1212
+ "learning_rate": 1.9040764328802523e-06,
1213
+ "loss": 0.6398,
1214
+ "step": 172
1215
+ },
1216
+ {
1217
+ "epoch": 0.6255367231638418,
1218
+ "grad_norm": 1.3817085459115725,
1219
+ "learning_rate": 1.8733686693531986e-06,
1220
+ "loss": 0.6582,
1221
+ "step": 173
1222
+ },
1223
+ {
1224
+ "epoch": 0.6291525423728813,
1225
+ "grad_norm": 1.3202548993972594,
1226
+ "learning_rate": 1.842761460597138e-06,
1227
+ "loss": 0.6532,
1228
+ "step": 174
1229
+ },
1230
+ {
1231
+ "epoch": 0.632768361581921,
1232
+ "grad_norm": 1.3288961390749972,
1233
+ "learning_rate": 1.812259718113805e-06,
1234
+ "loss": 0.6603,
1235
+ "step": 175
1236
+ },
1237
+ {
1238
+ "epoch": 0.6363841807909605,
1239
+ "grad_norm": 1.329943461477084,
1240
+ "learning_rate": 1.7818683364808883e-06,
1241
+ "loss": 0.658,
1242
+ "step": 176
1243
+ },
1244
+ {
1245
+ "epoch": 0.64,
1246
+ "grad_norm": 1.3692273444745175,
1247
+ "learning_rate": 1.7515921925666053e-06,
1248
+ "loss": 0.6317,
1249
+ "step": 177
1250
+ },
1251
+ {
1252
+ "epoch": 0.6436158192090395,
1253
+ "grad_norm": 1.421706203526152,
1254
+ "learning_rate": 1.7214361447471156e-06,
1255
+ "loss": 0.677,
1256
+ "step": 178
1257
+ },
1258
+ {
1259
+ "epoch": 0.6472316384180791,
1260
+ "grad_norm": 1.3083895534561967,
1261
+ "learning_rate": 1.6914050321269049e-06,
1262
+ "loss": 0.6736,
1263
+ "step": 179
1264
+ },
1265
+ {
1266
+ "epoch": 0.6508474576271186,
1267
+ "grad_norm": 1.3408157323699283,
1268
+ "learning_rate": 1.6615036737622574e-06,
1269
+ "loss": 0.6802,
1270
+ "step": 180
1271
+ },
1272
+ {
1273
+ "epoch": 0.6544632768361582,
1274
+ "grad_norm": 1.2866436449644132,
1275
+ "learning_rate": 1.6317368678879497e-06,
1276
+ "loss": 0.646,
1277
+ "step": 181
1278
+ },
1279
+ {
1280
+ "epoch": 0.6580790960451978,
1281
+ "grad_norm": 1.4469309073814418,
1282
+ "learning_rate": 1.6021093911472825e-06,
1283
+ "loss": 0.6502,
1284
+ "step": 182
1285
+ },
1286
+ {
1287
+ "epoch": 0.6616949152542373,
1288
+ "grad_norm": 1.3285438490415578,
1289
+ "learning_rate": 1.572625997825581e-06,
1290
+ "loss": 0.6392,
1291
+ "step": 183
1292
+ },
1293
+ {
1294
+ "epoch": 0.6653107344632768,
1295
+ "grad_norm": 1.3767595914556963,
1296
+ "learning_rate": 1.5432914190872757e-06,
1297
+ "loss": 0.6478,
1298
+ "step": 184
1299
+ },
1300
+ {
1301
+ "epoch": 0.6689265536723163,
1302
+ "grad_norm": 1.3913230479527472,
1303
+ "learning_rate": 1.5141103622167042e-06,
1304
+ "loss": 0.6624,
1305
+ "step": 185
1306
+ },
1307
+ {
1308
+ "epoch": 0.672542372881356,
1309
+ "grad_norm": 1.3717018869154762,
1310
+ "learning_rate": 1.4850875098627326e-06,
1311
+ "loss": 0.6519,
1312
+ "step": 186
1313
+ },
1314
+ {
1315
+ "epoch": 0.6761581920903955,
1316
+ "grad_norm": 1.3411020703523342,
1317
+ "learning_rate": 1.456227519287343e-06,
1318
+ "loss": 0.6382,
1319
+ "step": 187
1320
+ },
1321
+ {
1322
+ "epoch": 0.679774011299435,
1323
+ "grad_norm": 1.238291654237968,
1324
+ "learning_rate": 1.4275350216182824e-06,
1325
+ "loss": 0.6391,
1326
+ "step": 188
1327
+ },
1328
+ {
1329
+ "epoch": 0.6833898305084746,
1330
+ "grad_norm": 1.374517850534095,
1331
+ "learning_rate": 1.3990146211059141e-06,
1332
+ "loss": 0.6456,
1333
+ "step": 189
1334
+ },
1335
+ {
1336
+ "epoch": 0.6870056497175141,
1337
+ "grad_norm": 1.306148052181935,
1338
+ "learning_rate": 1.3706708943843822e-06,
1339
+ "loss": 0.6441,
1340
+ "step": 190
1341
+ },
1342
+ {
1343
+ "epoch": 0.6906214689265536,
1344
+ "grad_norm": 1.3876372946236282,
1345
+ "learning_rate": 1.3425083897371983e-06,
1346
+ "loss": 0.6603,
1347
+ "step": 191
1348
+ },
1349
+ {
1350
+ "epoch": 0.6942372881355933,
1351
+ "grad_norm": 1.3904204488306329,
1352
+ "learning_rate": 1.3145316263673874e-06,
1353
+ "loss": 0.6721,
1354
+ "step": 192
1355
+ },
1356
+ {
1357
+ "epoch": 0.6978531073446328,
1358
+ "grad_norm": 1.510808405530817,
1359
+ "learning_rate": 1.286745093672298e-06,
1360
+ "loss": 0.649,
1361
+ "step": 193
1362
+ },
1363
+ {
1364
+ "epoch": 0.7014689265536723,
1365
+ "grad_norm": 1.4312145193748698,
1366
+ "learning_rate": 1.2591532505231906e-06,
1367
+ "loss": 0.6573,
1368
+ "step": 194
1369
+ },
1370
+ {
1371
+ "epoch": 0.7050847457627119,
1372
+ "grad_norm": 1.4024105046257231,
1373
+ "learning_rate": 1.2317605245497324e-06,
1374
+ "loss": 0.6727,
1375
+ "step": 195
1376
+ },
1377
+ {
1378
+ "epoch": 0.7087005649717514,
1379
+ "grad_norm": 1.3505688502581619,
1380
+ "learning_rate": 1.204571311429496e-06,
1381
+ "loss": 0.6131,
1382
+ "step": 196
1383
+ },
1384
+ {
1385
+ "epoch": 0.7123163841807909,
1386
+ "grad_norm": 1.319472329102849,
1387
+ "learning_rate": 1.1775899741825947e-06,
1388
+ "loss": 0.6434,
1389
+ "step": 197
1390
+ },
1391
+ {
1392
+ "epoch": 0.7159322033898305,
1393
+ "grad_norm": 1.5152192403656248,
1394
+ "learning_rate": 1.1508208424715511e-06,
1395
+ "loss": 0.656,
1396
+ "step": 198
1397
+ },
1398
+ {
1399
+ "epoch": 0.7195480225988701,
1400
+ "grad_norm": 1.6136474853206006,
1401
+ "learning_rate": 1.1242682119065217e-06,
1402
+ "loss": 0.6613,
1403
+ "step": 199
1404
+ },
1405
+ {
1406
+ "epoch": 0.7231638418079096,
1407
+ "grad_norm": 1.312425015581362,
1408
+ "learning_rate": 1.0979363433559892e-06,
1409
+ "loss": 0.6577,
1410
+ "step": 200
1411
+ },
1412
+ {
1413
+ "epoch": 0.7267796610169491,
1414
+ "grad_norm": 1.3953598075891687,
1415
+ "learning_rate": 1.0718294622630188e-06,
1416
+ "loss": 0.6905,
1417
+ "step": 201
1418
+ },
1419
+ {
1420
+ "epoch": 0.7303954802259887,
1421
+ "grad_norm": 1.372903007290825,
1422
+ "learning_rate": 1.045951757967215e-06,
1423
+ "loss": 0.6448,
1424
+ "step": 202
1425
+ },
1426
+ {
1427
+ "epoch": 0.7340112994350283,
1428
+ "grad_norm": 1.4652703276389691,
1429
+ "learning_rate": 1.0203073830324566e-06,
1430
+ "loss": 0.6395,
1431
+ "step": 203
1432
+ },
1433
+ {
1434
+ "epoch": 0.7376271186440678,
1435
+ "grad_norm": 1.366422271732463,
1436
+ "learning_rate": 9.949004525805423e-07,
1437
+ "loss": 0.6148,
1438
+ "step": 204
1439
+ },
1440
+ {
1441
+ "epoch": 0.7412429378531074,
1442
+ "grad_norm": 1.2886663538886012,
1443
+ "learning_rate": 9.697350436308428e-07,
1444
+ "loss": 0.6322,
1445
+ "step": 205
1446
+ },
1447
+ {
1448
+ "epoch": 0.7448587570621469,
1449
+ "grad_norm": 1.3574509449302405,
1450
+ "learning_rate": 9.448151944460657e-07,
1451
+ "loss": 0.6835,
1452
+ "step": 206
1453
+ },
1454
+ {
1455
+ "epoch": 0.7484745762711864,
1456
+ "grad_norm": 1.393654049362733,
1457
+ "learning_rate": 9.201449038842403e-07,
1458
+ "loss": 0.6713,
1459
+ "step": 207
1460
+ },
1461
+ {
1462
+ "epoch": 0.7520903954802259,
1463
+ "grad_norm": 1.3962653237548226,
1464
+ "learning_rate": 8.957281307570254e-07,
1465
+ "loss": 0.6349,
1466
+ "step": 208
1467
+ },
1468
+ {
1469
+ "epoch": 0.7557062146892656,
1470
+ "grad_norm": 1.2716349996486196,
1471
+ "learning_rate": 8.71568793194445e-07,
1472
+ "loss": 0.6395,
1473
+ "step": 209
1474
+ },
1475
+ {
1476
+ "epoch": 0.7593220338983051,
1477
+ "grad_norm": 1.3461355380403557,
1478
+ "learning_rate": 8.476707680161486e-07,
1479
+ "loss": 0.6566,
1480
+ "step": 210
1481
+ },
1482
+ {
1483
+ "epoch": 0.7629378531073446,
1484
+ "grad_norm": 1.3005123962225364,
1485
+ "learning_rate": 8.240378901093035e-07,
1486
+ "loss": 0.6498,
1487
+ "step": 211
1488
+ },
1489
+ {
1490
+ "epoch": 0.7665536723163842,
1491
+ "grad_norm": 1.2709444859864987,
1492
+ "learning_rate": 8.006739518132179e-07,
1493
+ "loss": 0.6702,
1494
+ "step": 212
1495
+ },
1496
+ {
1497
+ "epoch": 0.7701694915254237,
1498
+ "grad_norm": 1.3327493213768535,
1499
+ "learning_rate": 7.775827023107835e-07,
1500
+ "loss": 0.6403,
1501
+ "step": 213
1502
+ },
1503
+ {
1504
+ "epoch": 0.7737853107344633,
1505
+ "grad_norm": 1.4047092975707265,
1506
+ "learning_rate": 7.547678470268526e-07,
1507
+ "loss": 0.6492,
1508
+ "step": 214
1509
+ },
1510
+ {
1511
+ "epoch": 0.7774011299435029,
1512
+ "grad_norm": 1.383631976222337,
1513
+ "learning_rate": 7.322330470336314e-07,
1514
+ "loss": 0.6289,
1515
+ "step": 215
1516
+ },
1517
+ {
1518
+ "epoch": 0.7810169491525424,
1519
+ "grad_norm": 1.2567546465681303,
1520
+ "learning_rate": 7.099819184631929e-07,
1521
+ "loss": 0.6393,
1522
+ "step": 216
1523
+ },
1524
+ {
1525
+ "epoch": 0.7846327683615819,
1526
+ "grad_norm": 1.2354895441269147,
1527
+ "learning_rate": 6.880180319272006e-07,
1528
+ "loss": 0.6429,
1529
+ "step": 217
1530
+ },
1531
+ {
1532
+ "epoch": 0.7882485875706214,
1533
+ "grad_norm": 1.3478465932161185,
1534
+ "learning_rate": 6.663449119439358e-07,
1535
+ "loss": 0.6652,
1536
+ "step": 218
1537
+ },
1538
+ {
1539
+ "epoch": 0.791864406779661,
1540
+ "grad_norm": 1.3094969549541247,
1541
+ "learning_rate": 6.449660363727236e-07,
1542
+ "loss": 0.6424,
1543
+ "step": 219
1544
+ },
1545
+ {
1546
+ "epoch": 0.7954802259887006,
1547
+ "grad_norm": 1.385053278123551,
1548
+ "learning_rate": 6.238848358558439e-07,
1549
+ "loss": 0.6409,
1550
+ "step": 220
1551
+ },
1552
+ {
1553
+ "epoch": 0.7990960451977401,
1554
+ "grad_norm": 1.3349840769877994,
1555
+ "learning_rate": 6.031046932680229e-07,
1556
+ "loss": 0.6815,
1557
+ "step": 221
1558
+ },
1559
+ {
1560
+ "epoch": 0.8027118644067797,
1561
+ "grad_norm": 1.4435164246937722,
1562
+ "learning_rate": 5.826289431735832e-07,
1563
+ "loss": 0.6489,
1564
+ "step": 222
1565
+ },
1566
+ {
1567
+ "epoch": 0.8063276836158192,
1568
+ "grad_norm": 1.3356172924249725,
1569
+ "learning_rate": 5.624608712913531e-07,
1570
+ "loss": 0.6298,
1571
+ "step": 223
1572
+ },
1573
+ {
1574
+ "epoch": 0.8099435028248587,
1575
+ "grad_norm": 1.2977048398488058,
1576
+ "learning_rate": 5.426037139674117e-07,
1577
+ "loss": 0.6509,
1578
+ "step": 224
1579
+ },
1580
+ {
1581
+ "epoch": 0.8135593220338984,
1582
+ "grad_norm": 1.3774919529523362,
1583
+ "learning_rate": 5.23060657655754e-07,
1584
+ "loss": 0.6573,
1585
+ "step": 225
1586
+ },
1587
+ {
1588
+ "epoch": 0.8171751412429379,
1589
+ "grad_norm": 1.3410009004205188,
1590
+ "learning_rate": 5.038348384069663e-07,
1591
+ "loss": 0.633,
1592
+ "step": 226
1593
+ },
1594
+ {
1595
+ "epoch": 0.8207909604519774,
1596
+ "grad_norm": 1.2928727452886148,
1597
+ "learning_rate": 4.84929341364988e-07,
1598
+ "loss": 0.6754,
1599
+ "step": 227
1600
+ },
1601
+ {
1602
+ "epoch": 0.8244067796610169,
1603
+ "grad_norm": 1.358332904803305,
1604
+ "learning_rate": 4.6634720027204093e-07,
1605
+ "loss": 0.6614,
1606
+ "step": 228
1607
+ },
1608
+ {
1609
+ "epoch": 0.8280225988700565,
1610
+ "grad_norm": 1.4907573288328078,
1611
+ "learning_rate": 4.480913969818099e-07,
1612
+ "loss": 0.6281,
1613
+ "step": 229
1614
+ },
1615
+ {
1616
+ "epoch": 0.831638418079096,
1617
+ "grad_norm": 1.3392158203262607,
1618
+ "learning_rate": 4.3016486098094667e-07,
1619
+ "loss": 0.6161,
1620
+ "step": 230
1621
+ },
1622
+ {
1623
+ "epoch": 0.8352542372881356,
1624
+ "grad_norm": 1.2444012140753318,
1625
+ "learning_rate": 4.125704689189819e-07,
1626
+ "loss": 0.6247,
1627
+ "step": 231
1628
+ },
1629
+ {
1630
+ "epoch": 0.8388700564971752,
1631
+ "grad_norm": 1.4784447467052926,
1632
+ "learning_rate": 3.953110441467073e-07,
1633
+ "loss": 0.6586,
1634
+ "step": 232
1635
+ },
1636
+ {
1637
+ "epoch": 0.8424858757062147,
1638
+ "grad_norm": 1.366997421968513,
1639
+ "learning_rate": 3.7838935626312246e-07,
1640
+ "loss": 0.6463,
1641
+ "step": 233
1642
+ },
1643
+ {
1644
+ "epoch": 0.8461016949152542,
1645
+ "grad_norm": 1.4541952821449111,
1646
+ "learning_rate": 3.6180812067099477e-07,
1647
+ "loss": 0.6726,
1648
+ "step": 234
1649
+ },
1650
+ {
1651
+ "epoch": 0.8497175141242937,
1652
+ "grad_norm": 1.3494835181921292,
1653
+ "learning_rate": 3.455699981411259e-07,
1654
+ "loss": 0.6378,
1655
+ "step": 235
1656
+ },
1657
+ {
1658
+ "epoch": 0.8533333333333334,
1659
+ "grad_norm": 1.3091535029497192,
1660
+ "learning_rate": 3.296775943853789e-07,
1661
+ "loss": 0.6381,
1662
+ "step": 236
1663
+ },
1664
+ {
1665
+ "epoch": 0.8569491525423729,
1666
+ "grad_norm": 1.292004503291086,
1667
+ "learning_rate": 3.141334596385448e-07,
1668
+ "loss": 0.6361,
1669
+ "step": 237
1670
+ },
1671
+ {
1672
+ "epoch": 0.8605649717514124,
1673
+ "grad_norm": 1.3072359435785652,
1674
+ "learning_rate": 2.9894008824910726e-07,
1675
+ "loss": 0.6311,
1676
+ "step": 238
1677
+ },
1678
+ {
1679
+ "epoch": 0.864180790960452,
1680
+ "grad_norm": 1.3418443898914727,
1681
+ "learning_rate": 2.840999182789797e-07,
1682
+ "loss": 0.6584,
1683
+ "step": 239
1684
+ },
1685
+ {
1686
+ "epoch": 0.8677966101694915,
1687
+ "grad_norm": 1.3790407833555425,
1688
+ "learning_rate": 2.696153311122704e-07,
1689
+ "loss": 0.6275,
1690
+ "step": 240
1691
+ },
1692
+ {
1693
+ "epoch": 0.871412429378531,
1694
+ "grad_norm": 1.3668643411134043,
1695
+ "learning_rate": 2.5548865107314606e-07,
1696
+ "loss": 0.6574,
1697
+ "step": 241
1698
+ },
1699
+ {
1700
+ "epoch": 0.8750282485875707,
1701
+ "grad_norm": 1.267748779732102,
1702
+ "learning_rate": 2.4172214505285006e-07,
1703
+ "loss": 0.6394,
1704
+ "step": 242
1705
+ },
1706
+ {
1707
+ "epoch": 0.8786440677966102,
1708
+ "grad_norm": 1.2912726516960031,
1709
+ "learning_rate": 2.2831802214593774e-07,
1710
+ "loss": 0.6352,
1711
+ "step": 243
1712
+ },
1713
+ {
1714
+ "epoch": 0.8822598870056497,
1715
+ "grad_norm": 1.3408535402209096,
1716
+ "learning_rate": 2.1527843329578328e-07,
1717
+ "loss": 0.6332,
1718
+ "step": 244
1719
+ },
1720
+ {
1721
+ "epoch": 0.8858757062146893,
1722
+ "grad_norm": 1.369964120309017,
1723
+ "learning_rate": 2.026054709494235e-07,
1724
+ "loss": 0.6488,
1725
+ "step": 245
1726
+ },
1727
+ {
1728
+ "epoch": 0.8894915254237288,
1729
+ "grad_norm": 1.2985394908560597,
1730
+ "learning_rate": 1.9030116872178317e-07,
1731
+ "loss": 0.6268,
1732
+ "step": 246
1733
+ },
1734
+ {
1735
+ "epoch": 0.8931073446327683,
1736
+ "grad_norm": 1.2695253299944342,
1737
+ "learning_rate": 1.7836750106934475e-07,
1738
+ "loss": 0.6098,
1739
+ "step": 247
1740
+ },
1741
+ {
1742
+ "epoch": 0.896723163841808,
1743
+ "grad_norm": 1.2614680998276686,
1744
+ "learning_rate": 1.6680638297330854e-07,
1745
+ "loss": 0.6328,
1746
+ "step": 248
1747
+ },
1748
+ {
1749
+ "epoch": 0.9003389830508475,
1750
+ "grad_norm": 1.3022416023187458,
1751
+ "learning_rate": 1.5561966963229925e-07,
1752
+ "loss": 0.6353,
1753
+ "step": 249
1754
+ },
1755
+ {
1756
+ "epoch": 0.903954802259887,
1757
+ "grad_norm": 1.3192179782937912,
1758
+ "learning_rate": 1.448091561646628e-07,
1759
+ "loss": 0.6212,
1760
+ "step": 250
1761
+ },
1762
+ {
1763
+ "epoch": 0.9075706214689265,
1764
+ "grad_norm": 1.391821357807215,
1765
+ "learning_rate": 1.3437657732040783e-07,
1766
+ "loss": 0.6581,
1767
+ "step": 251
1768
+ },
1769
+ {
1770
+ "epoch": 0.9111864406779661,
1771
+ "grad_norm": 1.348097897319632,
1772
+ "learning_rate": 1.243236072028317e-07,
1773
+ "loss": 0.6483,
1774
+ "step": 252
1775
+ },
1776
+ {
1777
+ "epoch": 0.9148022598870057,
1778
+ "grad_norm": 1.3327973766461398,
1779
+ "learning_rate": 1.1465185899987797e-07,
1780
+ "loss": 0.6688,
1781
+ "step": 253
1782
+ },
1783
+ {
1784
+ "epoch": 0.9184180790960452,
1785
+ "grad_norm": 1.3050936769777537,
1786
+ "learning_rate": 1.0536288472527162e-07,
1787
+ "loss": 0.6702,
1788
+ "step": 254
1789
+ },
1790
+ {
1791
+ "epoch": 0.9220338983050848,
1792
+ "grad_norm": 1.3816378424721178,
1793
+ "learning_rate": 9.645817496946902e-08,
1794
+ "loss": 0.663,
1795
+ "step": 255
1796
+ },
1797
+ {
1798
+ "epoch": 0.9256497175141243,
1799
+ "grad_norm": 1.3585454766173655,
1800
+ "learning_rate": 8.79391586604636e-08,
1801
+ "loss": 0.64,
1802
+ "step": 256
1803
+ },
1804
+ {
1805
+ "epoch": 0.9292655367231638,
1806
+ "grad_norm": 1.3292531553316056,
1807
+ "learning_rate": 7.980720283448957e-08,
1808
+ "loss": 0.6335,
1809
+ "step": 257
1810
+ },
1811
+ {
1812
+ "epoch": 0.9328813559322033,
1813
+ "grad_norm": 1.2599441985317357,
1814
+ "learning_rate": 7.206361241665266e-08,
1815
+ "loss": 0.6403,
1816
+ "step": 258
1817
+ },
1818
+ {
1819
+ "epoch": 0.936497175141243,
1820
+ "grad_norm": 1.3958906990596642,
1821
+ "learning_rate": 6.470963001153268e-08,
1822
+ "loss": 0.6383,
1823
+ "step": 259
1824
+ },
1825
+ {
1826
+ "epoch": 0.9401129943502825,
1827
+ "grad_norm": 1.295975911169058,
1828
+ "learning_rate": 5.774643570378296e-08,
1829
+ "loss": 0.6485,
1830
+ "step": 260
1831
+ },
1832
+ {
1833
+ "epoch": 0.943728813559322,
1834
+ "grad_norm": 1.247115424184442,
1835
+ "learning_rate": 5.117514686876379e-08,
1836
+ "loss": 0.6479,
1837
+ "step": 261
1838
+ },
1839
+ {
1840
+ "epoch": 0.9473446327683616,
1841
+ "grad_norm": 1.2578135030925344,
1842
+ "learning_rate": 4.4996817993239464e-08,
1843
+ "loss": 0.6363,
1844
+ "step": 262
1845
+ },
1846
+ {
1847
+ "epoch": 0.9509604519774011,
1848
+ "grad_norm": 1.2567862444318008,
1849
+ "learning_rate": 3.9212440506164465e-08,
1850
+ "loss": 0.6417,
1851
+ "step": 263
1852
+ },
1853
+ {
1854
+ "epoch": 0.9545762711864407,
1855
+ "grad_norm": 1.2972287074987505,
1856
+ "learning_rate": 3.382294261959157e-08,
1857
+ "loss": 0.676,
1858
+ "step": 264
1859
+ },
1860
+ {
1861
+ "epoch": 0.9581920903954803,
1862
+ "grad_norm": 1.3028064182497767,
1863
+ "learning_rate": 2.8829189179721552e-08,
1864
+ "loss": 0.6502,
1865
+ "step": 265
1866
+ },
1867
+ {
1868
+ "epoch": 0.9618079096045198,
1869
+ "grad_norm": 1.3401154575841365,
1870
+ "learning_rate": 2.423198152812306e-08,
1871
+ "loss": 0.6271,
1872
+ "step": 266
1873
+ },
1874
+ {
1875
+ "epoch": 0.9654237288135593,
1876
+ "grad_norm": 1.332097876741386,
1877
+ "learning_rate": 2.0032057373142453e-08,
1878
+ "loss": 0.6312,
1879
+ "step": 267
1880
+ },
1881
+ {
1882
+ "epoch": 0.9690395480225988,
1883
+ "grad_norm": 1.2752118722459802,
1884
+ "learning_rate": 1.6230090671524312e-08,
1885
+ "loss": 0.6313,
1886
+ "step": 268
1887
+ },
1888
+ {
1889
+ "epoch": 0.9726553672316384,
1890
+ "grad_norm": 1.315897104629199,
1891
+ "learning_rate": 1.2826691520262114e-08,
1892
+ "loss": 0.6328,
1893
+ "step": 269
1894
+ },
1895
+ {
1896
+ "epoch": 0.976271186440678,
1897
+ "grad_norm": 1.341142823473401,
1898
+ "learning_rate": 9.822406058697665e-09,
1899
+ "loss": 0.6247,
1900
+ "step": 270
1901
+ },
1902
+ {
1903
+ "epoch": 0.9798870056497175,
1904
+ "grad_norm": 1.3751891651375663,
1905
+ "learning_rate": 7.217716380881479e-09,
1906
+ "loss": 0.6185,
1907
+ "step": 271
1908
+ },
1909
+ {
1910
+ "epoch": 0.9835028248587571,
1911
+ "grad_norm": 1.2993917620171413,
1912
+ "learning_rate": 5.0130404582127144e-09,
1913
+ "loss": 0.6308,
1914
+ "step": 272
1915
+ },
1916
+ {
1917
+ "epoch": 0.9871186440677966,
1918
+ "grad_norm": 1.306024529686539,
1919
+ "learning_rate": 3.208732072368104e-09,
1920
+ "loss": 0.6383,
1921
+ "step": 273
1922
+ },
1923
+ {
1924
+ "epoch": 0.9907344632768361,
1925
+ "grad_norm": 1.3213672912672132,
1926
+ "learning_rate": 1.8050807585293095e-09,
1927
+ "loss": 0.6559,
1928
+ "step": 274
1929
+ },
1930
+ {
1931
+ "epoch": 0.9943502824858758,
1932
+ "grad_norm": 1.3174616601564904,
1933
+ "learning_rate": 8.023117589237017e-10,
1934
+ "loss": 0.6701,
1935
+ "step": 275
1936
+ },
1937
+ {
1938
+ "epoch": 0.9979661016949153,
1939
+ "grad_norm": 1.3624163578590245,
1940
+ "learning_rate": 2.0058598667854755e-10,
1941
+ "loss": 0.6445,
1942
+ "step": 276
1943
+ },
1944
+ {
1945
+ "epoch": 0.9979661016949153,
1946
+ "step": 276,
1947
+ "total_flos": 100810460790784.0,
1948
+ "train_loss": 0.7222011056931122,
1949
+ "train_runtime": 4200.972,
1950
+ "train_samples_per_second": 8.426,
1951
+ "train_steps_per_second": 0.066
1952
+ }
1953
+ ],
1954
+ "logging_steps": 1,
1955
+ "max_steps": 276,
1956
+ "num_input_tokens_seen": 0,
1957
+ "num_train_epochs": 1,
1958
+ "save_steps": 200,
1959
+ "stateful_callbacks": {
1960
+ "TrainerControl": {
1961
+ "args": {
1962
+ "should_epoch_stop": false,
1963
+ "should_evaluate": false,
1964
+ "should_log": false,
1965
+ "should_save": true,
1966
+ "should_training_stop": true
1967
+ },
1968
+ "attributes": {}
1969
+ }
1970
+ },
1971
+ "total_flos": 100810460790784.0,
1972
+ "train_batch_size": 1,
1973
+ "trial_name": null,
1974
+ "trial_params": null
1975
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:da8081d36af7666efbbea8a1a5dfc6f1fe62fea15eb052b8fa0784c445637107
3
+ size 7544
vocab.json ADDED
The diff for this file is too large to render. See raw diff