Safetensors
English
qwen2_vl
biology
medical
chemistry

Upload folder using huggingface_hub

#1
by AdaptLLM - opened
added_tokens.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "<|box_end|>": 151649,
3
+ "<|box_start|>": 151648,
4
+ "<|endoftext|>": 151643,
5
+ "<|im_end|>": 151645,
6
+ "<|im_start|>": 151644,
7
+ "<|image_pad|>": 151655,
8
+ "<|object_ref_end|>": 151647,
9
+ "<|object_ref_start|>": 151646,
10
+ "<|quad_end|>": 151651,
11
+ "<|quad_start|>": 151650,
12
+ "<|video_pad|>": 151656,
13
+ "<|vision_end|>": 151653,
14
+ "<|vision_pad|>": 151654,
15
+ "<|vision_start|>": 151652
16
+ }
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 0.9998731447418495,
3
+ "total_flos": 3.7575827488610714e+18,
4
+ "train_loss": 1.3289946492206504,
5
+ "train_runtime": 13442.1001,
6
+ "train_samples_per_second": 37.53,
7
+ "train_steps_per_second": 0.293
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 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2VLForConditionalGeneration"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": 151643,
7
+ "eos_token_id": 151645,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 1536,
10
+ "image_token_id": 151655,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 8960,
13
+ "max_position_embeddings": 32768,
14
+ "max_window_layers": 28,
15
+ "model_type": "qwen2_vl",
16
+ "num_attention_heads": 12,
17
+ "num_hidden_layers": 28,
18
+ "num_key_value_heads": 2,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_scaling": {
21
+ "mrope_section": [
22
+ 16,
23
+ 24,
24
+ 24
25
+ ],
26
+ "type": "mrope"
27
+ },
28
+ "rope_theta": 1000000.0,
29
+ "sliding_window": 32768,
30
+ "tie_word_embeddings": true,
31
+ "torch_dtype": "bfloat16",
32
+ "transformers_version": "4.45.0.dev0",
33
+ "use_cache": false,
34
+ "use_sliding_window": false,
35
+ "video_token_id": 151656,
36
+ "vision_config": {
37
+ "hidden_size": 1536,
38
+ "in_chans": 3,
39
+ "model_type": "qwen2_vl",
40
+ "spatial_patch_size": 14
41
+ },
42
+ "vision_end_token_id": 151653,
43
+ "vision_start_token_id": 151652,
44
+ "vision_token_id": 151654,
45
+ "vocab_size": 151936
46
+ }
generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "temperature": 0.01,
10
+ "top_k": 1,
11
+ "top_p": 0.001,
12
+ "transformers_version": "4.45.0.dev0"
13
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:94d21b0ee8658a4ebf68b1240713e1a05023d3799d768d45032633d6ef4d9c6d
3
+ size 4884798456
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": "Qwen2VLProcessor",
22
+ "resample": 3,
23
+ "rescale_factor": 0.00392156862745098,
24
+ "size": {
25
+ "max_pixels": 12845056,
26
+ "min_pixels": 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
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,129 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "151643": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "151644": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "151645": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "151646": {
29
+ "content": "<|object_ref_start|>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "151647": {
37
+ "content": "<|object_ref_end|>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "151648": {
45
+ "content": "<|box_start|>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "151649": {
53
+ "content": "<|box_end|>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "151650": {
61
+ "content": "<|quad_start|>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "151651": {
69
+ "content": "<|quad_end|>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "151652": {
77
+ "content": "<|vision_start|>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "151653": {
85
+ "content": "<|vision_end|>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "151654": {
93
+ "content": "<|vision_pad|>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "151655": {
101
+ "content": "<|image_pad|>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "151656": {
109
+ "content": "<|video_pad|>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ }
116
+ },
117
+ "additional_special_tokens": ["<|im_start|>", "<|im_end|>", "<|object_ref_start|>","<|object_ref_end|>","<|box_start|>","<|box_end|>","<|quad_start|>","<|quad_end|>","<|vision_start|>","<|vision_end|>","<|vision_pad|>","<|image_pad|>","<|video_pad|>"],
118
+ "bos_token": null,
119
+ "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 %}",
120
+ "clean_up_tokenization_spaces": false,
121
+ "eos_token": "<|im_end|>",
122
+ "padding_side": "left",
123
+ "errors": "replace",
124
+ "model_max_length": 32768,
125
+ "pad_token": "<|endoftext|>",
126
+ "split_special_tokens": false,
127
+ "tokenizer_class": "Qwen2Tokenizer",
128
+ "unk_token": null
129
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 0.9998731447418495,
3
+ "total_flos": 3.7575827488610714e+18,
4
+ "train_loss": 1.3289946492206504,
5
+ "train_runtime": 13442.1001,
6
+ "train_samples_per_second": 37.53,
7
+ "train_steps_per_second": 0.293
8
+ }
trainer_log.jsonl ADDED
@@ -0,0 +1,395 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"current_steps": 10, "total_steps": 3941, "loss": 1.8196, "learning_rate": 2.5316455696202533e-07, "epoch": 0.002537105163009007, "percentage": 0.25, "elapsed_time": "0:00:32", "remaining_time": "3:34:55"}
2
+ {"current_steps": 20, "total_steps": 3941, "loss": 1.8108, "learning_rate": 5.063291139240507e-07, "epoch": 0.005074210326018014, "percentage": 0.51, "elapsed_time": "0:01:08", "remaining_time": "3:44:07"}
3
+ {"current_steps": 30, "total_steps": 3941, "loss": 1.8147, "learning_rate": 7.59493670886076e-07, "epoch": 0.00761131548902702, "percentage": 0.76, "elapsed_time": "0:01:42", "remaining_time": "3:42:31"}
4
+ {"current_steps": 40, "total_steps": 3941, "loss": 1.7548, "learning_rate": 1.0126582278481013e-06, "epoch": 0.010148420652036028, "percentage": 1.01, "elapsed_time": "0:02:16", "remaining_time": "3:42:17"}
5
+ {"current_steps": 50, "total_steps": 3941, "loss": 1.7204, "learning_rate": 1.2658227848101267e-06, "epoch": 0.012685525815045033, "percentage": 1.27, "elapsed_time": "0:02:48", "remaining_time": "3:38:29"}
6
+ {"current_steps": 60, "total_steps": 3941, "loss": 1.6762, "learning_rate": 1.518987341772152e-06, "epoch": 0.01522263097805404, "percentage": 1.52, "elapsed_time": "0:03:21", "remaining_time": "3:37:36"}
7
+ {"current_steps": 70, "total_steps": 3941, "loss": 1.6487, "learning_rate": 1.7721518987341774e-06, "epoch": 0.01775973614106305, "percentage": 1.78, "elapsed_time": "0:03:57", "remaining_time": "3:39:16"}
8
+ {"current_steps": 80, "total_steps": 3941, "loss": 1.6116, "learning_rate": 2.0253164556962026e-06, "epoch": 0.020296841304072055, "percentage": 2.03, "elapsed_time": "0:04:29", "remaining_time": "3:36:57"}
9
+ {"current_steps": 90, "total_steps": 3941, "loss": 1.5916, "learning_rate": 2.278481012658228e-06, "epoch": 0.022833946467081062, "percentage": 2.28, "elapsed_time": "0:05:02", "remaining_time": "3:35:57"}
10
+ {"current_steps": 100, "total_steps": 3941, "loss": 1.598, "learning_rate": 2.5316455696202535e-06, "epoch": 0.025371051630090066, "percentage": 2.54, "elapsed_time": "0:05:36", "remaining_time": "3:35:26"}
11
+ {"current_steps": 110, "total_steps": 3941, "loss": 1.5626, "learning_rate": 2.7848101265822785e-06, "epoch": 0.027908156793099072, "percentage": 2.79, "elapsed_time": "0:06:09", "remaining_time": "3:34:13"}
12
+ {"current_steps": 120, "total_steps": 3941, "loss": 1.5457, "learning_rate": 3.037974683544304e-06, "epoch": 0.03044526195610808, "percentage": 3.04, "elapsed_time": "0:06:39", "remaining_time": "3:32:00"}
13
+ {"current_steps": 130, "total_steps": 3941, "loss": 1.5391, "learning_rate": 3.2911392405063294e-06, "epoch": 0.03298236711911709, "percentage": 3.3, "elapsed_time": "0:07:12", "remaining_time": "3:31:05"}
14
+ {"current_steps": 140, "total_steps": 3941, "loss": 1.5125, "learning_rate": 3.544303797468355e-06, "epoch": 0.0355194722821261, "percentage": 3.55, "elapsed_time": "0:07:44", "remaining_time": "3:30:08"}
15
+ {"current_steps": 150, "total_steps": 3941, "loss": 1.5243, "learning_rate": 3.7974683544303802e-06, "epoch": 0.038056577445135104, "percentage": 3.81, "elapsed_time": "0:08:16", "remaining_time": "3:29:11"}
16
+ {"current_steps": 160, "total_steps": 3941, "loss": 1.4856, "learning_rate": 4.050632911392405e-06, "epoch": 0.04059368260814411, "percentage": 4.06, "elapsed_time": "0:08:50", "remaining_time": "3:29:02"}
17
+ {"current_steps": 170, "total_steps": 3941, "loss": 1.5129, "learning_rate": 4.303797468354431e-06, "epoch": 0.04313078777115312, "percentage": 4.31, "elapsed_time": "0:09:23", "remaining_time": "3:28:21"}
18
+ {"current_steps": 180, "total_steps": 3941, "loss": 1.4961, "learning_rate": 4.556962025316456e-06, "epoch": 0.045667892934162124, "percentage": 4.57, "elapsed_time": "0:09:56", "remaining_time": "3:27:34"}
19
+ {"current_steps": 190, "total_steps": 3941, "loss": 1.4893, "learning_rate": 4.8101265822784815e-06, "epoch": 0.04820499809717113, "percentage": 4.82, "elapsed_time": "0:10:29", "remaining_time": "3:27:00"}
20
+ {"current_steps": 200, "total_steps": 3941, "loss": 1.5013, "learning_rate": 5.063291139240507e-06, "epoch": 0.05074210326018013, "percentage": 5.07, "elapsed_time": "0:11:02", "remaining_time": "3:26:27"}
21
+ {"current_steps": 210, "total_steps": 3941, "loss": 1.473, "learning_rate": 5.3164556962025316e-06, "epoch": 0.05327920842318914, "percentage": 5.33, "elapsed_time": "0:11:34", "remaining_time": "3:25:44"}
22
+ {"current_steps": 220, "total_steps": 3941, "loss": 1.4791, "learning_rate": 5.569620253164557e-06, "epoch": 0.055816313586198145, "percentage": 5.58, "elapsed_time": "0:12:07", "remaining_time": "3:25:09"}
23
+ {"current_steps": 230, "total_steps": 3941, "loss": 1.4761, "learning_rate": 5.8227848101265824e-06, "epoch": 0.05835341874920715, "percentage": 5.84, "elapsed_time": "0:12:40", "remaining_time": "3:24:37"}
24
+ {"current_steps": 240, "total_steps": 3941, "loss": 1.4626, "learning_rate": 6.075949367088608e-06, "epoch": 0.06089052391221616, "percentage": 6.09, "elapsed_time": "0:13:13", "remaining_time": "3:23:57"}
25
+ {"current_steps": 250, "total_steps": 3941, "loss": 1.4601, "learning_rate": 6.329113924050634e-06, "epoch": 0.06342762907522517, "percentage": 6.34, "elapsed_time": "0:13:45", "remaining_time": "3:23:09"}
26
+ {"current_steps": 260, "total_steps": 3941, "loss": 1.4686, "learning_rate": 6.582278481012659e-06, "epoch": 0.06596473423823418, "percentage": 6.6, "elapsed_time": "0:14:19", "remaining_time": "3:22:45"}
27
+ {"current_steps": 270, "total_steps": 3941, "loss": 1.461, "learning_rate": 6.835443037974684e-06, "epoch": 0.06850183940124319, "percentage": 6.85, "elapsed_time": "0:14:52", "remaining_time": "3:22:16"}
28
+ {"current_steps": 280, "total_steps": 3941, "loss": 1.47, "learning_rate": 7.08860759493671e-06, "epoch": 0.0710389445642522, "percentage": 7.1, "elapsed_time": "0:15:26", "remaining_time": "3:21:51"}
29
+ {"current_steps": 290, "total_steps": 3941, "loss": 1.4526, "learning_rate": 7.341772151898735e-06, "epoch": 0.0735760497272612, "percentage": 7.36, "elapsed_time": "0:15:58", "remaining_time": "3:21:01"}
30
+ {"current_steps": 300, "total_steps": 3941, "loss": 1.4501, "learning_rate": 7.5949367088607605e-06, "epoch": 0.07611315489027021, "percentage": 7.61, "elapsed_time": "0:16:29", "remaining_time": "3:20:05"}
31
+ {"current_steps": 310, "total_steps": 3941, "loss": 1.4483, "learning_rate": 7.848101265822786e-06, "epoch": 0.07865026005327921, "percentage": 7.87, "elapsed_time": "0:17:01", "remaining_time": "3:19:29"}
32
+ {"current_steps": 320, "total_steps": 3941, "loss": 1.4252, "learning_rate": 8.10126582278481e-06, "epoch": 0.08118736521628822, "percentage": 8.12, "elapsed_time": "0:17:34", "remaining_time": "3:18:56"}
33
+ {"current_steps": 330, "total_steps": 3941, "loss": 1.4274, "learning_rate": 8.354430379746837e-06, "epoch": 0.08372447037929723, "percentage": 8.37, "elapsed_time": "0:18:08", "remaining_time": "3:18:27"}
34
+ {"current_steps": 340, "total_steps": 3941, "loss": 1.437, "learning_rate": 8.607594936708861e-06, "epoch": 0.08626157554230623, "percentage": 8.63, "elapsed_time": "0:18:40", "remaining_time": "3:17:44"}
35
+ {"current_steps": 350, "total_steps": 3941, "loss": 1.4388, "learning_rate": 8.860759493670886e-06, "epoch": 0.08879868070531524, "percentage": 8.88, "elapsed_time": "0:19:13", "remaining_time": "3:17:12"}
36
+ {"current_steps": 360, "total_steps": 3941, "loss": 1.4151, "learning_rate": 9.113924050632912e-06, "epoch": 0.09133578586832425, "percentage": 9.13, "elapsed_time": "0:19:47", "remaining_time": "3:16:48"}
37
+ {"current_steps": 370, "total_steps": 3941, "loss": 1.4274, "learning_rate": 9.367088607594937e-06, "epoch": 0.09387289103133326, "percentage": 9.39, "elapsed_time": "0:20:19", "remaining_time": "3:16:13"}
38
+ {"current_steps": 380, "total_steps": 3941, "loss": 1.4309, "learning_rate": 9.620253164556963e-06, "epoch": 0.09640999619434226, "percentage": 9.64, "elapsed_time": "0:20:53", "remaining_time": "3:15:48"}
39
+ {"current_steps": 390, "total_steps": 3941, "loss": 1.4173, "learning_rate": 9.87341772151899e-06, "epoch": 0.09894710135735126, "percentage": 9.9, "elapsed_time": "0:21:29", "remaining_time": "3:15:37"}
40
+ {"current_steps": 400, "total_steps": 3941, "loss": 1.4312, "learning_rate": 9.999950942931784e-06, "epoch": 0.10148420652036026, "percentage": 10.15, "elapsed_time": "0:22:03", "remaining_time": "3:15:20"}
41
+ {"current_steps": 410, "total_steps": 3941, "loss": 1.422, "learning_rate": 9.999558492161865e-06, "epoch": 0.10402131168336927, "percentage": 10.4, "elapsed_time": "0:22:38", "remaining_time": "3:14:56"}
42
+ {"current_steps": 420, "total_steps": 3941, "loss": 1.3892, "learning_rate": 9.998773621425852e-06, "epoch": 0.10655841684637828, "percentage": 10.66, "elapsed_time": "0:23:12", "remaining_time": "3:14:35"}
43
+ {"current_steps": 430, "total_steps": 3941, "loss": 1.4368, "learning_rate": 9.997596392328971e-06, "epoch": 0.10909552200938728, "percentage": 10.91, "elapsed_time": "0:23:47", "remaining_time": "3:14:14"}
44
+ {"current_steps": 440, "total_steps": 3941, "loss": 1.4129, "learning_rate": 9.996026897273024e-06, "epoch": 0.11163262717239629, "percentage": 11.16, "elapsed_time": "0:24:23", "remaining_time": "3:14:08"}
45
+ {"current_steps": 450, "total_steps": 3941, "loss": 1.4181, "learning_rate": 9.994065259449128e-06, "epoch": 0.1141697323354053, "percentage": 11.42, "elapsed_time": "0:24:58", "remaining_time": "3:13:42"}
46
+ {"current_steps": 460, "total_steps": 3941, "loss": 1.4107, "learning_rate": 9.991711632828049e-06, "epoch": 0.1167068374984143, "percentage": 11.67, "elapsed_time": "0:25:31", "remaining_time": "3:13:11"}
47
+ {"current_steps": 470, "total_steps": 3941, "loss": 1.3933, "learning_rate": 9.988966202148115e-06, "epoch": 0.11924394266142331, "percentage": 11.93, "elapsed_time": "0:26:05", "remaining_time": "3:12:38"}
48
+ {"current_steps": 480, "total_steps": 3941, "loss": 1.4305, "learning_rate": 9.985829182900717e-06, "epoch": 0.12178104782443232, "percentage": 12.18, "elapsed_time": "0:26:36", "remaining_time": "3:11:51"}
49
+ {"current_steps": 490, "total_steps": 3941, "loss": 1.407, "learning_rate": 9.982300821313394e-06, "epoch": 0.12431815298744132, "percentage": 12.43, "elapsed_time": "0:27:08", "remaining_time": "3:11:06"}
50
+ {"current_steps": 500, "total_steps": 3941, "loss": 1.3941, "learning_rate": 9.978381394330509e-06, "epoch": 0.12685525815045035, "percentage": 12.69, "elapsed_time": "0:27:40", "remaining_time": "3:10:30"}
51
+ {"current_steps": 510, "total_steps": 3941, "loss": 1.4083, "learning_rate": 9.974071209591507e-06, "epoch": 0.12939236331345935, "percentage": 12.94, "elapsed_time": "0:29:19", "remaining_time": "3:17:14"}
52
+ {"current_steps": 520, "total_steps": 3941, "loss": 1.3913, "learning_rate": 9.96937060540677e-06, "epoch": 0.13192946847646836, "percentage": 13.19, "elapsed_time": "0:29:53", "remaining_time": "3:16:41"}
53
+ {"current_steps": 530, "total_steps": 3941, "loss": 1.4141, "learning_rate": 9.964279950731066e-06, "epoch": 0.13446657363947737, "percentage": 13.45, "elapsed_time": "0:30:26", "remaining_time": "3:15:52"}
54
+ {"current_steps": 540, "total_steps": 3941, "loss": 1.3923, "learning_rate": 9.958799645134585e-06, "epoch": 0.13700367880248637, "percentage": 13.7, "elapsed_time": "0:30:58", "remaining_time": "3:15:06"}
55
+ {"current_steps": 550, "total_steps": 3941, "loss": 1.3882, "learning_rate": 9.952930118771576e-06, "epoch": 0.13954078396549538, "percentage": 13.96, "elapsed_time": "0:31:30", "remaining_time": "3:14:16"}
56
+ {"current_steps": 560, "total_steps": 3941, "loss": 1.3806, "learning_rate": 9.946671832346588e-06, "epoch": 0.1420778891285044, "percentage": 14.21, "elapsed_time": "0:32:02", "remaining_time": "3:13:28"}
57
+ {"current_steps": 570, "total_steps": 3941, "loss": 1.3877, "learning_rate": 9.940025277078304e-06, "epoch": 0.1446149942915134, "percentage": 14.46, "elapsed_time": "0:32:36", "remaining_time": "3:12:48"}
58
+ {"current_steps": 580, "total_steps": 3941, "loss": 1.3758, "learning_rate": 9.932990974660992e-06, "epoch": 0.1471520994545224, "percentage": 14.72, "elapsed_time": "0:33:08", "remaining_time": "3:12:04"}
59
+ {"current_steps": 590, "total_steps": 3941, "loss": 1.3942, "learning_rate": 9.925569477223549e-06, "epoch": 0.1496892046175314, "percentage": 14.97, "elapsed_time": "0:33:41", "remaining_time": "3:11:19"}
60
+ {"current_steps": 600, "total_steps": 3941, "loss": 1.3997, "learning_rate": 9.917761367286164e-06, "epoch": 0.15222630978054041, "percentage": 15.22, "elapsed_time": "0:34:13", "remaining_time": "3:10:33"}
61
+ {"current_steps": 610, "total_steps": 3941, "loss": 1.3902, "learning_rate": 9.909567257714605e-06, "epoch": 0.15476341494354942, "percentage": 15.48, "elapsed_time": "0:34:45", "remaining_time": "3:09:49"}
62
+ {"current_steps": 620, "total_steps": 3941, "loss": 1.3906, "learning_rate": 9.9009877916721e-06, "epoch": 0.15730052010655843, "percentage": 15.73, "elapsed_time": "0:35:18", "remaining_time": "3:09:07"}
63
+ {"current_steps": 630, "total_steps": 3941, "loss": 1.3644, "learning_rate": 9.892023642568871e-06, "epoch": 0.15983762526956743, "percentage": 15.99, "elapsed_time": "0:35:53", "remaining_time": "3:08:37"}
64
+ {"current_steps": 640, "total_steps": 3941, "loss": 1.3673, "learning_rate": 9.882675514009262e-06, "epoch": 0.16237473043257644, "percentage": 16.24, "elapsed_time": "0:36:27", "remaining_time": "3:08:00"}
65
+ {"current_steps": 650, "total_steps": 3941, "loss": 1.3751, "learning_rate": 9.872944139736523e-06, "epoch": 0.16491183559558545, "percentage": 16.49, "elapsed_time": "0:36:57", "remaining_time": "3:07:09"}
66
+ {"current_steps": 660, "total_steps": 3941, "loss": 1.3678, "learning_rate": 9.862830283575215e-06, "epoch": 0.16744894075859446, "percentage": 16.75, "elapsed_time": "0:37:29", "remaining_time": "3:06:23"}
67
+ {"current_steps": 670, "total_steps": 3941, "loss": 1.3825, "learning_rate": 9.852334739371252e-06, "epoch": 0.16998604592160346, "percentage": 17.0, "elapsed_time": "0:38:00", "remaining_time": "3:05:34"}
68
+ {"current_steps": 680, "total_steps": 3941, "loss": 1.3884, "learning_rate": 9.841458330929598e-06, "epoch": 0.17252315108461247, "percentage": 17.25, "elapsed_time": "0:38:33", "remaining_time": "3:04:52"}
69
+ {"current_steps": 690, "total_steps": 3941, "loss": 1.3934, "learning_rate": 9.830201911949604e-06, "epoch": 0.17506025624762148, "percentage": 17.51, "elapsed_time": "0:39:05", "remaining_time": "3:04:11"}
70
+ {"current_steps": 700, "total_steps": 3941, "loss": 1.3645, "learning_rate": 9.818566365957996e-06, "epoch": 0.17759736141063048, "percentage": 17.76, "elapsed_time": "0:39:37", "remaining_time": "3:03:29"}
71
+ {"current_steps": 710, "total_steps": 3941, "loss": 1.3708, "learning_rate": 9.80655260623953e-06, "epoch": 0.1801344665736395, "percentage": 18.02, "elapsed_time": "0:40:11", "remaining_time": "3:02:55"}
72
+ {"current_steps": 720, "total_steps": 3941, "loss": 1.3749, "learning_rate": 9.794161575765311e-06, "epoch": 0.1826715717366485, "percentage": 18.27, "elapsed_time": "0:40:45", "remaining_time": "3:02:18"}
73
+ {"current_steps": 730, "total_steps": 3941, "loss": 1.3886, "learning_rate": 9.78139424711877e-06, "epoch": 0.1852086768996575, "percentage": 18.52, "elapsed_time": "0:41:18", "remaining_time": "3:01:41"}
74
+ {"current_steps": 740, "total_steps": 3941, "loss": 1.373, "learning_rate": 9.76825162241933e-06, "epoch": 0.1877457820626665, "percentage": 18.78, "elapsed_time": "0:41:52", "remaining_time": "3:01:08"}
75
+ {"current_steps": 750, "total_steps": 3941, "loss": 1.3742, "learning_rate": 9.754734733243749e-06, "epoch": 0.19028288722567552, "percentage": 19.03, "elapsed_time": "0:42:26", "remaining_time": "3:00:34"}
76
+ {"current_steps": 760, "total_steps": 3941, "loss": 1.3603, "learning_rate": 9.740844640545151e-06, "epoch": 0.19281999238868452, "percentage": 19.28, "elapsed_time": "0:43:00", "remaining_time": "2:59:59"}
77
+ {"current_steps": 770, "total_steps": 3941, "loss": 1.3636, "learning_rate": 9.726582434569744e-06, "epoch": 0.19535709755169353, "percentage": 19.54, "elapsed_time": "0:43:33", "remaining_time": "2:59:22"}
78
+ {"current_steps": 780, "total_steps": 3941, "loss": 1.3536, "learning_rate": 9.711949234771258e-06, "epoch": 0.1978942027147025, "percentage": 19.79, "elapsed_time": "0:44:05", "remaining_time": "2:58:40"}
79
+ {"current_steps": 790, "total_steps": 3941, "loss": 1.3777, "learning_rate": 9.696946189723067e-06, "epoch": 0.20043130787771152, "percentage": 20.05, "elapsed_time": "0:44:37", "remaining_time": "2:58:00"}
80
+ {"current_steps": 800, "total_steps": 3941, "loss": 1.3555, "learning_rate": 9.681574477028039e-06, "epoch": 0.20296841304072052, "percentage": 20.3, "elapsed_time": "0:45:09", "remaining_time": "2:57:17"}
81
+ {"current_steps": 810, "total_steps": 3941, "loss": 1.3736, "learning_rate": 9.66583530322611e-06, "epoch": 0.20550551820372953, "percentage": 20.55, "elapsed_time": "0:45:41", "remaining_time": "2:56:38"}
82
+ {"current_steps": 820, "total_steps": 3941, "loss": 1.3685, "learning_rate": 9.649729903699575e-06, "epoch": 0.20804262336673854, "percentage": 20.81, "elapsed_time": "0:46:15", "remaining_time": "2:56:04"}
83
+ {"current_steps": 830, "total_steps": 3941, "loss": 1.3516, "learning_rate": 9.633259542576127e-06, "epoch": 0.21057972852974755, "percentage": 21.06, "elapsed_time": "0:46:47", "remaining_time": "2:55:22"}
84
+ {"current_steps": 840, "total_steps": 3941, "loss": 1.3433, "learning_rate": 9.61642551262963e-06, "epoch": 0.21311683369275655, "percentage": 21.31, "elapsed_time": "0:47:19", "remaining_time": "2:54:42"}
85
+ {"current_steps": 850, "total_steps": 3941, "loss": 1.3596, "learning_rate": 9.599229135178651e-06, "epoch": 0.21565393885576556, "percentage": 21.57, "elapsed_time": "0:47:52", "remaining_time": "2:54:05"}
86
+ {"current_steps": 860, "total_steps": 3941, "loss": 1.3821, "learning_rate": 9.581671759982747e-06, "epoch": 0.21819104401877457, "percentage": 21.82, "elapsed_time": "0:48:25", "remaining_time": "2:53:27"}
87
+ {"current_steps": 870, "total_steps": 3941, "loss": 1.3568, "learning_rate": 9.563754765136522e-06, "epoch": 0.22072814918178357, "percentage": 22.08, "elapsed_time": "0:48:57", "remaining_time": "2:52:49"}
88
+ {"current_steps": 880, "total_steps": 3941, "loss": 1.3614, "learning_rate": 9.545479556961457e-06, "epoch": 0.22326525434479258, "percentage": 22.33, "elapsed_time": "0:49:29", "remaining_time": "2:52:10"}
89
+ {"current_steps": 890, "total_steps": 3941, "loss": 1.3536, "learning_rate": 9.526847569895529e-06, "epoch": 0.2258023595078016, "percentage": 22.58, "elapsed_time": "0:50:02", "remaining_time": "2:51:31"}
90
+ {"current_steps": 900, "total_steps": 3941, "loss": 1.3521, "learning_rate": 9.507860266380625e-06, "epoch": 0.2283394646708106, "percentage": 22.84, "elapsed_time": "0:50:35", "remaining_time": "2:50:55"}
91
+ {"current_steps": 910, "total_steps": 3941, "loss": 1.3455, "learning_rate": 9.488519136747741e-06, "epoch": 0.2308765698338196, "percentage": 23.09, "elapsed_time": "0:51:07", "remaining_time": "2:50:16"}
92
+ {"current_steps": 920, "total_steps": 3941, "loss": 1.3388, "learning_rate": 9.468825699100013e-06, "epoch": 0.2334136749968286, "percentage": 23.34, "elapsed_time": "0:51:39", "remaining_time": "2:49:39"}
93
+ {"current_steps": 930, "total_steps": 3941, "loss": 1.36, "learning_rate": 9.448781499193563e-06, "epoch": 0.23595078015983761, "percentage": 23.6, "elapsed_time": "0:52:13", "remaining_time": "2:49:05"}
94
+ {"current_steps": 940, "total_steps": 3941, "loss": 1.346, "learning_rate": 9.428388110316165e-06, "epoch": 0.23848788532284662, "percentage": 23.85, "elapsed_time": "0:52:45", "remaining_time": "2:48:25"}
95
+ {"current_steps": 950, "total_steps": 3941, "loss": 1.3565, "learning_rate": 9.407647133163754e-06, "epoch": 0.24102499048585563, "percentage": 24.11, "elapsed_time": "0:53:18", "remaining_time": "2:47:49"}
96
+ {"current_steps": 960, "total_steps": 3941, "loss": 1.3539, "learning_rate": 9.386560195714796e-06, "epoch": 0.24356209564886463, "percentage": 24.36, "elapsed_time": "0:53:50", "remaining_time": "2:47:12"}
97
+ {"current_steps": 970, "total_steps": 3941, "loss": 1.3443, "learning_rate": 9.365128953102495e-06, "epoch": 0.24609920081187364, "percentage": 24.61, "elapsed_time": "0:54:23", "remaining_time": "2:46:35"}
98
+ {"current_steps": 980, "total_steps": 3941, "loss": 1.3449, "learning_rate": 9.343355087484893e-06, "epoch": 0.24863630597488265, "percentage": 24.87, "elapsed_time": "0:54:56", "remaining_time": "2:45:59"}
99
+ {"current_steps": 990, "total_steps": 3941, "loss": 1.3503, "learning_rate": 9.321240307912818e-06, "epoch": 0.25117341113789166, "percentage": 25.12, "elapsed_time": "0:55:30", "remaining_time": "2:45:26"}
100
+ {"current_steps": 1000, "total_steps": 3941, "loss": 1.3504, "learning_rate": 9.298786350195758e-06, "epoch": 0.2537105163009007, "percentage": 25.37, "elapsed_time": "0:56:02", "remaining_time": "2:44:49"}
101
+ {"current_steps": 1010, "total_steps": 3941, "loss": 1.3512, "learning_rate": 9.275994976765602e-06, "epoch": 0.25624762146390967, "percentage": 25.63, "elapsed_time": "0:57:46", "remaining_time": "2:47:39"}
102
+ {"current_steps": 1020, "total_steps": 3941, "loss": 1.3447, "learning_rate": 9.252867976538312e-06, "epoch": 0.2587847266269187, "percentage": 25.88, "elapsed_time": "0:58:17", "remaining_time": "2:46:55"}
103
+ {"current_steps": 1030, "total_steps": 3941, "loss": 1.3451, "learning_rate": 9.22940716477351e-06, "epoch": 0.2613218317899277, "percentage": 26.14, "elapsed_time": "0:58:50", "remaining_time": "2:46:16"}
104
+ {"current_steps": 1040, "total_steps": 3941, "loss": 1.3678, "learning_rate": 9.205614382931986e-06, "epoch": 0.2638589369529367, "percentage": 26.39, "elapsed_time": "0:59:20", "remaining_time": "2:45:32"}
105
+ {"current_steps": 1050, "total_steps": 3941, "loss": 1.355, "learning_rate": 9.181491498531179e-06, "epoch": 0.2663960421159457, "percentage": 26.64, "elapsed_time": "0:59:53", "remaining_time": "2:44:54"}
106
+ {"current_steps": 1060, "total_steps": 3941, "loss": 1.3455, "learning_rate": 9.157040404998572e-06, "epoch": 0.26893314727895473, "percentage": 26.9, "elapsed_time": "1:00:26", "remaining_time": "2:44:16"}
107
+ {"current_steps": 1070, "total_steps": 3941, "loss": 1.353, "learning_rate": 9.132263021523096e-06, "epoch": 0.2714702524419637, "percentage": 27.15, "elapsed_time": "1:00:58", "remaining_time": "2:43:36"}
108
+ {"current_steps": 1080, "total_steps": 3941, "loss": 1.3428, "learning_rate": 9.107161292904476e-06, "epoch": 0.27400735760497275, "percentage": 27.4, "elapsed_time": "1:01:30", "remaining_time": "2:42:56"}
109
+ {"current_steps": 1090, "total_steps": 3941, "loss": 1.3421, "learning_rate": 9.081737189400583e-06, "epoch": 0.2765444627679817, "percentage": 27.66, "elapsed_time": "1:02:02", "remaining_time": "2:42:15"}
110
+ {"current_steps": 1100, "total_steps": 3941, "loss": 1.3377, "learning_rate": 9.0559927065728e-06, "epoch": 0.27908156793099076, "percentage": 27.91, "elapsed_time": "1:02:35", "remaining_time": "2:41:39"}
111
+ {"current_steps": 1110, "total_steps": 3941, "loss": 1.349, "learning_rate": 9.029929865129375e-06, "epoch": 0.28161867309399974, "percentage": 28.17, "elapsed_time": "1:03:06", "remaining_time": "2:40:57"}
112
+ {"current_steps": 1120, "total_steps": 3941, "loss": 1.3552, "learning_rate": 9.003550710766813e-06, "epoch": 0.2841557782570088, "percentage": 28.42, "elapsed_time": "1:03:39", "remaining_time": "2:40:20"}
113
+ {"current_steps": 1130, "total_steps": 3941, "loss": 1.3209, "learning_rate": 8.97685731400932e-06, "epoch": 0.28669288342001775, "percentage": 28.67, "elapsed_time": "1:04:13", "remaining_time": "2:39:46"}
114
+ {"current_steps": 1140, "total_steps": 3941, "loss": 1.3267, "learning_rate": 8.949851770046272e-06, "epoch": 0.2892299885830268, "percentage": 28.93, "elapsed_time": "1:04:47", "remaining_time": "2:39:11"}
115
+ {"current_steps": 1150, "total_steps": 3941, "loss": 1.3379, "learning_rate": 8.922536198567772e-06, "epoch": 0.29176709374603577, "percentage": 29.18, "elapsed_time": "1:05:21", "remaining_time": "2:38:36"}
116
+ {"current_steps": 1160, "total_steps": 3941, "loss": 1.3272, "learning_rate": 8.894912743598269e-06, "epoch": 0.2943041989090448, "percentage": 29.43, "elapsed_time": "1:05:54", "remaining_time": "2:37:59"}
117
+ {"current_steps": 1170, "total_steps": 3941, "loss": 1.333, "learning_rate": 8.866983573328267e-06, "epoch": 0.2968413040720538, "percentage": 29.69, "elapsed_time": "1:06:26", "remaining_time": "2:37:21"}
118
+ {"current_steps": 1180, "total_steps": 3941, "loss": 1.3497, "learning_rate": 8.83875087994415e-06, "epoch": 0.2993784092350628, "percentage": 29.94, "elapsed_time": "1:06:58", "remaining_time": "2:36:42"}
119
+ {"current_steps": 1190, "total_steps": 3941, "loss": 1.3355, "learning_rate": 8.810216879456114e-06, "epoch": 0.3019155143980718, "percentage": 30.2, "elapsed_time": "1:07:31", "remaining_time": "2:36:05"}
120
+ {"current_steps": 1200, "total_steps": 3941, "loss": 1.3339, "learning_rate": 8.781383811524222e-06, "epoch": 0.30445261956108083, "percentage": 30.45, "elapsed_time": "1:08:04", "remaining_time": "2:35:29"}
121
+ {"current_steps": 1210, "total_steps": 3941, "loss": 1.332, "learning_rate": 8.752253939282622e-06, "epoch": 0.3069897247240898, "percentage": 30.7, "elapsed_time": "1:08:35", "remaining_time": "2:34:49"}
122
+ {"current_steps": 1220, "total_steps": 3941, "loss": 1.3411, "learning_rate": 8.722829549161904e-06, "epoch": 0.30952682988709884, "percentage": 30.96, "elapsed_time": "1:09:08", "remaining_time": "2:34:12"}
123
+ {"current_steps": 1230, "total_steps": 3941, "loss": 1.321, "learning_rate": 8.69311295070964e-06, "epoch": 0.3120639350501078, "percentage": 31.21, "elapsed_time": "1:09:41", "remaining_time": "2:33:35"}
124
+ {"current_steps": 1240, "total_steps": 3941, "loss": 1.3511, "learning_rate": 8.663106476409107e-06, "epoch": 0.31460104021311686, "percentage": 31.46, "elapsed_time": "1:10:13", "remaining_time": "2:32:58"}
125
+ {"current_steps": 1250, "total_steps": 3941, "loss": 1.3491, "learning_rate": 8.632812481496195e-06, "epoch": 0.31713814537612584, "percentage": 31.72, "elapsed_time": "1:10:44", "remaining_time": "2:32:18"}
126
+ {"current_steps": 1260, "total_steps": 3941, "loss": 1.3294, "learning_rate": 8.602233343774562e-06, "epoch": 0.31967525053913487, "percentage": 31.97, "elapsed_time": "1:11:17", "remaining_time": "2:31:41"}
127
+ {"current_steps": 1270, "total_steps": 3941, "loss": 1.3419, "learning_rate": 8.571371463428986e-06, "epoch": 0.32221235570214385, "percentage": 32.23, "elapsed_time": "1:11:49", "remaining_time": "2:31:03"}
128
+ {"current_steps": 1280, "total_steps": 3941, "loss": 1.3245, "learning_rate": 8.540229262836974e-06, "epoch": 0.3247494608651529, "percentage": 32.48, "elapsed_time": "1:12:21", "remaining_time": "2:30:26"}
129
+ {"current_steps": 1290, "total_steps": 3941, "loss": 1.3357, "learning_rate": 8.508809186378631e-06, "epoch": 0.32728656602816186, "percentage": 32.73, "elapsed_time": "1:12:53", "remaining_time": "2:29:47"}
130
+ {"current_steps": 1300, "total_steps": 3941, "loss": 1.3297, "learning_rate": 8.477113700244788e-06, "epoch": 0.3298236711911709, "percentage": 32.99, "elapsed_time": "1:13:26", "remaining_time": "2:29:11"}
131
+ {"current_steps": 1310, "total_steps": 3941, "loss": 1.3361, "learning_rate": 8.445145292243446e-06, "epoch": 0.3323607763541799, "percentage": 33.24, "elapsed_time": "1:13:58", "remaining_time": "2:28:35"}
132
+ {"current_steps": 1320, "total_steps": 3941, "loss": 1.3365, "learning_rate": 8.412906471604489e-06, "epoch": 0.3348978815171889, "percentage": 33.49, "elapsed_time": "1:14:30", "remaining_time": "2:27:56"}
133
+ {"current_steps": 1330, "total_steps": 3941, "loss": 1.3364, "learning_rate": 8.380399768782742e-06, "epoch": 0.3374349866801979, "percentage": 33.75, "elapsed_time": "1:15:03", "remaining_time": "2:27:20"}
134
+ {"current_steps": 1340, "total_steps": 3941, "loss": 1.3572, "learning_rate": 8.347627735259344e-06, "epoch": 0.3399720918432069, "percentage": 34.0, "elapsed_time": "1:15:36", "remaining_time": "2:26:44"}
135
+ {"current_steps": 1350, "total_steps": 3941, "loss": 1.311, "learning_rate": 8.314592943341494e-06, "epoch": 0.3425091970062159, "percentage": 34.26, "elapsed_time": "1:16:08", "remaining_time": "2:26:07"}
136
+ {"current_steps": 1360, "total_steps": 3941, "loss": 1.3261, "learning_rate": 8.281297985960538e-06, "epoch": 0.34504630216922494, "percentage": 34.51, "elapsed_time": "1:16:39", "remaining_time": "2:25:29"}
137
+ {"current_steps": 1370, "total_steps": 3941, "loss": 1.3433, "learning_rate": 8.247745476468449e-06, "epoch": 0.3475834073322339, "percentage": 34.76, "elapsed_time": "1:17:12", "remaining_time": "2:24:52"}
138
+ {"current_steps": 1380, "total_steps": 3941, "loss": 1.3134, "learning_rate": 8.213938048432697e-06, "epoch": 0.35012051249524295, "percentage": 35.02, "elapsed_time": "1:17:44", "remaining_time": "2:24:16"}
139
+ {"current_steps": 1390, "total_steps": 3941, "loss": 1.3159, "learning_rate": 8.179878355429556e-06, "epoch": 0.35265761765825193, "percentage": 35.27, "elapsed_time": "1:18:18", "remaining_time": "2:23:42"}
140
+ {"current_steps": 1400, "total_steps": 3941, "loss": 1.3285, "learning_rate": 8.145569070835799e-06, "epoch": 0.35519472282126097, "percentage": 35.52, "elapsed_time": "1:18:51", "remaining_time": "2:23:07"}
141
+ {"current_steps": 1410, "total_steps": 3941, "loss": 1.344, "learning_rate": 8.111012887618882e-06, "epoch": 0.35773182798426995, "percentage": 35.78, "elapsed_time": "1:19:23", "remaining_time": "2:22:31"}
142
+ {"current_steps": 1420, "total_steps": 3941, "loss": 1.3217, "learning_rate": 8.076212518125556e-06, "epoch": 0.360268933147279, "percentage": 36.03, "elapsed_time": "1:19:56", "remaining_time": "2:21:56"}
143
+ {"current_steps": 1430, "total_steps": 3941, "loss": 1.3284, "learning_rate": 8.041170693868985e-06, "epoch": 0.36280603831028796, "percentage": 36.29, "elapsed_time": "1:20:30", "remaining_time": "2:21:21"}
144
+ {"current_steps": 1440, "total_steps": 3941, "loss": 1.3188, "learning_rate": 8.005890165314334e-06, "epoch": 0.365343143473297, "percentage": 36.54, "elapsed_time": "1:21:01", "remaining_time": "2:20:44"}
145
+ {"current_steps": 1450, "total_steps": 3941, "loss": 1.3123, "learning_rate": 7.970373701662892e-06, "epoch": 0.367880248636306, "percentage": 36.79, "elapsed_time": "1:21:35", "remaining_time": "2:20:09"}
146
+ {"current_steps": 1460, "total_steps": 3941, "loss": 1.3131, "learning_rate": 7.934624090634713e-06, "epoch": 0.370417353799315, "percentage": 37.05, "elapsed_time": "1:22:08", "remaining_time": "2:19:34"}
147
+ {"current_steps": 1470, "total_steps": 3941, "loss": 1.3318, "learning_rate": 7.8986441382498e-06, "epoch": 0.372954458962324, "percentage": 37.3, "elapsed_time": "1:22:40", "remaining_time": "2:18:57"}
148
+ {"current_steps": 1480, "total_steps": 3941, "loss": 1.3164, "learning_rate": 7.862436668607865e-06, "epoch": 0.375491564125333, "percentage": 37.55, "elapsed_time": "1:23:12", "remaining_time": "2:18:22"}
149
+ {"current_steps": 1490, "total_steps": 3941, "loss": 1.3292, "learning_rate": 7.826004523666661e-06, "epoch": 0.378028669288342, "percentage": 37.81, "elapsed_time": "1:23:43", "remaining_time": "2:17:43"}
150
+ {"current_steps": 1500, "total_steps": 3941, "loss": 1.3272, "learning_rate": 7.78935056301891e-06, "epoch": 0.38056577445135104, "percentage": 38.06, "elapsed_time": "1:24:16", "remaining_time": "2:17:08"}
151
+ {"current_steps": 1510, "total_steps": 3941, "loss": 1.3391, "learning_rate": 7.752477663667854e-06, "epoch": 0.38310287961436, "percentage": 38.32, "elapsed_time": "1:25:53", "remaining_time": "2:18:16"}
152
+ {"current_steps": 1520, "total_steps": 3941, "loss": 1.3392, "learning_rate": 7.715388719801437e-06, "epoch": 0.38563998477736905, "percentage": 38.57, "elapsed_time": "1:26:24", "remaining_time": "2:17:37"}
153
+ {"current_steps": 1530, "total_steps": 3941, "loss": 1.2971, "learning_rate": 7.67808664256514e-06, "epoch": 0.38817708994037803, "percentage": 38.82, "elapsed_time": "1:26:56", "remaining_time": "2:16:59"}
154
+ {"current_steps": 1540, "total_steps": 3941, "loss": 1.3148, "learning_rate": 7.640574359833472e-06, "epoch": 0.39071419510338706, "percentage": 39.08, "elapsed_time": "1:27:29", "remaining_time": "2:16:25"}
155
+ {"current_steps": 1550, "total_steps": 3941, "loss": 1.3315, "learning_rate": 7.6028548159801685e-06, "epoch": 0.39325130026639604, "percentage": 39.33, "elapsed_time": "1:28:03", "remaining_time": "2:15:49"}
156
+ {"current_steps": 1560, "total_steps": 3941, "loss": 1.3238, "learning_rate": 7.564930971647087e-06, "epoch": 0.395788405429405, "percentage": 39.58, "elapsed_time": "1:28:34", "remaining_time": "2:15:11"}
157
+ {"current_steps": 1570, "total_steps": 3941, "loss": 1.3175, "learning_rate": 7.52680580351181e-06, "epoch": 0.39832551059241406, "percentage": 39.84, "elapsed_time": "1:29:06", "remaining_time": "2:14:34"}
158
+ {"current_steps": 1580, "total_steps": 3941, "loss": 1.3104, "learning_rate": 7.488482304054019e-06, "epoch": 0.40086261575542304, "percentage": 40.09, "elapsed_time": "1:29:39", "remaining_time": "2:13:58"}
159
+ {"current_steps": 1590, "total_steps": 3941, "loss": 1.316, "learning_rate": 7.449963481320599e-06, "epoch": 0.40339972091843207, "percentage": 40.35, "elapsed_time": "1:30:11", "remaining_time": "2:13:21"}
160
+ {"current_steps": 1600, "total_steps": 3941, "loss": 1.3273, "learning_rate": 7.411252358689541e-06, "epoch": 0.40593682608144105, "percentage": 40.6, "elapsed_time": "1:30:44", "remaining_time": "2:12:45"}
161
+ {"current_steps": 1610, "total_steps": 3941, "loss": 1.3119, "learning_rate": 7.372351974632634e-06, "epoch": 0.4084739312444501, "percentage": 40.85, "elapsed_time": "1:31:16", "remaining_time": "2:12:09"}
162
+ {"current_steps": 1620, "total_steps": 3941, "loss": 1.3151, "learning_rate": 7.333265382476971e-06, "epoch": 0.41101103640745906, "percentage": 41.11, "elapsed_time": "1:31:52", "remaining_time": "2:11:37"}
163
+ {"current_steps": 1630, "total_steps": 3941, "loss": 1.3245, "learning_rate": 7.293995650165287e-06, "epoch": 0.4135481415704681, "percentage": 41.36, "elapsed_time": "1:32:24", "remaining_time": "2:11:00"}
164
+ {"current_steps": 1640, "total_steps": 3941, "loss": 1.3317, "learning_rate": 7.2545458600151615e-06, "epoch": 0.4160852467334771, "percentage": 41.61, "elapsed_time": "1:32:57", "remaining_time": "2:10:25"}
165
+ {"current_steps": 1650, "total_steps": 3941, "loss": 1.3044, "learning_rate": 7.214919108477077e-06, "epoch": 0.4186223518964861, "percentage": 41.87, "elapsed_time": "1:33:28", "remaining_time": "2:09:47"}
166
+ {"current_steps": 1660, "total_steps": 3941, "loss": 1.3339, "learning_rate": 7.175118505891385e-06, "epoch": 0.4211594570594951, "percentage": 42.12, "elapsed_time": "1:34:00", "remaining_time": "2:09:10"}
167
+ {"current_steps": 1670, "total_steps": 3941, "loss": 1.3044, "learning_rate": 7.135147176244158e-06, "epoch": 0.4236965622225041, "percentage": 42.38, "elapsed_time": "1:34:32", "remaining_time": "2:08:34"}
168
+ {"current_steps": 1680, "total_steps": 3941, "loss": 1.3048, "learning_rate": 7.0950082569219955e-06, "epoch": 0.4262336673855131, "percentage": 42.63, "elapsed_time": "1:35:03", "remaining_time": "2:07:55"}
169
+ {"current_steps": 1690, "total_steps": 3941, "loss": 1.3069, "learning_rate": 7.054704898465772e-06, "epoch": 0.42877077254852214, "percentage": 42.88, "elapsed_time": "1:35:34", "remaining_time": "2:07:18"}
170
+ {"current_steps": 1700, "total_steps": 3941, "loss": 1.3136, "learning_rate": 7.0142402643233346e-06, "epoch": 0.4313078777115311, "percentage": 43.14, "elapsed_time": "1:36:08", "remaining_time": "2:06:44"}
171
+ {"current_steps": 1710, "total_steps": 3941, "loss": 1.3165, "learning_rate": 6.973617530601209e-06, "epoch": 0.43384498287454015, "percentage": 43.39, "elapsed_time": "1:36:43", "remaining_time": "2:06:11"}
172
+ {"current_steps": 1720, "total_steps": 3941, "loss": 1.3301, "learning_rate": 6.932839885815304e-06, "epoch": 0.43638208803754913, "percentage": 43.64, "elapsed_time": "1:37:15", "remaining_time": "2:05:35"}
173
+ {"current_steps": 1730, "total_steps": 3941, "loss": 1.3145, "learning_rate": 6.891910530640642e-06, "epoch": 0.43891919320055817, "percentage": 43.9, "elapsed_time": "1:37:48", "remaining_time": "2:05:00"}
174
+ {"current_steps": 1740, "total_steps": 3941, "loss": 1.3139, "learning_rate": 6.850832677660134e-06, "epoch": 0.44145629836356715, "percentage": 44.15, "elapsed_time": "1:38:21", "remaining_time": "2:04:24"}
175
+ {"current_steps": 1750, "total_steps": 3941, "loss": 1.3085, "learning_rate": 6.809609551112419e-06, "epoch": 0.4439934035265762, "percentage": 44.4, "elapsed_time": "1:38:54", "remaining_time": "2:03:49"}
176
+ {"current_steps": 1760, "total_steps": 3941, "loss": 1.3158, "learning_rate": 6.768244386638793e-06, "epoch": 0.44653050868958516, "percentage": 44.66, "elapsed_time": "1:39:24", "remaining_time": "2:03:11"}
177
+ {"current_steps": 1770, "total_steps": 3941, "loss": 1.3167, "learning_rate": 6.726740431029243e-06, "epoch": 0.4490676138525942, "percentage": 44.91, "elapsed_time": "1:39:57", "remaining_time": "2:02:35"}
178
+ {"current_steps": 1780, "total_steps": 3941, "loss": 1.3118, "learning_rate": 6.685100941967596e-06, "epoch": 0.4516047190156032, "percentage": 45.17, "elapsed_time": "1:40:29", "remaining_time": "2:01:59"}
179
+ {"current_steps": 1790, "total_steps": 3941, "loss": 1.307, "learning_rate": 6.643329187775827e-06, "epoch": 0.4541418241786122, "percentage": 45.42, "elapsed_time": "1:41:01", "remaining_time": "2:01:23"}
180
+ {"current_steps": 1800, "total_steps": 3941, "loss": 1.3086, "learning_rate": 6.601428447157525e-06, "epoch": 0.4566789293416212, "percentage": 45.67, "elapsed_time": "1:41:31", "remaining_time": "2:00:45"}
181
+ {"current_steps": 1810, "total_steps": 3941, "loss": 1.3025, "learning_rate": 6.559402008940539e-06, "epoch": 0.4592160345046302, "percentage": 45.93, "elapsed_time": "1:42:03", "remaining_time": "2:00:09"}
182
+ {"current_steps": 1820, "total_steps": 3941, "loss": 1.3146, "learning_rate": 6.517253171818844e-06, "epoch": 0.4617531396676392, "percentage": 46.18, "elapsed_time": "1:42:36", "remaining_time": "1:59:34"}
183
+ {"current_steps": 1830, "total_steps": 3941, "loss": 1.307, "learning_rate": 6.474985244093613e-06, "epoch": 0.46429024483064824, "percentage": 46.43, "elapsed_time": "1:43:07", "remaining_time": "1:58:57"}
184
+ {"current_steps": 1840, "total_steps": 3941, "loss": 1.2996, "learning_rate": 6.432601543413552e-06, "epoch": 0.4668273499936572, "percentage": 46.69, "elapsed_time": "1:43:39", "remaining_time": "1:58:21"}
185
+ {"current_steps": 1850, "total_steps": 3941, "loss": 1.3013, "learning_rate": 6.390105396514497e-06, "epoch": 0.46936445515666625, "percentage": 46.94, "elapsed_time": "1:44:11", "remaining_time": "1:57:45"}
186
+ {"current_steps": 1860, "total_steps": 3941, "loss": 1.3086, "learning_rate": 6.347500138958285e-06, "epoch": 0.47190156031967523, "percentage": 47.2, "elapsed_time": "1:44:43", "remaining_time": "1:57:10"}
187
+ {"current_steps": 1870, "total_steps": 3941, "loss": 1.3121, "learning_rate": 6.304789114870953e-06, "epoch": 0.47443866548268426, "percentage": 47.45, "elapsed_time": "1:45:16", "remaining_time": "1:56:35"}
188
+ {"current_steps": 1880, "total_steps": 3941, "loss": 1.3109, "learning_rate": 6.261975676680252e-06, "epoch": 0.47697577064569324, "percentage": 47.7, "elapsed_time": "1:45:49", "remaining_time": "1:56:00"}
189
+ {"current_steps": 1890, "total_steps": 3941, "loss": 1.3057, "learning_rate": 6.219063184852509e-06, "epoch": 0.4795128758087023, "percentage": 47.96, "elapsed_time": "1:46:21", "remaining_time": "1:55:25"}
190
+ {"current_steps": 1900, "total_steps": 3941, "loss": 1.2978, "learning_rate": 6.176055007628859e-06, "epoch": 0.48204998097171126, "percentage": 48.21, "elapsed_time": "1:46:54", "remaining_time": "1:54:50"}
191
+ {"current_steps": 1910, "total_steps": 3941, "loss": 1.2936, "learning_rate": 6.132954520760882e-06, "epoch": 0.4845870861347203, "percentage": 48.46, "elapsed_time": "1:47:26", "remaining_time": "1:54:14"}
192
+ {"current_steps": 1920, "total_steps": 3941, "loss": 1.311, "learning_rate": 6.089765107245616e-06, "epoch": 0.48712419129772927, "percentage": 48.72, "elapsed_time": "1:47:59", "remaining_time": "1:53:40"}
193
+ {"current_steps": 1930, "total_steps": 3941, "loss": 1.2917, "learning_rate": 6.046490157060041e-06, "epoch": 0.4896612964607383, "percentage": 48.97, "elapsed_time": "1:48:31", "remaining_time": "1:53:04"}
194
+ {"current_steps": 1940, "total_steps": 3941, "loss": 1.3173, "learning_rate": 6.003133066894987e-06, "epoch": 0.4921984016237473, "percentage": 49.23, "elapsed_time": "1:49:03", "remaining_time": "1:52:29"}
195
+ {"current_steps": 1950, "total_steps": 3941, "loss": 1.2978, "learning_rate": 5.959697239888525e-06, "epoch": 0.4947355067867563, "percentage": 49.48, "elapsed_time": "1:49:36", "remaining_time": "1:51:54"}
196
+ {"current_steps": 1960, "total_steps": 3941, "loss": 1.3125, "learning_rate": 5.916186085358858e-06, "epoch": 0.4972726119497653, "percentage": 49.73, "elapsed_time": "1:50:08", "remaining_time": "1:51:19"}
197
+ {"current_steps": 1970, "total_steps": 3941, "loss": 1.3035, "learning_rate": 5.872603018536713e-06, "epoch": 0.49980971711277433, "percentage": 49.99, "elapsed_time": "1:50:41", "remaining_time": "1:50:44"}
198
+ {"current_steps": 1980, "total_steps": 3941, "loss": 1.2943, "learning_rate": 5.828951460297277e-06, "epoch": 0.5023468222757833, "percentage": 50.24, "elapsed_time": "1:51:13", "remaining_time": "1:50:09"}
199
+ {"current_steps": 1990, "total_steps": 3941, "loss": 1.3019, "learning_rate": 5.785234836891697e-06, "epoch": 0.5048839274387923, "percentage": 50.49, "elapsed_time": "1:51:45", "remaining_time": "1:49:33"}
200
+ {"current_steps": 2000, "total_steps": 3941, "loss": 1.2929, "learning_rate": 5.741456579678141e-06, "epoch": 0.5074210326018014, "percentage": 50.75, "elapsed_time": "1:52:16", "remaining_time": "1:48:58"}
201
+ {"current_steps": 2010, "total_steps": 3941, "loss": 1.2868, "learning_rate": 5.697620124852472e-06, "epoch": 0.5099581377648104, "percentage": 51.0, "elapsed_time": "1:53:55", "remaining_time": "1:49:27"}
202
+ {"current_steps": 2020, "total_steps": 3941, "loss": 1.2875, "learning_rate": 5.65372891317854e-06, "epoch": 0.5124952429278193, "percentage": 51.26, "elapsed_time": "1:54:27", "remaining_time": "1:48:50"}
203
+ {"current_steps": 2030, "total_steps": 3941, "loss": 1.2963, "learning_rate": 5.6097863897181075e-06, "epoch": 0.5150323480908283, "percentage": 51.51, "elapsed_time": "1:54:59", "remaining_time": "1:48:14"}
204
+ {"current_steps": 2040, "total_steps": 3941, "loss": 1.3121, "learning_rate": 5.565796003560447e-06, "epoch": 0.5175694532538374, "percentage": 51.76, "elapsed_time": "1:55:32", "remaining_time": "1:47:40"}
205
+ {"current_steps": 2050, "total_steps": 3941, "loss": 1.2979, "learning_rate": 5.521761207551622e-06, "epoch": 0.5201065584168464, "percentage": 52.02, "elapsed_time": "1:56:05", "remaining_time": "1:47:05"}
206
+ {"current_steps": 2060, "total_steps": 3941, "loss": 1.3107, "learning_rate": 5.47768545802346e-06, "epoch": 0.5226436635798554, "percentage": 52.27, "elapsed_time": "1:56:38", "remaining_time": "1:46:30"}
207
+ {"current_steps": 2070, "total_steps": 3941, "loss": 1.2952, "learning_rate": 5.433572214522275e-06, "epoch": 0.5251807687428643, "percentage": 52.52, "elapsed_time": "1:57:10", "remaining_time": "1:45:54"}
208
+ {"current_steps": 2080, "total_steps": 3941, "loss": 1.2922, "learning_rate": 5.389424939537311e-06, "epoch": 0.5277178739058734, "percentage": 52.78, "elapsed_time": "1:57:41", "remaining_time": "1:45:18"}
209
+ {"current_steps": 2090, "total_steps": 3941, "loss": 1.2942, "learning_rate": 5.345247098228977e-06, "epoch": 0.5302549790688824, "percentage": 53.03, "elapsed_time": "1:58:14", "remaining_time": "1:44:43"}
210
+ {"current_steps": 2100, "total_steps": 3941, "loss": 1.2898, "learning_rate": 5.301042158156866e-06, "epoch": 0.5327920842318914, "percentage": 53.29, "elapsed_time": "1:58:47", "remaining_time": "1:44:08"}
211
+ {"current_steps": 2110, "total_steps": 3941, "loss": 1.2967, "learning_rate": 5.256813589007571e-06, "epoch": 0.5353291893949004, "percentage": 53.54, "elapsed_time": "1:59:20", "remaining_time": "1:43:34"}
212
+ {"current_steps": 2120, "total_steps": 3941, "loss": 1.2987, "learning_rate": 5.212564862322355e-06, "epoch": 0.5378662945579095, "percentage": 53.79, "elapsed_time": "1:59:52", "remaining_time": "1:42:58"}
213
+ {"current_steps": 2130, "total_steps": 3941, "loss": 1.2859, "learning_rate": 5.168299451224665e-06, "epoch": 0.5404033997209184, "percentage": 54.05, "elapsed_time": "2:00:27", "remaining_time": "1:42:24"}
214
+ {"current_steps": 2140, "total_steps": 3941, "loss": 1.2942, "learning_rate": 5.124020830147525e-06, "epoch": 0.5429405048839274, "percentage": 54.3, "elapsed_time": "2:01:00", "remaining_time": "1:41:50"}
215
+ {"current_steps": 2150, "total_steps": 3941, "loss": 1.2967, "learning_rate": 5.079732474560821e-06, "epoch": 0.5454776100469364, "percentage": 54.55, "elapsed_time": "2:01:31", "remaining_time": "1:41:13"}
216
+ {"current_steps": 2160, "total_steps": 3941, "loss": 1.2792, "learning_rate": 5.035437860698508e-06, "epoch": 0.5480147152099455, "percentage": 54.81, "elapsed_time": "2:02:02", "remaining_time": "1:40:37"}
217
+ {"current_steps": 2170, "total_steps": 3941, "loss": 1.2722, "learning_rate": 4.991140465285762e-06, "epoch": 0.5505518203729545, "percentage": 55.06, "elapsed_time": "2:02:34", "remaining_time": "1:40:02"}
218
+ {"current_steps": 2180, "total_steps": 3941, "loss": 1.294, "learning_rate": 4.94684376526608e-06, "epoch": 0.5530889255359634, "percentage": 55.32, "elapsed_time": "2:03:08", "remaining_time": "1:39:28"}
219
+ {"current_steps": 2190, "total_steps": 3941, "loss": 1.2898, "learning_rate": 4.902551237528387e-06, "epoch": 0.5556260306989724, "percentage": 55.57, "elapsed_time": "2:03:40", "remaining_time": "1:38:52"}
220
+ {"current_steps": 2200, "total_steps": 3941, "loss": 1.2943, "learning_rate": 4.858266358634109e-06, "epoch": 0.5581631358619815, "percentage": 55.82, "elapsed_time": "2:04:14", "remaining_time": "1:38:19"}
221
+ {"current_steps": 2210, "total_steps": 3941, "loss": 1.309, "learning_rate": 4.813992604544319e-06, "epoch": 0.5607002410249905, "percentage": 56.08, "elapsed_time": "2:04:47", "remaining_time": "1:37:44"}
222
+ {"current_steps": 2220, "total_steps": 3941, "loss": 1.2941, "learning_rate": 4.769733450346885e-06, "epoch": 0.5632373461879995, "percentage": 56.33, "elapsed_time": "2:05:20", "remaining_time": "1:37:09"}
223
+ {"current_steps": 2230, "total_steps": 3941, "loss": 1.2808, "learning_rate": 4.725492369983721e-06, "epoch": 0.5657744513510085, "percentage": 56.58, "elapsed_time": "2:05:53", "remaining_time": "1:36:35"}
224
+ {"current_steps": 2240, "total_steps": 3941, "loss": 1.2886, "learning_rate": 4.6812728359781064e-06, "epoch": 0.5683115565140175, "percentage": 56.84, "elapsed_time": "2:06:27", "remaining_time": "1:36:01"}
225
+ {"current_steps": 2250, "total_steps": 3941, "loss": 1.2848, "learning_rate": 4.637078319162127e-06, "epoch": 0.5708486616770265, "percentage": 57.09, "elapsed_time": "2:06:59", "remaining_time": "1:35:26"}
226
+ {"current_steps": 2260, "total_steps": 3941, "loss": 1.2747, "learning_rate": 4.592912288404251e-06, "epoch": 0.5733857668400355, "percentage": 57.35, "elapsed_time": "2:07:31", "remaining_time": "1:34:51"}
227
+ {"current_steps": 2270, "total_steps": 3941, "loss": 1.2889, "learning_rate": 4.5487782103370445e-06, "epoch": 0.5759228720030445, "percentage": 57.6, "elapsed_time": "2:08:08", "remaining_time": "1:34:19"}
228
+ {"current_steps": 2280, "total_steps": 3941, "loss": 1.2956, "learning_rate": 4.504679549085077e-06, "epoch": 0.5784599771660536, "percentage": 57.85, "elapsed_time": "2:08:41", "remaining_time": "1:33:45"}
229
+ {"current_steps": 2290, "total_steps": 3941, "loss": 1.2974, "learning_rate": 4.460619765993025e-06, "epoch": 0.5809970823290626, "percentage": 58.11, "elapsed_time": "2:09:12", "remaining_time": "1:33:09"}
230
+ {"current_steps": 2300, "total_steps": 3941, "loss": 1.29, "learning_rate": 4.416602319353974e-06, "epoch": 0.5835341874920715, "percentage": 58.36, "elapsed_time": "2:09:45", "remaining_time": "1:32:35"}
231
+ {"current_steps": 2310, "total_steps": 3941, "loss": 1.2745, "learning_rate": 4.3726306641379915e-06, "epoch": 0.5860712926550805, "percentage": 58.61, "elapsed_time": "2:10:19", "remaining_time": "1:32:01"}
232
+ {"current_steps": 2320, "total_steps": 3941, "loss": 1.2739, "learning_rate": 4.328708251720924e-06, "epoch": 0.5886083978180896, "percentage": 58.87, "elapsed_time": "2:10:54", "remaining_time": "1:31:28"}
233
+ {"current_steps": 2330, "total_steps": 3941, "loss": 1.3101, "learning_rate": 4.2848385296135165e-06, "epoch": 0.5911455029810986, "percentage": 59.12, "elapsed_time": "2:11:28", "remaining_time": "1:30:54"}
234
+ {"current_steps": 2340, "total_steps": 3941, "loss": 1.2771, "learning_rate": 4.241024941190792e-06, "epoch": 0.5936826081441076, "percentage": 59.38, "elapsed_time": "2:12:01", "remaining_time": "1:30:19"}
235
+ {"current_steps": 2350, "total_steps": 3941, "loss": 1.2877, "learning_rate": 4.197270925421796e-06, "epoch": 0.5962197133071165, "percentage": 59.63, "elapsed_time": "2:12:35", "remaining_time": "1:29:45"}
236
+ {"current_steps": 2360, "total_steps": 3941, "loss": 1.2969, "learning_rate": 4.153579916599659e-06, "epoch": 0.5987568184701256, "percentage": 59.88, "elapsed_time": "2:13:08", "remaining_time": "1:29:11"}
237
+ {"current_steps": 2370, "total_steps": 3941, "loss": 1.2745, "learning_rate": 4.109955344072036e-06, "epoch": 0.6012939236331346, "percentage": 60.14, "elapsed_time": "2:13:39", "remaining_time": "1:28:35"}
238
+ {"current_steps": 2380, "total_steps": 3941, "loss": 1.2714, "learning_rate": 4.066400631971938e-06, "epoch": 0.6038310287961436, "percentage": 60.39, "elapsed_time": "2:14:12", "remaining_time": "1:28:01"}
239
+ {"current_steps": 2390, "total_steps": 3941, "loss": 1.2759, "learning_rate": 4.022919198948966e-06, "epoch": 0.6063681339591526, "percentage": 60.64, "elapsed_time": "2:14:45", "remaining_time": "1:27:26"}
240
+ {"current_steps": 2400, "total_steps": 3941, "loss": 1.2845, "learning_rate": 3.979514457900982e-06, "epoch": 0.6089052391221617, "percentage": 60.9, "elapsed_time": "2:15:16", "remaining_time": "1:26:51"}
241
+ {"current_steps": 2410, "total_steps": 3941, "loss": 1.2833, "learning_rate": 3.936189815706219e-06, "epoch": 0.6114423442851706, "percentage": 61.15, "elapsed_time": "2:15:49", "remaining_time": "1:26:17"}
242
+ {"current_steps": 2420, "total_steps": 3941, "loss": 1.2941, "learning_rate": 3.8929486729558775e-06, "epoch": 0.6139794494481796, "percentage": 61.41, "elapsed_time": "2:16:20", "remaining_time": "1:25:41"}
243
+ {"current_steps": 2430, "total_steps": 3941, "loss": 1.2775, "learning_rate": 3.849794423687212e-06, "epoch": 0.6165165546111886, "percentage": 61.66, "elapsed_time": "2:16:52", "remaining_time": "1:25:06"}
244
+ {"current_steps": 2440, "total_steps": 3941, "loss": 1.2627, "learning_rate": 3.8067304551171247e-06, "epoch": 0.6190536597741977, "percentage": 61.91, "elapsed_time": "2:17:25", "remaining_time": "1:24:32"}
245
+ {"current_steps": 2450, "total_steps": 3941, "loss": 1.284, "learning_rate": 3.7637601473763035e-06, "epoch": 0.6215907649372067, "percentage": 62.17, "elapsed_time": "2:17:57", "remaining_time": "1:23:57"}
246
+ {"current_steps": 2460, "total_steps": 3941, "loss": 1.2927, "learning_rate": 3.7208868732439145e-06, "epoch": 0.6241278701002156, "percentage": 62.42, "elapsed_time": "2:18:29", "remaining_time": "1:23:22"}
247
+ {"current_steps": 2470, "total_steps": 3941, "loss": 1.2947, "learning_rate": 3.6781139978828606e-06, "epoch": 0.6266649752632246, "percentage": 62.67, "elapsed_time": "2:19:02", "remaining_time": "1:22:48"}
248
+ {"current_steps": 2480, "total_steps": 3941, "loss": 1.2843, "learning_rate": 3.6354448785756558e-06, "epoch": 0.6292020804262337, "percentage": 62.93, "elapsed_time": "2:19:35", "remaining_time": "1:22:14"}
249
+ {"current_steps": 2490, "total_steps": 3941, "loss": 1.265, "learning_rate": 3.592882864460905e-06, "epoch": 0.6317391855892427, "percentage": 63.18, "elapsed_time": "2:20:08", "remaining_time": "1:21:39"}
250
+ {"current_steps": 2500, "total_steps": 3941, "loss": 1.2709, "learning_rate": 3.5504312962704245e-06, "epoch": 0.6342762907522517, "percentage": 63.44, "elapsed_time": "2:20:43", "remaining_time": "1:21:06"}
251
+ {"current_steps": 2510, "total_steps": 3941, "loss": 1.2679, "learning_rate": 3.5080935060670345e-06, "epoch": 0.6368133959152606, "percentage": 63.69, "elapsed_time": "2:22:56", "remaining_time": "1:21:29"}
252
+ {"current_steps": 2520, "total_steps": 3941, "loss": 1.2821, "learning_rate": 3.465872816983008e-06, "epoch": 0.6393505010782697, "percentage": 63.94, "elapsed_time": "2:23:29", "remaining_time": "1:20:54"}
253
+ {"current_steps": 2530, "total_steps": 3941, "loss": 1.2865, "learning_rate": 3.4237725429592507e-06, "epoch": 0.6418876062412787, "percentage": 64.2, "elapsed_time": "2:24:03", "remaining_time": "1:20:20"}
254
+ {"current_steps": 2540, "total_steps": 3941, "loss": 1.2698, "learning_rate": 3.3817959884851735e-06, "epoch": 0.6444247114042877, "percentage": 64.45, "elapsed_time": "2:24:37", "remaining_time": "1:19:46"}
255
+ {"current_steps": 2550, "total_steps": 3941, "loss": 1.291, "learning_rate": 3.3399464483393272e-06, "epoch": 0.6469618165672967, "percentage": 64.7, "elapsed_time": "2:25:11", "remaining_time": "1:19:12"}
256
+ {"current_steps": 2560, "total_steps": 3941, "loss": 1.2765, "learning_rate": 3.298227207330792e-06, "epoch": 0.6494989217303058, "percentage": 64.96, "elapsed_time": "2:25:44", "remaining_time": "1:18:37"}
257
+ {"current_steps": 2570, "total_steps": 3941, "loss": 1.2905, "learning_rate": 3.256641540041346e-06, "epoch": 0.6520360268933147, "percentage": 65.21, "elapsed_time": "2:26:15", "remaining_time": "1:18:01"}
258
+ {"current_steps": 2580, "total_steps": 3941, "loss": 1.298, "learning_rate": 3.2151927105684423e-06, "epoch": 0.6545731320563237, "percentage": 65.47, "elapsed_time": "2:26:48", "remaining_time": "1:17:26"}
259
+ {"current_steps": 2590, "total_steps": 3941, "loss": 1.2742, "learning_rate": 3.1738839722690085e-06, "epoch": 0.6571102372193327, "percentage": 65.72, "elapsed_time": "2:27:19", "remaining_time": "1:16:50"}
260
+ {"current_steps": 2600, "total_steps": 3941, "loss": 1.2769, "learning_rate": 3.1327185675040907e-06, "epoch": 0.6596473423823418, "percentage": 65.97, "elapsed_time": "2:27:52", "remaining_time": "1:16:16"}
261
+ {"current_steps": 2610, "total_steps": 3941, "loss": 1.2938, "learning_rate": 3.0916997273843454e-06, "epoch": 0.6621844475453508, "percentage": 66.23, "elapsed_time": "2:28:24", "remaining_time": "1:15:41"}
262
+ {"current_steps": 2620, "total_steps": 3941, "loss": 1.2913, "learning_rate": 3.0508306715164416e-06, "epoch": 0.6647215527083598, "percentage": 66.48, "elapsed_time": "2:28:58", "remaining_time": "1:15:06"}
263
+ {"current_steps": 2630, "total_steps": 3941, "loss": 1.2777, "learning_rate": 3.0101146077503386e-06, "epoch": 0.6672586578713687, "percentage": 66.73, "elapsed_time": "2:29:32", "remaining_time": "1:14:32"}
264
+ {"current_steps": 2640, "total_steps": 3941, "loss": 1.2633, "learning_rate": 2.9695547319275093e-06, "epoch": 0.6697957630343778, "percentage": 66.99, "elapsed_time": "2:30:06", "remaining_time": "1:13:58"}
265
+ {"current_steps": 2650, "total_steps": 3941, "loss": 1.289, "learning_rate": 2.9291542276300866e-06, "epoch": 0.6723328681973868, "percentage": 67.24, "elapsed_time": "2:30:40", "remaining_time": "1:13:24"}
266
+ {"current_steps": 2660, "total_steps": 3941, "loss": 1.2729, "learning_rate": 2.8889162659309832e-06, "epoch": 0.6748699733603958, "percentage": 67.5, "elapsed_time": "2:31:13", "remaining_time": "1:12:49"}
267
+ {"current_steps": 2670, "total_steps": 3941, "loss": 1.3024, "learning_rate": 2.848844005145004e-06, "epoch": 0.6774070785234048, "percentage": 67.75, "elapsed_time": "2:31:47", "remaining_time": "1:12:15"}
268
+ {"current_steps": 2680, "total_steps": 3941, "loss": 1.2845, "learning_rate": 2.808940590580922e-06, "epoch": 0.6799441836864138, "percentage": 68.0, "elapsed_time": "2:32:21", "remaining_time": "1:11:41"}
269
+ {"current_steps": 2690, "total_steps": 3941, "loss": 1.2844, "learning_rate": 2.769209154294623e-06, "epoch": 0.6824812888494228, "percentage": 68.26, "elapsed_time": "2:32:53", "remaining_time": "1:11:06"}
270
+ {"current_steps": 2700, "total_steps": 3941, "loss": 1.2683, "learning_rate": 2.7296528148432565e-06, "epoch": 0.6850183940124318, "percentage": 68.51, "elapsed_time": "2:33:26", "remaining_time": "1:10:31"}
271
+ {"current_steps": 2710, "total_steps": 3941, "loss": 1.2776, "learning_rate": 2.690274677040462e-06, "epoch": 0.6875554991754408, "percentage": 68.76, "elapsed_time": "2:33:59", "remaining_time": "1:09:56"}
272
+ {"current_steps": 2720, "total_steps": 3941, "loss": 1.2807, "learning_rate": 2.6510778317126597e-06, "epoch": 0.6900926043384499, "percentage": 69.02, "elapsed_time": "2:34:31", "remaining_time": "1:09:21"}
273
+ {"current_steps": 2730, "total_steps": 3941, "loss": 1.2777, "learning_rate": 2.6120653554564624e-06, "epoch": 0.6926297095014589, "percentage": 69.27, "elapsed_time": "2:35:04", "remaining_time": "1:08:47"}
274
+ {"current_steps": 2740, "total_steps": 3941, "loss": 1.2736, "learning_rate": 2.573240310397187e-06, "epoch": 0.6951668146644678, "percentage": 69.53, "elapsed_time": "2:35:38", "remaining_time": "1:08:13"}
275
+ {"current_steps": 2750, "total_steps": 3941, "loss": 1.2803, "learning_rate": 2.5346057439484923e-06, "epoch": 0.6977039198274768, "percentage": 69.78, "elapsed_time": "2:36:10", "remaining_time": "1:07:38"}
276
+ {"current_steps": 2760, "total_steps": 3941, "loss": 1.2744, "learning_rate": 2.4961646885732034e-06, "epoch": 0.7002410249904859, "percentage": 70.03, "elapsed_time": "2:36:42", "remaining_time": "1:07:03"}
277
+ {"current_steps": 2770, "total_steps": 3941, "loss": 1.2842, "learning_rate": 2.4579201615452812e-06, "epoch": 0.7027781301534949, "percentage": 70.29, "elapsed_time": "2:37:14", "remaining_time": "1:06:28"}
278
+ {"current_steps": 2780, "total_steps": 3941, "loss": 1.2963, "learning_rate": 2.4198751647129896e-06, "epoch": 0.7053152353165039, "percentage": 70.54, "elapsed_time": "2:37:47", "remaining_time": "1:05:53"}
279
+ {"current_steps": 2790, "total_steps": 3941, "loss": 1.2637, "learning_rate": 2.3820326842632894e-06, "epoch": 0.7078523404795128, "percentage": 70.79, "elapsed_time": "2:38:21", "remaining_time": "1:05:19"}
280
+ {"current_steps": 2800, "total_steps": 3941, "loss": 1.2856, "learning_rate": 2.344395690487441e-06, "epoch": 0.7103894456425219, "percentage": 71.05, "elapsed_time": "2:38:54", "remaining_time": "1:04:45"}
281
+ {"current_steps": 2810, "total_steps": 3941, "loss": 1.2848, "learning_rate": 2.3069671375478645e-06, "epoch": 0.7129265508055309, "percentage": 71.3, "elapsed_time": "2:39:27", "remaining_time": "1:04:10"}
282
+ {"current_steps": 2820, "total_steps": 3941, "loss": 1.2536, "learning_rate": 2.2697499632462695e-06, "epoch": 0.7154636559685399, "percentage": 71.56, "elapsed_time": "2:39:59", "remaining_time": "1:03:36"}
283
+ {"current_steps": 2830, "total_steps": 3941, "loss": 1.3015, "learning_rate": 2.2327470887930595e-06, "epoch": 0.7180007611315489, "percentage": 71.81, "elapsed_time": "2:40:32", "remaining_time": "1:03:01"}
284
+ {"current_steps": 2840, "total_steps": 3941, "loss": 1.2744, "learning_rate": 2.195961418578041e-06, "epoch": 0.720537866294558, "percentage": 72.06, "elapsed_time": "2:41:04", "remaining_time": "1:02:26"}
285
+ {"current_steps": 2850, "total_steps": 3941, "loss": 1.2664, "learning_rate": 2.159395839942464e-06, "epoch": 0.7230749714575669, "percentage": 72.32, "elapsed_time": "2:41:38", "remaining_time": "1:01:52"}
286
+ {"current_steps": 2860, "total_steps": 3941, "loss": 1.2489, "learning_rate": 2.1230532229523865e-06, "epoch": 0.7256120766205759, "percentage": 72.57, "elapsed_time": "2:42:09", "remaining_time": "1:01:17"}
287
+ {"current_steps": 2870, "total_steps": 3941, "loss": 1.2719, "learning_rate": 2.086936420173399e-06, "epoch": 0.7281491817835849, "percentage": 72.82, "elapsed_time": "2:42:42", "remaining_time": "1:00:42"}
288
+ {"current_steps": 2880, "total_steps": 3941, "loss": 1.2652, "learning_rate": 2.051048266446727e-06, "epoch": 0.730686286946594, "percentage": 73.08, "elapsed_time": "2:43:14", "remaining_time": "1:00:08"}
289
+ {"current_steps": 2890, "total_steps": 3941, "loss": 1.26, "learning_rate": 2.0153915786667203e-06, "epoch": 0.733223392109603, "percentage": 73.33, "elapsed_time": "2:43:46", "remaining_time": "0:59:33"}
290
+ {"current_steps": 2900, "total_steps": 3941, "loss": 1.2881, "learning_rate": 1.9799691555597555e-06, "epoch": 0.735760497272612, "percentage": 73.59, "elapsed_time": "2:44:20", "remaining_time": "0:58:59"}
291
+ {"current_steps": 2910, "total_steps": 3941, "loss": 1.2702, "learning_rate": 1.9447837774645513e-06, "epoch": 0.7382976024356209, "percentage": 73.84, "elapsed_time": "2:44:51", "remaining_time": "0:58:24"}
292
+ {"current_steps": 2920, "total_steps": 3941, "loss": 1.2699, "learning_rate": 1.9098382061139503e-06, "epoch": 0.74083470759863, "percentage": 74.09, "elapsed_time": "2:45:24", "remaining_time": "0:57:50"}
293
+ {"current_steps": 2930, "total_steps": 3941, "loss": 1.2612, "learning_rate": 1.8751351844181414e-06, "epoch": 0.743371812761639, "percentage": 74.35, "elapsed_time": "2:45:55", "remaining_time": "0:57:15"}
294
+ {"current_steps": 2940, "total_steps": 3941, "loss": 1.2754, "learning_rate": 1.8406774362493662e-06, "epoch": 0.745908917924648, "percentage": 74.6, "elapsed_time": "2:46:26", "remaining_time": "0:56:40"}
295
+ {"current_steps": 2950, "total_steps": 3941, "loss": 1.2902, "learning_rate": 1.8064676662281206e-06, "epoch": 0.748446023087657, "percentage": 74.85, "elapsed_time": "2:46:59", "remaining_time": "0:56:05"}
296
+ {"current_steps": 2960, "total_steps": 3941, "loss": 1.273, "learning_rate": 1.7725085595108682e-06, "epoch": 0.750983128250666, "percentage": 75.11, "elapsed_time": "2:47:32", "remaining_time": "0:55:31"}
297
+ {"current_steps": 2970, "total_steps": 3941, "loss": 1.2787, "learning_rate": 1.7388027815792725e-06, "epoch": 0.753520233413675, "percentage": 75.36, "elapsed_time": "2:48:07", "remaining_time": "0:54:57"}
298
+ {"current_steps": 2980, "total_steps": 3941, "loss": 1.2627, "learning_rate": 1.705352978030993e-06, "epoch": 0.756057338576684, "percentage": 75.62, "elapsed_time": "2:48:39", "remaining_time": "0:54:23"}
299
+ {"current_steps": 2990, "total_steps": 3941, "loss": 1.2911, "learning_rate": 1.672161774372022e-06, "epoch": 0.758594443739693, "percentage": 75.87, "elapsed_time": "2:49:12", "remaining_time": "0:53:49"}
300
+ {"current_steps": 3000, "total_steps": 3941, "loss": 1.2907, "learning_rate": 1.639231775810602e-06, "epoch": 0.7611315489027021, "percentage": 76.12, "elapsed_time": "2:49:44", "remaining_time": "0:53:14"}
301
+ {"current_steps": 3010, "total_steps": 3941, "loss": 1.2632, "learning_rate": 1.6065655670527546e-06, "epoch": 0.763668654065711, "percentage": 76.38, "elapsed_time": "2:51:21", "remaining_time": "0:53:00"}
302
+ {"current_steps": 3020, "total_steps": 3941, "loss": 1.2542, "learning_rate": 1.574165712099392e-06, "epoch": 0.76620575922872, "percentage": 76.63, "elapsed_time": "2:51:54", "remaining_time": "0:52:25"}
303
+ {"current_steps": 3030, "total_steps": 3941, "loss": 1.2693, "learning_rate": 1.542034754045067e-06, "epoch": 0.768742864391729, "percentage": 76.88, "elapsed_time": "2:52:24", "remaining_time": "0:51:50"}
304
+ {"current_steps": 3040, "total_steps": 3941, "loss": 1.2728, "learning_rate": 1.5101752148783705e-06, "epoch": 0.7712799695547381, "percentage": 77.14, "elapsed_time": "2:52:57", "remaining_time": "0:51:15"}
305
+ {"current_steps": 3050, "total_steps": 3941, "loss": 1.2671, "learning_rate": 1.4785895952839735e-06, "epoch": 0.7738170747177471, "percentage": 77.39, "elapsed_time": "2:53:29", "remaining_time": "0:50:41"}
306
+ {"current_steps": 3060, "total_steps": 3941, "loss": 1.2778, "learning_rate": 1.447280374446346e-06, "epoch": 0.7763541798807561, "percentage": 77.65, "elapsed_time": "2:54:02", "remaining_time": "0:50:06"}
307
+ {"current_steps": 3070, "total_steps": 3941, "loss": 1.276, "learning_rate": 1.4162500098551608e-06, "epoch": 0.778891285043765, "percentage": 77.9, "elapsed_time": "2:54:35", "remaining_time": "0:49:31"}
308
+ {"current_steps": 3080, "total_steps": 3941, "loss": 1.2804, "learning_rate": 1.385500937112415e-06, "epoch": 0.7814283902067741, "percentage": 78.15, "elapsed_time": "2:55:07", "remaining_time": "0:48:57"}
309
+ {"current_steps": 3090, "total_steps": 3941, "loss": 1.2586, "learning_rate": 1.3550355697412386e-06, "epoch": 0.7839654953697831, "percentage": 78.41, "elapsed_time": "2:55:39", "remaining_time": "0:48:22"}
310
+ {"current_steps": 3100, "total_steps": 3941, "loss": 1.2843, "learning_rate": 1.3248562989964719e-06, "epoch": 0.7865026005327921, "percentage": 78.66, "elapsed_time": "2:56:12", "remaining_time": "0:47:48"}
311
+ {"current_steps": 3110, "total_steps": 3941, "loss": 1.2723, "learning_rate": 1.2949654936769622e-06, "epoch": 0.7890397056958011, "percentage": 78.91, "elapsed_time": "2:56:44", "remaining_time": "0:47:13"}
312
+ {"current_steps": 3120, "total_steps": 3941, "loss": 1.2621, "learning_rate": 1.2653654999396436e-06, "epoch": 0.79157681085881, "percentage": 79.17, "elapsed_time": "2:57:15", "remaining_time": "0:46:38"}
313
+ {"current_steps": 3130, "total_steps": 3941, "loss": 1.2897, "learning_rate": 1.2360586411153747e-06, "epoch": 0.7941139160218191, "percentage": 79.42, "elapsed_time": "2:57:46", "remaining_time": "0:46:03"}
314
+ {"current_steps": 3140, "total_steps": 3941, "loss": 1.2657, "learning_rate": 1.2070472175265857e-06, "epoch": 0.7966510211848281, "percentage": 79.68, "elapsed_time": "2:58:19", "remaining_time": "0:45:29"}
315
+ {"current_steps": 3150, "total_steps": 3941, "loss": 1.2974, "learning_rate": 1.1783335063067286e-06, "epoch": 0.7991881263478371, "percentage": 79.93, "elapsed_time": "2:58:51", "remaining_time": "0:44:54"}
316
+ {"current_steps": 3160, "total_steps": 3941, "loss": 1.2914, "learning_rate": 1.1499197612215269e-06, "epoch": 0.8017252315108461, "percentage": 80.18, "elapsed_time": "2:59:23", "remaining_time": "0:44:20"}
317
+ {"current_steps": 3170, "total_steps": 3941, "loss": 1.2583, "learning_rate": 1.1218082124920903e-06, "epoch": 0.8042623366738552, "percentage": 80.44, "elapsed_time": "2:59:55", "remaining_time": "0:43:45"}
318
+ {"current_steps": 3180, "total_steps": 3941, "loss": 1.2588, "learning_rate": 1.0940010666198575e-06, "epoch": 0.8067994418368641, "percentage": 80.69, "elapsed_time": "3:00:27", "remaining_time": "0:43:11"}
319
+ {"current_steps": 3190, "total_steps": 3941, "loss": 1.2641, "learning_rate": 1.0665005062134015e-06, "epoch": 0.8093365469998731, "percentage": 80.94, "elapsed_time": "3:01:01", "remaining_time": "0:42:36"}
320
+ {"current_steps": 3200, "total_steps": 3941, "loss": 1.2623, "learning_rate": 1.0393086898171234e-06, "epoch": 0.8118736521628821, "percentage": 81.2, "elapsed_time": "3:01:35", "remaining_time": "0:42:02"}
321
+ {"current_steps": 3210, "total_steps": 3941, "loss": 1.2701, "learning_rate": 1.0124277517418196e-06, "epoch": 0.8144107573258912, "percentage": 81.45, "elapsed_time": "3:02:06", "remaining_time": "0:41:28"}
322
+ {"current_steps": 3220, "total_steps": 3941, "loss": 1.2665, "learning_rate": 9.858598018971599e-07, "epoch": 0.8169478624889002, "percentage": 81.71, "elapsed_time": "3:02:38", "remaining_time": "0:40:53"}
323
+ {"current_steps": 3230, "total_steps": 3941, "loss": 1.2811, "learning_rate": 9.596069256260792e-07, "epoch": 0.8194849676519091, "percentage": 81.96, "elapsed_time": "3:03:10", "remaining_time": "0:40:19"}
324
+ {"current_steps": 3240, "total_steps": 3941, "loss": 1.2577, "learning_rate": 9.336711835410972e-07, "epoch": 0.8220220728149181, "percentage": 82.21, "elapsed_time": "3:03:43", "remaining_time": "0:39:45"}
325
+ {"current_steps": 3250, "total_steps": 3941, "loss": 1.2675, "learning_rate": 9.080546113625738e-07, "epoch": 0.8245591779779272, "percentage": 82.47, "elapsed_time": "3:04:19", "remaining_time": "0:39:11"}
326
+ {"current_steps": 3260, "total_steps": 3941, "loss": 1.2573, "learning_rate": 8.827592197589341e-07, "epoch": 0.8270962831409362, "percentage": 82.72, "elapsed_time": "3:04:53", "remaining_time": "0:38:37"}
327
+ {"current_steps": 3270, "total_steps": 3941, "loss": 1.2654, "learning_rate": 8.577869941888389e-07, "epoch": 0.8296333883039452, "percentage": 82.97, "elapsed_time": "3:05:24", "remaining_time": "0:38:02"}
328
+ {"current_steps": 3280, "total_steps": 3941, "loss": 1.271, "learning_rate": 8.331398947453512e-07, "epoch": 0.8321704934669542, "percentage": 83.23, "elapsed_time": "3:05:57", "remaining_time": "0:37:28"}
329
+ {"current_steps": 3290, "total_steps": 3941, "loss": 1.2771, "learning_rate": 8.08819856002081e-07, "epoch": 0.8347075986299632, "percentage": 83.48, "elapsed_time": "3:06:30", "remaining_time": "0:36:54"}
330
+ {"current_steps": 3300, "total_steps": 3941, "loss": 1.2511, "learning_rate": 7.848287868613441e-07, "epoch": 0.8372447037929722, "percentage": 83.74, "elapsed_time": "3:07:03", "remaining_time": "0:36:20"}
331
+ {"current_steps": 3310, "total_steps": 3941, "loss": 1.2724, "learning_rate": 7.611685704043281e-07, "epoch": 0.8397818089559812, "percentage": 83.99, "elapsed_time": "3:07:37", "remaining_time": "0:35:45"}
332
+ {"current_steps": 3320, "total_steps": 3941, "loss": 1.2761, "learning_rate": 7.378410637432848e-07, "epoch": 0.8423189141189902, "percentage": 84.24, "elapsed_time": "3:08:07", "remaining_time": "0:35:11"}
333
+ {"current_steps": 3330, "total_steps": 3941, "loss": 1.2808, "learning_rate": 7.148480978757694e-07, "epoch": 0.8448560192819993, "percentage": 84.5, "elapsed_time": "3:08:40", "remaining_time": "0:34:37"}
334
+ {"current_steps": 3340, "total_steps": 3941, "loss": 1.2764, "learning_rate": 6.921914775409211e-07, "epoch": 0.8473931244450083, "percentage": 84.75, "elapsed_time": "3:09:12", "remaining_time": "0:34:02"}
335
+ {"current_steps": 3350, "total_steps": 3941, "loss": 1.2724, "learning_rate": 6.698729810778065e-07, "epoch": 0.8499302296080172, "percentage": 85.0, "elapsed_time": "3:09:45", "remaining_time": "0:33:28"}
336
+ {"current_steps": 3360, "total_steps": 3941, "loss": 1.2703, "learning_rate": 6.478943602858373e-07, "epoch": 0.8524673347710262, "percentage": 85.26, "elapsed_time": "3:10:17", "remaining_time": "0:32:54"}
337
+ {"current_steps": 3370, "total_steps": 3941, "loss": 1.2702, "learning_rate": 6.262573402872707e-07, "epoch": 0.8550044399340353, "percentage": 85.51, "elapsed_time": "3:10:50", "remaining_time": "0:32:20"}
338
+ {"current_steps": 3380, "total_steps": 3941, "loss": 1.2652, "learning_rate": 6.04963619391799e-07, "epoch": 0.8575415450970443, "percentage": 85.77, "elapsed_time": "3:11:23", "remaining_time": "0:31:45"}
339
+ {"current_steps": 3390, "total_steps": 3941, "loss": 1.2628, "learning_rate": 5.840148689632536e-07, "epoch": 0.8600786502600533, "percentage": 86.02, "elapsed_time": "3:11:56", "remaining_time": "0:31:11"}
340
+ {"current_steps": 3400, "total_steps": 3941, "loss": 1.2649, "learning_rate": 5.634127332884143e-07, "epoch": 0.8626157554230622, "percentage": 86.27, "elapsed_time": "3:12:29", "remaining_time": "0:30:37"}
341
+ {"current_steps": 3410, "total_steps": 3941, "loss": 1.2863, "learning_rate": 5.431588294479479e-07, "epoch": 0.8651528605860713, "percentage": 86.53, "elapsed_time": "3:13:00", "remaining_time": "0:30:03"}
342
+ {"current_steps": 3420, "total_steps": 3941, "loss": 1.2603, "learning_rate": 5.232547471894839e-07, "epoch": 0.8676899657490803, "percentage": 86.78, "elapsed_time": "3:13:33", "remaining_time": "0:29:29"}
343
+ {"current_steps": 3430, "total_steps": 3941, "loss": 1.2659, "learning_rate": 5.037020488028322e-07, "epoch": 0.8702270709120893, "percentage": 87.03, "elapsed_time": "3:14:06", "remaining_time": "0:28:55"}
344
+ {"current_steps": 3440, "total_steps": 3941, "loss": 1.2622, "learning_rate": 4.845022689973567e-07, "epoch": 0.8727641760750983, "percentage": 87.29, "elapsed_time": "3:14:39", "remaining_time": "0:28:21"}
345
+ {"current_steps": 3450, "total_steps": 3941, "loss": 1.2675, "learning_rate": 4.656569147815171e-07, "epoch": 0.8753012812381074, "percentage": 87.54, "elapsed_time": "3:15:11", "remaining_time": "0:27:46"}
346
+ {"current_steps": 3460, "total_steps": 3941, "loss": 1.2657, "learning_rate": 4.471674653445801e-07, "epoch": 0.8778383864011163, "percentage": 87.79, "elapsed_time": "3:15:44", "remaining_time": "0:27:12"}
347
+ {"current_steps": 3470, "total_steps": 3941, "loss": 1.2622, "learning_rate": 4.290353719405199e-07, "epoch": 0.8803754915641253, "percentage": 88.05, "elapsed_time": "3:16:16", "remaining_time": "0:26:38"}
348
+ {"current_steps": 3480, "total_steps": 3941, "loss": 1.2658, "learning_rate": 4.1126205777410054e-07, "epoch": 0.8829125967271343, "percentage": 88.3, "elapsed_time": "3:16:47", "remaining_time": "0:26:04"}
349
+ {"current_steps": 3490, "total_steps": 3941, "loss": 1.26, "learning_rate": 3.938489178891769e-07, "epoch": 0.8854497018901434, "percentage": 88.56, "elapsed_time": "3:17:19", "remaining_time": "0:25:29"}
350
+ {"current_steps": 3500, "total_steps": 3941, "loss": 1.252, "learning_rate": 3.767973190591906e-07, "epoch": 0.8879868070531524, "percentage": 88.81, "elapsed_time": "3:17:52", "remaining_time": "0:24:55"}
351
+ {"current_steps": 3510, "total_steps": 3941, "loss": 1.2684, "learning_rate": 3.6010859967988975e-07, "epoch": 0.8905239122161613, "percentage": 89.06, "elapsed_time": "3:19:31", "remaining_time": "0:24:30"}
352
+ {"current_steps": 3520, "total_steps": 3941, "loss": 1.28, "learning_rate": 3.437840696642797e-07, "epoch": 0.8930610173791703, "percentage": 89.32, "elapsed_time": "3:20:02", "remaining_time": "0:23:55"}
353
+ {"current_steps": 3530, "total_steps": 3941, "loss": 1.2596, "learning_rate": 3.2782501033980897e-07, "epoch": 0.8955981225421794, "percentage": 89.57, "elapsed_time": "3:20:34", "remaining_time": "0:23:21"}
354
+ {"current_steps": 3540, "total_steps": 3941, "loss": 1.2548, "learning_rate": 3.1223267434778934e-07, "epoch": 0.8981352277051884, "percentage": 89.82, "elapsed_time": "3:21:06", "remaining_time": "0:22:46"}
355
+ {"current_steps": 3550, "total_steps": 3941, "loss": 1.2714, "learning_rate": 2.9700828554508175e-07, "epoch": 0.9006723328681974, "percentage": 90.08, "elapsed_time": "3:21:40", "remaining_time": "0:22:12"}
356
+ {"current_steps": 3560, "total_steps": 3941, "loss": 1.271, "learning_rate": 2.82153038908034e-07, "epoch": 0.9032094380312063, "percentage": 90.33, "elapsed_time": "3:22:10", "remaining_time": "0:21:38"}
357
+ {"current_steps": 3570, "total_steps": 3941, "loss": 1.2636, "learning_rate": 2.6766810043867996e-07, "epoch": 0.9057465431942154, "percentage": 90.59, "elapsed_time": "3:22:43", "remaining_time": "0:21:04"}
358
+ {"current_steps": 3580, "total_steps": 3941, "loss": 1.2555, "learning_rate": 2.53554607073227e-07, "epoch": 0.9082836483572244, "percentage": 90.84, "elapsed_time": "3:23:15", "remaining_time": "0:20:29"}
359
+ {"current_steps": 3590, "total_steps": 3941, "loss": 1.2741, "learning_rate": 2.3981366659281135e-07, "epoch": 0.9108207535202334, "percentage": 91.09, "elapsed_time": "3:23:48", "remaining_time": "0:19:55"}
360
+ {"current_steps": 3600, "total_steps": 3941, "loss": 1.2641, "learning_rate": 2.2644635753654832e-07, "epoch": 0.9133578586832424, "percentage": 91.35, "elapsed_time": "3:24:20", "remaining_time": "0:19:21"}
361
+ {"current_steps": 3610, "total_steps": 3941, "loss": 1.2719, "learning_rate": 2.1345372911687868e-07, "epoch": 0.9158949638462515, "percentage": 91.6, "elapsed_time": "3:24:53", "remaining_time": "0:18:47"}
362
+ {"current_steps": 3620, "total_steps": 3941, "loss": 1.2574, "learning_rate": 2.008368011372136e-07, "epoch": 0.9184320690092604, "percentage": 91.85, "elapsed_time": "3:25:26", "remaining_time": "0:18:13"}
363
+ {"current_steps": 3630, "total_steps": 3941, "loss": 1.2678, "learning_rate": 1.8859656391188918e-07, "epoch": 0.9209691741722694, "percentage": 92.11, "elapsed_time": "3:25:57", "remaining_time": "0:17:38"}
364
+ {"current_steps": 3640, "total_steps": 3941, "loss": 1.2631, "learning_rate": 1.7673397818843696e-07, "epoch": 0.9235062793352784, "percentage": 92.36, "elapsed_time": "3:26:30", "remaining_time": "0:17:04"}
365
+ {"current_steps": 3650, "total_steps": 3941, "loss": 1.2676, "learning_rate": 1.65249975072172e-07, "epoch": 0.9260433844982875, "percentage": 92.62, "elapsed_time": "3:27:04", "remaining_time": "0:16:30"}
366
+ {"current_steps": 3660, "total_steps": 3941, "loss": 1.2363, "learning_rate": 1.5414545595311193e-07, "epoch": 0.9285804896612965, "percentage": 92.87, "elapsed_time": "3:27:37", "remaining_time": "0:15:56"}
367
+ {"current_steps": 3670, "total_steps": 3941, "loss": 1.2716, "learning_rate": 1.4342129243522241e-07, "epoch": 0.9311175948243055, "percentage": 93.12, "elapsed_time": "3:28:11", "remaining_time": "0:15:22"}
368
+ {"current_steps": 3680, "total_steps": 3941, "loss": 1.2674, "learning_rate": 1.3307832626800966e-07, "epoch": 0.9336546999873144, "percentage": 93.38, "elapsed_time": "3:28:43", "remaining_time": "0:14:48"}
369
+ {"current_steps": 3690, "total_steps": 3941, "loss": 1.2662, "learning_rate": 1.2311736928044437e-07, "epoch": 0.9361918051503235, "percentage": 93.63, "elapsed_time": "3:29:16", "remaining_time": "0:14:14"}
370
+ {"current_steps": 3700, "total_steps": 3941, "loss": 1.2743, "learning_rate": 1.1353920331724666e-07, "epoch": 0.9387289103133325, "percentage": 93.88, "elapsed_time": "3:29:49", "remaining_time": "0:13:39"}
371
+ {"current_steps": 3710, "total_steps": 3941, "loss": 1.2505, "learning_rate": 1.0434458017751392e-07, "epoch": 0.9412660154763415, "percentage": 94.14, "elapsed_time": "3:30:21", "remaining_time": "0:13:05"}
372
+ {"current_steps": 3720, "total_steps": 3941, "loss": 1.2637, "learning_rate": 9.553422155571257e-08, "epoch": 0.9438031206393505, "percentage": 94.39, "elapsed_time": "3:30:54", "remaining_time": "0:12:31"}
373
+ {"current_steps": 3730, "total_steps": 3941, "loss": 1.2706, "learning_rate": 8.710881898503276e-08, "epoch": 0.9463402258023595, "percentage": 94.65, "elapsed_time": "3:31:27", "remaining_time": "0:11:57"}
374
+ {"current_steps": 3740, "total_steps": 3941, "loss": 1.2717, "learning_rate": 7.906903378310738e-08, "epoch": 0.9488773309653685, "percentage": 94.9, "elapsed_time": "3:32:01", "remaining_time": "0:11:23"}
375
+ {"current_steps": 3750, "total_steps": 3941, "loss": 1.2764, "learning_rate": 7.141549700010741e-08, "epoch": 0.9514144361283775, "percentage": 95.15, "elapsed_time": "3:32:34", "remaining_time": "0:10:49"}
376
+ {"current_steps": 3760, "total_steps": 3941, "loss": 1.2454, "learning_rate": 6.414880936920665e-08, "epoch": 0.9539515412913865, "percentage": 95.41, "elapsed_time": "3:33:08", "remaining_time": "0:10:15"}
377
+ {"current_steps": 3770, "total_steps": 3941, "loss": 1.2747, "learning_rate": 5.726954125943318e-08, "epoch": 0.9564886464543956, "percentage": 95.66, "elapsed_time": "3:33:39", "remaining_time": "0:09:41"}
378
+ {"current_steps": 3780, "total_steps": 3941, "loss": 1.2717, "learning_rate": 5.0778232630897536e-08, "epoch": 0.9590257516174046, "percentage": 95.91, "elapsed_time": "3:34:10", "remaining_time": "0:09:07"}
379
+ {"current_steps": 3790, "total_steps": 3941, "loss": 1.2728, "learning_rate": 4.4675392992412634e-08, "epoch": 0.9615628567804135, "percentage": 96.17, "elapsed_time": "3:34:43", "remaining_time": "0:08:33"}
380
+ {"current_steps": 3800, "total_steps": 3941, "loss": 1.2826, "learning_rate": 3.896150136150134e-08, "epoch": 0.9640999619434225, "percentage": 96.42, "elapsed_time": "3:35:14", "remaining_time": "0:07:59"}
381
+ {"current_steps": 3810, "total_steps": 3941, "loss": 1.2534, "learning_rate": 3.3637006226797665e-08, "epoch": 0.9666370671064316, "percentage": 96.68, "elapsed_time": "3:35:49", "remaining_time": "0:07:25"}
382
+ {"current_steps": 3820, "total_steps": 3941, "loss": 1.2609, "learning_rate": 2.8702325512844908e-08, "epoch": 0.9691741722694406, "percentage": 96.93, "elapsed_time": "3:36:25", "remaining_time": "0:06:51"}
383
+ {"current_steps": 3830, "total_steps": 3941, "loss": 1.2787, "learning_rate": 2.4157846547292473e-08, "epoch": 0.9717112774324496, "percentage": 97.18, "elapsed_time": "3:36:58", "remaining_time": "0:06:17"}
384
+ {"current_steps": 3840, "total_steps": 3941, "loss": 1.2665, "learning_rate": 2.000392603049517e-08, "epoch": 0.9742483825954585, "percentage": 97.44, "elapsed_time": "3:37:31", "remaining_time": "0:05:43"}
385
+ {"current_steps": 3850, "total_steps": 3941, "loss": 1.2785, "learning_rate": 1.6240890007510612e-08, "epoch": 0.9767854877584676, "percentage": 97.69, "elapsed_time": "3:38:04", "remaining_time": "0:05:09"}
386
+ {"current_steps": 3860, "total_steps": 3941, "loss": 1.2539, "learning_rate": 1.286903384251581e-08, "epoch": 0.9793225929214766, "percentage": 97.94, "elapsed_time": "3:38:35", "remaining_time": "0:04:35"}
387
+ {"current_steps": 3870, "total_steps": 3941, "loss": 1.2725, "learning_rate": 9.888622195615705e-09, "epoch": 0.9818596980844856, "percentage": 98.2, "elapsed_time": "3:39:08", "remaining_time": "0:04:01"}
388
+ {"current_steps": 3880, "total_steps": 3941, "loss": 1.2726, "learning_rate": 7.299889002075344e-09, "epoch": 0.9843968032474946, "percentage": 98.45, "elapsed_time": "3:39:41", "remaining_time": "0:03:27"}
389
+ {"current_steps": 3890, "total_steps": 3941, "loss": 1.2548, "learning_rate": 5.103037453954573e-09, "epoch": 0.9869339084105037, "percentage": 98.71, "elapsed_time": "3:40:13", "remaining_time": "0:02:53"}
390
+ {"current_steps": 3900, "total_steps": 3941, "loss": 1.2859, "learning_rate": 3.2982399841618996e-09, "epoch": 0.9894710135735126, "percentage": 98.96, "elapsed_time": "3:40:44", "remaining_time": "0:02:19"}
391
+ {"current_steps": 3910, "total_steps": 3941, "loss": 1.2842, "learning_rate": 1.8856382529192085e-09, "epoch": 0.9920081187365216, "percentage": 99.21, "elapsed_time": "3:41:17", "remaining_time": "0:01:45"}
392
+ {"current_steps": 3920, "total_steps": 3941, "loss": 1.2447, "learning_rate": 8.653431366406617e-10, "epoch": 0.9945452238995306, "percentage": 99.47, "elapsed_time": "3:41:50", "remaining_time": "0:01:11"}
393
+ {"current_steps": 3930, "total_steps": 3941, "loss": 1.2707, "learning_rate": 2.374347192335424e-10, "epoch": 0.9970823290625397, "percentage": 99.72, "elapsed_time": "3:42:22", "remaining_time": "0:00:37"}
394
+ {"current_steps": 3940, "total_steps": 3941, "loss": 1.2737, "learning_rate": 1.9622858088430564e-12, "epoch": 0.9996194342255487, "percentage": 99.97, "elapsed_time": "3:42:54", "remaining_time": "0:00:03"}
395
+ {"current_steps": 3941, "total_steps": 3941, "epoch": 0.9998731447418495, "percentage": 100.0, "elapsed_time": "3:44:02", "remaining_time": "0:00:00"}
trainer_state.json ADDED
@@ -0,0 +1,2800 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.9998731447418495,
5
+ "eval_steps": 500,
6
+ "global_step": 3941,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.002537105163009007,
13
+ "grad_norm": 4.350327938684374,
14
+ "learning_rate": 2.5316455696202533e-07,
15
+ "loss": 1.8196,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.005074210326018014,
20
+ "grad_norm": 3.678530456221003,
21
+ "learning_rate": 5.063291139240507e-07,
22
+ "loss": 1.8108,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.00761131548902702,
27
+ "grad_norm": 2.945036910011768,
28
+ "learning_rate": 7.59493670886076e-07,
29
+ "loss": 1.8147,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.010148420652036028,
34
+ "grad_norm": 2.3190574498378447,
35
+ "learning_rate": 1.0126582278481013e-06,
36
+ "loss": 1.7548,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.012685525815045033,
41
+ "grad_norm": 2.074674879169714,
42
+ "learning_rate": 1.2658227848101267e-06,
43
+ "loss": 1.7204,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.01522263097805404,
48
+ "grad_norm": 1.748653753253889,
49
+ "learning_rate": 1.518987341772152e-06,
50
+ "loss": 1.6762,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.01775973614106305,
55
+ "grad_norm": 1.6751399170091914,
56
+ "learning_rate": 1.7721518987341774e-06,
57
+ "loss": 1.6487,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.020296841304072055,
62
+ "grad_norm": 1.6363195765660283,
63
+ "learning_rate": 2.0253164556962026e-06,
64
+ "loss": 1.6116,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.022833946467081062,
69
+ "grad_norm": 1.5794976909544993,
70
+ "learning_rate": 2.278481012658228e-06,
71
+ "loss": 1.5916,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.025371051630090066,
76
+ "grad_norm": 1.6233632992191482,
77
+ "learning_rate": 2.5316455696202535e-06,
78
+ "loss": 1.598,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.027908156793099072,
83
+ "grad_norm": 1.5800661094425872,
84
+ "learning_rate": 2.7848101265822785e-06,
85
+ "loss": 1.5626,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.03044526195610808,
90
+ "grad_norm": 1.6072050143283245,
91
+ "learning_rate": 3.037974683544304e-06,
92
+ "loss": 1.5457,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.03298236711911709,
97
+ "grad_norm": 1.6572306247078625,
98
+ "learning_rate": 3.2911392405063294e-06,
99
+ "loss": 1.5391,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.0355194722821261,
104
+ "grad_norm": 1.586848380490154,
105
+ "learning_rate": 3.544303797468355e-06,
106
+ "loss": 1.5125,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.038056577445135104,
111
+ "grad_norm": 1.638449311664989,
112
+ "learning_rate": 3.7974683544303802e-06,
113
+ "loss": 1.5243,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.04059368260814411,
118
+ "grad_norm": 1.6031920359772533,
119
+ "learning_rate": 4.050632911392405e-06,
120
+ "loss": 1.4856,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.04313078777115312,
125
+ "grad_norm": 1.5967439995800559,
126
+ "learning_rate": 4.303797468354431e-06,
127
+ "loss": 1.5129,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.045667892934162124,
132
+ "grad_norm": 1.6075212497819606,
133
+ "learning_rate": 4.556962025316456e-06,
134
+ "loss": 1.4961,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.04820499809717113,
139
+ "grad_norm": 1.6791238021539772,
140
+ "learning_rate": 4.8101265822784815e-06,
141
+ "loss": 1.4893,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.05074210326018013,
146
+ "grad_norm": 1.6210921331693446,
147
+ "learning_rate": 5.063291139240507e-06,
148
+ "loss": 1.5013,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 0.05327920842318914,
153
+ "grad_norm": 1.7652729374280518,
154
+ "learning_rate": 5.3164556962025316e-06,
155
+ "loss": 1.473,
156
+ "step": 210
157
+ },
158
+ {
159
+ "epoch": 0.055816313586198145,
160
+ "grad_norm": 1.6723244529240142,
161
+ "learning_rate": 5.569620253164557e-06,
162
+ "loss": 1.4791,
163
+ "step": 220
164
+ },
165
+ {
166
+ "epoch": 0.05835341874920715,
167
+ "grad_norm": 1.825326138794735,
168
+ "learning_rate": 5.8227848101265824e-06,
169
+ "loss": 1.4761,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 0.06089052391221616,
174
+ "grad_norm": 1.9131148271572453,
175
+ "learning_rate": 6.075949367088608e-06,
176
+ "loss": 1.4626,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 0.06342762907522517,
181
+ "grad_norm": 1.6613770739809675,
182
+ "learning_rate": 6.329113924050634e-06,
183
+ "loss": 1.4601,
184
+ "step": 250
185
+ },
186
+ {
187
+ "epoch": 0.06596473423823418,
188
+ "grad_norm": 1.6666458237214428,
189
+ "learning_rate": 6.582278481012659e-06,
190
+ "loss": 1.4686,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 0.06850183940124319,
195
+ "grad_norm": 1.5745675069520453,
196
+ "learning_rate": 6.835443037974684e-06,
197
+ "loss": 1.461,
198
+ "step": 270
199
+ },
200
+ {
201
+ "epoch": 0.0710389445642522,
202
+ "grad_norm": 1.6507776778175596,
203
+ "learning_rate": 7.08860759493671e-06,
204
+ "loss": 1.47,
205
+ "step": 280
206
+ },
207
+ {
208
+ "epoch": 0.0735760497272612,
209
+ "grad_norm": 1.6009958375778823,
210
+ "learning_rate": 7.341772151898735e-06,
211
+ "loss": 1.4526,
212
+ "step": 290
213
+ },
214
+ {
215
+ "epoch": 0.07611315489027021,
216
+ "grad_norm": 1.6786912574149853,
217
+ "learning_rate": 7.5949367088607605e-06,
218
+ "loss": 1.4501,
219
+ "step": 300
220
+ },
221
+ {
222
+ "epoch": 0.07865026005327921,
223
+ "grad_norm": 1.6698693144659327,
224
+ "learning_rate": 7.848101265822786e-06,
225
+ "loss": 1.4483,
226
+ "step": 310
227
+ },
228
+ {
229
+ "epoch": 0.08118736521628822,
230
+ "grad_norm": 1.7393580296857223,
231
+ "learning_rate": 8.10126582278481e-06,
232
+ "loss": 1.4252,
233
+ "step": 320
234
+ },
235
+ {
236
+ "epoch": 0.08372447037929723,
237
+ "grad_norm": 1.6124831573952214,
238
+ "learning_rate": 8.354430379746837e-06,
239
+ "loss": 1.4274,
240
+ "step": 330
241
+ },
242
+ {
243
+ "epoch": 0.08626157554230623,
244
+ "grad_norm": 1.6899774259466704,
245
+ "learning_rate": 8.607594936708861e-06,
246
+ "loss": 1.437,
247
+ "step": 340
248
+ },
249
+ {
250
+ "epoch": 0.08879868070531524,
251
+ "grad_norm": 1.6821954539953226,
252
+ "learning_rate": 8.860759493670886e-06,
253
+ "loss": 1.4388,
254
+ "step": 350
255
+ },
256
+ {
257
+ "epoch": 0.09133578586832425,
258
+ "grad_norm": 1.8121412852354848,
259
+ "learning_rate": 9.113924050632912e-06,
260
+ "loss": 1.4151,
261
+ "step": 360
262
+ },
263
+ {
264
+ "epoch": 0.09387289103133326,
265
+ "grad_norm": 1.5407350947949157,
266
+ "learning_rate": 9.367088607594937e-06,
267
+ "loss": 1.4274,
268
+ "step": 370
269
+ },
270
+ {
271
+ "epoch": 0.09640999619434226,
272
+ "grad_norm": 1.7381357929095853,
273
+ "learning_rate": 9.620253164556963e-06,
274
+ "loss": 1.4309,
275
+ "step": 380
276
+ },
277
+ {
278
+ "epoch": 0.09894710135735126,
279
+ "grad_norm": 1.6085237968347799,
280
+ "learning_rate": 9.87341772151899e-06,
281
+ "loss": 1.4173,
282
+ "step": 390
283
+ },
284
+ {
285
+ "epoch": 0.10148420652036026,
286
+ "grad_norm": 1.728407830056737,
287
+ "learning_rate": 9.999950942931784e-06,
288
+ "loss": 1.4312,
289
+ "step": 400
290
+ },
291
+ {
292
+ "epoch": 0.10402131168336927,
293
+ "grad_norm": 1.6972786696047149,
294
+ "learning_rate": 9.999558492161865e-06,
295
+ "loss": 1.422,
296
+ "step": 410
297
+ },
298
+ {
299
+ "epoch": 0.10655841684637828,
300
+ "grad_norm": 1.6297612720977512,
301
+ "learning_rate": 9.998773621425852e-06,
302
+ "loss": 1.3892,
303
+ "step": 420
304
+ },
305
+ {
306
+ "epoch": 0.10909552200938728,
307
+ "grad_norm": 1.7368434280409393,
308
+ "learning_rate": 9.997596392328971e-06,
309
+ "loss": 1.4368,
310
+ "step": 430
311
+ },
312
+ {
313
+ "epoch": 0.11163262717239629,
314
+ "grad_norm": 1.8196387241516612,
315
+ "learning_rate": 9.996026897273024e-06,
316
+ "loss": 1.4129,
317
+ "step": 440
318
+ },
319
+ {
320
+ "epoch": 0.1141697323354053,
321
+ "grad_norm": 1.6083388947957715,
322
+ "learning_rate": 9.994065259449128e-06,
323
+ "loss": 1.4181,
324
+ "step": 450
325
+ },
326
+ {
327
+ "epoch": 0.1167068374984143,
328
+ "grad_norm": 1.7315485017229137,
329
+ "learning_rate": 9.991711632828049e-06,
330
+ "loss": 1.4107,
331
+ "step": 460
332
+ },
333
+ {
334
+ "epoch": 0.11924394266142331,
335
+ "grad_norm": 1.6192259621686464,
336
+ "learning_rate": 9.988966202148115e-06,
337
+ "loss": 1.3933,
338
+ "step": 470
339
+ },
340
+ {
341
+ "epoch": 0.12178104782443232,
342
+ "grad_norm": 1.685661277294985,
343
+ "learning_rate": 9.985829182900717e-06,
344
+ "loss": 1.4305,
345
+ "step": 480
346
+ },
347
+ {
348
+ "epoch": 0.12431815298744132,
349
+ "grad_norm": 1.7673237121898477,
350
+ "learning_rate": 9.982300821313394e-06,
351
+ "loss": 1.407,
352
+ "step": 490
353
+ },
354
+ {
355
+ "epoch": 0.12685525815045035,
356
+ "grad_norm": 1.6729684650970384,
357
+ "learning_rate": 9.978381394330509e-06,
358
+ "loss": 1.3941,
359
+ "step": 500
360
+ },
361
+ {
362
+ "epoch": 0.12939236331345935,
363
+ "grad_norm": 1.6737204711157692,
364
+ "learning_rate": 9.974071209591507e-06,
365
+ "loss": 1.4083,
366
+ "step": 510
367
+ },
368
+ {
369
+ "epoch": 0.13192946847646836,
370
+ "grad_norm": 1.5846450496238496,
371
+ "learning_rate": 9.96937060540677e-06,
372
+ "loss": 1.3913,
373
+ "step": 520
374
+ },
375
+ {
376
+ "epoch": 0.13446657363947737,
377
+ "grad_norm": 1.6440175318683266,
378
+ "learning_rate": 9.964279950731066e-06,
379
+ "loss": 1.4141,
380
+ "step": 530
381
+ },
382
+ {
383
+ "epoch": 0.13700367880248637,
384
+ "grad_norm": 1.5435352480418292,
385
+ "learning_rate": 9.958799645134585e-06,
386
+ "loss": 1.3923,
387
+ "step": 540
388
+ },
389
+ {
390
+ "epoch": 0.13954078396549538,
391
+ "grad_norm": 1.6806917695478834,
392
+ "learning_rate": 9.952930118771576e-06,
393
+ "loss": 1.3882,
394
+ "step": 550
395
+ },
396
+ {
397
+ "epoch": 0.1420778891285044,
398
+ "grad_norm": 1.6991483906725386,
399
+ "learning_rate": 9.946671832346588e-06,
400
+ "loss": 1.3806,
401
+ "step": 560
402
+ },
403
+ {
404
+ "epoch": 0.1446149942915134,
405
+ "grad_norm": 1.6444779930069549,
406
+ "learning_rate": 9.940025277078304e-06,
407
+ "loss": 1.3877,
408
+ "step": 570
409
+ },
410
+ {
411
+ "epoch": 0.1471520994545224,
412
+ "grad_norm": 1.584958906864304,
413
+ "learning_rate": 9.932990974660992e-06,
414
+ "loss": 1.3758,
415
+ "step": 580
416
+ },
417
+ {
418
+ "epoch": 0.1496892046175314,
419
+ "grad_norm": 1.6339337045637337,
420
+ "learning_rate": 9.925569477223549e-06,
421
+ "loss": 1.3942,
422
+ "step": 590
423
+ },
424
+ {
425
+ "epoch": 0.15222630978054041,
426
+ "grad_norm": 1.6782688039697937,
427
+ "learning_rate": 9.917761367286164e-06,
428
+ "loss": 1.3997,
429
+ "step": 600
430
+ },
431
+ {
432
+ "epoch": 0.15476341494354942,
433
+ "grad_norm": 1.722985917307532,
434
+ "learning_rate": 9.909567257714605e-06,
435
+ "loss": 1.3902,
436
+ "step": 610
437
+ },
438
+ {
439
+ "epoch": 0.15730052010655843,
440
+ "grad_norm": 1.515629790408513,
441
+ "learning_rate": 9.9009877916721e-06,
442
+ "loss": 1.3906,
443
+ "step": 620
444
+ },
445
+ {
446
+ "epoch": 0.15983762526956743,
447
+ "grad_norm": 1.6832684084973726,
448
+ "learning_rate": 9.892023642568871e-06,
449
+ "loss": 1.3644,
450
+ "step": 630
451
+ },
452
+ {
453
+ "epoch": 0.16237473043257644,
454
+ "grad_norm": 1.7217857604177804,
455
+ "learning_rate": 9.882675514009262e-06,
456
+ "loss": 1.3673,
457
+ "step": 640
458
+ },
459
+ {
460
+ "epoch": 0.16491183559558545,
461
+ "grad_norm": 1.772784930329774,
462
+ "learning_rate": 9.872944139736523e-06,
463
+ "loss": 1.3751,
464
+ "step": 650
465
+ },
466
+ {
467
+ "epoch": 0.16744894075859446,
468
+ "grad_norm": 1.528731449667675,
469
+ "learning_rate": 9.862830283575215e-06,
470
+ "loss": 1.3678,
471
+ "step": 660
472
+ },
473
+ {
474
+ "epoch": 0.16998604592160346,
475
+ "grad_norm": 1.6156407009731812,
476
+ "learning_rate": 9.852334739371252e-06,
477
+ "loss": 1.3825,
478
+ "step": 670
479
+ },
480
+ {
481
+ "epoch": 0.17252315108461247,
482
+ "grad_norm": 1.6415774929326135,
483
+ "learning_rate": 9.841458330929598e-06,
484
+ "loss": 1.3884,
485
+ "step": 680
486
+ },
487
+ {
488
+ "epoch": 0.17506025624762148,
489
+ "grad_norm": 1.6070221223746397,
490
+ "learning_rate": 9.830201911949604e-06,
491
+ "loss": 1.3934,
492
+ "step": 690
493
+ },
494
+ {
495
+ "epoch": 0.17759736141063048,
496
+ "grad_norm": 1.562454926578275,
497
+ "learning_rate": 9.818566365957996e-06,
498
+ "loss": 1.3645,
499
+ "step": 700
500
+ },
501
+ {
502
+ "epoch": 0.1801344665736395,
503
+ "grad_norm": 1.5996614008577792,
504
+ "learning_rate": 9.80655260623953e-06,
505
+ "loss": 1.3708,
506
+ "step": 710
507
+ },
508
+ {
509
+ "epoch": 0.1826715717366485,
510
+ "grad_norm": 1.5048794279696338,
511
+ "learning_rate": 9.794161575765311e-06,
512
+ "loss": 1.3749,
513
+ "step": 720
514
+ },
515
+ {
516
+ "epoch": 0.1852086768996575,
517
+ "grad_norm": 1.5935516523984996,
518
+ "learning_rate": 9.78139424711877e-06,
519
+ "loss": 1.3886,
520
+ "step": 730
521
+ },
522
+ {
523
+ "epoch": 0.1877457820626665,
524
+ "grad_norm": 1.5282445861981415,
525
+ "learning_rate": 9.76825162241933e-06,
526
+ "loss": 1.373,
527
+ "step": 740
528
+ },
529
+ {
530
+ "epoch": 0.19028288722567552,
531
+ "grad_norm": 1.6358363561782086,
532
+ "learning_rate": 9.754734733243749e-06,
533
+ "loss": 1.3742,
534
+ "step": 750
535
+ },
536
+ {
537
+ "epoch": 0.19281999238868452,
538
+ "grad_norm": 1.587601691095452,
539
+ "learning_rate": 9.740844640545151e-06,
540
+ "loss": 1.3603,
541
+ "step": 760
542
+ },
543
+ {
544
+ "epoch": 0.19535709755169353,
545
+ "grad_norm": 1.5280980736395107,
546
+ "learning_rate": 9.726582434569744e-06,
547
+ "loss": 1.3636,
548
+ "step": 770
549
+ },
550
+ {
551
+ "epoch": 0.1978942027147025,
552
+ "grad_norm": 1.5821827900533842,
553
+ "learning_rate": 9.711949234771258e-06,
554
+ "loss": 1.3536,
555
+ "step": 780
556
+ },
557
+ {
558
+ "epoch": 0.20043130787771152,
559
+ "grad_norm": 1.6354511380141648,
560
+ "learning_rate": 9.696946189723067e-06,
561
+ "loss": 1.3777,
562
+ "step": 790
563
+ },
564
+ {
565
+ "epoch": 0.20296841304072052,
566
+ "grad_norm": 1.4961728532518945,
567
+ "learning_rate": 9.681574477028039e-06,
568
+ "loss": 1.3555,
569
+ "step": 800
570
+ },
571
+ {
572
+ "epoch": 0.20550551820372953,
573
+ "grad_norm": 1.6165039622149184,
574
+ "learning_rate": 9.66583530322611e-06,
575
+ "loss": 1.3736,
576
+ "step": 810
577
+ },
578
+ {
579
+ "epoch": 0.20804262336673854,
580
+ "grad_norm": 1.6085071421673924,
581
+ "learning_rate": 9.649729903699575e-06,
582
+ "loss": 1.3685,
583
+ "step": 820
584
+ },
585
+ {
586
+ "epoch": 0.21057972852974755,
587
+ "grad_norm": 1.674024959469941,
588
+ "learning_rate": 9.633259542576127e-06,
589
+ "loss": 1.3516,
590
+ "step": 830
591
+ },
592
+ {
593
+ "epoch": 0.21311683369275655,
594
+ "grad_norm": 1.5457350813422102,
595
+ "learning_rate": 9.61642551262963e-06,
596
+ "loss": 1.3433,
597
+ "step": 840
598
+ },
599
+ {
600
+ "epoch": 0.21565393885576556,
601
+ "grad_norm": 1.5638603110160445,
602
+ "learning_rate": 9.599229135178651e-06,
603
+ "loss": 1.3596,
604
+ "step": 850
605
+ },
606
+ {
607
+ "epoch": 0.21819104401877457,
608
+ "grad_norm": 1.5845605847496684,
609
+ "learning_rate": 9.581671759982747e-06,
610
+ "loss": 1.3821,
611
+ "step": 860
612
+ },
613
+ {
614
+ "epoch": 0.22072814918178357,
615
+ "grad_norm": 1.56321358587459,
616
+ "learning_rate": 9.563754765136522e-06,
617
+ "loss": 1.3568,
618
+ "step": 870
619
+ },
620
+ {
621
+ "epoch": 0.22326525434479258,
622
+ "grad_norm": 1.621089242536098,
623
+ "learning_rate": 9.545479556961457e-06,
624
+ "loss": 1.3614,
625
+ "step": 880
626
+ },
627
+ {
628
+ "epoch": 0.2258023595078016,
629
+ "grad_norm": 1.5746598904044478,
630
+ "learning_rate": 9.526847569895529e-06,
631
+ "loss": 1.3536,
632
+ "step": 890
633
+ },
634
+ {
635
+ "epoch": 0.2283394646708106,
636
+ "grad_norm": 1.632144120218129,
637
+ "learning_rate": 9.507860266380625e-06,
638
+ "loss": 1.3521,
639
+ "step": 900
640
+ },
641
+ {
642
+ "epoch": 0.2308765698338196,
643
+ "grad_norm": 1.6660492103415234,
644
+ "learning_rate": 9.488519136747741e-06,
645
+ "loss": 1.3455,
646
+ "step": 910
647
+ },
648
+ {
649
+ "epoch": 0.2334136749968286,
650
+ "grad_norm": 1.6307872469664786,
651
+ "learning_rate": 9.468825699100013e-06,
652
+ "loss": 1.3388,
653
+ "step": 920
654
+ },
655
+ {
656
+ "epoch": 0.23595078015983761,
657
+ "grad_norm": 1.51760811186189,
658
+ "learning_rate": 9.448781499193563e-06,
659
+ "loss": 1.36,
660
+ "step": 930
661
+ },
662
+ {
663
+ "epoch": 0.23848788532284662,
664
+ "grad_norm": 1.6298958079571104,
665
+ "learning_rate": 9.428388110316165e-06,
666
+ "loss": 1.346,
667
+ "step": 940
668
+ },
669
+ {
670
+ "epoch": 0.24102499048585563,
671
+ "grad_norm": 1.6241168589647443,
672
+ "learning_rate": 9.407647133163754e-06,
673
+ "loss": 1.3565,
674
+ "step": 950
675
+ },
676
+ {
677
+ "epoch": 0.24356209564886463,
678
+ "grad_norm": 1.6330870068463266,
679
+ "learning_rate": 9.386560195714796e-06,
680
+ "loss": 1.3539,
681
+ "step": 960
682
+ },
683
+ {
684
+ "epoch": 0.24609920081187364,
685
+ "grad_norm": 1.5846187793083721,
686
+ "learning_rate": 9.365128953102495e-06,
687
+ "loss": 1.3443,
688
+ "step": 970
689
+ },
690
+ {
691
+ "epoch": 0.24863630597488265,
692
+ "grad_norm": 1.5816319458789425,
693
+ "learning_rate": 9.343355087484893e-06,
694
+ "loss": 1.3449,
695
+ "step": 980
696
+ },
697
+ {
698
+ "epoch": 0.25117341113789166,
699
+ "grad_norm": 1.608667389007063,
700
+ "learning_rate": 9.321240307912818e-06,
701
+ "loss": 1.3503,
702
+ "step": 990
703
+ },
704
+ {
705
+ "epoch": 0.2537105163009007,
706
+ "grad_norm": 1.535736158897923,
707
+ "learning_rate": 9.298786350195758e-06,
708
+ "loss": 1.3504,
709
+ "step": 1000
710
+ },
711
+ {
712
+ "epoch": 0.25624762146390967,
713
+ "grad_norm": 1.6105502703548435,
714
+ "learning_rate": 9.275994976765602e-06,
715
+ "loss": 1.3512,
716
+ "step": 1010
717
+ },
718
+ {
719
+ "epoch": 0.2587847266269187,
720
+ "grad_norm": 1.457234439212148,
721
+ "learning_rate": 9.252867976538312e-06,
722
+ "loss": 1.3447,
723
+ "step": 1020
724
+ },
725
+ {
726
+ "epoch": 0.2613218317899277,
727
+ "grad_norm": 1.632312084639862,
728
+ "learning_rate": 9.22940716477351e-06,
729
+ "loss": 1.3451,
730
+ "step": 1030
731
+ },
732
+ {
733
+ "epoch": 0.2638589369529367,
734
+ "grad_norm": 1.5657163405769847,
735
+ "learning_rate": 9.205614382931986e-06,
736
+ "loss": 1.3678,
737
+ "step": 1040
738
+ },
739
+ {
740
+ "epoch": 0.2663960421159457,
741
+ "grad_norm": 1.523325498659843,
742
+ "learning_rate": 9.181491498531179e-06,
743
+ "loss": 1.355,
744
+ "step": 1050
745
+ },
746
+ {
747
+ "epoch": 0.26893314727895473,
748
+ "grad_norm": 1.5647021825494114,
749
+ "learning_rate": 9.157040404998572e-06,
750
+ "loss": 1.3455,
751
+ "step": 1060
752
+ },
753
+ {
754
+ "epoch": 0.2714702524419637,
755
+ "grad_norm": 1.581907280598391,
756
+ "learning_rate": 9.132263021523096e-06,
757
+ "loss": 1.353,
758
+ "step": 1070
759
+ },
760
+ {
761
+ "epoch": 0.27400735760497275,
762
+ "grad_norm": 1.4861566014453274,
763
+ "learning_rate": 9.107161292904476e-06,
764
+ "loss": 1.3428,
765
+ "step": 1080
766
+ },
767
+ {
768
+ "epoch": 0.2765444627679817,
769
+ "grad_norm": 1.6256210181495103,
770
+ "learning_rate": 9.081737189400583e-06,
771
+ "loss": 1.3421,
772
+ "step": 1090
773
+ },
774
+ {
775
+ "epoch": 0.27908156793099076,
776
+ "grad_norm": 1.4876360574590954,
777
+ "learning_rate": 9.0559927065728e-06,
778
+ "loss": 1.3377,
779
+ "step": 1100
780
+ },
781
+ {
782
+ "epoch": 0.28161867309399974,
783
+ "grad_norm": 1.5204275847901962,
784
+ "learning_rate": 9.029929865129375e-06,
785
+ "loss": 1.349,
786
+ "step": 1110
787
+ },
788
+ {
789
+ "epoch": 0.2841557782570088,
790
+ "grad_norm": 1.5624633516357405,
791
+ "learning_rate": 9.003550710766813e-06,
792
+ "loss": 1.3552,
793
+ "step": 1120
794
+ },
795
+ {
796
+ "epoch": 0.28669288342001775,
797
+ "grad_norm": 1.5591567540085947,
798
+ "learning_rate": 8.97685731400932e-06,
799
+ "loss": 1.3209,
800
+ "step": 1130
801
+ },
802
+ {
803
+ "epoch": 0.2892299885830268,
804
+ "grad_norm": 1.5373317845285133,
805
+ "learning_rate": 8.949851770046272e-06,
806
+ "loss": 1.3267,
807
+ "step": 1140
808
+ },
809
+ {
810
+ "epoch": 0.29176709374603577,
811
+ "grad_norm": 1.5556061129094692,
812
+ "learning_rate": 8.922536198567772e-06,
813
+ "loss": 1.3379,
814
+ "step": 1150
815
+ },
816
+ {
817
+ "epoch": 0.2943041989090448,
818
+ "grad_norm": 1.971486780664198,
819
+ "learning_rate": 8.894912743598269e-06,
820
+ "loss": 1.3272,
821
+ "step": 1160
822
+ },
823
+ {
824
+ "epoch": 0.2968413040720538,
825
+ "grad_norm": 1.5365700226491938,
826
+ "learning_rate": 8.866983573328267e-06,
827
+ "loss": 1.333,
828
+ "step": 1170
829
+ },
830
+ {
831
+ "epoch": 0.2993784092350628,
832
+ "grad_norm": 1.6217713070921793,
833
+ "learning_rate": 8.83875087994415e-06,
834
+ "loss": 1.3497,
835
+ "step": 1180
836
+ },
837
+ {
838
+ "epoch": 0.3019155143980718,
839
+ "grad_norm": 1.4917017043884344,
840
+ "learning_rate": 8.810216879456114e-06,
841
+ "loss": 1.3355,
842
+ "step": 1190
843
+ },
844
+ {
845
+ "epoch": 0.30445261956108083,
846
+ "grad_norm": 1.5427563058731948,
847
+ "learning_rate": 8.781383811524222e-06,
848
+ "loss": 1.3339,
849
+ "step": 1200
850
+ },
851
+ {
852
+ "epoch": 0.3069897247240898,
853
+ "grad_norm": 1.5666645778409243,
854
+ "learning_rate": 8.752253939282622e-06,
855
+ "loss": 1.332,
856
+ "step": 1210
857
+ },
858
+ {
859
+ "epoch": 0.30952682988709884,
860
+ "grad_norm": 1.5940427272465527,
861
+ "learning_rate": 8.722829549161904e-06,
862
+ "loss": 1.3411,
863
+ "step": 1220
864
+ },
865
+ {
866
+ "epoch": 0.3120639350501078,
867
+ "grad_norm": 1.569355522659196,
868
+ "learning_rate": 8.69311295070964e-06,
869
+ "loss": 1.321,
870
+ "step": 1230
871
+ },
872
+ {
873
+ "epoch": 0.31460104021311686,
874
+ "grad_norm": 1.5823744419831982,
875
+ "learning_rate": 8.663106476409107e-06,
876
+ "loss": 1.3511,
877
+ "step": 1240
878
+ },
879
+ {
880
+ "epoch": 0.31713814537612584,
881
+ "grad_norm": 1.5626340370876246,
882
+ "learning_rate": 8.632812481496195e-06,
883
+ "loss": 1.3491,
884
+ "step": 1250
885
+ },
886
+ {
887
+ "epoch": 0.31967525053913487,
888
+ "grad_norm": 1.6216546055767536,
889
+ "learning_rate": 8.602233343774562e-06,
890
+ "loss": 1.3294,
891
+ "step": 1260
892
+ },
893
+ {
894
+ "epoch": 0.32221235570214385,
895
+ "grad_norm": 1.4885399811487754,
896
+ "learning_rate": 8.571371463428986e-06,
897
+ "loss": 1.3419,
898
+ "step": 1270
899
+ },
900
+ {
901
+ "epoch": 0.3247494608651529,
902
+ "grad_norm": 1.597124872589071,
903
+ "learning_rate": 8.540229262836974e-06,
904
+ "loss": 1.3245,
905
+ "step": 1280
906
+ },
907
+ {
908
+ "epoch": 0.32728656602816186,
909
+ "grad_norm": 1.5069638761813242,
910
+ "learning_rate": 8.508809186378631e-06,
911
+ "loss": 1.3357,
912
+ "step": 1290
913
+ },
914
+ {
915
+ "epoch": 0.3298236711911709,
916
+ "grad_norm": 1.5496475251999724,
917
+ "learning_rate": 8.477113700244788e-06,
918
+ "loss": 1.3297,
919
+ "step": 1300
920
+ },
921
+ {
922
+ "epoch": 0.3323607763541799,
923
+ "grad_norm": 1.5177410295586948,
924
+ "learning_rate": 8.445145292243446e-06,
925
+ "loss": 1.3361,
926
+ "step": 1310
927
+ },
928
+ {
929
+ "epoch": 0.3348978815171889,
930
+ "grad_norm": 1.4375424317665,
931
+ "learning_rate": 8.412906471604489e-06,
932
+ "loss": 1.3365,
933
+ "step": 1320
934
+ },
935
+ {
936
+ "epoch": 0.3374349866801979,
937
+ "grad_norm": 1.4733958562961815,
938
+ "learning_rate": 8.380399768782742e-06,
939
+ "loss": 1.3364,
940
+ "step": 1330
941
+ },
942
+ {
943
+ "epoch": 0.3399720918432069,
944
+ "grad_norm": 1.5665888162471464,
945
+ "learning_rate": 8.347627735259344e-06,
946
+ "loss": 1.3572,
947
+ "step": 1340
948
+ },
949
+ {
950
+ "epoch": 0.3425091970062159,
951
+ "grad_norm": 1.5175787042273947,
952
+ "learning_rate": 8.314592943341494e-06,
953
+ "loss": 1.311,
954
+ "step": 1350
955
+ },
956
+ {
957
+ "epoch": 0.34504630216922494,
958
+ "grad_norm": 1.5210307965368668,
959
+ "learning_rate": 8.281297985960538e-06,
960
+ "loss": 1.3261,
961
+ "step": 1360
962
+ },
963
+ {
964
+ "epoch": 0.3475834073322339,
965
+ "grad_norm": 1.5365431443148119,
966
+ "learning_rate": 8.247745476468449e-06,
967
+ "loss": 1.3433,
968
+ "step": 1370
969
+ },
970
+ {
971
+ "epoch": 0.35012051249524295,
972
+ "grad_norm": 1.5548012069585933,
973
+ "learning_rate": 8.213938048432697e-06,
974
+ "loss": 1.3134,
975
+ "step": 1380
976
+ },
977
+ {
978
+ "epoch": 0.35265761765825193,
979
+ "grad_norm": 1.4642811591908687,
980
+ "learning_rate": 8.179878355429556e-06,
981
+ "loss": 1.3159,
982
+ "step": 1390
983
+ },
984
+ {
985
+ "epoch": 0.35519472282126097,
986
+ "grad_norm": 1.6713134353309254,
987
+ "learning_rate": 8.145569070835799e-06,
988
+ "loss": 1.3285,
989
+ "step": 1400
990
+ },
991
+ {
992
+ "epoch": 0.35773182798426995,
993
+ "grad_norm": 1.5444628338197106,
994
+ "learning_rate": 8.111012887618882e-06,
995
+ "loss": 1.344,
996
+ "step": 1410
997
+ },
998
+ {
999
+ "epoch": 0.360268933147279,
1000
+ "grad_norm": 1.5042040298049457,
1001
+ "learning_rate": 8.076212518125556e-06,
1002
+ "loss": 1.3217,
1003
+ "step": 1420
1004
+ },
1005
+ {
1006
+ "epoch": 0.36280603831028796,
1007
+ "grad_norm": 1.5827643194628298,
1008
+ "learning_rate": 8.041170693868985e-06,
1009
+ "loss": 1.3284,
1010
+ "step": 1430
1011
+ },
1012
+ {
1013
+ "epoch": 0.365343143473297,
1014
+ "grad_norm": 1.4314485322723574,
1015
+ "learning_rate": 8.005890165314334e-06,
1016
+ "loss": 1.3188,
1017
+ "step": 1440
1018
+ },
1019
+ {
1020
+ "epoch": 0.367880248636306,
1021
+ "grad_norm": 1.5452457890288078,
1022
+ "learning_rate": 7.970373701662892e-06,
1023
+ "loss": 1.3123,
1024
+ "step": 1450
1025
+ },
1026
+ {
1027
+ "epoch": 0.370417353799315,
1028
+ "grad_norm": 1.5944938106930338,
1029
+ "learning_rate": 7.934624090634713e-06,
1030
+ "loss": 1.3131,
1031
+ "step": 1460
1032
+ },
1033
+ {
1034
+ "epoch": 0.372954458962324,
1035
+ "grad_norm": 1.5553727991379855,
1036
+ "learning_rate": 7.8986441382498e-06,
1037
+ "loss": 1.3318,
1038
+ "step": 1470
1039
+ },
1040
+ {
1041
+ "epoch": 0.375491564125333,
1042
+ "grad_norm": 1.5196578480754726,
1043
+ "learning_rate": 7.862436668607865e-06,
1044
+ "loss": 1.3164,
1045
+ "step": 1480
1046
+ },
1047
+ {
1048
+ "epoch": 0.378028669288342,
1049
+ "grad_norm": 1.5354385242535227,
1050
+ "learning_rate": 7.826004523666661e-06,
1051
+ "loss": 1.3292,
1052
+ "step": 1490
1053
+ },
1054
+ {
1055
+ "epoch": 0.38056577445135104,
1056
+ "grad_norm": 1.5449910825994637,
1057
+ "learning_rate": 7.78935056301891e-06,
1058
+ "loss": 1.3272,
1059
+ "step": 1500
1060
+ },
1061
+ {
1062
+ "epoch": 0.38310287961436,
1063
+ "grad_norm": 1.4946907973724173,
1064
+ "learning_rate": 7.752477663667854e-06,
1065
+ "loss": 1.3391,
1066
+ "step": 1510
1067
+ },
1068
+ {
1069
+ "epoch": 0.38563998477736905,
1070
+ "grad_norm": 1.5791940161814702,
1071
+ "learning_rate": 7.715388719801437e-06,
1072
+ "loss": 1.3392,
1073
+ "step": 1520
1074
+ },
1075
+ {
1076
+ "epoch": 0.38817708994037803,
1077
+ "grad_norm": 1.4567702862839176,
1078
+ "learning_rate": 7.67808664256514e-06,
1079
+ "loss": 1.2971,
1080
+ "step": 1530
1081
+ },
1082
+ {
1083
+ "epoch": 0.39071419510338706,
1084
+ "grad_norm": 1.4605769814867744,
1085
+ "learning_rate": 7.640574359833472e-06,
1086
+ "loss": 1.3148,
1087
+ "step": 1540
1088
+ },
1089
+ {
1090
+ "epoch": 0.39325130026639604,
1091
+ "grad_norm": 1.5566796816874888,
1092
+ "learning_rate": 7.6028548159801685e-06,
1093
+ "loss": 1.3315,
1094
+ "step": 1550
1095
+ },
1096
+ {
1097
+ "epoch": 0.395788405429405,
1098
+ "grad_norm": 1.5768032029757384,
1099
+ "learning_rate": 7.564930971647087e-06,
1100
+ "loss": 1.3238,
1101
+ "step": 1560
1102
+ },
1103
+ {
1104
+ "epoch": 0.39832551059241406,
1105
+ "grad_norm": 1.5702550171255043,
1106
+ "learning_rate": 7.52680580351181e-06,
1107
+ "loss": 1.3175,
1108
+ "step": 1570
1109
+ },
1110
+ {
1111
+ "epoch": 0.40086261575542304,
1112
+ "grad_norm": 1.5687466837527182,
1113
+ "learning_rate": 7.488482304054019e-06,
1114
+ "loss": 1.3104,
1115
+ "step": 1580
1116
+ },
1117
+ {
1118
+ "epoch": 0.40339972091843207,
1119
+ "grad_norm": 1.5897550883645912,
1120
+ "learning_rate": 7.449963481320599e-06,
1121
+ "loss": 1.316,
1122
+ "step": 1590
1123
+ },
1124
+ {
1125
+ "epoch": 0.40593682608144105,
1126
+ "grad_norm": 1.5236147067965886,
1127
+ "learning_rate": 7.411252358689541e-06,
1128
+ "loss": 1.3273,
1129
+ "step": 1600
1130
+ },
1131
+ {
1132
+ "epoch": 0.4084739312444501,
1133
+ "grad_norm": 1.5469446528938424,
1134
+ "learning_rate": 7.372351974632634e-06,
1135
+ "loss": 1.3119,
1136
+ "step": 1610
1137
+ },
1138
+ {
1139
+ "epoch": 0.41101103640745906,
1140
+ "grad_norm": 1.4722026799112722,
1141
+ "learning_rate": 7.333265382476971e-06,
1142
+ "loss": 1.3151,
1143
+ "step": 1620
1144
+ },
1145
+ {
1146
+ "epoch": 0.4135481415704681,
1147
+ "grad_norm": 1.5178886141824586,
1148
+ "learning_rate": 7.293995650165287e-06,
1149
+ "loss": 1.3245,
1150
+ "step": 1630
1151
+ },
1152
+ {
1153
+ "epoch": 0.4160852467334771,
1154
+ "grad_norm": 1.5308435376939995,
1155
+ "learning_rate": 7.2545458600151615e-06,
1156
+ "loss": 1.3317,
1157
+ "step": 1640
1158
+ },
1159
+ {
1160
+ "epoch": 0.4186223518964861,
1161
+ "grad_norm": 1.5091424984828243,
1162
+ "learning_rate": 7.214919108477077e-06,
1163
+ "loss": 1.3044,
1164
+ "step": 1650
1165
+ },
1166
+ {
1167
+ "epoch": 0.4211594570594951,
1168
+ "grad_norm": 1.457202507709852,
1169
+ "learning_rate": 7.175118505891385e-06,
1170
+ "loss": 1.3339,
1171
+ "step": 1660
1172
+ },
1173
+ {
1174
+ "epoch": 0.4236965622225041,
1175
+ "grad_norm": 1.530896247556501,
1176
+ "learning_rate": 7.135147176244158e-06,
1177
+ "loss": 1.3044,
1178
+ "step": 1670
1179
+ },
1180
+ {
1181
+ "epoch": 0.4262336673855131,
1182
+ "grad_norm": 1.5274463812149695,
1183
+ "learning_rate": 7.0950082569219955e-06,
1184
+ "loss": 1.3048,
1185
+ "step": 1680
1186
+ },
1187
+ {
1188
+ "epoch": 0.42877077254852214,
1189
+ "grad_norm": 1.507428973101804,
1190
+ "learning_rate": 7.054704898465772e-06,
1191
+ "loss": 1.3069,
1192
+ "step": 1690
1193
+ },
1194
+ {
1195
+ "epoch": 0.4313078777115311,
1196
+ "grad_norm": 1.5716469315983397,
1197
+ "learning_rate": 7.0142402643233346e-06,
1198
+ "loss": 1.3136,
1199
+ "step": 1700
1200
+ },
1201
+ {
1202
+ "epoch": 0.43384498287454015,
1203
+ "grad_norm": 1.4220881687524514,
1204
+ "learning_rate": 6.973617530601209e-06,
1205
+ "loss": 1.3165,
1206
+ "step": 1710
1207
+ },
1208
+ {
1209
+ "epoch": 0.43638208803754913,
1210
+ "grad_norm": 1.5926945403384438,
1211
+ "learning_rate": 6.932839885815304e-06,
1212
+ "loss": 1.3301,
1213
+ "step": 1720
1214
+ },
1215
+ {
1216
+ "epoch": 0.43891919320055817,
1217
+ "grad_norm": 1.4527595611730801,
1218
+ "learning_rate": 6.891910530640642e-06,
1219
+ "loss": 1.3145,
1220
+ "step": 1730
1221
+ },
1222
+ {
1223
+ "epoch": 0.44145629836356715,
1224
+ "grad_norm": 1.5069254389998272,
1225
+ "learning_rate": 6.850832677660134e-06,
1226
+ "loss": 1.3139,
1227
+ "step": 1740
1228
+ },
1229
+ {
1230
+ "epoch": 0.4439934035265762,
1231
+ "grad_norm": 1.4587280578384394,
1232
+ "learning_rate": 6.809609551112419e-06,
1233
+ "loss": 1.3085,
1234
+ "step": 1750
1235
+ },
1236
+ {
1237
+ "epoch": 0.44653050868958516,
1238
+ "grad_norm": 1.5122830472595903,
1239
+ "learning_rate": 6.768244386638793e-06,
1240
+ "loss": 1.3158,
1241
+ "step": 1760
1242
+ },
1243
+ {
1244
+ "epoch": 0.4490676138525942,
1245
+ "grad_norm": 1.4912245201929943,
1246
+ "learning_rate": 6.726740431029243e-06,
1247
+ "loss": 1.3167,
1248
+ "step": 1770
1249
+ },
1250
+ {
1251
+ "epoch": 0.4516047190156032,
1252
+ "grad_norm": 1.5574941259720791,
1253
+ "learning_rate": 6.685100941967596e-06,
1254
+ "loss": 1.3118,
1255
+ "step": 1780
1256
+ },
1257
+ {
1258
+ "epoch": 0.4541418241786122,
1259
+ "grad_norm": 1.4994130740882026,
1260
+ "learning_rate": 6.643329187775827e-06,
1261
+ "loss": 1.307,
1262
+ "step": 1790
1263
+ },
1264
+ {
1265
+ "epoch": 0.4566789293416212,
1266
+ "grad_norm": 1.5791237950971593,
1267
+ "learning_rate": 6.601428447157525e-06,
1268
+ "loss": 1.3086,
1269
+ "step": 1800
1270
+ },
1271
+ {
1272
+ "epoch": 0.4592160345046302,
1273
+ "grad_norm": 1.5319564794342408,
1274
+ "learning_rate": 6.559402008940539e-06,
1275
+ "loss": 1.3025,
1276
+ "step": 1810
1277
+ },
1278
+ {
1279
+ "epoch": 0.4617531396676392,
1280
+ "grad_norm": 1.5560620624811086,
1281
+ "learning_rate": 6.517253171818844e-06,
1282
+ "loss": 1.3146,
1283
+ "step": 1820
1284
+ },
1285
+ {
1286
+ "epoch": 0.46429024483064824,
1287
+ "grad_norm": 1.5762189341956727,
1288
+ "learning_rate": 6.474985244093613e-06,
1289
+ "loss": 1.307,
1290
+ "step": 1830
1291
+ },
1292
+ {
1293
+ "epoch": 0.4668273499936572,
1294
+ "grad_norm": 1.568824162809672,
1295
+ "learning_rate": 6.432601543413552e-06,
1296
+ "loss": 1.2996,
1297
+ "step": 1840
1298
+ },
1299
+ {
1300
+ "epoch": 0.46936445515666625,
1301
+ "grad_norm": 1.461712822890638,
1302
+ "learning_rate": 6.390105396514497e-06,
1303
+ "loss": 1.3013,
1304
+ "step": 1850
1305
+ },
1306
+ {
1307
+ "epoch": 0.47190156031967523,
1308
+ "grad_norm": 1.4727912142252813,
1309
+ "learning_rate": 6.347500138958285e-06,
1310
+ "loss": 1.3086,
1311
+ "step": 1860
1312
+ },
1313
+ {
1314
+ "epoch": 0.47443866548268426,
1315
+ "grad_norm": 1.4842630358439066,
1316
+ "learning_rate": 6.304789114870953e-06,
1317
+ "loss": 1.3121,
1318
+ "step": 1870
1319
+ },
1320
+ {
1321
+ "epoch": 0.47697577064569324,
1322
+ "grad_norm": 1.5147058669468259,
1323
+ "learning_rate": 6.261975676680252e-06,
1324
+ "loss": 1.3109,
1325
+ "step": 1880
1326
+ },
1327
+ {
1328
+ "epoch": 0.4795128758087023,
1329
+ "grad_norm": 1.5879467208142688,
1330
+ "learning_rate": 6.219063184852509e-06,
1331
+ "loss": 1.3057,
1332
+ "step": 1890
1333
+ },
1334
+ {
1335
+ "epoch": 0.48204998097171126,
1336
+ "grad_norm": 1.4622817504218393,
1337
+ "learning_rate": 6.176055007628859e-06,
1338
+ "loss": 1.2978,
1339
+ "step": 1900
1340
+ },
1341
+ {
1342
+ "epoch": 0.4845870861347203,
1343
+ "grad_norm": 1.4651555100721898,
1344
+ "learning_rate": 6.132954520760882e-06,
1345
+ "loss": 1.2936,
1346
+ "step": 1910
1347
+ },
1348
+ {
1349
+ "epoch": 0.48712419129772927,
1350
+ "grad_norm": 1.4242680820832143,
1351
+ "learning_rate": 6.089765107245616e-06,
1352
+ "loss": 1.311,
1353
+ "step": 1920
1354
+ },
1355
+ {
1356
+ "epoch": 0.4896612964607383,
1357
+ "grad_norm": 1.4510357489546541,
1358
+ "learning_rate": 6.046490157060041e-06,
1359
+ "loss": 1.2917,
1360
+ "step": 1930
1361
+ },
1362
+ {
1363
+ "epoch": 0.4921984016237473,
1364
+ "grad_norm": 1.5389362630585735,
1365
+ "learning_rate": 6.003133066894987e-06,
1366
+ "loss": 1.3173,
1367
+ "step": 1940
1368
+ },
1369
+ {
1370
+ "epoch": 0.4947355067867563,
1371
+ "grad_norm": 1.5597918071325416,
1372
+ "learning_rate": 5.959697239888525e-06,
1373
+ "loss": 1.2978,
1374
+ "step": 1950
1375
+ },
1376
+ {
1377
+ "epoch": 0.4972726119497653,
1378
+ "grad_norm": 1.481163850939429,
1379
+ "learning_rate": 5.916186085358858e-06,
1380
+ "loss": 1.3125,
1381
+ "step": 1960
1382
+ },
1383
+ {
1384
+ "epoch": 0.49980971711277433,
1385
+ "grad_norm": 1.5172196100773179,
1386
+ "learning_rate": 5.872603018536713e-06,
1387
+ "loss": 1.3035,
1388
+ "step": 1970
1389
+ },
1390
+ {
1391
+ "epoch": 0.5023468222757833,
1392
+ "grad_norm": 1.520182324070576,
1393
+ "learning_rate": 5.828951460297277e-06,
1394
+ "loss": 1.2943,
1395
+ "step": 1980
1396
+ },
1397
+ {
1398
+ "epoch": 0.5048839274387923,
1399
+ "grad_norm": 1.374020881318329,
1400
+ "learning_rate": 5.785234836891697e-06,
1401
+ "loss": 1.3019,
1402
+ "step": 1990
1403
+ },
1404
+ {
1405
+ "epoch": 0.5074210326018014,
1406
+ "grad_norm": 1.609172422257604,
1407
+ "learning_rate": 5.741456579678141e-06,
1408
+ "loss": 1.2929,
1409
+ "step": 2000
1410
+ },
1411
+ {
1412
+ "epoch": 0.5099581377648104,
1413
+ "grad_norm": 1.451921659432821,
1414
+ "learning_rate": 5.697620124852472e-06,
1415
+ "loss": 1.2868,
1416
+ "step": 2010
1417
+ },
1418
+ {
1419
+ "epoch": 0.5124952429278193,
1420
+ "grad_norm": 1.531522896512812,
1421
+ "learning_rate": 5.65372891317854e-06,
1422
+ "loss": 1.2875,
1423
+ "step": 2020
1424
+ },
1425
+ {
1426
+ "epoch": 0.5150323480908283,
1427
+ "grad_norm": 1.443649652350418,
1428
+ "learning_rate": 5.6097863897181075e-06,
1429
+ "loss": 1.2963,
1430
+ "step": 2030
1431
+ },
1432
+ {
1433
+ "epoch": 0.5175694532538374,
1434
+ "grad_norm": 1.5591743411035264,
1435
+ "learning_rate": 5.565796003560447e-06,
1436
+ "loss": 1.3121,
1437
+ "step": 2040
1438
+ },
1439
+ {
1440
+ "epoch": 0.5201065584168464,
1441
+ "grad_norm": 1.428229068798765,
1442
+ "learning_rate": 5.521761207551622e-06,
1443
+ "loss": 1.2979,
1444
+ "step": 2050
1445
+ },
1446
+ {
1447
+ "epoch": 0.5226436635798554,
1448
+ "grad_norm": 1.5164415865949983,
1449
+ "learning_rate": 5.47768545802346e-06,
1450
+ "loss": 1.3107,
1451
+ "step": 2060
1452
+ },
1453
+ {
1454
+ "epoch": 0.5251807687428643,
1455
+ "grad_norm": 1.5292361648846982,
1456
+ "learning_rate": 5.433572214522275e-06,
1457
+ "loss": 1.2952,
1458
+ "step": 2070
1459
+ },
1460
+ {
1461
+ "epoch": 0.5277178739058734,
1462
+ "grad_norm": 1.4451039662214231,
1463
+ "learning_rate": 5.389424939537311e-06,
1464
+ "loss": 1.2922,
1465
+ "step": 2080
1466
+ },
1467
+ {
1468
+ "epoch": 0.5302549790688824,
1469
+ "grad_norm": 1.558654012548035,
1470
+ "learning_rate": 5.345247098228977e-06,
1471
+ "loss": 1.2942,
1472
+ "step": 2090
1473
+ },
1474
+ {
1475
+ "epoch": 0.5327920842318914,
1476
+ "grad_norm": 1.5393309134302235,
1477
+ "learning_rate": 5.301042158156866e-06,
1478
+ "loss": 1.2898,
1479
+ "step": 2100
1480
+ },
1481
+ {
1482
+ "epoch": 0.5353291893949004,
1483
+ "grad_norm": 1.5206662969722375,
1484
+ "learning_rate": 5.256813589007571e-06,
1485
+ "loss": 1.2967,
1486
+ "step": 2110
1487
+ },
1488
+ {
1489
+ "epoch": 0.5378662945579095,
1490
+ "grad_norm": 1.5295277898061372,
1491
+ "learning_rate": 5.212564862322355e-06,
1492
+ "loss": 1.2987,
1493
+ "step": 2120
1494
+ },
1495
+ {
1496
+ "epoch": 0.5404033997209184,
1497
+ "grad_norm": 1.5121887795702076,
1498
+ "learning_rate": 5.168299451224665e-06,
1499
+ "loss": 1.2859,
1500
+ "step": 2130
1501
+ },
1502
+ {
1503
+ "epoch": 0.5429405048839274,
1504
+ "grad_norm": 1.5405224763949017,
1505
+ "learning_rate": 5.124020830147525e-06,
1506
+ "loss": 1.2942,
1507
+ "step": 2140
1508
+ },
1509
+ {
1510
+ "epoch": 0.5454776100469364,
1511
+ "grad_norm": 1.5241647102261355,
1512
+ "learning_rate": 5.079732474560821e-06,
1513
+ "loss": 1.2967,
1514
+ "step": 2150
1515
+ },
1516
+ {
1517
+ "epoch": 0.5480147152099455,
1518
+ "grad_norm": 1.5740459163455902,
1519
+ "learning_rate": 5.035437860698508e-06,
1520
+ "loss": 1.2792,
1521
+ "step": 2160
1522
+ },
1523
+ {
1524
+ "epoch": 0.5505518203729545,
1525
+ "grad_norm": 1.455514390960437,
1526
+ "learning_rate": 4.991140465285762e-06,
1527
+ "loss": 1.2722,
1528
+ "step": 2170
1529
+ },
1530
+ {
1531
+ "epoch": 0.5530889255359634,
1532
+ "grad_norm": 1.4543563727275153,
1533
+ "learning_rate": 4.94684376526608e-06,
1534
+ "loss": 1.294,
1535
+ "step": 2180
1536
+ },
1537
+ {
1538
+ "epoch": 0.5556260306989724,
1539
+ "grad_norm": 1.415880887469612,
1540
+ "learning_rate": 4.902551237528387e-06,
1541
+ "loss": 1.2898,
1542
+ "step": 2190
1543
+ },
1544
+ {
1545
+ "epoch": 0.5581631358619815,
1546
+ "grad_norm": 1.5027054686198038,
1547
+ "learning_rate": 4.858266358634109e-06,
1548
+ "loss": 1.2943,
1549
+ "step": 2200
1550
+ },
1551
+ {
1552
+ "epoch": 0.5607002410249905,
1553
+ "grad_norm": 1.495415983271707,
1554
+ "learning_rate": 4.813992604544319e-06,
1555
+ "loss": 1.309,
1556
+ "step": 2210
1557
+ },
1558
+ {
1559
+ "epoch": 0.5632373461879995,
1560
+ "grad_norm": 1.5256997169566149,
1561
+ "learning_rate": 4.769733450346885e-06,
1562
+ "loss": 1.2941,
1563
+ "step": 2220
1564
+ },
1565
+ {
1566
+ "epoch": 0.5657744513510085,
1567
+ "grad_norm": 1.4207029137255274,
1568
+ "learning_rate": 4.725492369983721e-06,
1569
+ "loss": 1.2808,
1570
+ "step": 2230
1571
+ },
1572
+ {
1573
+ "epoch": 0.5683115565140175,
1574
+ "grad_norm": 1.5127789303300487,
1575
+ "learning_rate": 4.6812728359781064e-06,
1576
+ "loss": 1.2886,
1577
+ "step": 2240
1578
+ },
1579
+ {
1580
+ "epoch": 0.5708486616770265,
1581
+ "grad_norm": 1.4480660719145084,
1582
+ "learning_rate": 4.637078319162127e-06,
1583
+ "loss": 1.2848,
1584
+ "step": 2250
1585
+ },
1586
+ {
1587
+ "epoch": 0.5733857668400355,
1588
+ "grad_norm": 1.4818074524822986,
1589
+ "learning_rate": 4.592912288404251e-06,
1590
+ "loss": 1.2747,
1591
+ "step": 2260
1592
+ },
1593
+ {
1594
+ "epoch": 0.5759228720030445,
1595
+ "grad_norm": 1.496021447098999,
1596
+ "learning_rate": 4.5487782103370445e-06,
1597
+ "loss": 1.2889,
1598
+ "step": 2270
1599
+ },
1600
+ {
1601
+ "epoch": 0.5784599771660536,
1602
+ "grad_norm": 1.4726400774082267,
1603
+ "learning_rate": 4.504679549085077e-06,
1604
+ "loss": 1.2956,
1605
+ "step": 2280
1606
+ },
1607
+ {
1608
+ "epoch": 0.5809970823290626,
1609
+ "grad_norm": 1.492109044123467,
1610
+ "learning_rate": 4.460619765993025e-06,
1611
+ "loss": 1.2974,
1612
+ "step": 2290
1613
+ },
1614
+ {
1615
+ "epoch": 0.5835341874920715,
1616
+ "grad_norm": 1.4567515467141523,
1617
+ "learning_rate": 4.416602319353974e-06,
1618
+ "loss": 1.29,
1619
+ "step": 2300
1620
+ },
1621
+ {
1622
+ "epoch": 0.5860712926550805,
1623
+ "grad_norm": 1.460535915347314,
1624
+ "learning_rate": 4.3726306641379915e-06,
1625
+ "loss": 1.2745,
1626
+ "step": 2310
1627
+ },
1628
+ {
1629
+ "epoch": 0.5886083978180896,
1630
+ "grad_norm": 1.4651576736560898,
1631
+ "learning_rate": 4.328708251720924e-06,
1632
+ "loss": 1.2739,
1633
+ "step": 2320
1634
+ },
1635
+ {
1636
+ "epoch": 0.5911455029810986,
1637
+ "grad_norm": 1.6196158147206026,
1638
+ "learning_rate": 4.2848385296135165e-06,
1639
+ "loss": 1.3101,
1640
+ "step": 2330
1641
+ },
1642
+ {
1643
+ "epoch": 0.5936826081441076,
1644
+ "grad_norm": 1.527439804056797,
1645
+ "learning_rate": 4.241024941190792e-06,
1646
+ "loss": 1.2771,
1647
+ "step": 2340
1648
+ },
1649
+ {
1650
+ "epoch": 0.5962197133071165,
1651
+ "grad_norm": 1.4872645401772542,
1652
+ "learning_rate": 4.197270925421796e-06,
1653
+ "loss": 1.2877,
1654
+ "step": 2350
1655
+ },
1656
+ {
1657
+ "epoch": 0.5987568184701256,
1658
+ "grad_norm": 1.4908027336325684,
1659
+ "learning_rate": 4.153579916599659e-06,
1660
+ "loss": 1.2969,
1661
+ "step": 2360
1662
+ },
1663
+ {
1664
+ "epoch": 0.6012939236331346,
1665
+ "grad_norm": 1.370441167203172,
1666
+ "learning_rate": 4.109955344072036e-06,
1667
+ "loss": 1.2745,
1668
+ "step": 2370
1669
+ },
1670
+ {
1671
+ "epoch": 0.6038310287961436,
1672
+ "grad_norm": 1.457801692594122,
1673
+ "learning_rate": 4.066400631971938e-06,
1674
+ "loss": 1.2714,
1675
+ "step": 2380
1676
+ },
1677
+ {
1678
+ "epoch": 0.6063681339591526,
1679
+ "grad_norm": 1.5047248748403204,
1680
+ "learning_rate": 4.022919198948966e-06,
1681
+ "loss": 1.2759,
1682
+ "step": 2390
1683
+ },
1684
+ {
1685
+ "epoch": 0.6089052391221617,
1686
+ "grad_norm": 1.5232259549425642,
1687
+ "learning_rate": 3.979514457900982e-06,
1688
+ "loss": 1.2845,
1689
+ "step": 2400
1690
+ },
1691
+ {
1692
+ "epoch": 0.6114423442851706,
1693
+ "grad_norm": 1.4170452963382303,
1694
+ "learning_rate": 3.936189815706219e-06,
1695
+ "loss": 1.2833,
1696
+ "step": 2410
1697
+ },
1698
+ {
1699
+ "epoch": 0.6139794494481796,
1700
+ "grad_norm": 1.5010818180720833,
1701
+ "learning_rate": 3.8929486729558775e-06,
1702
+ "loss": 1.2941,
1703
+ "step": 2420
1704
+ },
1705
+ {
1706
+ "epoch": 0.6165165546111886,
1707
+ "grad_norm": 1.4420347497785075,
1708
+ "learning_rate": 3.849794423687212e-06,
1709
+ "loss": 1.2775,
1710
+ "step": 2430
1711
+ },
1712
+ {
1713
+ "epoch": 0.6190536597741977,
1714
+ "grad_norm": 1.520468191298721,
1715
+ "learning_rate": 3.8067304551171247e-06,
1716
+ "loss": 1.2627,
1717
+ "step": 2440
1718
+ },
1719
+ {
1720
+ "epoch": 0.6215907649372067,
1721
+ "grad_norm": 1.4753704862458017,
1722
+ "learning_rate": 3.7637601473763035e-06,
1723
+ "loss": 1.284,
1724
+ "step": 2450
1725
+ },
1726
+ {
1727
+ "epoch": 0.6241278701002156,
1728
+ "grad_norm": 1.469877746697786,
1729
+ "learning_rate": 3.7208868732439145e-06,
1730
+ "loss": 1.2927,
1731
+ "step": 2460
1732
+ },
1733
+ {
1734
+ "epoch": 0.6266649752632246,
1735
+ "grad_norm": 1.4601548141707599,
1736
+ "learning_rate": 3.6781139978828606e-06,
1737
+ "loss": 1.2947,
1738
+ "step": 2470
1739
+ },
1740
+ {
1741
+ "epoch": 0.6292020804262337,
1742
+ "grad_norm": 1.5092438879342172,
1743
+ "learning_rate": 3.6354448785756558e-06,
1744
+ "loss": 1.2843,
1745
+ "step": 2480
1746
+ },
1747
+ {
1748
+ "epoch": 0.6317391855892427,
1749
+ "grad_norm": 1.4368007055488876,
1750
+ "learning_rate": 3.592882864460905e-06,
1751
+ "loss": 1.265,
1752
+ "step": 2490
1753
+ },
1754
+ {
1755
+ "epoch": 0.6342762907522517,
1756
+ "grad_norm": 1.4672055312297339,
1757
+ "learning_rate": 3.5504312962704245e-06,
1758
+ "loss": 1.2709,
1759
+ "step": 2500
1760
+ },
1761
+ {
1762
+ "epoch": 0.6368133959152606,
1763
+ "grad_norm": 1.4995451462382032,
1764
+ "learning_rate": 3.5080935060670345e-06,
1765
+ "loss": 1.2679,
1766
+ "step": 2510
1767
+ },
1768
+ {
1769
+ "epoch": 0.6393505010782697,
1770
+ "grad_norm": 1.458116276283539,
1771
+ "learning_rate": 3.465872816983008e-06,
1772
+ "loss": 1.2821,
1773
+ "step": 2520
1774
+ },
1775
+ {
1776
+ "epoch": 0.6418876062412787,
1777
+ "grad_norm": 1.4447640379158275,
1778
+ "learning_rate": 3.4237725429592507e-06,
1779
+ "loss": 1.2865,
1780
+ "step": 2530
1781
+ },
1782
+ {
1783
+ "epoch": 0.6444247114042877,
1784
+ "grad_norm": 1.3965736731366891,
1785
+ "learning_rate": 3.3817959884851735e-06,
1786
+ "loss": 1.2698,
1787
+ "step": 2540
1788
+ },
1789
+ {
1790
+ "epoch": 0.6469618165672967,
1791
+ "grad_norm": 1.4648194884238146,
1792
+ "learning_rate": 3.3399464483393272e-06,
1793
+ "loss": 1.291,
1794
+ "step": 2550
1795
+ },
1796
+ {
1797
+ "epoch": 0.6494989217303058,
1798
+ "grad_norm": 1.4271493727093771,
1799
+ "learning_rate": 3.298227207330792e-06,
1800
+ "loss": 1.2765,
1801
+ "step": 2560
1802
+ },
1803
+ {
1804
+ "epoch": 0.6520360268933147,
1805
+ "grad_norm": 1.5962462881292958,
1806
+ "learning_rate": 3.256641540041346e-06,
1807
+ "loss": 1.2905,
1808
+ "step": 2570
1809
+ },
1810
+ {
1811
+ "epoch": 0.6545731320563237,
1812
+ "grad_norm": 1.4501719681830862,
1813
+ "learning_rate": 3.2151927105684423e-06,
1814
+ "loss": 1.298,
1815
+ "step": 2580
1816
+ },
1817
+ {
1818
+ "epoch": 0.6571102372193327,
1819
+ "grad_norm": 1.5186349976521718,
1820
+ "learning_rate": 3.1738839722690085e-06,
1821
+ "loss": 1.2742,
1822
+ "step": 2590
1823
+ },
1824
+ {
1825
+ "epoch": 0.6596473423823418,
1826
+ "grad_norm": 1.3901740398219145,
1827
+ "learning_rate": 3.1327185675040907e-06,
1828
+ "loss": 1.2769,
1829
+ "step": 2600
1830
+ },
1831
+ {
1832
+ "epoch": 0.6621844475453508,
1833
+ "grad_norm": 1.4618375024699428,
1834
+ "learning_rate": 3.0916997273843454e-06,
1835
+ "loss": 1.2938,
1836
+ "step": 2610
1837
+ },
1838
+ {
1839
+ "epoch": 0.6647215527083598,
1840
+ "grad_norm": 1.4675982361039484,
1841
+ "learning_rate": 3.0508306715164416e-06,
1842
+ "loss": 1.2913,
1843
+ "step": 2620
1844
+ },
1845
+ {
1846
+ "epoch": 0.6672586578713687,
1847
+ "grad_norm": 1.5086185778550512,
1848
+ "learning_rate": 3.0101146077503386e-06,
1849
+ "loss": 1.2777,
1850
+ "step": 2630
1851
+ },
1852
+ {
1853
+ "epoch": 0.6697957630343778,
1854
+ "grad_norm": 1.4573487737483761,
1855
+ "learning_rate": 2.9695547319275093e-06,
1856
+ "loss": 1.2633,
1857
+ "step": 2640
1858
+ },
1859
+ {
1860
+ "epoch": 0.6723328681973868,
1861
+ "grad_norm": 1.43323809832072,
1862
+ "learning_rate": 2.9291542276300866e-06,
1863
+ "loss": 1.289,
1864
+ "step": 2650
1865
+ },
1866
+ {
1867
+ "epoch": 0.6748699733603958,
1868
+ "grad_norm": 1.420082813628849,
1869
+ "learning_rate": 2.8889162659309832e-06,
1870
+ "loss": 1.2729,
1871
+ "step": 2660
1872
+ },
1873
+ {
1874
+ "epoch": 0.6774070785234048,
1875
+ "grad_norm": 1.424990219399345,
1876
+ "learning_rate": 2.848844005145004e-06,
1877
+ "loss": 1.3024,
1878
+ "step": 2670
1879
+ },
1880
+ {
1881
+ "epoch": 0.6799441836864138,
1882
+ "grad_norm": 1.4395745448115305,
1883
+ "learning_rate": 2.808940590580922e-06,
1884
+ "loss": 1.2845,
1885
+ "step": 2680
1886
+ },
1887
+ {
1888
+ "epoch": 0.6824812888494228,
1889
+ "grad_norm": 1.4802086998925903,
1890
+ "learning_rate": 2.769209154294623e-06,
1891
+ "loss": 1.2844,
1892
+ "step": 2690
1893
+ },
1894
+ {
1895
+ "epoch": 0.6850183940124318,
1896
+ "grad_norm": 1.491623196795251,
1897
+ "learning_rate": 2.7296528148432565e-06,
1898
+ "loss": 1.2683,
1899
+ "step": 2700
1900
+ },
1901
+ {
1902
+ "epoch": 0.6875554991754408,
1903
+ "grad_norm": 1.416764375906272,
1904
+ "learning_rate": 2.690274677040462e-06,
1905
+ "loss": 1.2776,
1906
+ "step": 2710
1907
+ },
1908
+ {
1909
+ "epoch": 0.6900926043384499,
1910
+ "grad_norm": 1.519033593874162,
1911
+ "learning_rate": 2.6510778317126597e-06,
1912
+ "loss": 1.2807,
1913
+ "step": 2720
1914
+ },
1915
+ {
1916
+ "epoch": 0.6926297095014589,
1917
+ "grad_norm": 1.3894691132515595,
1918
+ "learning_rate": 2.6120653554564624e-06,
1919
+ "loss": 1.2777,
1920
+ "step": 2730
1921
+ },
1922
+ {
1923
+ "epoch": 0.6951668146644678,
1924
+ "grad_norm": 1.4049713206074572,
1925
+ "learning_rate": 2.573240310397187e-06,
1926
+ "loss": 1.2736,
1927
+ "step": 2740
1928
+ },
1929
+ {
1930
+ "epoch": 0.6977039198274768,
1931
+ "grad_norm": 1.4357642101900112,
1932
+ "learning_rate": 2.5346057439484923e-06,
1933
+ "loss": 1.2803,
1934
+ "step": 2750
1935
+ },
1936
+ {
1937
+ "epoch": 0.7002410249904859,
1938
+ "grad_norm": 1.490167340198777,
1939
+ "learning_rate": 2.4961646885732034e-06,
1940
+ "loss": 1.2744,
1941
+ "step": 2760
1942
+ },
1943
+ {
1944
+ "epoch": 0.7027781301534949,
1945
+ "grad_norm": 1.4179312953545702,
1946
+ "learning_rate": 2.4579201615452812e-06,
1947
+ "loss": 1.2842,
1948
+ "step": 2770
1949
+ },
1950
+ {
1951
+ "epoch": 0.7053152353165039,
1952
+ "grad_norm": 1.6140649717523825,
1953
+ "learning_rate": 2.4198751647129896e-06,
1954
+ "loss": 1.2963,
1955
+ "step": 2780
1956
+ },
1957
+ {
1958
+ "epoch": 0.7078523404795128,
1959
+ "grad_norm": 1.530468810042779,
1960
+ "learning_rate": 2.3820326842632894e-06,
1961
+ "loss": 1.2637,
1962
+ "step": 2790
1963
+ },
1964
+ {
1965
+ "epoch": 0.7103894456425219,
1966
+ "grad_norm": 1.412588711043796,
1967
+ "learning_rate": 2.344395690487441e-06,
1968
+ "loss": 1.2856,
1969
+ "step": 2800
1970
+ },
1971
+ {
1972
+ "epoch": 0.7129265508055309,
1973
+ "grad_norm": 1.5447254908338892,
1974
+ "learning_rate": 2.3069671375478645e-06,
1975
+ "loss": 1.2848,
1976
+ "step": 2810
1977
+ },
1978
+ {
1979
+ "epoch": 0.7154636559685399,
1980
+ "grad_norm": 1.43691808431636,
1981
+ "learning_rate": 2.2697499632462695e-06,
1982
+ "loss": 1.2536,
1983
+ "step": 2820
1984
+ },
1985
+ {
1986
+ "epoch": 0.7180007611315489,
1987
+ "grad_norm": 1.5560428170621574,
1988
+ "learning_rate": 2.2327470887930595e-06,
1989
+ "loss": 1.3015,
1990
+ "step": 2830
1991
+ },
1992
+ {
1993
+ "epoch": 0.720537866294558,
1994
+ "grad_norm": 1.450374747082515,
1995
+ "learning_rate": 2.195961418578041e-06,
1996
+ "loss": 1.2744,
1997
+ "step": 2840
1998
+ },
1999
+ {
2000
+ "epoch": 0.7230749714575669,
2001
+ "grad_norm": 1.484538648746269,
2002
+ "learning_rate": 2.159395839942464e-06,
2003
+ "loss": 1.2664,
2004
+ "step": 2850
2005
+ },
2006
+ {
2007
+ "epoch": 0.7256120766205759,
2008
+ "grad_norm": 1.3953379506558543,
2009
+ "learning_rate": 2.1230532229523865e-06,
2010
+ "loss": 1.2489,
2011
+ "step": 2860
2012
+ },
2013
+ {
2014
+ "epoch": 0.7281491817835849,
2015
+ "grad_norm": 1.4415654155573785,
2016
+ "learning_rate": 2.086936420173399e-06,
2017
+ "loss": 1.2719,
2018
+ "step": 2870
2019
+ },
2020
+ {
2021
+ "epoch": 0.730686286946594,
2022
+ "grad_norm": 1.4271516629005172,
2023
+ "learning_rate": 2.051048266446727e-06,
2024
+ "loss": 1.2652,
2025
+ "step": 2880
2026
+ },
2027
+ {
2028
+ "epoch": 0.733223392109603,
2029
+ "grad_norm": 1.4951992832082914,
2030
+ "learning_rate": 2.0153915786667203e-06,
2031
+ "loss": 1.26,
2032
+ "step": 2890
2033
+ },
2034
+ {
2035
+ "epoch": 0.735760497272612,
2036
+ "grad_norm": 1.4351479751585414,
2037
+ "learning_rate": 1.9799691555597555e-06,
2038
+ "loss": 1.2881,
2039
+ "step": 2900
2040
+ },
2041
+ {
2042
+ "epoch": 0.7382976024356209,
2043
+ "grad_norm": 1.474899241565124,
2044
+ "learning_rate": 1.9447837774645513e-06,
2045
+ "loss": 1.2702,
2046
+ "step": 2910
2047
+ },
2048
+ {
2049
+ "epoch": 0.74083470759863,
2050
+ "grad_norm": 1.4426835070499822,
2051
+ "learning_rate": 1.9098382061139503e-06,
2052
+ "loss": 1.2699,
2053
+ "step": 2920
2054
+ },
2055
+ {
2056
+ "epoch": 0.743371812761639,
2057
+ "grad_norm": 1.4876818985570295,
2058
+ "learning_rate": 1.8751351844181414e-06,
2059
+ "loss": 1.2612,
2060
+ "step": 2930
2061
+ },
2062
+ {
2063
+ "epoch": 0.745908917924648,
2064
+ "grad_norm": 1.4360645410392319,
2065
+ "learning_rate": 1.8406774362493662e-06,
2066
+ "loss": 1.2754,
2067
+ "step": 2940
2068
+ },
2069
+ {
2070
+ "epoch": 0.748446023087657,
2071
+ "grad_norm": 1.4473888665732064,
2072
+ "learning_rate": 1.8064676662281206e-06,
2073
+ "loss": 1.2902,
2074
+ "step": 2950
2075
+ },
2076
+ {
2077
+ "epoch": 0.750983128250666,
2078
+ "grad_norm": 1.4434612838312966,
2079
+ "learning_rate": 1.7725085595108682e-06,
2080
+ "loss": 1.273,
2081
+ "step": 2960
2082
+ },
2083
+ {
2084
+ "epoch": 0.753520233413675,
2085
+ "grad_norm": 1.558136105535075,
2086
+ "learning_rate": 1.7388027815792725e-06,
2087
+ "loss": 1.2787,
2088
+ "step": 2970
2089
+ },
2090
+ {
2091
+ "epoch": 0.756057338576684,
2092
+ "grad_norm": 1.4724878594646564,
2093
+ "learning_rate": 1.705352978030993e-06,
2094
+ "loss": 1.2627,
2095
+ "step": 2980
2096
+ },
2097
+ {
2098
+ "epoch": 0.758594443739693,
2099
+ "grad_norm": 1.4768497018650097,
2100
+ "learning_rate": 1.672161774372022e-06,
2101
+ "loss": 1.2911,
2102
+ "step": 2990
2103
+ },
2104
+ {
2105
+ "epoch": 0.7611315489027021,
2106
+ "grad_norm": 1.4598692131173956,
2107
+ "learning_rate": 1.639231775810602e-06,
2108
+ "loss": 1.2907,
2109
+ "step": 3000
2110
+ },
2111
+ {
2112
+ "epoch": 0.763668654065711,
2113
+ "grad_norm": 1.3971487709781405,
2114
+ "learning_rate": 1.6065655670527546e-06,
2115
+ "loss": 1.2632,
2116
+ "step": 3010
2117
+ },
2118
+ {
2119
+ "epoch": 0.76620575922872,
2120
+ "grad_norm": 1.4196228285690422,
2121
+ "learning_rate": 1.574165712099392e-06,
2122
+ "loss": 1.2542,
2123
+ "step": 3020
2124
+ },
2125
+ {
2126
+ "epoch": 0.768742864391729,
2127
+ "grad_norm": 1.4395590200787511,
2128
+ "learning_rate": 1.542034754045067e-06,
2129
+ "loss": 1.2693,
2130
+ "step": 3030
2131
+ },
2132
+ {
2133
+ "epoch": 0.7712799695547381,
2134
+ "grad_norm": 1.4538143237649903,
2135
+ "learning_rate": 1.5101752148783705e-06,
2136
+ "loss": 1.2728,
2137
+ "step": 3040
2138
+ },
2139
+ {
2140
+ "epoch": 0.7738170747177471,
2141
+ "grad_norm": 1.4483981816763403,
2142
+ "learning_rate": 1.4785895952839735e-06,
2143
+ "loss": 1.2671,
2144
+ "step": 3050
2145
+ },
2146
+ {
2147
+ "epoch": 0.7763541798807561,
2148
+ "grad_norm": 1.5335192207213328,
2149
+ "learning_rate": 1.447280374446346e-06,
2150
+ "loss": 1.2778,
2151
+ "step": 3060
2152
+ },
2153
+ {
2154
+ "epoch": 0.778891285043765,
2155
+ "grad_norm": 1.4504666284348766,
2156
+ "learning_rate": 1.4162500098551608e-06,
2157
+ "loss": 1.276,
2158
+ "step": 3070
2159
+ },
2160
+ {
2161
+ "epoch": 0.7814283902067741,
2162
+ "grad_norm": 1.454412830474016,
2163
+ "learning_rate": 1.385500937112415e-06,
2164
+ "loss": 1.2804,
2165
+ "step": 3080
2166
+ },
2167
+ {
2168
+ "epoch": 0.7839654953697831,
2169
+ "grad_norm": 1.462536001446098,
2170
+ "learning_rate": 1.3550355697412386e-06,
2171
+ "loss": 1.2586,
2172
+ "step": 3090
2173
+ },
2174
+ {
2175
+ "epoch": 0.7865026005327921,
2176
+ "grad_norm": 1.4861860594882876,
2177
+ "learning_rate": 1.3248562989964719e-06,
2178
+ "loss": 1.2843,
2179
+ "step": 3100
2180
+ },
2181
+ {
2182
+ "epoch": 0.7890397056958011,
2183
+ "grad_norm": 1.391241218546658,
2184
+ "learning_rate": 1.2949654936769622e-06,
2185
+ "loss": 1.2723,
2186
+ "step": 3110
2187
+ },
2188
+ {
2189
+ "epoch": 0.79157681085881,
2190
+ "grad_norm": 1.412674356321388,
2191
+ "learning_rate": 1.2653654999396436e-06,
2192
+ "loss": 1.2621,
2193
+ "step": 3120
2194
+ },
2195
+ {
2196
+ "epoch": 0.7941139160218191,
2197
+ "grad_norm": 1.406341007739084,
2198
+ "learning_rate": 1.2360586411153747e-06,
2199
+ "loss": 1.2897,
2200
+ "step": 3130
2201
+ },
2202
+ {
2203
+ "epoch": 0.7966510211848281,
2204
+ "grad_norm": 1.4125498017483746,
2205
+ "learning_rate": 1.2070472175265857e-06,
2206
+ "loss": 1.2657,
2207
+ "step": 3140
2208
+ },
2209
+ {
2210
+ "epoch": 0.7991881263478371,
2211
+ "grad_norm": 1.575395352386111,
2212
+ "learning_rate": 1.1783335063067286e-06,
2213
+ "loss": 1.2974,
2214
+ "step": 3150
2215
+ },
2216
+ {
2217
+ "epoch": 0.8017252315108461,
2218
+ "grad_norm": 1.4632409776646316,
2219
+ "learning_rate": 1.1499197612215269e-06,
2220
+ "loss": 1.2914,
2221
+ "step": 3160
2222
+ },
2223
+ {
2224
+ "epoch": 0.8042623366738552,
2225
+ "grad_norm": 1.420307782085356,
2226
+ "learning_rate": 1.1218082124920903e-06,
2227
+ "loss": 1.2583,
2228
+ "step": 3170
2229
+ },
2230
+ {
2231
+ "epoch": 0.8067994418368641,
2232
+ "grad_norm": 1.4073518626370982,
2233
+ "learning_rate": 1.0940010666198575e-06,
2234
+ "loss": 1.2588,
2235
+ "step": 3180
2236
+ },
2237
+ {
2238
+ "epoch": 0.8093365469998731,
2239
+ "grad_norm": 1.427712685491864,
2240
+ "learning_rate": 1.0665005062134015e-06,
2241
+ "loss": 1.2641,
2242
+ "step": 3190
2243
+ },
2244
+ {
2245
+ "epoch": 0.8118736521628821,
2246
+ "grad_norm": 1.4042233353051128,
2247
+ "learning_rate": 1.0393086898171234e-06,
2248
+ "loss": 1.2623,
2249
+ "step": 3200
2250
+ },
2251
+ {
2252
+ "epoch": 0.8144107573258912,
2253
+ "grad_norm": 1.4353551061219325,
2254
+ "learning_rate": 1.0124277517418196e-06,
2255
+ "loss": 1.2701,
2256
+ "step": 3210
2257
+ },
2258
+ {
2259
+ "epoch": 0.8169478624889002,
2260
+ "grad_norm": 1.4714738106408498,
2261
+ "learning_rate": 9.858598018971599e-07,
2262
+ "loss": 1.2665,
2263
+ "step": 3220
2264
+ },
2265
+ {
2266
+ "epoch": 0.8194849676519091,
2267
+ "grad_norm": 1.3867710691517015,
2268
+ "learning_rate": 9.596069256260792e-07,
2269
+ "loss": 1.2811,
2270
+ "step": 3230
2271
+ },
2272
+ {
2273
+ "epoch": 0.8220220728149181,
2274
+ "grad_norm": 1.5556697110120234,
2275
+ "learning_rate": 9.336711835410972e-07,
2276
+ "loss": 1.2577,
2277
+ "step": 3240
2278
+ },
2279
+ {
2280
+ "epoch": 0.8245591779779272,
2281
+ "grad_norm": 1.4677232808017586,
2282
+ "learning_rate": 9.080546113625738e-07,
2283
+ "loss": 1.2675,
2284
+ "step": 3250
2285
+ },
2286
+ {
2287
+ "epoch": 0.8270962831409362,
2288
+ "grad_norm": 1.4009076826572764,
2289
+ "learning_rate": 8.827592197589341e-07,
2290
+ "loss": 1.2573,
2291
+ "step": 3260
2292
+ },
2293
+ {
2294
+ "epoch": 0.8296333883039452,
2295
+ "grad_norm": 1.3584163410682717,
2296
+ "learning_rate": 8.577869941888389e-07,
2297
+ "loss": 1.2654,
2298
+ "step": 3270
2299
+ },
2300
+ {
2301
+ "epoch": 0.8321704934669542,
2302
+ "grad_norm": 1.4763004523041792,
2303
+ "learning_rate": 8.331398947453512e-07,
2304
+ "loss": 1.271,
2305
+ "step": 3280
2306
+ },
2307
+ {
2308
+ "epoch": 0.8347075986299632,
2309
+ "grad_norm": 1.432107775038367,
2310
+ "learning_rate": 8.08819856002081e-07,
2311
+ "loss": 1.2771,
2312
+ "step": 3290
2313
+ },
2314
+ {
2315
+ "epoch": 0.8372447037929722,
2316
+ "grad_norm": 1.4636493219573536,
2317
+ "learning_rate": 7.848287868613441e-07,
2318
+ "loss": 1.2511,
2319
+ "step": 3300
2320
+ },
2321
+ {
2322
+ "epoch": 0.8397818089559812,
2323
+ "grad_norm": 1.501456048501624,
2324
+ "learning_rate": 7.611685704043281e-07,
2325
+ "loss": 1.2724,
2326
+ "step": 3310
2327
+ },
2328
+ {
2329
+ "epoch": 0.8423189141189902,
2330
+ "grad_norm": 1.4533194309629769,
2331
+ "learning_rate": 7.378410637432848e-07,
2332
+ "loss": 1.2761,
2333
+ "step": 3320
2334
+ },
2335
+ {
2336
+ "epoch": 0.8448560192819993,
2337
+ "grad_norm": 1.4930040288043631,
2338
+ "learning_rate": 7.148480978757694e-07,
2339
+ "loss": 1.2808,
2340
+ "step": 3330
2341
+ },
2342
+ {
2343
+ "epoch": 0.8473931244450083,
2344
+ "grad_norm": 1.4327631888495864,
2345
+ "learning_rate": 6.921914775409211e-07,
2346
+ "loss": 1.2764,
2347
+ "step": 3340
2348
+ },
2349
+ {
2350
+ "epoch": 0.8499302296080172,
2351
+ "grad_norm": 1.4066505744498654,
2352
+ "learning_rate": 6.698729810778065e-07,
2353
+ "loss": 1.2724,
2354
+ "step": 3350
2355
+ },
2356
+ {
2357
+ "epoch": 0.8524673347710262,
2358
+ "grad_norm": 1.4214214237910756,
2359
+ "learning_rate": 6.478943602858373e-07,
2360
+ "loss": 1.2703,
2361
+ "step": 3360
2362
+ },
2363
+ {
2364
+ "epoch": 0.8550044399340353,
2365
+ "grad_norm": 1.4609797404161982,
2366
+ "learning_rate": 6.262573402872707e-07,
2367
+ "loss": 1.2702,
2368
+ "step": 3370
2369
+ },
2370
+ {
2371
+ "epoch": 0.8575415450970443,
2372
+ "grad_norm": 1.4426076897314533,
2373
+ "learning_rate": 6.04963619391799e-07,
2374
+ "loss": 1.2652,
2375
+ "step": 3380
2376
+ },
2377
+ {
2378
+ "epoch": 0.8600786502600533,
2379
+ "grad_norm": 1.4557782632700174,
2380
+ "learning_rate": 5.840148689632536e-07,
2381
+ "loss": 1.2628,
2382
+ "step": 3390
2383
+ },
2384
+ {
2385
+ "epoch": 0.8626157554230622,
2386
+ "grad_norm": 1.4465949605683495,
2387
+ "learning_rate": 5.634127332884143e-07,
2388
+ "loss": 1.2649,
2389
+ "step": 3400
2390
+ },
2391
+ {
2392
+ "epoch": 0.8651528605860713,
2393
+ "grad_norm": 1.4543385042228827,
2394
+ "learning_rate": 5.431588294479479e-07,
2395
+ "loss": 1.2863,
2396
+ "step": 3410
2397
+ },
2398
+ {
2399
+ "epoch": 0.8676899657490803,
2400
+ "grad_norm": 1.4211990179028964,
2401
+ "learning_rate": 5.232547471894839e-07,
2402
+ "loss": 1.2603,
2403
+ "step": 3420
2404
+ },
2405
+ {
2406
+ "epoch": 0.8702270709120893,
2407
+ "grad_norm": 1.4970252757505178,
2408
+ "learning_rate": 5.037020488028322e-07,
2409
+ "loss": 1.2659,
2410
+ "step": 3430
2411
+ },
2412
+ {
2413
+ "epoch": 0.8727641760750983,
2414
+ "grad_norm": 1.476846612856639,
2415
+ "learning_rate": 4.845022689973567e-07,
2416
+ "loss": 1.2622,
2417
+ "step": 3440
2418
+ },
2419
+ {
2420
+ "epoch": 0.8753012812381074,
2421
+ "grad_norm": 1.3975933791175674,
2422
+ "learning_rate": 4.656569147815171e-07,
2423
+ "loss": 1.2675,
2424
+ "step": 3450
2425
+ },
2426
+ {
2427
+ "epoch": 0.8778383864011163,
2428
+ "grad_norm": 1.4066115466115592,
2429
+ "learning_rate": 4.471674653445801e-07,
2430
+ "loss": 1.2657,
2431
+ "step": 3460
2432
+ },
2433
+ {
2434
+ "epoch": 0.8803754915641253,
2435
+ "grad_norm": 1.4093052515025426,
2436
+ "learning_rate": 4.290353719405199e-07,
2437
+ "loss": 1.2622,
2438
+ "step": 3470
2439
+ },
2440
+ {
2441
+ "epoch": 0.8829125967271343,
2442
+ "grad_norm": 1.517434872609148,
2443
+ "learning_rate": 4.1126205777410054e-07,
2444
+ "loss": 1.2658,
2445
+ "step": 3480
2446
+ },
2447
+ {
2448
+ "epoch": 0.8854497018901434,
2449
+ "grad_norm": 1.3671982309013966,
2450
+ "learning_rate": 3.938489178891769e-07,
2451
+ "loss": 1.26,
2452
+ "step": 3490
2453
+ },
2454
+ {
2455
+ "epoch": 0.8879868070531524,
2456
+ "grad_norm": 1.3848746120915914,
2457
+ "learning_rate": 3.767973190591906e-07,
2458
+ "loss": 1.252,
2459
+ "step": 3500
2460
+ },
2461
+ {
2462
+ "epoch": 0.8905239122161613,
2463
+ "grad_norm": 1.404335518132526,
2464
+ "learning_rate": 3.6010859967988975e-07,
2465
+ "loss": 1.2684,
2466
+ "step": 3510
2467
+ },
2468
+ {
2469
+ "epoch": 0.8930610173791703,
2470
+ "grad_norm": 1.4696908362694405,
2471
+ "learning_rate": 3.437840696642797e-07,
2472
+ "loss": 1.28,
2473
+ "step": 3520
2474
+ },
2475
+ {
2476
+ "epoch": 0.8955981225421794,
2477
+ "grad_norm": 1.4394982066957633,
2478
+ "learning_rate": 3.2782501033980897e-07,
2479
+ "loss": 1.2596,
2480
+ "step": 3530
2481
+ },
2482
+ {
2483
+ "epoch": 0.8981352277051884,
2484
+ "grad_norm": 1.441827806292722,
2485
+ "learning_rate": 3.1223267434778934e-07,
2486
+ "loss": 1.2548,
2487
+ "step": 3540
2488
+ },
2489
+ {
2490
+ "epoch": 0.9006723328681974,
2491
+ "grad_norm": 1.4029572337771223,
2492
+ "learning_rate": 2.9700828554508175e-07,
2493
+ "loss": 1.2714,
2494
+ "step": 3550
2495
+ },
2496
+ {
2497
+ "epoch": 0.9032094380312063,
2498
+ "grad_norm": 1.456563644801128,
2499
+ "learning_rate": 2.82153038908034e-07,
2500
+ "loss": 1.271,
2501
+ "step": 3560
2502
+ },
2503
+ {
2504
+ "epoch": 0.9057465431942154,
2505
+ "grad_norm": 1.4854658320433165,
2506
+ "learning_rate": 2.6766810043867996e-07,
2507
+ "loss": 1.2636,
2508
+ "step": 3570
2509
+ },
2510
+ {
2511
+ "epoch": 0.9082836483572244,
2512
+ "grad_norm": 1.3976434876269141,
2513
+ "learning_rate": 2.53554607073227e-07,
2514
+ "loss": 1.2555,
2515
+ "step": 3580
2516
+ },
2517
+ {
2518
+ "epoch": 0.9108207535202334,
2519
+ "grad_norm": 1.4520566750739115,
2520
+ "learning_rate": 2.3981366659281135e-07,
2521
+ "loss": 1.2741,
2522
+ "step": 3590
2523
+ },
2524
+ {
2525
+ "epoch": 0.9133578586832424,
2526
+ "grad_norm": 1.431635462724296,
2527
+ "learning_rate": 2.2644635753654832e-07,
2528
+ "loss": 1.2641,
2529
+ "step": 3600
2530
+ },
2531
+ {
2532
+ "epoch": 0.9158949638462515,
2533
+ "grad_norm": 1.4459695881350807,
2534
+ "learning_rate": 2.1345372911687868e-07,
2535
+ "loss": 1.2719,
2536
+ "step": 3610
2537
+ },
2538
+ {
2539
+ "epoch": 0.9184320690092604,
2540
+ "grad_norm": 1.4523937909973577,
2541
+ "learning_rate": 2.008368011372136e-07,
2542
+ "loss": 1.2574,
2543
+ "step": 3620
2544
+ },
2545
+ {
2546
+ "epoch": 0.9209691741722694,
2547
+ "grad_norm": 1.448000545062192,
2548
+ "learning_rate": 1.8859656391188918e-07,
2549
+ "loss": 1.2678,
2550
+ "step": 3630
2551
+ },
2552
+ {
2553
+ "epoch": 0.9235062793352784,
2554
+ "grad_norm": 1.4574912967654818,
2555
+ "learning_rate": 1.7673397818843696e-07,
2556
+ "loss": 1.2631,
2557
+ "step": 3640
2558
+ },
2559
+ {
2560
+ "epoch": 0.9260433844982875,
2561
+ "grad_norm": 1.469570266612804,
2562
+ "learning_rate": 1.65249975072172e-07,
2563
+ "loss": 1.2676,
2564
+ "step": 3650
2565
+ },
2566
+ {
2567
+ "epoch": 0.9285804896612965,
2568
+ "grad_norm": 1.4705072480655184,
2569
+ "learning_rate": 1.5414545595311193e-07,
2570
+ "loss": 1.2363,
2571
+ "step": 3660
2572
+ },
2573
+ {
2574
+ "epoch": 0.9311175948243055,
2575
+ "grad_norm": 1.469943074464241,
2576
+ "learning_rate": 1.4342129243522241e-07,
2577
+ "loss": 1.2716,
2578
+ "step": 3670
2579
+ },
2580
+ {
2581
+ "epoch": 0.9336546999873144,
2582
+ "grad_norm": 1.4039691988667693,
2583
+ "learning_rate": 1.3307832626800966e-07,
2584
+ "loss": 1.2674,
2585
+ "step": 3680
2586
+ },
2587
+ {
2588
+ "epoch": 0.9361918051503235,
2589
+ "grad_norm": 1.4357184274036978,
2590
+ "learning_rate": 1.2311736928044437e-07,
2591
+ "loss": 1.2662,
2592
+ "step": 3690
2593
+ },
2594
+ {
2595
+ "epoch": 0.9387289103133325,
2596
+ "grad_norm": 1.4198942808558601,
2597
+ "learning_rate": 1.1353920331724666e-07,
2598
+ "loss": 1.2743,
2599
+ "step": 3700
2600
+ },
2601
+ {
2602
+ "epoch": 0.9412660154763415,
2603
+ "grad_norm": 1.472183542066415,
2604
+ "learning_rate": 1.0434458017751392e-07,
2605
+ "loss": 1.2505,
2606
+ "step": 3710
2607
+ },
2608
+ {
2609
+ "epoch": 0.9438031206393505,
2610
+ "grad_norm": 1.4530560276575668,
2611
+ "learning_rate": 9.553422155571257e-08,
2612
+ "loss": 1.2637,
2613
+ "step": 3720
2614
+ },
2615
+ {
2616
+ "epoch": 0.9463402258023595,
2617
+ "grad_norm": 1.4342800198901315,
2618
+ "learning_rate": 8.710881898503276e-08,
2619
+ "loss": 1.2706,
2620
+ "step": 3730
2621
+ },
2622
+ {
2623
+ "epoch": 0.9488773309653685,
2624
+ "grad_norm": 1.4769111711160674,
2625
+ "learning_rate": 7.906903378310738e-08,
2626
+ "loss": 1.2717,
2627
+ "step": 3740
2628
+ },
2629
+ {
2630
+ "epoch": 0.9514144361283775,
2631
+ "grad_norm": 1.4434198544006103,
2632
+ "learning_rate": 7.141549700010741e-08,
2633
+ "loss": 1.2764,
2634
+ "step": 3750
2635
+ },
2636
+ {
2637
+ "epoch": 0.9539515412913865,
2638
+ "grad_norm": 1.3967239883734883,
2639
+ "learning_rate": 6.414880936920665e-08,
2640
+ "loss": 1.2454,
2641
+ "step": 3760
2642
+ },
2643
+ {
2644
+ "epoch": 0.9564886464543956,
2645
+ "grad_norm": 1.4745766429828837,
2646
+ "learning_rate": 5.726954125943318e-08,
2647
+ "loss": 1.2747,
2648
+ "step": 3770
2649
+ },
2650
+ {
2651
+ "epoch": 0.9590257516174046,
2652
+ "grad_norm": 1.3354472782196753,
2653
+ "learning_rate": 5.0778232630897536e-08,
2654
+ "loss": 1.2717,
2655
+ "step": 3780
2656
+ },
2657
+ {
2658
+ "epoch": 0.9615628567804135,
2659
+ "grad_norm": 1.5048063707346293,
2660
+ "learning_rate": 4.4675392992412634e-08,
2661
+ "loss": 1.2728,
2662
+ "step": 3790
2663
+ },
2664
+ {
2665
+ "epoch": 0.9640999619434225,
2666
+ "grad_norm": 1.4399837174477832,
2667
+ "learning_rate": 3.896150136150134e-08,
2668
+ "loss": 1.2826,
2669
+ "step": 3800
2670
+ },
2671
+ {
2672
+ "epoch": 0.9666370671064316,
2673
+ "grad_norm": 1.4450380885385077,
2674
+ "learning_rate": 3.3637006226797665e-08,
2675
+ "loss": 1.2534,
2676
+ "step": 3810
2677
+ },
2678
+ {
2679
+ "epoch": 0.9691741722694406,
2680
+ "grad_norm": 1.35673950609508,
2681
+ "learning_rate": 2.8702325512844908e-08,
2682
+ "loss": 1.2609,
2683
+ "step": 3820
2684
+ },
2685
+ {
2686
+ "epoch": 0.9717112774324496,
2687
+ "grad_norm": 1.43190405721669,
2688
+ "learning_rate": 2.4157846547292473e-08,
2689
+ "loss": 1.2787,
2690
+ "step": 3830
2691
+ },
2692
+ {
2693
+ "epoch": 0.9742483825954585,
2694
+ "grad_norm": 1.4245067018508633,
2695
+ "learning_rate": 2.000392603049517e-08,
2696
+ "loss": 1.2665,
2697
+ "step": 3840
2698
+ },
2699
+ {
2700
+ "epoch": 0.9767854877584676,
2701
+ "grad_norm": 1.4112885660620007,
2702
+ "learning_rate": 1.6240890007510612e-08,
2703
+ "loss": 1.2785,
2704
+ "step": 3850
2705
+ },
2706
+ {
2707
+ "epoch": 0.9793225929214766,
2708
+ "grad_norm": 1.499341122900986,
2709
+ "learning_rate": 1.286903384251581e-08,
2710
+ "loss": 1.2539,
2711
+ "step": 3860
2712
+ },
2713
+ {
2714
+ "epoch": 0.9818596980844856,
2715
+ "grad_norm": 1.4494246005853764,
2716
+ "learning_rate": 9.888622195615705e-09,
2717
+ "loss": 1.2725,
2718
+ "step": 3870
2719
+ },
2720
+ {
2721
+ "epoch": 0.9843968032474946,
2722
+ "grad_norm": 1.421431046100693,
2723
+ "learning_rate": 7.299889002075344e-09,
2724
+ "loss": 1.2726,
2725
+ "step": 3880
2726
+ },
2727
+ {
2728
+ "epoch": 0.9869339084105037,
2729
+ "grad_norm": 1.4209346862475516,
2730
+ "learning_rate": 5.103037453954573e-09,
2731
+ "loss": 1.2548,
2732
+ "step": 3890
2733
+ },
2734
+ {
2735
+ "epoch": 0.9894710135735126,
2736
+ "grad_norm": 1.3751824191752333,
2737
+ "learning_rate": 3.2982399841618996e-09,
2738
+ "loss": 1.2859,
2739
+ "step": 3900
2740
+ },
2741
+ {
2742
+ "epoch": 0.9920081187365216,
2743
+ "grad_norm": 1.4627888810880714,
2744
+ "learning_rate": 1.8856382529192085e-09,
2745
+ "loss": 1.2842,
2746
+ "step": 3910
2747
+ },
2748
+ {
2749
+ "epoch": 0.9945452238995306,
2750
+ "grad_norm": 1.3905016842842302,
2751
+ "learning_rate": 8.653431366406617e-10,
2752
+ "loss": 1.2447,
2753
+ "step": 3920
2754
+ },
2755
+ {
2756
+ "epoch": 0.9970823290625397,
2757
+ "grad_norm": 1.5470180096733397,
2758
+ "learning_rate": 2.374347192335424e-10,
2759
+ "loss": 1.2707,
2760
+ "step": 3930
2761
+ },
2762
+ {
2763
+ "epoch": 0.9996194342255487,
2764
+ "grad_norm": 1.4506027900307656,
2765
+ "learning_rate": 1.9622858088430564e-12,
2766
+ "loss": 1.2737,
2767
+ "step": 3940
2768
+ },
2769
+ {
2770
+ "epoch": 0.9998731447418495,
2771
+ "step": 3941,
2772
+ "total_flos": 3.7575827488610714e+18,
2773
+ "train_loss": 1.3289946492206504,
2774
+ "train_runtime": 13442.1001,
2775
+ "train_samples_per_second": 37.53,
2776
+ "train_steps_per_second": 0.293
2777
+ }
2778
+ ],
2779
+ "logging_steps": 10,
2780
+ "max_steps": 3941,
2781
+ "num_input_tokens_seen": 0,
2782
+ "num_train_epochs": 1,
2783
+ "save_steps": 500,
2784
+ "stateful_callbacks": {
2785
+ "TrainerControl": {
2786
+ "args": {
2787
+ "should_epoch_stop": false,
2788
+ "should_evaluate": false,
2789
+ "should_log": false,
2790
+ "should_save": true,
2791
+ "should_training_stop": true
2792
+ },
2793
+ "attributes": {}
2794
+ }
2795
+ },
2796
+ "total_flos": 3.7575827488610714e+18,
2797
+ "train_batch_size": 8,
2798
+ "trial_name": null,
2799
+ "trial_params": null
2800
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e65cf1f2e9703de4bb06c3bb6408bedea884627a4f53c87c6d91f434bba63ab2
3
+ size 6776
vocab.json ADDED
The diff for this file is too large to render. See raw diff