loubnabnl HF staff commited on
Commit
ad768f3
·
verified ·
1 Parent(s): 3dd3be0

Model save

Browse files
README.md ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: HuggingFaceTB/SmolLM2-1.7B-8k
3
+ tags:
4
+ - trl
5
+ - sft
6
+ - generated_from_trainer
7
+ datasets:
8
+ - generator
9
+ model-index:
10
+ - name: smollm2-1.7B-8k-mix7-ep2-v2
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/loubnabnl/huggingface/runs/6rp7tpcv)
18
+ # smollm2-1.7B-8k-mix7-ep2-v2
19
+
20
+ This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-1.7B-8k](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-8k) on the generator dataset.
21
+ It achieves the following results on the evaluation set:
22
+ - Loss: 1.0630
23
+
24
+ ## Model description
25
+
26
+ More information needed
27
+
28
+ ## Intended uses & limitations
29
+
30
+ More information needed
31
+
32
+ ## Training and evaluation data
33
+
34
+ More information needed
35
+
36
+ ## Training procedure
37
+
38
+ ### Training hyperparameters
39
+
40
+ The following hyperparameters were used during training:
41
+ - learning_rate: 0.0003
42
+ - train_batch_size: 4
43
+ - eval_batch_size: 4
44
+ - seed: 42
45
+ - distributed_type: multi-GPU
46
+ - num_devices: 8
47
+ - gradient_accumulation_steps: 4
48
+ - total_train_batch_size: 128
49
+ - total_eval_batch_size: 32
50
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
+ - lr_scheduler_type: cosine
52
+ - lr_scheduler_warmup_ratio: 0.1
53
+ - num_epochs: 2
54
+
55
+ ### Training results
56
+
57
+ | Training Loss | Epoch | Step | Validation Loss |
58
+ |:-------------:|:------:|:----:|:---------------:|
59
+ | 0.7442 | 0.9992 | 893 | 1.0789 |
60
+ | 0.6705 | 1.9983 | 1786 | 1.0630 |
61
+
62
+
63
+ ### Framework versions
64
+
65
+ - Transformers 4.42.3
66
+ - Pytorch 2.1.2
67
+ - Datasets 2.20.0
68
+ - Tokenizers 0.19.1
all_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.9983216783216782,
3
+ "total_flos": 1127451463778304.0,
4
+ "train_loss": 0.777597175032935,
5
+ "train_runtime": 16051.5455,
6
+ "train_samples": 1029132,
7
+ "train_samples_per_second": 14.253,
8
+ "train_steps_per_second": 0.111
9
+ }
config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "HuggingFaceTB/SmolLM2-1.7B-8k",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 1,
9
+ "eos_token_id": 2,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 2048,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 8192,
14
+ "max_position_embeddings": 8192,
15
+ "mlp_bias": false,
16
+ "model_type": "llama",
17
+ "num_attention_heads": 32,
18
+ "num_hidden_layers": 24,
19
+ "num_key_value_heads": 32,
20
+ "pad_token_id": 2,
21
+ "pretraining_tp": 1,
22
+ "rms_norm_eps": 1e-05,
23
+ "rope_scaling": null,
24
+ "rope_theta": 130000,
25
+ "tie_word_embeddings": true,
26
+ "torch_dtype": "bfloat16",
27
+ "transformers_version": "4.42.3",
28
+ "use_cache": false,
29
+ "vocab_size": 49152
30
+ }
generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "pad_token_id": 2,
6
+ "transformers_version": "4.42.3"
7
+ }
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 sha256:98360aebc58238dc07b4bcb78b709b7eb24d639e50a662f6bbdb57f610f6779c
3
+ size 3422777952
runs/Oct30_23-27-03_ip-26-0-164-18/events.out.tfevents.1730332615.ip-26-0-164-18.40006.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0873dd28e429f1d2206edf9d1303fb97e99dda399fea3d137c0e2cff6cda7703
3
+ size 81405
special_tokens_map.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ {
4
+ "content": "<|im_start|>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false
9
+ },
10
+ {
11
+ "content": "<|im_end|>",
12
+ "lstrip": false,
13
+ "normalized": false,
14
+ "rstrip": false,
15
+ "single_word": false
16
+ }
17
+ ],
18
+ "bos_token": "<|im_start|>",
19
+ "eos_token": "<|im_end|>",
20
+ "pad_token": "<|im_end|>",
21
+ "unk_token": {
22
+ "content": "<|endoftext|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false
27
+ }
28
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<repo_name>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "4": {
37
+ "content": "<reponame>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "5": {
45
+ "content": "<file_sep>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "6": {
53
+ "content": "<filename>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "7": {
61
+ "content": "<gh_stars>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "8": {
69
+ "content": "<issue_start>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "9": {
77
+ "content": "<issue_comment>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "10": {
85
+ "content": "<issue_closed>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "11": {
93
+ "content": "<jupyter_start>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "12": {
101
+ "content": "<jupyter_text>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "13": {
109
+ "content": "<jupyter_code>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "14": {
117
+ "content": "<jupyter_output>",
118
+ "lstrip": false,
119
+ "normalized": false,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": true
123
+ },
124
+ "15": {
125
+ "content": "<jupyter_script>",
126
+ "lstrip": false,
127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": true
131
+ },
132
+ "16": {
133
+ "content": "<empty_output>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": true
139
+ }
140
+ },
141
+ "additional_special_tokens": [
142
+ "<|im_start|>",
143
+ "<|im_end|>"
144
+ ],
145
+ "bos_token": "<|im_start|>",
146
+ "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
147
+ "clean_up_tokenization_spaces": false,
148
+ "eos_token": "<|im_end|>",
149
+ "model_max_length": 2048,
150
+ "pad_token": "<|im_end|>",
151
+ "tokenizer_class": "GPT2Tokenizer",
152
+ "unk_token": "<|endoftext|>",
153
+ "vocab_size": 49152
154
+ }
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.9983216783216782,
3
+ "total_flos": 1127451463778304.0,
4
+ "train_loss": 0.777597175032935,
5
+ "train_runtime": 16051.5455,
6
+ "train_samples": 1029132,
7
+ "train_samples_per_second": 14.253,
8
+ "train_steps_per_second": 0.111
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,2564 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.9983216783216782,
5
+ "eval_steps": 500,
6
+ "global_step": 1786,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0011188811188811189,
13
+ "grad_norm": 153.8507844996399,
14
+ "learning_rate": 1.6759776536312848e-06,
15
+ "loss": 4.8778,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.005594405594405594,
20
+ "grad_norm": 153.39272858190785,
21
+ "learning_rate": 8.379888268156423e-06,
22
+ "loss": 4.7304,
23
+ "step": 5
24
+ },
25
+ {
26
+ "epoch": 0.011188811188811189,
27
+ "grad_norm": 96.41612092958107,
28
+ "learning_rate": 1.6759776536312845e-05,
29
+ "loss": 4.1396,
30
+ "step": 10
31
+ },
32
+ {
33
+ "epoch": 0.016783216783216783,
34
+ "grad_norm": 23.87392825650757,
35
+ "learning_rate": 2.513966480446927e-05,
36
+ "loss": 2.5431,
37
+ "step": 15
38
+ },
39
+ {
40
+ "epoch": 0.022377622377622378,
41
+ "grad_norm": 6.903016270261399,
42
+ "learning_rate": 3.351955307262569e-05,
43
+ "loss": 1.742,
44
+ "step": 20
45
+ },
46
+ {
47
+ "epoch": 0.027972027972027972,
48
+ "grad_norm": 2.441067831027445,
49
+ "learning_rate": 4.189944134078212e-05,
50
+ "loss": 1.3057,
51
+ "step": 25
52
+ },
53
+ {
54
+ "epoch": 0.033566433566433566,
55
+ "grad_norm": 1.0984763176398198,
56
+ "learning_rate": 5.027932960893854e-05,
57
+ "loss": 1.1221,
58
+ "step": 30
59
+ },
60
+ {
61
+ "epoch": 0.039160839160839164,
62
+ "grad_norm": 0.5734705027472714,
63
+ "learning_rate": 5.865921787709496e-05,
64
+ "loss": 1.0604,
65
+ "step": 35
66
+ },
67
+ {
68
+ "epoch": 0.044755244755244755,
69
+ "grad_norm": 0.47491071619847164,
70
+ "learning_rate": 6.703910614525138e-05,
71
+ "loss": 0.9951,
72
+ "step": 40
73
+ },
74
+ {
75
+ "epoch": 0.05034965034965035,
76
+ "grad_norm": 0.48157929747551576,
77
+ "learning_rate": 7.541899441340782e-05,
78
+ "loss": 0.9713,
79
+ "step": 45
80
+ },
81
+ {
82
+ "epoch": 0.055944055944055944,
83
+ "grad_norm": 0.45861937937875213,
84
+ "learning_rate": 8.379888268156423e-05,
85
+ "loss": 0.9551,
86
+ "step": 50
87
+ },
88
+ {
89
+ "epoch": 0.06153846153846154,
90
+ "grad_norm": 0.5047783392223855,
91
+ "learning_rate": 9.217877094972066e-05,
92
+ "loss": 0.948,
93
+ "step": 55
94
+ },
95
+ {
96
+ "epoch": 0.06713286713286713,
97
+ "grad_norm": 0.4461540398939836,
98
+ "learning_rate": 0.00010055865921787709,
99
+ "loss": 0.9392,
100
+ "step": 60
101
+ },
102
+ {
103
+ "epoch": 0.07272727272727272,
104
+ "grad_norm": 0.3316401246824197,
105
+ "learning_rate": 0.00010893854748603351,
106
+ "loss": 0.9146,
107
+ "step": 65
108
+ },
109
+ {
110
+ "epoch": 0.07832167832167833,
111
+ "grad_norm": 0.21722066760341413,
112
+ "learning_rate": 0.00011731843575418992,
113
+ "loss": 0.9012,
114
+ "step": 70
115
+ },
116
+ {
117
+ "epoch": 0.08391608391608392,
118
+ "grad_norm": 0.1499443883049875,
119
+ "learning_rate": 0.00012569832402234635,
120
+ "loss": 0.8927,
121
+ "step": 75
122
+ },
123
+ {
124
+ "epoch": 0.08951048951048951,
125
+ "grad_norm": 0.22243490348769648,
126
+ "learning_rate": 0.00013407821229050276,
127
+ "loss": 0.8937,
128
+ "step": 80
129
+ },
130
+ {
131
+ "epoch": 0.0951048951048951,
132
+ "grad_norm": 0.37625345216705214,
133
+ "learning_rate": 0.0001424581005586592,
134
+ "loss": 0.8718,
135
+ "step": 85
136
+ },
137
+ {
138
+ "epoch": 0.1006993006993007,
139
+ "grad_norm": 0.24963786248117179,
140
+ "learning_rate": 0.00015083798882681564,
141
+ "loss": 0.8921,
142
+ "step": 90
143
+ },
144
+ {
145
+ "epoch": 0.1062937062937063,
146
+ "grad_norm": 0.26880921530140445,
147
+ "learning_rate": 0.00015921787709497208,
148
+ "loss": 0.8799,
149
+ "step": 95
150
+ },
151
+ {
152
+ "epoch": 0.11188811188811189,
153
+ "grad_norm": 0.20889087265244094,
154
+ "learning_rate": 0.00016759776536312847,
155
+ "loss": 0.8678,
156
+ "step": 100
157
+ },
158
+ {
159
+ "epoch": 0.11748251748251748,
160
+ "grad_norm": 0.20865989038699168,
161
+ "learning_rate": 0.0001759776536312849,
162
+ "loss": 0.8715,
163
+ "step": 105
164
+ },
165
+ {
166
+ "epoch": 0.12307692307692308,
167
+ "grad_norm": 0.17048448558431092,
168
+ "learning_rate": 0.00018435754189944132,
169
+ "loss": 0.866,
170
+ "step": 110
171
+ },
172
+ {
173
+ "epoch": 0.12867132867132866,
174
+ "grad_norm": 0.2563726823096772,
175
+ "learning_rate": 0.00019273743016759776,
176
+ "loss": 0.8786,
177
+ "step": 115
178
+ },
179
+ {
180
+ "epoch": 0.13426573426573427,
181
+ "grad_norm": 0.22854402328286066,
182
+ "learning_rate": 0.00020111731843575417,
183
+ "loss": 0.8641,
184
+ "step": 120
185
+ },
186
+ {
187
+ "epoch": 0.13986013986013987,
188
+ "grad_norm": 0.17876773160294948,
189
+ "learning_rate": 0.00020949720670391058,
190
+ "loss": 0.8625,
191
+ "step": 125
192
+ },
193
+ {
194
+ "epoch": 0.14545454545454545,
195
+ "grad_norm": 0.3615856863579962,
196
+ "learning_rate": 0.00021787709497206702,
197
+ "loss": 0.8504,
198
+ "step": 130
199
+ },
200
+ {
201
+ "epoch": 0.15104895104895105,
202
+ "grad_norm": 0.22751374781762473,
203
+ "learning_rate": 0.00022625698324022346,
204
+ "loss": 0.8683,
205
+ "step": 135
206
+ },
207
+ {
208
+ "epoch": 0.15664335664335666,
209
+ "grad_norm": 0.21790912834318224,
210
+ "learning_rate": 0.00023463687150837985,
211
+ "loss": 0.8519,
212
+ "step": 140
213
+ },
214
+ {
215
+ "epoch": 0.16223776223776223,
216
+ "grad_norm": 0.18707627983249808,
217
+ "learning_rate": 0.0002430167597765363,
218
+ "loss": 0.8426,
219
+ "step": 145
220
+ },
221
+ {
222
+ "epoch": 0.16783216783216784,
223
+ "grad_norm": 0.22404831326656477,
224
+ "learning_rate": 0.0002513966480446927,
225
+ "loss": 0.8509,
226
+ "step": 150
227
+ },
228
+ {
229
+ "epoch": 0.17342657342657342,
230
+ "grad_norm": 0.20919591839479193,
231
+ "learning_rate": 0.00025977653631284914,
232
+ "loss": 0.8594,
233
+ "step": 155
234
+ },
235
+ {
236
+ "epoch": 0.17902097902097902,
237
+ "grad_norm": 0.15579954649232924,
238
+ "learning_rate": 0.0002681564245810055,
239
+ "loss": 0.8319,
240
+ "step": 160
241
+ },
242
+ {
243
+ "epoch": 0.18461538461538463,
244
+ "grad_norm": 0.4055853577053493,
245
+ "learning_rate": 0.00027653631284916196,
246
+ "loss": 0.8577,
247
+ "step": 165
248
+ },
249
+ {
250
+ "epoch": 0.1902097902097902,
251
+ "grad_norm": 0.2945253672148607,
252
+ "learning_rate": 0.0002849162011173184,
253
+ "loss": 0.8579,
254
+ "step": 170
255
+ },
256
+ {
257
+ "epoch": 0.1958041958041958,
258
+ "grad_norm": 0.21772142109085163,
259
+ "learning_rate": 0.00029329608938547484,
260
+ "loss": 0.8382,
261
+ "step": 175
262
+ },
263
+ {
264
+ "epoch": 0.2013986013986014,
265
+ "grad_norm": 0.2281215849497856,
266
+ "learning_rate": 0.00029999971336506766,
267
+ "loss": 0.8331,
268
+ "step": 180
269
+ },
270
+ {
271
+ "epoch": 0.206993006993007,
272
+ "grad_norm": 0.17899592128620762,
273
+ "learning_rate": 0.0002999896812574594,
274
+ "loss": 0.8434,
275
+ "step": 185
276
+ },
277
+ {
278
+ "epoch": 0.2125874125874126,
279
+ "grad_norm": 0.14731246899285452,
280
+ "learning_rate": 0.0002999653184986775,
281
+ "loss": 0.8458,
282
+ "step": 190
283
+ },
284
+ {
285
+ "epoch": 0.21818181818181817,
286
+ "grad_norm": 0.14945248170502354,
287
+ "learning_rate": 0.00029992662741644334,
288
+ "loss": 0.8457,
289
+ "step": 195
290
+ },
291
+ {
292
+ "epoch": 0.22377622377622378,
293
+ "grad_norm": 0.14124929357614965,
294
+ "learning_rate": 0.0002998736117074673,
295
+ "loss": 0.8219,
296
+ "step": 200
297
+ },
298
+ {
299
+ "epoch": 0.22937062937062938,
300
+ "grad_norm": 0.18621904528265473,
301
+ "learning_rate": 0.0002998062764370954,
302
+ "loss": 0.8299,
303
+ "step": 205
304
+ },
305
+ {
306
+ "epoch": 0.23496503496503496,
307
+ "grad_norm": 0.22513445720588005,
308
+ "learning_rate": 0.00029972462803882523,
309
+ "loss": 0.8502,
310
+ "step": 210
311
+ },
312
+ {
313
+ "epoch": 0.24055944055944056,
314
+ "grad_norm": 0.1636384983699745,
315
+ "learning_rate": 0.0002996286743136916,
316
+ "loss": 0.8506,
317
+ "step": 215
318
+ },
319
+ {
320
+ "epoch": 0.24615384615384617,
321
+ "grad_norm": 0.19587892370520038,
322
+ "learning_rate": 0.000299518424429521,
323
+ "loss": 0.8382,
324
+ "step": 220
325
+ },
326
+ {
327
+ "epoch": 0.2517482517482518,
328
+ "grad_norm": 0.17371559645370255,
329
+ "learning_rate": 0.0002993938889200556,
330
+ "loss": 0.8322,
331
+ "step": 225
332
+ },
333
+ {
334
+ "epoch": 0.2573426573426573,
335
+ "grad_norm": 0.13779589201692538,
336
+ "learning_rate": 0.0002992550796839468,
337
+ "loss": 0.8243,
338
+ "step": 230
339
+ },
340
+ {
341
+ "epoch": 0.2629370629370629,
342
+ "grad_norm": 0.22266694135489237,
343
+ "learning_rate": 0.00029910200998361857,
344
+ "loss": 0.8332,
345
+ "step": 235
346
+ },
347
+ {
348
+ "epoch": 0.26853146853146853,
349
+ "grad_norm": 0.21324201617886082,
350
+ "learning_rate": 0.0002989346944440003,
351
+ "loss": 0.8377,
352
+ "step": 240
353
+ },
354
+ {
355
+ "epoch": 0.27412587412587414,
356
+ "grad_norm": 0.1378342855087125,
357
+ "learning_rate": 0.0002987531490511291,
358
+ "loss": 0.8346,
359
+ "step": 245
360
+ },
361
+ {
362
+ "epoch": 0.27972027972027974,
363
+ "grad_norm": 0.13885067623091277,
364
+ "learning_rate": 0.000298557391150623,
365
+ "loss": 0.8366,
366
+ "step": 250
367
+ },
368
+ {
369
+ "epoch": 0.2853146853146853,
370
+ "grad_norm": 0.13254675983004904,
371
+ "learning_rate": 0.00029834743944602316,
372
+ "loss": 0.8389,
373
+ "step": 255
374
+ },
375
+ {
376
+ "epoch": 0.2909090909090909,
377
+ "grad_norm": 0.15399189190157112,
378
+ "learning_rate": 0.0002981233139970071,
379
+ "loss": 0.8247,
380
+ "step": 260
381
+ },
382
+ {
383
+ "epoch": 0.2965034965034965,
384
+ "grad_norm": 0.16475565381996887,
385
+ "learning_rate": 0.0002978850362174722,
386
+ "loss": 0.8042,
387
+ "step": 265
388
+ },
389
+ {
390
+ "epoch": 0.3020979020979021,
391
+ "grad_norm": 0.1449584149552635,
392
+ "learning_rate": 0.0002976326288734894,
393
+ "loss": 0.8113,
394
+ "step": 270
395
+ },
396
+ {
397
+ "epoch": 0.3076923076923077,
398
+ "grad_norm": 0.1479148461740847,
399
+ "learning_rate": 0.0002973661160811284,
400
+ "loss": 0.8327,
401
+ "step": 275
402
+ },
403
+ {
404
+ "epoch": 0.3132867132867133,
405
+ "grad_norm": 0.11641111946130961,
406
+ "learning_rate": 0.00029708552330415337,
407
+ "loss": 0.8266,
408
+ "step": 280
409
+ },
410
+ {
411
+ "epoch": 0.31888111888111886,
412
+ "grad_norm": 0.1289644823631784,
413
+ "learning_rate": 0.0002967908773515898,
414
+ "loss": 0.8031,
415
+ "step": 285
416
+ },
417
+ {
418
+ "epoch": 0.32447552447552447,
419
+ "grad_norm": 0.19696780235530817,
420
+ "learning_rate": 0.0002964822063751635,
421
+ "loss": 0.8195,
422
+ "step": 290
423
+ },
424
+ {
425
+ "epoch": 0.3300699300699301,
426
+ "grad_norm": 0.13415245793361397,
427
+ "learning_rate": 0.00029615953986661056,
428
+ "loss": 0.8232,
429
+ "step": 295
430
+ },
431
+ {
432
+ "epoch": 0.3356643356643357,
433
+ "grad_norm": 0.1289064453230423,
434
+ "learning_rate": 0.0002958229086548595,
435
+ "loss": 0.811,
436
+ "step": 300
437
+ },
438
+ {
439
+ "epoch": 0.3412587412587413,
440
+ "grad_norm": 0.2030532789276685,
441
+ "learning_rate": 0.00029547234490308604,
442
+ "loss": 0.8196,
443
+ "step": 305
444
+ },
445
+ {
446
+ "epoch": 0.34685314685314683,
447
+ "grad_norm": 0.1690018504223368,
448
+ "learning_rate": 0.00029510788210563996,
449
+ "loss": 0.8176,
450
+ "step": 310
451
+ },
452
+ {
453
+ "epoch": 0.35244755244755244,
454
+ "grad_norm": 0.18348727298089326,
455
+ "learning_rate": 0.0002947295550848448,
456
+ "loss": 0.8106,
457
+ "step": 315
458
+ },
459
+ {
460
+ "epoch": 0.35804195804195804,
461
+ "grad_norm": 0.12176145136770436,
462
+ "learning_rate": 0.000294337399987671,
463
+ "loss": 0.8106,
464
+ "step": 320
465
+ },
466
+ {
467
+ "epoch": 0.36363636363636365,
468
+ "grad_norm": 0.14033633981287297,
469
+ "learning_rate": 0.0002939314542822821,
470
+ "loss": 0.8061,
471
+ "step": 325
472
+ },
473
+ {
474
+ "epoch": 0.36923076923076925,
475
+ "grad_norm": 0.1360601366236884,
476
+ "learning_rate": 0.0002935117567544547,
477
+ "loss": 0.8026,
478
+ "step": 330
479
+ },
480
+ {
481
+ "epoch": 0.3748251748251748,
482
+ "grad_norm": 0.15461610864168454,
483
+ "learning_rate": 0.0002930783475038734,
484
+ "loss": 0.8232,
485
+ "step": 335
486
+ },
487
+ {
488
+ "epoch": 0.3804195804195804,
489
+ "grad_norm": 0.10363695784053935,
490
+ "learning_rate": 0.0002926312679402985,
491
+ "loss": 0.8049,
492
+ "step": 340
493
+ },
494
+ {
495
+ "epoch": 0.386013986013986,
496
+ "grad_norm": 0.12894656658416323,
497
+ "learning_rate": 0.00029217056077961043,
498
+ "loss": 0.7993,
499
+ "step": 345
500
+ },
501
+ {
502
+ "epoch": 0.3916083916083916,
503
+ "grad_norm": 0.12013728582042035,
504
+ "learning_rate": 0.000291696270039728,
505
+ "loss": 0.7863,
506
+ "step": 350
507
+ },
508
+ {
509
+ "epoch": 0.3972027972027972,
510
+ "grad_norm": 0.10813698150493352,
511
+ "learning_rate": 0.0002912084410364029,
512
+ "loss": 0.7997,
513
+ "step": 355
514
+ },
515
+ {
516
+ "epoch": 0.4027972027972028,
517
+ "grad_norm": 0.17771298556035153,
518
+ "learning_rate": 0.00029070712037889,
519
+ "loss": 0.8018,
520
+ "step": 360
521
+ },
522
+ {
523
+ "epoch": 0.4083916083916084,
524
+ "grad_norm": 0.10837497819616222,
525
+ "learning_rate": 0.00029019235596549394,
526
+ "loss": 0.8078,
527
+ "step": 365
528
+ },
529
+ {
530
+ "epoch": 0.413986013986014,
531
+ "grad_norm": 0.12560903325827824,
532
+ "learning_rate": 0.0002896641969789932,
533
+ "loss": 0.8182,
534
+ "step": 370
535
+ },
536
+ {
537
+ "epoch": 0.4195804195804196,
538
+ "grad_norm": 0.17753966157649756,
539
+ "learning_rate": 0.0002891226938819405,
540
+ "loss": 0.8059,
541
+ "step": 375
542
+ },
543
+ {
544
+ "epoch": 0.4251748251748252,
545
+ "grad_norm": 0.12975220832490364,
546
+ "learning_rate": 0.0002885678984118415,
547
+ "loss": 0.7811,
548
+ "step": 380
549
+ },
550
+ {
551
+ "epoch": 0.4307692307692308,
552
+ "grad_norm": 0.18552799892105348,
553
+ "learning_rate": 0.0002879998635762118,
554
+ "loss": 0.799,
555
+ "step": 385
556
+ },
557
+ {
558
+ "epoch": 0.43636363636363634,
559
+ "grad_norm": 0.17744047449094297,
560
+ "learning_rate": 0.000287418643647512,
561
+ "loss": 0.7974,
562
+ "step": 390
563
+ },
564
+ {
565
+ "epoch": 0.44195804195804195,
566
+ "grad_norm": 0.13797503272598644,
567
+ "learning_rate": 0.00028682429415796267,
568
+ "loss": 0.7931,
569
+ "step": 395
570
+ },
571
+ {
572
+ "epoch": 0.44755244755244755,
573
+ "grad_norm": 0.12860800142514783,
574
+ "learning_rate": 0.0002862168718942383,
575
+ "loss": 0.7861,
576
+ "step": 400
577
+ },
578
+ {
579
+ "epoch": 0.45314685314685316,
580
+ "grad_norm": 0.12668805301774957,
581
+ "learning_rate": 0.00028559643489204186,
582
+ "loss": 0.8107,
583
+ "step": 405
584
+ },
585
+ {
586
+ "epoch": 0.45874125874125876,
587
+ "grad_norm": 0.11338400624283074,
588
+ "learning_rate": 0.0002849630424305595,
589
+ "loss": 0.8088,
590
+ "step": 410
591
+ },
592
+ {
593
+ "epoch": 0.4643356643356643,
594
+ "grad_norm": 0.1345570809457518,
595
+ "learning_rate": 0.00028431675502679717,
596
+ "loss": 0.8038,
597
+ "step": 415
598
+ },
599
+ {
600
+ "epoch": 0.4699300699300699,
601
+ "grad_norm": 0.11102734283999488,
602
+ "learning_rate": 0.00028365763442979823,
603
+ "loss": 0.8163,
604
+ "step": 420
605
+ },
606
+ {
607
+ "epoch": 0.4755244755244755,
608
+ "grad_norm": 0.12810877098380058,
609
+ "learning_rate": 0.000282985743614744,
610
+ "loss": 0.8017,
611
+ "step": 425
612
+ },
613
+ {
614
+ "epoch": 0.4811188811188811,
615
+ "grad_norm": 0.11873107897366113,
616
+ "learning_rate": 0.0002823011467769364,
617
+ "loss": 0.7957,
618
+ "step": 430
619
+ },
620
+ {
621
+ "epoch": 0.48671328671328673,
622
+ "grad_norm": 0.13272846461187762,
623
+ "learning_rate": 0.000281603909325665,
624
+ "loss": 0.8054,
625
+ "step": 435
626
+ },
627
+ {
628
+ "epoch": 0.49230769230769234,
629
+ "grad_norm": 0.10875049751356179,
630
+ "learning_rate": 0.00028089409787795716,
631
+ "loss": 0.7976,
632
+ "step": 440
633
+ },
634
+ {
635
+ "epoch": 0.4979020979020979,
636
+ "grad_norm": 0.11634952268956057,
637
+ "learning_rate": 0.0002801717802522132,
638
+ "loss": 0.792,
639
+ "step": 445
640
+ },
641
+ {
642
+ "epoch": 0.5034965034965035,
643
+ "grad_norm": 0.10607280522202725,
644
+ "learning_rate": 0.00027943702546172697,
645
+ "loss": 0.8078,
646
+ "step": 450
647
+ },
648
+ {
649
+ "epoch": 0.509090909090909,
650
+ "grad_norm": 0.15901805386261234,
651
+ "learning_rate": 0.00027868990370809164,
652
+ "loss": 0.8023,
653
+ "step": 455
654
+ },
655
+ {
656
+ "epoch": 0.5146853146853146,
657
+ "grad_norm": 0.12222508621029372,
658
+ "learning_rate": 0.00027793048637449273,
659
+ "loss": 0.7956,
660
+ "step": 460
661
+ },
662
+ {
663
+ "epoch": 0.5202797202797202,
664
+ "grad_norm": 0.10769602993732762,
665
+ "learning_rate": 0.0002771588460188876,
666
+ "loss": 0.7897,
667
+ "step": 465
668
+ },
669
+ {
670
+ "epoch": 0.5258741258741259,
671
+ "grad_norm": 0.1119724845850892,
672
+ "learning_rate": 0.00027637505636707315,
673
+ "loss": 0.7901,
674
+ "step": 470
675
+ },
676
+ {
677
+ "epoch": 0.5314685314685315,
678
+ "grad_norm": 0.11279764446201575,
679
+ "learning_rate": 0.0002755791923056415,
680
+ "loss": 0.79,
681
+ "step": 475
682
+ },
683
+ {
684
+ "epoch": 0.5370629370629371,
685
+ "grad_norm": 0.16791268697388115,
686
+ "learning_rate": 0.0002747713298748253,
687
+ "loss": 0.7909,
688
+ "step": 480
689
+ },
690
+ {
691
+ "epoch": 0.5426573426573427,
692
+ "grad_norm": 0.14084691053374204,
693
+ "learning_rate": 0.00027395154626123225,
694
+ "loss": 0.8013,
695
+ "step": 485
696
+ },
697
+ {
698
+ "epoch": 0.5482517482517483,
699
+ "grad_norm": 0.12452861008817544,
700
+ "learning_rate": 0.00027311991979047046,
701
+ "loss": 0.7888,
702
+ "step": 490
703
+ },
704
+ {
705
+ "epoch": 0.5538461538461539,
706
+ "grad_norm": 0.12432408060887955,
707
+ "learning_rate": 0.00027227652991966507,
708
+ "loss": 0.7736,
709
+ "step": 495
710
+ },
711
+ {
712
+ "epoch": 0.5594405594405595,
713
+ "grad_norm": 0.1167273022435753,
714
+ "learning_rate": 0.00027142145722986637,
715
+ "loss": 0.7892,
716
+ "step": 500
717
+ },
718
+ {
719
+ "epoch": 0.5650349650349651,
720
+ "grad_norm": 0.1570515101772784,
721
+ "learning_rate": 0.0002705547834183506,
722
+ "loss": 0.7735,
723
+ "step": 505
724
+ },
725
+ {
726
+ "epoch": 0.5706293706293706,
727
+ "grad_norm": 0.1757157276572827,
728
+ "learning_rate": 0.00026967659129081465,
729
+ "loss": 0.7947,
730
+ "step": 510
731
+ },
732
+ {
733
+ "epoch": 0.5762237762237762,
734
+ "grad_norm": 0.10842613803532425,
735
+ "learning_rate": 0.0002687869647534643,
736
+ "loss": 0.7844,
737
+ "step": 515
738
+ },
739
+ {
740
+ "epoch": 0.5818181818181818,
741
+ "grad_norm": 0.14559223171878447,
742
+ "learning_rate": 0.0002678859888049972,
743
+ "loss": 0.7881,
744
+ "step": 520
745
+ },
746
+ {
747
+ "epoch": 0.5874125874125874,
748
+ "grad_norm": 0.13398356861671987,
749
+ "learning_rate": 0.0002669737495284819,
750
+ "loss": 0.7731,
751
+ "step": 525
752
+ },
753
+ {
754
+ "epoch": 0.593006993006993,
755
+ "grad_norm": 0.16426998549603838,
756
+ "learning_rate": 0.00026605033408313354,
757
+ "loss": 0.7819,
758
+ "step": 530
759
+ },
760
+ {
761
+ "epoch": 0.5986013986013986,
762
+ "grad_norm": 0.12765279377973468,
763
+ "learning_rate": 0.0002651158306959855,
764
+ "loss": 0.7725,
765
+ "step": 535
766
+ },
767
+ {
768
+ "epoch": 0.6041958041958042,
769
+ "grad_norm": 0.11028117529632633,
770
+ "learning_rate": 0.00026417032865346023,
771
+ "loss": 0.7926,
772
+ "step": 540
773
+ },
774
+ {
775
+ "epoch": 0.6097902097902098,
776
+ "grad_norm": 0.12782289803306612,
777
+ "learning_rate": 0.00026321391829283884,
778
+ "loss": 0.7634,
779
+ "step": 545
780
+ },
781
+ {
782
+ "epoch": 0.6153846153846154,
783
+ "grad_norm": 0.1369549911517866,
784
+ "learning_rate": 0.0002622466909936289,
785
+ "loss": 0.7628,
786
+ "step": 550
787
+ },
788
+ {
789
+ "epoch": 0.620979020979021,
790
+ "grad_norm": 0.11521467825966626,
791
+ "learning_rate": 0.0002612687391688347,
792
+ "loss": 0.7763,
793
+ "step": 555
794
+ },
795
+ {
796
+ "epoch": 0.6265734265734266,
797
+ "grad_norm": 0.12350512688772212,
798
+ "learning_rate": 0.00026028015625612706,
799
+ "loss": 0.7884,
800
+ "step": 560
801
+ },
802
+ {
803
+ "epoch": 0.6321678321678321,
804
+ "grad_norm": 0.10825882258061882,
805
+ "learning_rate": 0.000259281036708916,
806
+ "loss": 0.7945,
807
+ "step": 565
808
+ },
809
+ {
810
+ "epoch": 0.6377622377622377,
811
+ "grad_norm": 0.11150400278758185,
812
+ "learning_rate": 0.00025827147598732656,
813
+ "loss": 0.7862,
814
+ "step": 570
815
+ },
816
+ {
817
+ "epoch": 0.6433566433566433,
818
+ "grad_norm": 0.10337975508652891,
819
+ "learning_rate": 0.00025725157054907777,
820
+ "loss": 0.7838,
821
+ "step": 575
822
+ },
823
+ {
824
+ "epoch": 0.6489510489510489,
825
+ "grad_norm": 0.09770680702107988,
826
+ "learning_rate": 0.0002562214178402669,
827
+ "loss": 0.7969,
828
+ "step": 580
829
+ },
830
+ {
831
+ "epoch": 0.6545454545454545,
832
+ "grad_norm": 0.1163323874465344,
833
+ "learning_rate": 0.00025518111628605885,
834
+ "loss": 0.7819,
835
+ "step": 585
836
+ },
837
+ {
838
+ "epoch": 0.6601398601398601,
839
+ "grad_norm": 0.11896295851189105,
840
+ "learning_rate": 0.00025413076528128255,
841
+ "loss": 0.7709,
842
+ "step": 590
843
+ },
844
+ {
845
+ "epoch": 0.6657342657342658,
846
+ "grad_norm": 0.11330549108690711,
847
+ "learning_rate": 0.0002530704651809339,
848
+ "loss": 0.7744,
849
+ "step": 595
850
+ },
851
+ {
852
+ "epoch": 0.6713286713286714,
853
+ "grad_norm": 0.13654029100152085,
854
+ "learning_rate": 0.0002520003172905878,
855
+ "loss": 0.7952,
856
+ "step": 600
857
+ },
858
+ {
859
+ "epoch": 0.676923076923077,
860
+ "grad_norm": 0.10351068732360345,
861
+ "learning_rate": 0.0002509204238567186,
862
+ "loss": 0.7755,
863
+ "step": 605
864
+ },
865
+ {
866
+ "epoch": 0.6825174825174826,
867
+ "grad_norm": 0.14077884569885882,
868
+ "learning_rate": 0.00024983088805693163,
869
+ "loss": 0.7831,
870
+ "step": 610
871
+ },
872
+ {
873
+ "epoch": 0.6881118881118881,
874
+ "grad_norm": 0.11948510265909233,
875
+ "learning_rate": 0.00024873181399010446,
876
+ "loss": 0.7861,
877
+ "step": 615
878
+ },
879
+ {
880
+ "epoch": 0.6937062937062937,
881
+ "grad_norm": 0.12755481254736167,
882
+ "learning_rate": 0.00024762330666644136,
883
+ "loss": 0.7782,
884
+ "step": 620
885
+ },
886
+ {
887
+ "epoch": 0.6993006993006993,
888
+ "grad_norm": 0.10102773025347063,
889
+ "learning_rate": 0.0002465054719974401,
890
+ "loss": 0.7731,
891
+ "step": 625
892
+ },
893
+ {
894
+ "epoch": 0.7048951048951049,
895
+ "grad_norm": 0.11665875780674151,
896
+ "learning_rate": 0.0002453784167857725,
897
+ "loss": 0.7839,
898
+ "step": 630
899
+ },
900
+ {
901
+ "epoch": 0.7104895104895105,
902
+ "grad_norm": 0.1074509342573267,
903
+ "learning_rate": 0.00024424224871508014,
904
+ "loss": 0.7769,
905
+ "step": 635
906
+ },
907
+ {
908
+ "epoch": 0.7160839160839161,
909
+ "grad_norm": 0.12422918258396683,
910
+ "learning_rate": 0.0002430970763396861,
911
+ "loss": 0.7754,
912
+ "step": 640
913
+ },
914
+ {
915
+ "epoch": 0.7216783216783217,
916
+ "grad_norm": 0.11786940518440715,
917
+ "learning_rate": 0.00024194300907422276,
918
+ "loss": 0.7974,
919
+ "step": 645
920
+ },
921
+ {
922
+ "epoch": 0.7272727272727273,
923
+ "grad_norm": 0.10398253596299759,
924
+ "learning_rate": 0.00024078015718317818,
925
+ "loss": 0.7729,
926
+ "step": 650
927
+ },
928
+ {
929
+ "epoch": 0.7328671328671329,
930
+ "grad_norm": 0.09903776559603776,
931
+ "learning_rate": 0.00023960863177036079,
932
+ "loss": 0.774,
933
+ "step": 655
934
+ },
935
+ {
936
+ "epoch": 0.7384615384615385,
937
+ "grad_norm": 0.09179018818178636,
938
+ "learning_rate": 0.00023842854476828411,
939
+ "loss": 0.7629,
940
+ "step": 660
941
+ },
942
+ {
943
+ "epoch": 0.7440559440559441,
944
+ "grad_norm": 0.10143244330106851,
945
+ "learning_rate": 0.0002372400089274724,
946
+ "loss": 0.781,
947
+ "step": 665
948
+ },
949
+ {
950
+ "epoch": 0.7496503496503496,
951
+ "grad_norm": 0.1121174501554115,
952
+ "learning_rate": 0.00023604313780568772,
953
+ "loss": 0.7811,
954
+ "step": 670
955
+ },
956
+ {
957
+ "epoch": 0.7552447552447552,
958
+ "grad_norm": 0.10047620860251714,
959
+ "learning_rate": 0.00023483804575708027,
960
+ "loss": 0.7752,
961
+ "step": 675
962
+ },
963
+ {
964
+ "epoch": 0.7608391608391608,
965
+ "grad_norm": 0.11068987100435401,
966
+ "learning_rate": 0.0002336248479212626,
967
+ "loss": 0.7657,
968
+ "step": 680
969
+ },
970
+ {
971
+ "epoch": 0.7664335664335664,
972
+ "grad_norm": 0.12535370469312143,
973
+ "learning_rate": 0.0002324036602123086,
974
+ "loss": 0.7731,
975
+ "step": 685
976
+ },
977
+ {
978
+ "epoch": 0.772027972027972,
979
+ "grad_norm": 0.11059830294321518,
980
+ "learning_rate": 0.00023117459930767847,
981
+ "loss": 0.7831,
982
+ "step": 690
983
+ },
984
+ {
985
+ "epoch": 0.7776223776223776,
986
+ "grad_norm": 0.11073279493368117,
987
+ "learning_rate": 0.00022993778263707105,
988
+ "loss": 0.7705,
989
+ "step": 695
990
+ },
991
+ {
992
+ "epoch": 0.7832167832167832,
993
+ "grad_norm": 0.12764331660853,
994
+ "learning_rate": 0.000228693328371204,
995
+ "loss": 0.7816,
996
+ "step": 700
997
+ },
998
+ {
999
+ "epoch": 0.7888111888111888,
1000
+ "grad_norm": 0.10951855988735575,
1001
+ "learning_rate": 0.0002274413554105232,
1002
+ "loss": 0.7577,
1003
+ "step": 705
1004
+ },
1005
+ {
1006
+ "epoch": 0.7944055944055944,
1007
+ "grad_norm": 0.12320185793067193,
1008
+ "learning_rate": 0.00022618198337384264,
1009
+ "loss": 0.7744,
1010
+ "step": 710
1011
+ },
1012
+ {
1013
+ "epoch": 0.8,
1014
+ "grad_norm": 0.10716655164464266,
1015
+ "learning_rate": 0.00022491533258691546,
1016
+ "loss": 0.7752,
1017
+ "step": 715
1018
+ },
1019
+ {
1020
+ "epoch": 0.8055944055944056,
1021
+ "grad_norm": 0.11962877035421185,
1022
+ "learning_rate": 0.00022364152407093737,
1023
+ "loss": 0.7812,
1024
+ "step": 720
1025
+ },
1026
+ {
1027
+ "epoch": 0.8111888111888111,
1028
+ "grad_norm": 0.10651252517324981,
1029
+ "learning_rate": 0.00022236067953098414,
1030
+ "loss": 0.78,
1031
+ "step": 725
1032
+ },
1033
+ {
1034
+ "epoch": 0.8167832167832167,
1035
+ "grad_norm": 0.1086890422520719,
1036
+ "learning_rate": 0.00022107292134438298,
1037
+ "loss": 0.7801,
1038
+ "step": 730
1039
+ },
1040
+ {
1041
+ "epoch": 0.8223776223776224,
1042
+ "grad_norm": 0.09743032182612474,
1043
+ "learning_rate": 0.00021977837254902034,
1044
+ "loss": 0.7762,
1045
+ "step": 735
1046
+ },
1047
+ {
1048
+ "epoch": 0.827972027972028,
1049
+ "grad_norm": 0.09964450561189496,
1050
+ "learning_rate": 0.0002184771568315862,
1051
+ "loss": 0.7809,
1052
+ "step": 740
1053
+ },
1054
+ {
1055
+ "epoch": 0.8335664335664336,
1056
+ "grad_norm": 0.09852105354101268,
1057
+ "learning_rate": 0.0002171693985157567,
1058
+ "loss": 0.7803,
1059
+ "step": 745
1060
+ },
1061
+ {
1062
+ "epoch": 0.8391608391608392,
1063
+ "grad_norm": 0.10751247181443387,
1064
+ "learning_rate": 0.00021585522255031554,
1065
+ "loss": 0.754,
1066
+ "step": 750
1067
+ },
1068
+ {
1069
+ "epoch": 0.8447552447552448,
1070
+ "grad_norm": 0.10083658202350868,
1071
+ "learning_rate": 0.00021453475449721593,
1072
+ "loss": 0.7689,
1073
+ "step": 755
1074
+ },
1075
+ {
1076
+ "epoch": 0.8503496503496504,
1077
+ "grad_norm": 0.1132302634053956,
1078
+ "learning_rate": 0.00021320812051958392,
1079
+ "loss": 0.7667,
1080
+ "step": 760
1081
+ },
1082
+ {
1083
+ "epoch": 0.855944055944056,
1084
+ "grad_norm": 0.09942757452904256,
1085
+ "learning_rate": 0.00021187544736966403,
1086
+ "loss": 0.7798,
1087
+ "step": 765
1088
+ },
1089
+ {
1090
+ "epoch": 0.8615384615384616,
1091
+ "grad_norm": 0.11119180151464317,
1092
+ "learning_rate": 0.00021053686237670912,
1093
+ "loss": 0.7768,
1094
+ "step": 770
1095
+ },
1096
+ {
1097
+ "epoch": 0.8671328671328671,
1098
+ "grad_norm": 0.11012292213675227,
1099
+ "learning_rate": 0.0002091924934348146,
1100
+ "loss": 0.7641,
1101
+ "step": 775
1102
+ },
1103
+ {
1104
+ "epoch": 0.8727272727272727,
1105
+ "grad_norm": 0.10508899250762296,
1106
+ "learning_rate": 0.0002078424689906988,
1107
+ "loss": 0.772,
1108
+ "step": 780
1109
+ },
1110
+ {
1111
+ "epoch": 0.8783216783216783,
1112
+ "grad_norm": 0.09916724236606267,
1113
+ "learning_rate": 0.00020648691803143088,
1114
+ "loss": 0.7798,
1115
+ "step": 785
1116
+ },
1117
+ {
1118
+ "epoch": 0.8839160839160839,
1119
+ "grad_norm": 0.10139136991498161,
1120
+ "learning_rate": 0.00020512597007210672,
1121
+ "loss": 0.7595,
1122
+ "step": 790
1123
+ },
1124
+ {
1125
+ "epoch": 0.8895104895104895,
1126
+ "grad_norm": 0.09922677378640356,
1127
+ "learning_rate": 0.00020375975514347447,
1128
+ "loss": 0.7582,
1129
+ "step": 795
1130
+ },
1131
+ {
1132
+ "epoch": 0.8951048951048951,
1133
+ "grad_norm": 0.10734407771584646,
1134
+ "learning_rate": 0.0002023884037795109,
1135
+ "loss": 0.7747,
1136
+ "step": 800
1137
+ },
1138
+ {
1139
+ "epoch": 0.9006993006993007,
1140
+ "grad_norm": 0.09003146154158007,
1141
+ "learning_rate": 0.00020101204700494963,
1142
+ "loss": 0.772,
1143
+ "step": 805
1144
+ },
1145
+ {
1146
+ "epoch": 0.9062937062937063,
1147
+ "grad_norm": 0.10224227095976963,
1148
+ "learning_rate": 0.00019963081632276244,
1149
+ "loss": 0.7632,
1150
+ "step": 810
1151
+ },
1152
+ {
1153
+ "epoch": 0.9118881118881119,
1154
+ "grad_norm": 0.10634964894349899,
1155
+ "learning_rate": 0.00019824484370159511,
1156
+ "loss": 0.7621,
1157
+ "step": 815
1158
+ },
1159
+ {
1160
+ "epoch": 0.9174825174825175,
1161
+ "grad_norm": 0.08669203171955091,
1162
+ "learning_rate": 0.00019685426156315817,
1163
+ "loss": 0.7678,
1164
+ "step": 820
1165
+ },
1166
+ {
1167
+ "epoch": 0.9230769230769231,
1168
+ "grad_norm": 0.09236536065178236,
1169
+ "learning_rate": 0.00019545920276957512,
1170
+ "loss": 0.7615,
1171
+ "step": 825
1172
+ },
1173
+ {
1174
+ "epoch": 0.9286713286713286,
1175
+ "grad_norm": 0.09051106183048227,
1176
+ "learning_rate": 0.00019405980061068813,
1177
+ "loss": 0.7538,
1178
+ "step": 830
1179
+ },
1180
+ {
1181
+ "epoch": 0.9342657342657342,
1182
+ "grad_norm": 0.09075314123364801,
1183
+ "learning_rate": 0.00019265618879132294,
1184
+ "loss": 0.7695,
1185
+ "step": 835
1186
+ },
1187
+ {
1188
+ "epoch": 0.9398601398601398,
1189
+ "grad_norm": 0.09779655862085175,
1190
+ "learning_rate": 0.000191248501418514,
1191
+ "loss": 0.7486,
1192
+ "step": 840
1193
+ },
1194
+ {
1195
+ "epoch": 0.9454545454545454,
1196
+ "grad_norm": 0.09284439899834651,
1197
+ "learning_rate": 0.00018983687298869165,
1198
+ "loss": 0.7757,
1199
+ "step": 845
1200
+ },
1201
+ {
1202
+ "epoch": 0.951048951048951,
1203
+ "grad_norm": 0.10906263614923466,
1204
+ "learning_rate": 0.00018842143837483137,
1205
+ "loss": 0.7654,
1206
+ "step": 850
1207
+ },
1208
+ {
1209
+ "epoch": 0.9566433566433566,
1210
+ "grad_norm": 0.08711563033296012,
1211
+ "learning_rate": 0.00018700233281356774,
1212
+ "loss": 0.7661,
1213
+ "step": 855
1214
+ },
1215
+ {
1216
+ "epoch": 0.9622377622377623,
1217
+ "grad_norm": 0.10105386217514606,
1218
+ "learning_rate": 0.00018557969189227327,
1219
+ "loss": 0.7566,
1220
+ "step": 860
1221
+ },
1222
+ {
1223
+ "epoch": 0.9678321678321679,
1224
+ "grad_norm": 0.09374075010702233,
1225
+ "learning_rate": 0.00018415365153610363,
1226
+ "loss": 0.7505,
1227
+ "step": 865
1228
+ },
1229
+ {
1230
+ "epoch": 0.9734265734265735,
1231
+ "grad_norm": 0.09217739631223294,
1232
+ "learning_rate": 0.00018272434799501108,
1233
+ "loss": 0.7513,
1234
+ "step": 870
1235
+ },
1236
+ {
1237
+ "epoch": 0.9790209790209791,
1238
+ "grad_norm": 0.10860300198578388,
1239
+ "learning_rate": 0.00018129191783072644,
1240
+ "loss": 0.7586,
1241
+ "step": 875
1242
+ },
1243
+ {
1244
+ "epoch": 0.9846153846153847,
1245
+ "grad_norm": 0.10382198085691989,
1246
+ "learning_rate": 0.00017985649790371123,
1247
+ "loss": 0.7712,
1248
+ "step": 880
1249
+ },
1250
+ {
1251
+ "epoch": 0.9902097902097902,
1252
+ "grad_norm": 0.09718012392096963,
1253
+ "learning_rate": 0.00017841822536008174,
1254
+ "loss": 0.7548,
1255
+ "step": 885
1256
+ },
1257
+ {
1258
+ "epoch": 0.9958041958041958,
1259
+ "grad_norm": 0.09129380340752612,
1260
+ "learning_rate": 0.00017697723761850529,
1261
+ "loss": 0.7442,
1262
+ "step": 890
1263
+ },
1264
+ {
1265
+ "epoch": 0.9991608391608392,
1266
+ "eval_loss": 1.078917145729065,
1267
+ "eval_runtime": 368.4649,
1268
+ "eval_samples_per_second": 55.878,
1269
+ "eval_steps_per_second": 1.748,
1270
+ "step": 893
1271
+ },
1272
+ {
1273
+ "epoch": 1.0013986013986014,
1274
+ "grad_norm": 0.2193429577704184,
1275
+ "learning_rate": 0.0001755336723570709,
1276
+ "loss": 0.7304,
1277
+ "step": 895
1278
+ },
1279
+ {
1280
+ "epoch": 1.006993006993007,
1281
+ "grad_norm": 0.12029696024418647,
1282
+ "learning_rate": 0.00017408766750013455,
1283
+ "loss": 0.6883,
1284
+ "step": 900
1285
+ },
1286
+ {
1287
+ "epoch": 1.0125874125874126,
1288
+ "grad_norm": 0.11157245101821324,
1289
+ "learning_rate": 0.0001726393612051416,
1290
+ "loss": 0.6937,
1291
+ "step": 905
1292
+ },
1293
+ {
1294
+ "epoch": 1.018181818181818,
1295
+ "grad_norm": 0.11562847307206518,
1296
+ "learning_rate": 0.0001711888918494268,
1297
+ "loss": 0.7072,
1298
+ "step": 910
1299
+ },
1300
+ {
1301
+ "epoch": 1.0237762237762238,
1302
+ "grad_norm": 0.09699091401508494,
1303
+ "learning_rate": 0.00016973639801699258,
1304
+ "loss": 0.7002,
1305
+ "step": 915
1306
+ },
1307
+ {
1308
+ "epoch": 1.0293706293706293,
1309
+ "grad_norm": 0.10329864513789806,
1310
+ "learning_rate": 0.0001682820184852687,
1311
+ "loss": 0.7049,
1312
+ "step": 920
1313
+ },
1314
+ {
1315
+ "epoch": 1.034965034965035,
1316
+ "grad_norm": 0.10505439144371424,
1317
+ "learning_rate": 0.0001668258922118525,
1318
+ "loss": 0.7062,
1319
+ "step": 925
1320
+ },
1321
+ {
1322
+ "epoch": 1.0405594405594405,
1323
+ "grad_norm": 0.09345853743066072,
1324
+ "learning_rate": 0.0001653681583212326,
1325
+ "loss": 0.705,
1326
+ "step": 930
1327
+ },
1328
+ {
1329
+ "epoch": 1.0461538461538462,
1330
+ "grad_norm": 0.14624259074546206,
1331
+ "learning_rate": 0.00016390895609149608,
1332
+ "loss": 0.6862,
1333
+ "step": 935
1334
+ },
1335
+ {
1336
+ "epoch": 1.0517482517482517,
1337
+ "grad_norm": 0.09484870970062163,
1338
+ "learning_rate": 0.00016244842494102135,
1339
+ "loss": 0.6794,
1340
+ "step": 940
1341
+ },
1342
+ {
1343
+ "epoch": 1.0573426573426574,
1344
+ "grad_norm": 0.1093126433741654,
1345
+ "learning_rate": 0.00016098670441515759,
1346
+ "loss": 0.6965,
1347
+ "step": 945
1348
+ },
1349
+ {
1350
+ "epoch": 1.062937062937063,
1351
+ "grad_norm": 0.08709955416922696,
1352
+ "learning_rate": 0.000159523934172892,
1353
+ "loss": 0.6875,
1354
+ "step": 950
1355
+ },
1356
+ {
1357
+ "epoch": 1.0685314685314686,
1358
+ "grad_norm": 0.08587078936550793,
1359
+ "learning_rate": 0.00015806025397350617,
1360
+ "loss": 0.6816,
1361
+ "step": 955
1362
+ },
1363
+ {
1364
+ "epoch": 1.0741258741258741,
1365
+ "grad_norm": 0.09226255228367097,
1366
+ "learning_rate": 0.00015659580366322265,
1367
+ "loss": 0.6909,
1368
+ "step": 960
1369
+ },
1370
+ {
1371
+ "epoch": 1.0797202797202796,
1372
+ "grad_norm": 0.0936240844549708,
1373
+ "learning_rate": 0.00015513072316184393,
1374
+ "loss": 0.6904,
1375
+ "step": 965
1376
+ },
1377
+ {
1378
+ "epoch": 1.0853146853146853,
1379
+ "grad_norm": 0.085659439411888,
1380
+ "learning_rate": 0.0001536651524493834,
1381
+ "loss": 0.6874,
1382
+ "step": 970
1383
+ },
1384
+ {
1385
+ "epoch": 1.0909090909090908,
1386
+ "grad_norm": 0.09924612907304702,
1387
+ "learning_rate": 0.00015219923155269157,
1388
+ "loss": 0.6953,
1389
+ "step": 975
1390
+ },
1391
+ {
1392
+ "epoch": 1.0965034965034965,
1393
+ "grad_norm": 0.10028513455623837,
1394
+ "learning_rate": 0.00015073310053207665,
1395
+ "loss": 0.6967,
1396
+ "step": 980
1397
+ },
1398
+ {
1399
+ "epoch": 1.102097902097902,
1400
+ "grad_norm": 0.09345136457275896,
1401
+ "learning_rate": 0.00014926689946792332,
1402
+ "loss": 0.6905,
1403
+ "step": 985
1404
+ },
1405
+ {
1406
+ "epoch": 1.1076923076923078,
1407
+ "grad_norm": 0.08893419418399162,
1408
+ "learning_rate": 0.00014780076844730849,
1409
+ "loss": 0.6985,
1410
+ "step": 990
1411
+ },
1412
+ {
1413
+ "epoch": 1.1132867132867132,
1414
+ "grad_norm": 0.08853702003030435,
1415
+ "learning_rate": 0.00014633484755061658,
1416
+ "loss": 0.7014,
1417
+ "step": 995
1418
+ },
1419
+ {
1420
+ "epoch": 1.118881118881119,
1421
+ "grad_norm": 0.08365464476596743,
1422
+ "learning_rate": 0.0001448692768381561,
1423
+ "loss": 0.697,
1424
+ "step": 1000
1425
+ },
1426
+ {
1427
+ "epoch": 1.1244755244755245,
1428
+ "grad_norm": 0.08780213786162074,
1429
+ "learning_rate": 0.00014340419633677732,
1430
+ "loss": 0.7025,
1431
+ "step": 1005
1432
+ },
1433
+ {
1434
+ "epoch": 1.1300699300699302,
1435
+ "grad_norm": 0.0884295613746686,
1436
+ "learning_rate": 0.00014193974602649386,
1437
+ "loss": 0.6993,
1438
+ "step": 1010
1439
+ },
1440
+ {
1441
+ "epoch": 1.1356643356643357,
1442
+ "grad_norm": 0.09059540370700289,
1443
+ "learning_rate": 0.00014047606582710798,
1444
+ "loss": 0.6948,
1445
+ "step": 1015
1446
+ },
1447
+ {
1448
+ "epoch": 1.1412587412587412,
1449
+ "grad_norm": 0.09899100050319447,
1450
+ "learning_rate": 0.00013901329558484236,
1451
+ "loss": 0.6992,
1452
+ "step": 1020
1453
+ },
1454
+ {
1455
+ "epoch": 1.1468531468531469,
1456
+ "grad_norm": 0.09283620847093584,
1457
+ "learning_rate": 0.00013755157505897868,
1458
+ "loss": 0.7184,
1459
+ "step": 1025
1460
+ },
1461
+ {
1462
+ "epoch": 1.1524475524475524,
1463
+ "grad_norm": 0.08887024389956383,
1464
+ "learning_rate": 0.00013609104390850392,
1465
+ "loss": 0.697,
1466
+ "step": 1030
1467
+ },
1468
+ {
1469
+ "epoch": 1.158041958041958,
1470
+ "grad_norm": 0.08693816785751791,
1471
+ "learning_rate": 0.0001346318416787674,
1472
+ "loss": 0.6939,
1473
+ "step": 1035
1474
+ },
1475
+ {
1476
+ "epoch": 1.1636363636363636,
1477
+ "grad_norm": 0.09116425941497776,
1478
+ "learning_rate": 0.00013317410778814745,
1479
+ "loss": 0.6989,
1480
+ "step": 1040
1481
+ },
1482
+ {
1483
+ "epoch": 1.1692307692307693,
1484
+ "grad_norm": 0.08570466903745366,
1485
+ "learning_rate": 0.00013171798151473133,
1486
+ "loss": 0.6956,
1487
+ "step": 1045
1488
+ },
1489
+ {
1490
+ "epoch": 1.1748251748251748,
1491
+ "grad_norm": 0.0974948891545614,
1492
+ "learning_rate": 0.0001302636019830074,
1493
+ "loss": 0.6965,
1494
+ "step": 1050
1495
+ },
1496
+ {
1497
+ "epoch": 1.1804195804195805,
1498
+ "grad_norm": 0.08995597994573838,
1499
+ "learning_rate": 0.0001288111081505732,
1500
+ "loss": 0.7041,
1501
+ "step": 1055
1502
+ },
1503
+ {
1504
+ "epoch": 1.186013986013986,
1505
+ "grad_norm": 0.07861264078439004,
1506
+ "learning_rate": 0.00012736063879485837,
1507
+ "loss": 0.7032,
1508
+ "step": 1060
1509
+ },
1510
+ {
1511
+ "epoch": 1.1916083916083915,
1512
+ "grad_norm": 0.0841514205254347,
1513
+ "learning_rate": 0.0001259123324998655,
1514
+ "loss": 0.6905,
1515
+ "step": 1065
1516
+ },
1517
+ {
1518
+ "epoch": 1.1972027972027972,
1519
+ "grad_norm": 0.08692540683602883,
1520
+ "learning_rate": 0.0001244663276429291,
1521
+ "loss": 0.7074,
1522
+ "step": 1070
1523
+ },
1524
+ {
1525
+ "epoch": 1.2027972027972027,
1526
+ "grad_norm": 0.08776833500890557,
1527
+ "learning_rate": 0.00012302276238149463,
1528
+ "loss": 0.7041,
1529
+ "step": 1075
1530
+ },
1531
+ {
1532
+ "epoch": 1.2083916083916084,
1533
+ "grad_norm": 0.08727180482054969,
1534
+ "learning_rate": 0.00012158177463991828,
1535
+ "loss": 0.696,
1536
+ "step": 1080
1537
+ },
1538
+ {
1539
+ "epoch": 1.213986013986014,
1540
+ "grad_norm": 0.08046559487267867,
1541
+ "learning_rate": 0.00012014350209628875,
1542
+ "loss": 0.6826,
1543
+ "step": 1085
1544
+ },
1545
+ {
1546
+ "epoch": 1.2195804195804196,
1547
+ "grad_norm": 0.08781752670322365,
1548
+ "learning_rate": 0.00011870808216927356,
1549
+ "loss": 0.6999,
1550
+ "step": 1090
1551
+ },
1552
+ {
1553
+ "epoch": 1.2251748251748251,
1554
+ "grad_norm": 0.08813740501797863,
1555
+ "learning_rate": 0.00011727565200498888,
1556
+ "loss": 0.7037,
1557
+ "step": 1095
1558
+ },
1559
+ {
1560
+ "epoch": 1.2307692307692308,
1561
+ "grad_norm": 0.08772222997454243,
1562
+ "learning_rate": 0.00011584634846389638,
1563
+ "loss": 0.6986,
1564
+ "step": 1100
1565
+ },
1566
+ {
1567
+ "epoch": 1.2363636363636363,
1568
+ "grad_norm": 0.10332929019104932,
1569
+ "learning_rate": 0.00011442030810772673,
1570
+ "loss": 0.6725,
1571
+ "step": 1105
1572
+ },
1573
+ {
1574
+ "epoch": 1.241958041958042,
1575
+ "grad_norm": 0.08709301562019137,
1576
+ "learning_rate": 0.00011299766718643226,
1577
+ "loss": 0.7063,
1578
+ "step": 1110
1579
+ },
1580
+ {
1581
+ "epoch": 1.2475524475524475,
1582
+ "grad_norm": 0.08449696490718896,
1583
+ "learning_rate": 0.00011157856162516863,
1584
+ "loss": 0.692,
1585
+ "step": 1115
1586
+ },
1587
+ {
1588
+ "epoch": 1.2531468531468533,
1589
+ "grad_norm": 0.08124616270666368,
1590
+ "learning_rate": 0.00011016312701130841,
1591
+ "loss": 0.6915,
1592
+ "step": 1120
1593
+ },
1594
+ {
1595
+ "epoch": 1.2587412587412588,
1596
+ "grad_norm": 0.09376360999458151,
1597
+ "learning_rate": 0.000108751498581486,
1598
+ "loss": 0.6939,
1599
+ "step": 1125
1600
+ },
1601
+ {
1602
+ "epoch": 1.2643356643356642,
1603
+ "grad_norm": 0.08677694965635109,
1604
+ "learning_rate": 0.00010734381120867707,
1605
+ "loss": 0.7029,
1606
+ "step": 1130
1607
+ },
1608
+ {
1609
+ "epoch": 1.26993006993007,
1610
+ "grad_norm": 0.08737879433308637,
1611
+ "learning_rate": 0.00010594019938931187,
1612
+ "loss": 0.6849,
1613
+ "step": 1135
1614
+ },
1615
+ {
1616
+ "epoch": 1.2755244755244755,
1617
+ "grad_norm": 0.08311271942623545,
1618
+ "learning_rate": 0.00010454079723042485,
1619
+ "loss": 0.6799,
1620
+ "step": 1140
1621
+ },
1622
+ {
1623
+ "epoch": 1.2811188811188812,
1624
+ "grad_norm": 0.07508666997892824,
1625
+ "learning_rate": 0.00010314573843684183,
1626
+ "loss": 0.6979,
1627
+ "step": 1145
1628
+ },
1629
+ {
1630
+ "epoch": 1.2867132867132867,
1631
+ "grad_norm": 0.07967922610661686,
1632
+ "learning_rate": 0.00010175515629840487,
1633
+ "loss": 0.6793,
1634
+ "step": 1150
1635
+ },
1636
+ {
1637
+ "epoch": 1.2923076923076924,
1638
+ "grad_norm": 0.08373250104545919,
1639
+ "learning_rate": 0.00010036918367723754,
1640
+ "loss": 0.6942,
1641
+ "step": 1155
1642
+ },
1643
+ {
1644
+ "epoch": 1.2979020979020979,
1645
+ "grad_norm": 0.08415435083106365,
1646
+ "learning_rate": 9.898795299505037e-05,
1647
+ "loss": 0.6843,
1648
+ "step": 1160
1649
+ },
1650
+ {
1651
+ "epoch": 1.3034965034965036,
1652
+ "grad_norm": 0.0972925237131085,
1653
+ "learning_rate": 9.761159622048914e-05,
1654
+ "loss": 0.6786,
1655
+ "step": 1165
1656
+ },
1657
+ {
1658
+ "epoch": 1.309090909090909,
1659
+ "grad_norm": 0.08332589008281578,
1660
+ "learning_rate": 9.624024485652552e-05,
1661
+ "loss": 0.6895,
1662
+ "step": 1170
1663
+ },
1664
+ {
1665
+ "epoch": 1.3146853146853146,
1666
+ "grad_norm": 0.08324352673680815,
1667
+ "learning_rate": 9.48740299278933e-05,
1668
+ "loss": 0.6902,
1669
+ "step": 1175
1670
+ },
1671
+ {
1672
+ "epoch": 1.3202797202797203,
1673
+ "grad_norm": 0.08212510567034546,
1674
+ "learning_rate": 9.351308196856911e-05,
1675
+ "loss": 0.6861,
1676
+ "step": 1180
1677
+ },
1678
+ {
1679
+ "epoch": 1.325874125874126,
1680
+ "grad_norm": 0.08320001036155726,
1681
+ "learning_rate": 9.215753100930118e-05,
1682
+ "loss": 0.6943,
1683
+ "step": 1185
1684
+ },
1685
+ {
1686
+ "epoch": 1.3314685314685315,
1687
+ "grad_norm": 0.09026366102833903,
1688
+ "learning_rate": 9.08075065651854e-05,
1689
+ "loss": 0.7031,
1690
+ "step": 1190
1691
+ },
1692
+ {
1693
+ "epoch": 1.337062937062937,
1694
+ "grad_norm": 0.07809171125830346,
1695
+ "learning_rate": 8.946313762329081e-05,
1696
+ "loss": 0.6974,
1697
+ "step": 1195
1698
+ },
1699
+ {
1700
+ "epoch": 1.3426573426573427,
1701
+ "grad_norm": 0.07708050011669573,
1702
+ "learning_rate": 8.812455263033595e-05,
1703
+ "loss": 0.7072,
1704
+ "step": 1200
1705
+ },
1706
+ {
1707
+ "epoch": 1.3482517482517482,
1708
+ "grad_norm": 0.08672106026682487,
1709
+ "learning_rate": 8.679187948041605e-05,
1710
+ "loss": 0.6946,
1711
+ "step": 1205
1712
+ },
1713
+ {
1714
+ "epoch": 1.353846153846154,
1715
+ "grad_norm": 0.08223294476361295,
1716
+ "learning_rate": 8.546524550278405e-05,
1717
+ "loss": 0.6917,
1718
+ "step": 1210
1719
+ },
1720
+ {
1721
+ "epoch": 1.3594405594405594,
1722
+ "grad_norm": 0.07572041983819904,
1723
+ "learning_rate": 8.414477744968441e-05,
1724
+ "loss": 0.7068,
1725
+ "step": 1215
1726
+ },
1727
+ {
1728
+ "epoch": 1.365034965034965,
1729
+ "grad_norm": 0.07935310328973877,
1730
+ "learning_rate": 8.283060148424328e-05,
1731
+ "loss": 0.6825,
1732
+ "step": 1220
1733
+ },
1734
+ {
1735
+ "epoch": 1.3706293706293706,
1736
+ "grad_norm": 0.08084222220036809,
1737
+ "learning_rate": 8.152284316841382e-05,
1738
+ "loss": 0.6895,
1739
+ "step": 1225
1740
+ },
1741
+ {
1742
+ "epoch": 1.3762237762237763,
1743
+ "grad_norm": 0.08362754142551204,
1744
+ "learning_rate": 8.02216274509797e-05,
1745
+ "loss": 0.6855,
1746
+ "step": 1230
1747
+ },
1748
+ {
1749
+ "epoch": 1.3818181818181818,
1750
+ "grad_norm": 0.08263146843817087,
1751
+ "learning_rate": 7.892707865561702e-05,
1752
+ "loss": 0.685,
1753
+ "step": 1235
1754
+ },
1755
+ {
1756
+ "epoch": 1.3874125874125873,
1757
+ "grad_norm": 0.07614085795637057,
1758
+ "learning_rate": 7.763932046901587e-05,
1759
+ "loss": 0.698,
1760
+ "step": 1240
1761
+ },
1762
+ {
1763
+ "epoch": 1.393006993006993,
1764
+ "grad_norm": 0.08297289392137173,
1765
+ "learning_rate": 7.635847592906259e-05,
1766
+ "loss": 0.6892,
1767
+ "step": 1245
1768
+ },
1769
+ {
1770
+ "epoch": 1.3986013986013985,
1771
+ "grad_norm": 0.09257478488971461,
1772
+ "learning_rate": 7.50846674130845e-05,
1773
+ "loss": 0.6819,
1774
+ "step": 1250
1775
+ },
1776
+ {
1777
+ "epoch": 1.4041958041958043,
1778
+ "grad_norm": 0.0820635181024322,
1779
+ "learning_rate": 7.381801662615731e-05,
1780
+ "loss": 0.6836,
1781
+ "step": 1255
1782
+ },
1783
+ {
1784
+ "epoch": 1.4097902097902097,
1785
+ "grad_norm": 0.08479286795375468,
1786
+ "learning_rate": 7.255864458947677e-05,
1787
+ "loss": 0.6838,
1788
+ "step": 1260
1789
+ },
1790
+ {
1791
+ "epoch": 1.4153846153846155,
1792
+ "grad_norm": 0.08169299364006637,
1793
+ "learning_rate": 7.130667162879602e-05,
1794
+ "loss": 0.6912,
1795
+ "step": 1265
1796
+ },
1797
+ {
1798
+ "epoch": 1.420979020979021,
1799
+ "grad_norm": 0.0847296311273153,
1800
+ "learning_rate": 7.006221736292892e-05,
1801
+ "loss": 0.6824,
1802
+ "step": 1270
1803
+ },
1804
+ {
1805
+ "epoch": 1.4265734265734267,
1806
+ "grad_norm": 0.07999623959693618,
1807
+ "learning_rate": 6.882540069232155e-05,
1808
+ "loss": 0.6806,
1809
+ "step": 1275
1810
+ },
1811
+ {
1812
+ "epoch": 1.4321678321678322,
1813
+ "grad_norm": 0.07964123970317083,
1814
+ "learning_rate": 6.759633978769139e-05,
1815
+ "loss": 0.7052,
1816
+ "step": 1280
1817
+ },
1818
+ {
1819
+ "epoch": 1.4377622377622377,
1820
+ "grad_norm": 0.0966871184419301,
1821
+ "learning_rate": 6.63751520787374e-05,
1822
+ "loss": 0.7002,
1823
+ "step": 1285
1824
+ },
1825
+ {
1826
+ "epoch": 1.4433566433566434,
1827
+ "grad_norm": 0.09626897693462537,
1828
+ "learning_rate": 6.516195424291972e-05,
1829
+ "loss": 0.6912,
1830
+ "step": 1290
1831
+ },
1832
+ {
1833
+ "epoch": 1.4489510489510489,
1834
+ "grad_norm": 0.08145120964067751,
1835
+ "learning_rate": 6.395686219431232e-05,
1836
+ "loss": 0.6877,
1837
+ "step": 1295
1838
+ },
1839
+ {
1840
+ "epoch": 1.4545454545454546,
1841
+ "grad_norm": 0.08789566288442652,
1842
+ "learning_rate": 6.275999107252758e-05,
1843
+ "loss": 0.6847,
1844
+ "step": 1300
1845
+ },
1846
+ {
1847
+ "epoch": 1.46013986013986,
1848
+ "grad_norm": 0.0806679485875012,
1849
+ "learning_rate": 6.157145523171587e-05,
1850
+ "loss": 0.6869,
1851
+ "step": 1305
1852
+ },
1853
+ {
1854
+ "epoch": 1.4657342657342658,
1855
+ "grad_norm": 0.07942983212018809,
1856
+ "learning_rate": 6.039136822963924e-05,
1857
+ "loss": 0.6767,
1858
+ "step": 1310
1859
+ },
1860
+ {
1861
+ "epoch": 1.4713286713286713,
1862
+ "grad_norm": 0.08489122954397245,
1863
+ "learning_rate": 5.9219842816821796e-05,
1864
+ "loss": 0.6814,
1865
+ "step": 1315
1866
+ },
1867
+ {
1868
+ "epoch": 1.476923076923077,
1869
+ "grad_norm": 0.08653144402466852,
1870
+ "learning_rate": 5.805699092577722e-05,
1871
+ "loss": 0.6968,
1872
+ "step": 1320
1873
+ },
1874
+ {
1875
+ "epoch": 1.4825174825174825,
1876
+ "grad_norm": 0.08218462407837061,
1877
+ "learning_rate": 5.6902923660313855e-05,
1878
+ "loss": 0.6781,
1879
+ "step": 1325
1880
+ },
1881
+ {
1882
+ "epoch": 1.488111888111888,
1883
+ "grad_norm": 0.07605468398853794,
1884
+ "learning_rate": 5.5757751284919836e-05,
1885
+ "loss": 0.6837,
1886
+ "step": 1330
1887
+ },
1888
+ {
1889
+ "epoch": 1.4937062937062937,
1890
+ "grad_norm": 0.07347540817224318,
1891
+ "learning_rate": 5.462158321422751e-05,
1892
+ "loss": 0.678,
1893
+ "step": 1335
1894
+ },
1895
+ {
1896
+ "epoch": 1.4993006993006994,
1897
+ "grad_norm": 0.08136761352155132,
1898
+ "learning_rate": 5.34945280025599e-05,
1899
+ "loss": 0.6843,
1900
+ "step": 1340
1901
+ },
1902
+ {
1903
+ "epoch": 1.504895104895105,
1904
+ "grad_norm": 0.079793665685405,
1905
+ "learning_rate": 5.237669333355863e-05,
1906
+ "loss": 0.6919,
1907
+ "step": 1345
1908
+ },
1909
+ {
1910
+ "epoch": 1.5104895104895104,
1911
+ "grad_norm": 0.07721773411337415,
1912
+ "learning_rate": 5.126818600989557e-05,
1913
+ "loss": 0.6826,
1914
+ "step": 1350
1915
+ },
1916
+ {
1917
+ "epoch": 1.5160839160839161,
1918
+ "grad_norm": 0.07622519698946323,
1919
+ "learning_rate": 5.0169111943068374e-05,
1920
+ "loss": 0.6901,
1921
+ "step": 1355
1922
+ },
1923
+ {
1924
+ "epoch": 1.5216783216783218,
1925
+ "grad_norm": 0.07862095262493349,
1926
+ "learning_rate": 4.9079576143281326e-05,
1927
+ "loss": 0.691,
1928
+ "step": 1360
1929
+ },
1930
+ {
1931
+ "epoch": 1.5272727272727273,
1932
+ "grad_norm": 0.07949120411421966,
1933
+ "learning_rate": 4.7999682709412216e-05,
1934
+ "loss": 0.6806,
1935
+ "step": 1365
1936
+ },
1937
+ {
1938
+ "epoch": 1.5328671328671328,
1939
+ "grad_norm": 0.08530944602336236,
1940
+ "learning_rate": 4.692953481906605e-05,
1941
+ "loss": 0.6847,
1942
+ "step": 1370
1943
+ },
1944
+ {
1945
+ "epoch": 1.5384615384615383,
1946
+ "grad_norm": 0.08074798934800313,
1947
+ "learning_rate": 4.586923471871743e-05,
1948
+ "loss": 0.681,
1949
+ "step": 1375
1950
+ },
1951
+ {
1952
+ "epoch": 1.544055944055944,
1953
+ "grad_norm": 0.0777449518216711,
1954
+ "learning_rate": 4.481888371394115e-05,
1955
+ "loss": 0.6874,
1956
+ "step": 1380
1957
+ },
1958
+ {
1959
+ "epoch": 1.5496503496503498,
1960
+ "grad_norm": 0.07535968734459726,
1961
+ "learning_rate": 4.377858215973318e-05,
1962
+ "loss": 0.6751,
1963
+ "step": 1385
1964
+ },
1965
+ {
1966
+ "epoch": 1.5552447552447553,
1967
+ "grad_norm": 0.07188075306681382,
1968
+ "learning_rate": 4.2748429450922263e-05,
1969
+ "loss": 0.6745,
1970
+ "step": 1390
1971
+ },
1972
+ {
1973
+ "epoch": 1.5608391608391607,
1974
+ "grad_norm": 0.0781312708212868,
1975
+ "learning_rate": 4.172852401267347e-05,
1976
+ "loss": 0.688,
1977
+ "step": 1395
1978
+ },
1979
+ {
1980
+ "epoch": 1.5664335664335665,
1981
+ "grad_norm": 0.07521827314744757,
1982
+ "learning_rate": 4.0718963291084e-05,
1983
+ "loss": 0.6757,
1984
+ "step": 1400
1985
+ },
1986
+ {
1987
+ "epoch": 1.5720279720279722,
1988
+ "grad_norm": 0.07373545234599518,
1989
+ "learning_rate": 3.9719843743872964e-05,
1990
+ "loss": 0.6778,
1991
+ "step": 1405
1992
+ },
1993
+ {
1994
+ "epoch": 1.5776223776223777,
1995
+ "grad_norm": 0.07264270828709123,
1996
+ "learning_rate": 3.873126083116525e-05,
1997
+ "loss": 0.6864,
1998
+ "step": 1410
1999
+ },
2000
+ {
2001
+ "epoch": 1.5832167832167832,
2002
+ "grad_norm": 0.0763271584430483,
2003
+ "learning_rate": 3.775330900637108e-05,
2004
+ "loss": 0.683,
2005
+ "step": 1415
2006
+ },
2007
+ {
2008
+ "epoch": 1.5888111888111887,
2009
+ "grad_norm": 0.07981572030031307,
2010
+ "learning_rate": 3.678608170716117e-05,
2011
+ "loss": 0.6795,
2012
+ "step": 1420
2013
+ },
2014
+ {
2015
+ "epoch": 1.5944055944055944,
2016
+ "grad_norm": 0.0746896810608302,
2017
+ "learning_rate": 3.582967134653972e-05,
2018
+ "loss": 0.675,
2019
+ "step": 1425
2020
+ },
2021
+ {
2022
+ "epoch": 1.6,
2023
+ "grad_norm": 0.07449703423407898,
2024
+ "learning_rate": 3.488416930401457e-05,
2025
+ "loss": 0.6805,
2026
+ "step": 1430
2027
+ },
2028
+ {
2029
+ "epoch": 1.6055944055944056,
2030
+ "grad_norm": 0.07104343697673421,
2031
+ "learning_rate": 3.3949665916866466e-05,
2032
+ "loss": 0.6752,
2033
+ "step": 1435
2034
+ },
2035
+ {
2036
+ "epoch": 1.611188811188811,
2037
+ "grad_norm": 0.07498548014087274,
2038
+ "learning_rate": 3.302625047151807e-05,
2039
+ "loss": 0.6949,
2040
+ "step": 1440
2041
+ },
2042
+ {
2043
+ "epoch": 1.6167832167832168,
2044
+ "grad_norm": 0.07539631481012679,
2045
+ "learning_rate": 3.211401119500283e-05,
2046
+ "loss": 0.6892,
2047
+ "step": 1445
2048
+ },
2049
+ {
2050
+ "epoch": 1.6223776223776225,
2051
+ "grad_norm": 0.0765200306903301,
2052
+ "learning_rate": 3.12130352465357e-05,
2053
+ "loss": 0.6891,
2054
+ "step": 1450
2055
+ },
2056
+ {
2057
+ "epoch": 1.627972027972028,
2058
+ "grad_norm": 0.0730441214772004,
2059
+ "learning_rate": 3.032340870918527e-05,
2060
+ "loss": 0.6981,
2061
+ "step": 1455
2062
+ },
2063
+ {
2064
+ "epoch": 1.6335664335664335,
2065
+ "grad_norm": 0.08171074628055888,
2066
+ "learning_rate": 2.9445216581649384e-05,
2067
+ "loss": 0.6936,
2068
+ "step": 1460
2069
+ },
2070
+ {
2071
+ "epoch": 1.6391608391608392,
2072
+ "grad_norm": 0.083112396316528,
2073
+ "learning_rate": 2.8578542770133654e-05,
2074
+ "loss": 0.6737,
2075
+ "step": 1465
2076
+ },
2077
+ {
2078
+ "epoch": 1.6447552447552447,
2079
+ "grad_norm": 0.08252295941296424,
2080
+ "learning_rate": 2.772347008033492e-05,
2081
+ "loss": 0.701,
2082
+ "step": 1470
2083
+ },
2084
+ {
2085
+ "epoch": 1.6503496503496504,
2086
+ "grad_norm": 0.07835293344801121,
2087
+ "learning_rate": 2.688008020952952e-05,
2088
+ "loss": 0.6921,
2089
+ "step": 1475
2090
+ },
2091
+ {
2092
+ "epoch": 1.655944055944056,
2093
+ "grad_norm": 0.0778212904803543,
2094
+ "learning_rate": 2.6048453738767755e-05,
2095
+ "loss": 0.6764,
2096
+ "step": 1480
2097
+ },
2098
+ {
2099
+ "epoch": 1.6615384615384614,
2100
+ "grad_norm": 0.07182079524548696,
2101
+ "learning_rate": 2.5228670125174704e-05,
2102
+ "loss": 0.6841,
2103
+ "step": 1485
2104
+ },
2105
+ {
2106
+ "epoch": 1.6671328671328671,
2107
+ "grad_norm": 0.072274928421158,
2108
+ "learning_rate": 2.4420807694358468e-05,
2109
+ "loss": 0.6823,
2110
+ "step": 1490
2111
+ },
2112
+ {
2113
+ "epoch": 1.6727272727272728,
2114
+ "grad_norm": 0.07124500713293849,
2115
+ "learning_rate": 2.3624943632926853e-05,
2116
+ "loss": 0.6816,
2117
+ "step": 1495
2118
+ },
2119
+ {
2120
+ "epoch": 1.6783216783216783,
2121
+ "grad_norm": 0.06940723884896695,
2122
+ "learning_rate": 2.2841153981112397e-05,
2123
+ "loss": 0.6805,
2124
+ "step": 1500
2125
+ },
2126
+ {
2127
+ "epoch": 1.6839160839160838,
2128
+ "grad_norm": 0.07325019748524,
2129
+ "learning_rate": 2.20695136255073e-05,
2130
+ "loss": 0.6614,
2131
+ "step": 1505
2132
+ },
2133
+ {
2134
+ "epoch": 1.6895104895104895,
2135
+ "grad_norm": 0.0727025067676513,
2136
+ "learning_rate": 2.1310096291908347e-05,
2137
+ "loss": 0.6851,
2138
+ "step": 1510
2139
+ },
2140
+ {
2141
+ "epoch": 1.6951048951048953,
2142
+ "grad_norm": 0.07406758207149883,
2143
+ "learning_rate": 2.0562974538273024e-05,
2144
+ "loss": 0.6978,
2145
+ "step": 1515
2146
+ },
2147
+ {
2148
+ "epoch": 1.7006993006993008,
2149
+ "grad_norm": 0.0684645890113912,
2150
+ "learning_rate": 1.9828219747786733e-05,
2151
+ "loss": 0.6814,
2152
+ "step": 1520
2153
+ },
2154
+ {
2155
+ "epoch": 1.7062937062937062,
2156
+ "grad_norm": 0.07103130256598,
2157
+ "learning_rate": 1.910590212204281e-05,
2158
+ "loss": 0.6955,
2159
+ "step": 1525
2160
+ },
2161
+ {
2162
+ "epoch": 1.7118881118881117,
2163
+ "grad_norm": 0.08660646823989741,
2164
+ "learning_rate": 1.839609067433495e-05,
2165
+ "loss": 0.6768,
2166
+ "step": 1530
2167
+ },
2168
+ {
2169
+ "epoch": 1.7174825174825175,
2170
+ "grad_norm": 0.07000885068796428,
2171
+ "learning_rate": 1.7698853223063554e-05,
2172
+ "loss": 0.6814,
2173
+ "step": 1535
2174
+ },
2175
+ {
2176
+ "epoch": 1.7230769230769232,
2177
+ "grad_norm": 0.07227717547773495,
2178
+ "learning_rate": 1.701425638525601e-05,
2179
+ "loss": 0.6863,
2180
+ "step": 1540
2181
+ },
2182
+ {
2183
+ "epoch": 1.7286713286713287,
2184
+ "grad_norm": 0.08472297754432541,
2185
+ "learning_rate": 1.634236557020174e-05,
2186
+ "loss": 0.6739,
2187
+ "step": 1545
2188
+ },
2189
+ {
2190
+ "epoch": 1.7342657342657342,
2191
+ "grad_norm": 0.07635635084022904,
2192
+ "learning_rate": 1.5683244973202848e-05,
2193
+ "loss": 0.6849,
2194
+ "step": 1550
2195
+ },
2196
+ {
2197
+ "epoch": 1.7398601398601399,
2198
+ "grad_norm": 0.0733376716964744,
2199
+ "learning_rate": 1.5036957569440488e-05,
2200
+ "loss": 0.6736,
2201
+ "step": 1555
2202
+ },
2203
+ {
2204
+ "epoch": 1.7454545454545456,
2205
+ "grad_norm": 0.06984335423469197,
2206
+ "learning_rate": 1.4403565107958142e-05,
2207
+ "loss": 0.6801,
2208
+ "step": 1560
2209
+ },
2210
+ {
2211
+ "epoch": 1.751048951048951,
2212
+ "grad_norm": 0.07299591046039727,
2213
+ "learning_rate": 1.3783128105761649e-05,
2214
+ "loss": 0.6703,
2215
+ "step": 1565
2216
+ },
2217
+ {
2218
+ "epoch": 1.7566433566433566,
2219
+ "grad_norm": 0.06856518432971286,
2220
+ "learning_rate": 1.3175705842037332e-05,
2221
+ "loss": 0.6811,
2222
+ "step": 1570
2223
+ },
2224
+ {
2225
+ "epoch": 1.762237762237762,
2226
+ "grad_norm": 0.06892528407637724,
2227
+ "learning_rate": 1.2581356352488003e-05,
2228
+ "loss": 0.6895,
2229
+ "step": 1575
2230
+ },
2231
+ {
2232
+ "epoch": 1.7678321678321678,
2233
+ "grad_norm": 0.0731333956161155,
2234
+ "learning_rate": 1.2000136423788226e-05,
2235
+ "loss": 0.6947,
2236
+ "step": 1580
2237
+ },
2238
+ {
2239
+ "epoch": 1.7734265734265735,
2240
+ "grad_norm": 0.07510563722528918,
2241
+ "learning_rate": 1.1432101588158487e-05,
2242
+ "loss": 0.6782,
2243
+ "step": 1585
2244
+ },
2245
+ {
2246
+ "epoch": 1.779020979020979,
2247
+ "grad_norm": 0.07335149840877105,
2248
+ "learning_rate": 1.0877306118059498e-05,
2249
+ "loss": 0.6832,
2250
+ "step": 1590
2251
+ },
2252
+ {
2253
+ "epoch": 1.7846153846153845,
2254
+ "grad_norm": 0.07016146300305476,
2255
+ "learning_rate": 1.0335803021006783e-05,
2256
+ "loss": 0.6735,
2257
+ "step": 1595
2258
+ },
2259
+ {
2260
+ "epoch": 1.7902097902097902,
2261
+ "grad_norm": 0.07110506905460164,
2262
+ "learning_rate": 9.807644034506024e-06,
2263
+ "loss": 0.6933,
2264
+ "step": 1600
2265
+ },
2266
+ {
2267
+ "epoch": 1.795804195804196,
2268
+ "grad_norm": 0.07366692101954259,
2269
+ "learning_rate": 9.292879621110022e-06,
2270
+ "loss": 0.6775,
2271
+ "step": 1605
2272
+ },
2273
+ {
2274
+ "epoch": 1.8013986013986014,
2275
+ "grad_norm": 0.07086756664676215,
2276
+ "learning_rate": 8.791558963597045e-06,
2277
+ "loss": 0.6847,
2278
+ "step": 1610
2279
+ },
2280
+ {
2281
+ "epoch": 1.806993006993007,
2282
+ "grad_norm": 0.0704179943193231,
2283
+ "learning_rate": 8.30372996027195e-06,
2284
+ "loss": 0.6802,
2285
+ "step": 1615
2286
+ },
2287
+ {
2288
+ "epoch": 1.8125874125874126,
2289
+ "grad_norm": 0.07178710401033903,
2290
+ "learning_rate": 7.829439220389521e-06,
2291
+ "loss": 0.6892,
2292
+ "step": 1620
2293
+ },
2294
+ {
2295
+ "epoch": 1.8181818181818183,
2296
+ "grad_norm": 0.07500788961567526,
2297
+ "learning_rate": 7.368732059701499e-06,
2298
+ "loss": 0.6822,
2299
+ "step": 1625
2300
+ },
2301
+ {
2302
+ "epoch": 1.8237762237762238,
2303
+ "grad_norm": 0.07030773912011665,
2304
+ "learning_rate": 6.921652496126623e-06,
2305
+ "loss": 0.6749,
2306
+ "step": 1630
2307
+ },
2308
+ {
2309
+ "epoch": 1.8293706293706293,
2310
+ "grad_norm": 0.07046870723595076,
2311
+ "learning_rate": 6.4882432455452606e-06,
2312
+ "loss": 0.6748,
2313
+ "step": 1635
2314
+ },
2315
+ {
2316
+ "epoch": 1.8349650349650348,
2317
+ "grad_norm": 0.07117585543308619,
2318
+ "learning_rate": 6.068545717717916e-06,
2319
+ "loss": 0.6828,
2320
+ "step": 1640
2321
+ },
2322
+ {
2323
+ "epoch": 1.8405594405594405,
2324
+ "grad_norm": 0.06915527262243856,
2325
+ "learning_rate": 5.662600012328944e-06,
2326
+ "loss": 0.6883,
2327
+ "step": 1645
2328
+ },
2329
+ {
2330
+ "epoch": 1.8461538461538463,
2331
+ "grad_norm": 0.06677186359807996,
2332
+ "learning_rate": 5.27044491515512e-06,
2333
+ "loss": 0.6701,
2334
+ "step": 1650
2335
+ },
2336
+ {
2337
+ "epoch": 1.8517482517482518,
2338
+ "grad_norm": 0.06975135811394965,
2339
+ "learning_rate": 4.892117894359981e-06,
2340
+ "loss": 0.6896,
2341
+ "step": 1655
2342
+ },
2343
+ {
2344
+ "epoch": 1.8573426573426572,
2345
+ "grad_norm": 0.06646442932877118,
2346
+ "learning_rate": 4.527655096913913e-06,
2347
+ "loss": 0.6736,
2348
+ "step": 1660
2349
+ },
2350
+ {
2351
+ "epoch": 1.862937062937063,
2352
+ "grad_norm": 0.0696338374277028,
2353
+ "learning_rate": 4.177091345140488e-06,
2354
+ "loss": 0.6824,
2355
+ "step": 1665
2356
+ },
2357
+ {
2358
+ "epoch": 1.8685314685314687,
2359
+ "grad_norm": 0.06913237278308428,
2360
+ "learning_rate": 3.840460133389434e-06,
2361
+ "loss": 0.6708,
2362
+ "step": 1670
2363
+ },
2364
+ {
2365
+ "epoch": 1.8741258741258742,
2366
+ "grad_norm": 0.07472788742872244,
2367
+ "learning_rate": 3.5177936248364236e-06,
2368
+ "loss": 0.6843,
2369
+ "step": 1675
2370
+ },
2371
+ {
2372
+ "epoch": 1.8797202797202797,
2373
+ "grad_norm": 0.07149423452101296,
2374
+ "learning_rate": 3.2091226484101506e-06,
2375
+ "loss": 0.6716,
2376
+ "step": 1680
2377
+ },
2378
+ {
2379
+ "epoch": 1.8853146853146852,
2380
+ "grad_norm": 0.0676192443302248,
2381
+ "learning_rate": 2.9144766958466014e-06,
2382
+ "loss": 0.6816,
2383
+ "step": 1685
2384
+ },
2385
+ {
2386
+ "epoch": 1.8909090909090909,
2387
+ "grad_norm": 0.07125330690039695,
2388
+ "learning_rate": 2.6338839188715433e-06,
2389
+ "loss": 0.686,
2390
+ "step": 1690
2391
+ },
2392
+ {
2393
+ "epoch": 1.8965034965034966,
2394
+ "grad_norm": 0.07150788853257964,
2395
+ "learning_rate": 2.3673711265105754e-06,
2396
+ "loss": 0.6845,
2397
+ "step": 1695
2398
+ },
2399
+ {
2400
+ "epoch": 1.902097902097902,
2401
+ "grad_norm": 0.06921602353027008,
2402
+ "learning_rate": 2.1149637825277953e-06,
2403
+ "loss": 0.6851,
2404
+ "step": 1700
2405
+ },
2406
+ {
2407
+ "epoch": 1.9076923076923076,
2408
+ "grad_norm": 0.07103009932661779,
2409
+ "learning_rate": 1.876686002992861e-06,
2410
+ "loss": 0.6879,
2411
+ "step": 1705
2412
+ },
2413
+ {
2414
+ "epoch": 1.9132867132867133,
2415
+ "grad_norm": 0.07078839389394587,
2416
+ "learning_rate": 1.6525605539768173e-06,
2417
+ "loss": 0.6842,
2418
+ "step": 1710
2419
+ },
2420
+ {
2421
+ "epoch": 1.918881118881119,
2422
+ "grad_norm": 0.0677463790575426,
2423
+ "learning_rate": 1.4426088493769695e-06,
2424
+ "loss": 0.6822,
2425
+ "step": 1715
2426
+ },
2427
+ {
2428
+ "epoch": 1.9244755244755245,
2429
+ "grad_norm": 0.0689426207416468,
2430
+ "learning_rate": 1.2468509488708534e-06,
2431
+ "loss": 0.671,
2432
+ "step": 1720
2433
+ },
2434
+ {
2435
+ "epoch": 1.93006993006993,
2436
+ "grad_norm": 0.06820108494343277,
2437
+ "learning_rate": 1.0653055559997014e-06,
2438
+ "loss": 0.6775,
2439
+ "step": 1725
2440
+ },
2441
+ {
2442
+ "epoch": 1.9356643356643357,
2443
+ "grad_norm": 0.06821597918112166,
2444
+ "learning_rate": 8.979900163813891e-07,
2445
+ "loss": 0.6701,
2446
+ "step": 1730
2447
+ },
2448
+ {
2449
+ "epoch": 1.9412587412587412,
2450
+ "grad_norm": 0.06837657131866866,
2451
+ "learning_rate": 7.449203160532102e-07,
2452
+ "loss": 0.6725,
2453
+ "step": 1735
2454
+ },
2455
+ {
2456
+ "epoch": 1.946853146853147,
2457
+ "grad_norm": 0.07000431064997485,
2458
+ "learning_rate": 6.061110799443991e-07,
2459
+ "loss": 0.6709,
2460
+ "step": 1740
2461
+ },
2462
+ {
2463
+ "epoch": 1.9524475524475524,
2464
+ "grad_norm": 0.07108137280182684,
2465
+ "learning_rate": 4.815755704789481e-07,
2466
+ "loss": 0.6846,
2467
+ "step": 1745
2468
+ },
2469
+ {
2470
+ "epoch": 1.958041958041958,
2471
+ "grad_norm": 0.07117415645327746,
2472
+ "learning_rate": 3.7132568630833804e-07,
2473
+ "loss": 0.6865,
2474
+ "step": 1750
2475
+ },
2476
+ {
2477
+ "epoch": 1.9636363636363636,
2478
+ "grad_norm": 0.06606487210968705,
2479
+ "learning_rate": 2.753719611747474e-07,
2480
+ "loss": 0.6736,
2481
+ "step": 1755
2482
+ },
2483
+ {
2484
+ "epoch": 1.9692307692307693,
2485
+ "grad_norm": 0.06965546022369541,
2486
+ "learning_rate": 1.9372356290460744e-07,
2487
+ "loss": 0.7023,
2488
+ "step": 1760
2489
+ },
2490
+ {
2491
+ "epoch": 1.9748251748251748,
2492
+ "grad_norm": 0.06925022116566176,
2493
+ "learning_rate": 1.2638829253265316e-07,
2494
+ "loss": 0.6665,
2495
+ "step": 1765
2496
+ },
2497
+ {
2498
+ "epoch": 1.9804195804195803,
2499
+ "grad_norm": 0.06743940727744605,
2500
+ "learning_rate": 7.337258355660236e-08,
2501
+ "loss": 0.6704,
2502
+ "step": 1770
2503
+ },
2504
+ {
2505
+ "epoch": 1.986013986013986,
2506
+ "grad_norm": 0.06697392386506328,
2507
+ "learning_rate": 3.4681501322464386e-08,
2508
+ "loss": 0.6703,
2509
+ "step": 1775
2510
+ },
2511
+ {
2512
+ "epoch": 1.9916083916083918,
2513
+ "grad_norm": 0.06864360169538268,
2514
+ "learning_rate": 1.0318742540560421e-08,
2515
+ "loss": 0.6753,
2516
+ "step": 1780
2517
+ },
2518
+ {
2519
+ "epoch": 1.9972027972027973,
2520
+ "grad_norm": 0.06821105929452137,
2521
+ "learning_rate": 2.8663493232272684e-10,
2522
+ "loss": 0.6705,
2523
+ "step": 1785
2524
+ },
2525
+ {
2526
+ "epoch": 1.9983216783216782,
2527
+ "eval_loss": 1.0629972219467163,
2528
+ "eval_runtime": 366.656,
2529
+ "eval_samples_per_second": 56.153,
2530
+ "eval_steps_per_second": 1.756,
2531
+ "step": 1786
2532
+ },
2533
+ {
2534
+ "epoch": 1.9983216783216782,
2535
+ "step": 1786,
2536
+ "total_flos": 1127451463778304.0,
2537
+ "train_loss": 0.777597175032935,
2538
+ "train_runtime": 16051.5455,
2539
+ "train_samples_per_second": 14.253,
2540
+ "train_steps_per_second": 0.111
2541
+ }
2542
+ ],
2543
+ "logging_steps": 5,
2544
+ "max_steps": 1786,
2545
+ "num_input_tokens_seen": 0,
2546
+ "num_train_epochs": 2,
2547
+ "save_steps": 500,
2548
+ "stateful_callbacks": {
2549
+ "TrainerControl": {
2550
+ "args": {
2551
+ "should_epoch_stop": false,
2552
+ "should_evaluate": false,
2553
+ "should_log": false,
2554
+ "should_save": false,
2555
+ "should_training_stop": false
2556
+ },
2557
+ "attributes": {}
2558
+ }
2559
+ },
2560
+ "total_flos": 1127451463778304.0,
2561
+ "train_batch_size": 4,
2562
+ "trial_name": null,
2563
+ "trial_params": null
2564
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:290d7ecc3e2f19388b5c15b1a5cf555114883a038f5dc255f5173455bbbea8a2
3
+ size 6392
vocab.json ADDED
The diff for this file is too large to render. See raw diff