Hugging Face's logo

roonbug
/
pb06fhlv

Safetensors
Model card Files
xet
 Community
roonbug commited on
Commit
87986cb
·
verified ·
1 Parent(s): 9426014

Upload folder using huggingface_hub

Browse files
Files changed (20) hide show
  1. .gitattributes +1 -0
  2. checkpoint-500/added_tokens.json +3 -0
  3. checkpoint-500/chat_template.jinja +47 -0
  4. checkpoint-500/config.json +110 -0
  5. checkpoint-500/generation_config.json +13 -0
  6. checkpoint-500/model-00001-of-00005.safetensors +3 -0
  7. checkpoint-500/model-00002-of-00005.safetensors +3 -0
  8. checkpoint-500/model-00003-of-00005.safetensors +3 -0
  9. checkpoint-500/model-00004-of-00005.safetensors +3 -0
  10. checkpoint-500/model-00005-of-00005.safetensors +3 -0
  11. checkpoint-500/model.safetensors.index.json +0 -0
  12. checkpoint-500/optimizer.pt +3 -0
  13. checkpoint-500/rng_state.pth +3 -0
  14. checkpoint-500/scheduler.pt +3 -0
  15. checkpoint-500/special_tokens_map.json +33 -0
  16. checkpoint-500/tokenizer.json +3 -0
  17. checkpoint-500/tokenizer.model +3 -0
  18. checkpoint-500/tokenizer_config.json +0 -0
  19. checkpoint-500/trainer_state.json +754 -0
  20. checkpoint-500/training_args.bin +3 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ checkpoint-500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
checkpoint-500/added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "<image_soft_token>": 262144
3
+ }
checkpoint-500/chat_template.jinja ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {{ bos_token }}
2
+ {%- if messages[0]['role'] == 'system' -%}
3
+ {%- if messages[0]['content'] is string -%}
4
+ {%- set first_user_prefix = messages[0]['content'] + '
5
+
6
+ ' -%}
7
+ {%- else -%}
8
+ {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
9
+
10
+ ' -%}
11
+ {%- endif -%}
12
+ {%- set loop_messages = messages[1:] -%}
13
+ {%- else -%}
14
+ {%- set first_user_prefix = "" -%}
15
+ {%- set loop_messages = messages -%}
16
+ {%- endif -%}
17
+ {%- for message in loop_messages -%}
18
+ {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
19
+ {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
20
+ {%- endif -%}
21
+ {%- if (message['role'] == 'assistant') -%}
22
+ {%- set role = "model" -%}
23
+ {%- else -%}
24
+ {%- set role = message['role'] -%}
25
+ {%- endif -%}
26
+ {{ '<start_of_turn>' + role + '
27
+ ' + (first_user_prefix if loop.first else "") }}
28
+ {%- if message['content'] is string -%}
29
+ {{ message['content'] | trim }}
30
+ {%- elif message['content'] is iterable -%}
31
+ {%- for item in message['content'] -%}
32
+ {%- if item['type'] == 'image' -%}
33
+ {{ '<start_of_image>' }}
34
+ {%- elif item['type'] == 'text' -%}
35
+ {{ item['text'] | trim }}
36
+ {%- endif -%}
37
+ {%- endfor -%}
38
+ {%- else -%}
39
+ {{ raise_exception("Invalid content type") }}
40
+ {%- endif -%}
41
+ {{ '<end_of_turn>
42
+ ' }}
43
+ {%- endfor -%}
44
+ {%- if add_generation_prompt -%}
45
+ {{'<start_of_turn>model
46
+ '}}
47
+ {%- endif -%}
checkpoint-500/config.json ADDED
@@ -0,0 +1,110 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Gemma3ForConditionalGeneration"
4
+ ],
5
+ "boi_token_index": 255999,
6
+ "bos_token_id": 2,
7
+ "dtype": "bfloat16",
8
+ "eoi_token_index": 256000,
9
+ "eos_token_id": 1,
10
+ "image_token_index": 262144,
11
+ "initializer_range": 0.02,
12
+ "mm_tokens_per_image": 256,
13
+ "model_type": "gemma3",
14
+ "pad_token_id": 0,
15
+ "text_config": {
16
+ "_sliding_window_pattern": 6,
17
+ "attention_bias": false,
18
+ "attention_dropout": 0.0,
19
+ "attn_logit_softcapping": null,
20
+ "dtype": "bfloat16",
21
+ "final_logit_softcapping": null,
22
+ "head_dim": 256,
23
+ "hidden_activation": "gelu_pytorch_tanh",
24
+ "hidden_size": 3840,
25
+ "initializer_range": 0.02,
26
+ "intermediate_size": 15360,
27
+ "layer_types": [
28
+ "sliding_attention",
29
+ "sliding_attention",
30
+ "sliding_attention",
31
+ "sliding_attention",
32
+ "sliding_attention",
33
+ "full_attention",
34
+ "sliding_attention",
35
+ "sliding_attention",
36
+ "sliding_attention",
37
+ "sliding_attention",
38
+ "sliding_attention",
39
+ "full_attention",
40
+ "sliding_attention",
41
+ "sliding_attention",
42
+ "sliding_attention",
43
+ "sliding_attention",
44
+ "sliding_attention",
45
+ "full_attention",
46
+ "sliding_attention",
47
+ "sliding_attention",
48
+ "sliding_attention",
49
+ "sliding_attention",
50
+ "sliding_attention",
51
+ "full_attention",
52
+ "sliding_attention",
53
+ "sliding_attention",
54
+ "sliding_attention",
55
+ "sliding_attention",
56
+ "sliding_attention",
57
+ "full_attention",
58
+ "sliding_attention",
59
+ "sliding_attention",
60
+ "sliding_attention",
61
+ "sliding_attention",
62
+ "sliding_attention",
63
+ "full_attention",
64
+ "sliding_attention",
65
+ "sliding_attention",
66
+ "sliding_attention",
67
+ "sliding_attention",
68
+ "sliding_attention",
69
+ "full_attention",
70
+ "sliding_attention",
71
+ "sliding_attention",
72
+ "sliding_attention",
73
+ "sliding_attention",
74
+ "sliding_attention",
75
+ "full_attention"
76
+ ],
77
+ "max_position_embeddings": 131072,
78
+ "model_type": "gemma3_text",
79
+ "num_attention_heads": 16,
80
+ "num_hidden_layers": 48,
81
+ "num_key_value_heads": 8,
82
+ "query_pre_attn_scalar": 256,
83
+ "rms_norm_eps": 1e-06,
84
+ "rope_local_base_freq": 10000.0,
85
+ "rope_scaling": {
86
+ "factor": 8.0,
87
+ "rope_type": "linear"
88
+ },
89
+ "rope_theta": 1000000.0,
90
+ "sliding_window": 1024,
91
+ "use_cache": true,
92
+ "vocab_size": 262208
93
+ },
94
+ "transformers_version": "4.56.1",
95
+ "vision_config": {
96
+ "attention_dropout": 0.0,
97
+ "dtype": "bfloat16",
98
+ "hidden_act": "gelu_pytorch_tanh",
99
+ "hidden_size": 1152,
100
+ "image_size": 896,
101
+ "intermediate_size": 4304,
102
+ "layer_norm_eps": 1e-06,
103
+ "model_type": "siglip_vision_model",
104
+ "num_attention_heads": 16,
105
+ "num_channels": 3,
106
+ "num_hidden_layers": 27,
107
+ "patch_size": 14,
108
+ "vision_use_head": false
109
+ }
110
+ }
checkpoint-500/generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 2,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 1,
6
+ 1,
7
+ 106
8
+ ],
9
+ "pad_token_id": 0,
10
+ "top_k": 64,
11
+ "top_p": 0.95,
12
+ "transformers_version": "4.56.1"
13
+ }
checkpoint-500/model-00001-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4847447e92599833e8dbaa3067cd201c3bb5c052efa91f11ba891e43234f7832
3
+ size 4979902192
checkpoint-500/model-00002-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:891bd54eed03cba9ee1e705533a02a8217fcc29f356e4a1f53e5fd0d178883ad
3
+ size 4931296592
checkpoint-500/model-00003-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7cee411d9d57324e50ce064a192cc5a858276d508611b12fc599e0c9767112e0
3
+ size 4931296656
checkpoint-500/model-00004-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8bc75a29a730c9e743cad013feda3b0991a913fafe787c58a1c6e20afad97723
3
+ size 4931296656
checkpoint-500/model-00005-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5f8f3d28f43b537a7bd6e9317fdda42c708ccbe2351686e33e727f583ba16a2d
3
+ size 4601000928
checkpoint-500/model.safetensors.index.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:73ccddc30a7c1acaf676fd7d23e94f5f2ed92e88d398eb30ff5cd824fb14d871
3
+ size 896607944
checkpoint-500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fde986f97ecc270a34049538e5bcb495edbc4e7f5914a76b3cad083de287dc73
3
+ size 14645
checkpoint-500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ddc00081d4f892d131a0d2b4d4827a214275362bfa62dfb8413f489c1bfad457
3
+ size 1465
checkpoint-500/special_tokens_map.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "boi_token": "<start_of_image>",
3
+ "bos_token": {
4
+ "content": "<bos>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false
9
+ },
10
+ "eoi_token": "<end_of_image>",
11
+ "eos_token": {
12
+ "content": "<eos>",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false
17
+ },
18
+ "image_token": "<image_soft_token>",
19
+ "pad_token": {
20
+ "content": "<pad>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false
25
+ },
26
+ "unk_token": {
27
+ "content": "<unk>",
28
+ "lstrip": false,
29
+ "normalized": false,
30
+ "rstrip": false,
31
+ "single_word": false
32
+ }
33
+ }
checkpoint-500/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
3
+ size 33384568
checkpoint-500/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
3
+ size 4689074
checkpoint-500/tokenizer_config.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-500/trainer_state.json ADDED
@@ -0,0 +1,754 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.8,
6
+ "eval_steps": 100,
7
+ "global_step": 500,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "entropy": 1.0750614512711762,
14
+ "epoch": 0.016,
15
+ "grad_norm": 162.0,
16
+ "learning_rate": 6.000000000000001e-07,
17
+ "loss": 41.6591,
18
+ "mean_token_accuracy": 0.6122298210859298,
19
+ "num_tokens": 338352.0,
20
+ "step": 10
21
+ },
22
+ {
23
+ "entropy": 1.0839035604149103,
24
+ "epoch": 0.032,
25
+ "grad_norm": 155.0,
26
+ "learning_rate": 1.2666666666666669e-06,
27
+ "loss": 41.6397,
28
+ "mean_token_accuracy": 0.6166786661371588,
29
+ "num_tokens": 671193.0,
30
+ "step": 20
31
+ },
32
+ {
33
+ "entropy": 1.0894881710410118,
34
+ "epoch": 0.048,
35
+ "grad_norm": 132.0,
36
+ "learning_rate": 1.9333333333333336e-06,
37
+ "loss": 41.0461,
38
+ "mean_token_accuracy": 0.6147234473377466,
39
+ "num_tokens": 1001008.0,
40
+ "step": 30
41
+ },
42
+ {
43
+ "entropy": 1.138040168955922,
44
+ "epoch": 0.064,
45
+ "grad_norm": 126.0,
46
+ "learning_rate": 2.6e-06,
47
+ "loss": 41.8193,
48
+ "mean_token_accuracy": 0.6091248352080584,
49
+ "num_tokens": 1331208.0,
50
+ "step": 40
51
+ },
52
+ {
53
+ "entropy": 1.1673120155930519,
54
+ "epoch": 0.08,
55
+ "grad_norm": 114.5,
56
+ "learning_rate": 3.266666666666667e-06,
57
+ "loss": 39.7083,
58
+ "mean_token_accuracy": 0.6180085053667426,
59
+ "num_tokens": 1667532.0,
60
+ "step": 50
61
+ },
62
+ {
63
+ "entropy": 1.19383430108428,
64
+ "epoch": 0.096,
65
+ "grad_norm": 91.0,
66
+ "learning_rate": 3.9333333333333335e-06,
67
+ "loss": 37.505,
68
+ "mean_token_accuracy": 0.6295596646144986,
69
+ "num_tokens": 2007176.0,
70
+ "step": 60
71
+ },
72
+ {
73
+ "entropy": 1.354680097848177,
74
+ "epoch": 0.112,
75
+ "grad_norm": 78.5,
76
+ "learning_rate": 4.600000000000001e-06,
77
+ "loss": 37.0959,
78
+ "mean_token_accuracy": 0.6256176400929689,
79
+ "num_tokens": 2342259.0,
80
+ "step": 70
81
+ },
82
+ {
83
+ "entropy": 1.6070489153265952,
84
+ "epoch": 0.128,
85
+ "grad_norm": 55.0,
86
+ "learning_rate": 5.2666666666666665e-06,
87
+ "loss": 36.6385,
88
+ "mean_token_accuracy": 0.6223620869219303,
89
+ "num_tokens": 2663987.0,
90
+ "step": 80
91
+ },
92
+ {
93
+ "entropy": 1.682814510539174,
94
+ "epoch": 0.144,
95
+ "grad_norm": 37.0,
96
+ "learning_rate": 5.933333333333335e-06,
97
+ "loss": 32.9488,
98
+ "mean_token_accuracy": 0.6449975268915296,
99
+ "num_tokens": 2997824.0,
100
+ "step": 90
101
+ },
102
+ {
103
+ "entropy": 1.7247826386243106,
104
+ "epoch": 0.16,
105
+ "grad_norm": 32.0,
106
+ "learning_rate": 6.600000000000001e-06,
107
+ "loss": 30.8315,
108
+ "mean_token_accuracy": 0.6568072270601988,
109
+ "num_tokens": 3330597.0,
110
+ "step": 100
111
+ },
112
+ {
113
+ "epoch": 0.16,
114
+ "eval_biology_entropy": 3.8070496501922606,
115
+ "eval_biology_loss": 4.702436447143555,
116
+ "eval_biology_mean_token_accuracy": 0.3792178168296814,
117
+ "eval_biology_num_tokens": 3330597.0,
118
+ "eval_biology_runtime": 57.2423,
119
+ "eval_biology_samples_per_second": 8.735,
120
+ "eval_biology_steps_per_second": 2.184,
121
+ "step": 100
122
+ },
123
+ {
124
+ "epoch": 0.16,
125
+ "eval_chemistry_entropy": 2.312845594406128,
126
+ "eval_chemistry_loss": 2.5579307079315186,
127
+ "eval_chemistry_mean_token_accuracy": 0.5897436618804932,
128
+ "eval_chemistry_num_tokens": 3330597.0,
129
+ "eval_chemistry_runtime": 71.9394,
130
+ "eval_chemistry_samples_per_second": 6.95,
131
+ "eval_chemistry_steps_per_second": 1.738,
132
+ "step": 100
133
+ },
134
+ {
135
+ "epoch": 0.16,
136
+ "eval_math_entropy": 1.3987004208564757,
137
+ "eval_math_loss": 1.9521548748016357,
138
+ "eval_math_mean_token_accuracy": 0.6628584680557251,
139
+ "eval_math_num_tokens": 3330597.0,
140
+ "eval_math_runtime": 74.5287,
141
+ "eval_math_samples_per_second": 6.709,
142
+ "eval_math_steps_per_second": 1.677,
143
+ "step": 100
144
+ },
145
+ {
146
+ "epoch": 0.16,
147
+ "eval_physics_entropy": 1.725432638168335,
148
+ "eval_physics_loss": 1.8779996633529663,
149
+ "eval_physics_mean_token_accuracy": 0.6590415091514588,
150
+ "eval_physics_num_tokens": 3330597.0,
151
+ "eval_physics_runtime": 85.2266,
152
+ "eval_physics_samples_per_second": 5.867,
153
+ "eval_physics_steps_per_second": 1.467,
154
+ "step": 100
155
+ },
156
+ {
157
+ "entropy": 1.7152024820446967,
158
+ "epoch": 0.176,
159
+ "grad_norm": 26.875,
160
+ "learning_rate": 7.266666666666668e-06,
161
+ "loss": 29.6512,
162
+ "mean_token_accuracy": 0.6657887665554881,
163
+ "num_tokens": 3658264.0,
164
+ "step": 110
165
+ },
166
+ {
167
+ "entropy": 1.622603354603052,
168
+ "epoch": 0.192,
169
+ "grad_norm": 19.375,
170
+ "learning_rate": 7.933333333333334e-06,
171
+ "loss": 28.3031,
172
+ "mean_token_accuracy": 0.6764084205031395,
173
+ "num_tokens": 3995568.0,
174
+ "step": 120
175
+ },
176
+ {
177
+ "entropy": 1.555612001568079,
178
+ "epoch": 0.208,
179
+ "grad_norm": 19.875,
180
+ "learning_rate": 8.6e-06,
181
+ "loss": 26.6387,
182
+ "mean_token_accuracy": 0.6902163974940777,
183
+ "num_tokens": 4321436.0,
184
+ "step": 130
185
+ },
186
+ {
187
+ "entropy": 1.512053081765771,
188
+ "epoch": 0.224,
189
+ "grad_norm": 17.875,
190
+ "learning_rate": 9.266666666666667e-06,
191
+ "loss": 26.0858,
192
+ "mean_token_accuracy": 0.694270471855998,
193
+ "num_tokens": 4648491.0,
194
+ "step": 140
195
+ },
196
+ {
197
+ "entropy": 1.4869094472378492,
198
+ "epoch": 0.24,
199
+ "grad_norm": 19.75,
200
+ "learning_rate": 9.933333333333334e-06,
201
+ "loss": 25.4417,
202
+ "mean_token_accuracy": 0.6989999961107969,
203
+ "num_tokens": 4986175.0,
204
+ "step": 150
205
+ },
206
+ {
207
+ "entropy": 1.4632187210023404,
208
+ "epoch": 0.256,
209
+ "grad_norm": 19.375,
210
+ "learning_rate": 1.0600000000000002e-05,
211
+ "loss": 25.0091,
212
+ "mean_token_accuracy": 0.7029873106628657,
213
+ "num_tokens": 5329320.0,
214
+ "step": 160
215
+ },
216
+ {
217
+ "entropy": 1.4810095187276602,
218
+ "epoch": 0.272,
219
+ "grad_norm": 20.25,
220
+ "learning_rate": 1.1266666666666668e-05,
221
+ "loss": 25.2607,
222
+ "mean_token_accuracy": 0.7004018183797598,
223
+ "num_tokens": 5658796.0,
224
+ "step": 170
225
+ },
226
+ {
227
+ "entropy": 1.4340823762118817,
228
+ "epoch": 0.288,
229
+ "grad_norm": 18.25,
230
+ "learning_rate": 1.1933333333333335e-05,
231
+ "loss": 24.6883,
232
+ "mean_token_accuracy": 0.7079170107841491,
233
+ "num_tokens": 5980201.0,
234
+ "step": 180
235
+ },
236
+ {
237
+ "entropy": 1.4303428437560797,
238
+ "epoch": 0.304,
239
+ "grad_norm": 22.125,
240
+ "learning_rate": 1.2600000000000001e-05,
241
+ "loss": 24.4539,
242
+ "mean_token_accuracy": 0.7080751962959766,
243
+ "num_tokens": 6298858.0,
244
+ "step": 190
245
+ },
246
+ {
247
+ "entropy": 1.399438175559044,
248
+ "epoch": 0.32,
249
+ "grad_norm": 18.875,
250
+ "learning_rate": 1.3266666666666668e-05,
251
+ "loss": 23.9145,
252
+ "mean_token_accuracy": 0.7128454186022282,
253
+ "num_tokens": 6622798.0,
254
+ "step": 200
255
+ },
256
+ {
257
+ "epoch": 0.32,
258
+ "eval_biology_entropy": 3.444120632171631,
259
+ "eval_biology_loss": 4.076927661895752,
260
+ "eval_biology_mean_token_accuracy": 0.42938668751716613,
261
+ "eval_biology_num_tokens": 6622798.0,
262
+ "eval_biology_runtime": 57.3705,
263
+ "eval_biology_samples_per_second": 8.715,
264
+ "eval_biology_steps_per_second": 2.179,
265
+ "step": 200
266
+ },
267
+ {
268
+ "epoch": 0.32,
269
+ "eval_chemistry_entropy": 1.8959890480041504,
270
+ "eval_chemistry_loss": 2.08449649810791,
271
+ "eval_chemistry_mean_token_accuracy": 0.6399502665996551,
272
+ "eval_chemistry_num_tokens": 6622798.0,
273
+ "eval_chemistry_runtime": 71.8716,
274
+ "eval_chemistry_samples_per_second": 6.957,
275
+ "eval_chemistry_steps_per_second": 1.739,
276
+ "step": 200
277
+ },
278
+ {
279
+ "epoch": 0.32,
280
+ "eval_math_entropy": 1.2845887546539307,
281
+ "eval_math_loss": 1.6543570756912231,
282
+ "eval_math_mean_token_accuracy": 0.6954182968139648,
283
+ "eval_math_num_tokens": 6622798.0,
284
+ "eval_math_runtime": 74.7507,
285
+ "eval_math_samples_per_second": 6.689,
286
+ "eval_math_steps_per_second": 1.672,
287
+ "step": 200
288
+ },
289
+ {
290
+ "epoch": 0.32,
291
+ "eval_physics_entropy": 1.3866976137161255,
292
+ "eval_physics_loss": 1.4872251749038696,
293
+ "eval_physics_mean_token_accuracy": 0.7125752453804016,
294
+ "eval_physics_num_tokens": 6622798.0,
295
+ "eval_physics_runtime": 85.9206,
296
+ "eval_physics_samples_per_second": 5.819,
297
+ "eval_physics_steps_per_second": 1.455,
298
+ "step": 200
299
+ },
300
+ {
301
+ "entropy": 1.3804268836975098,
302
+ "epoch": 0.336,
303
+ "grad_norm": 18.5,
304
+ "learning_rate": 1.3933333333333334e-05,
305
+ "loss": 23.6643,
306
+ "mean_token_accuracy": 0.714659295603633,
307
+ "num_tokens": 6953611.0,
308
+ "step": 210
309
+ },
310
+ {
311
+ "entropy": 1.3354483414441347,
312
+ "epoch": 0.352,
313
+ "grad_norm": 18.125,
314
+ "learning_rate": 1.46e-05,
315
+ "loss": 22.9062,
316
+ "mean_token_accuracy": 0.722674485296011,
317
+ "num_tokens": 7290378.0,
318
+ "step": 220
319
+ },
320
+ {
321
+ "entropy": 1.3261277750134468,
322
+ "epoch": 0.368,
323
+ "grad_norm": 18.5,
324
+ "learning_rate": 1.5266666666666667e-05,
325
+ "loss": 22.7576,
326
+ "mean_token_accuracy": 0.7249834384769202,
327
+ "num_tokens": 7621082.0,
328
+ "step": 230
329
+ },
330
+ {
331
+ "entropy": 1.3795554626733064,
332
+ "epoch": 0.384,
333
+ "grad_norm": 17.875,
334
+ "learning_rate": 1.5933333333333336e-05,
335
+ "loss": 23.5828,
336
+ "mean_token_accuracy": 0.7127871386706829,
337
+ "num_tokens": 7955570.0,
338
+ "step": 240
339
+ },
340
+ {
341
+ "entropy": 1.3256618689745665,
342
+ "epoch": 0.4,
343
+ "grad_norm": 20.0,
344
+ "learning_rate": 1.66e-05,
345
+ "loss": 22.7361,
346
+ "mean_token_accuracy": 0.7222114279866219,
347
+ "num_tokens": 8291049.0,
348
+ "step": 250
349
+ },
350
+ {
351
+ "entropy": 1.298596952483058,
352
+ "epoch": 0.416,
353
+ "grad_norm": 22.0,
354
+ "learning_rate": 1.726666666666667e-05,
355
+ "loss": 22.2416,
356
+ "mean_token_accuracy": 0.7284637104719878,
357
+ "num_tokens": 8627310.0,
358
+ "step": 260
359
+ },
360
+ {
361
+ "entropy": 1.311914747953415,
362
+ "epoch": 0.432,
363
+ "grad_norm": 19.375,
364
+ "learning_rate": 1.7933333333333333e-05,
365
+ "loss": 22.4984,
366
+ "mean_token_accuracy": 0.7248033240437508,
367
+ "num_tokens": 8958371.0,
368
+ "step": 270
369
+ },
370
+ {
371
+ "entropy": 1.2482076751068234,
372
+ "epoch": 0.448,
373
+ "grad_norm": 18.0,
374
+ "learning_rate": 1.86e-05,
375
+ "loss": 21.4775,
376
+ "mean_token_accuracy": 0.7356370355933904,
377
+ "num_tokens": 9294388.0,
378
+ "step": 280
379
+ },
380
+ {
381
+ "entropy": 1.2598353076726199,
382
+ "epoch": 0.464,
383
+ "grad_norm": 20.5,
384
+ "learning_rate": 1.926666666666667e-05,
385
+ "loss": 21.5863,
386
+ "mean_token_accuracy": 0.7334068417549133,
387
+ "num_tokens": 9620366.0,
388
+ "step": 290
389
+ },
390
+ {
391
+ "entropy": 1.2661810796707869,
392
+ "epoch": 0.48,
393
+ "grad_norm": 19.5,
394
+ "learning_rate": 1.9933333333333334e-05,
395
+ "loss": 21.8336,
396
+ "mean_token_accuracy": 0.7298611674457789,
397
+ "num_tokens": 9955431.0,
398
+ "step": 300
399
+ },
400
+ {
401
+ "epoch": 0.48,
402
+ "eval_biology_entropy": 3.3976770553588866,
403
+ "eval_biology_loss": 3.904201030731201,
404
+ "eval_biology_mean_token_accuracy": 0.43922377967834475,
405
+ "eval_biology_num_tokens": 9955431.0,
406
+ "eval_biology_runtime": 57.4472,
407
+ "eval_biology_samples_per_second": 8.704,
408
+ "eval_biology_steps_per_second": 2.176,
409
+ "step": 300
410
+ },
411
+ {
412
+ "epoch": 0.48,
413
+ "eval_chemistry_entropy": 1.8206102285385133,
414
+ "eval_chemistry_loss": 1.956045389175415,
415
+ "eval_chemistry_mean_token_accuracy": 0.6531638257503509,
416
+ "eval_chemistry_num_tokens": 9955431.0,
417
+ "eval_chemistry_runtime": 71.9347,
418
+ "eval_chemistry_samples_per_second": 6.951,
419
+ "eval_chemistry_steps_per_second": 1.738,
420
+ "step": 300
421
+ },
422
+ {
423
+ "epoch": 0.48,
424
+ "eval_math_entropy": 1.2509758601188659,
425
+ "eval_math_loss": 1.5806307792663574,
426
+ "eval_math_mean_token_accuracy": 0.7045728435516357,
427
+ "eval_math_num_tokens": 9955431.0,
428
+ "eval_math_runtime": 75.0056,
429
+ "eval_math_samples_per_second": 6.666,
430
+ "eval_math_steps_per_second": 1.667,
431
+ "step": 300
432
+ },
433
+ {
434
+ "epoch": 0.48,
435
+ "eval_physics_entropy": 1.304166310787201,
436
+ "eval_physics_loss": 1.3740965127944946,
437
+ "eval_physics_mean_token_accuracy": 0.7282451548576355,
438
+ "eval_physics_num_tokens": 9955431.0,
439
+ "eval_physics_runtime": 85.2346,
440
+ "eval_physics_samples_per_second": 5.866,
441
+ "eval_physics_steps_per_second": 1.467,
442
+ "step": 300
443
+ },
444
+ {
445
+ "entropy": 1.2894000235944987,
446
+ "epoch": 0.496,
447
+ "grad_norm": 18.875,
448
+ "learning_rate": 1.9933333333333334e-05,
449
+ "loss": 22.125,
450
+ "mean_token_accuracy": 0.7272629871964454,
451
+ "num_tokens": 10289883.0,
452
+ "step": 310
453
+ },
454
+ {
455
+ "entropy": 1.258072443306446,
456
+ "epoch": 0.512,
457
+ "grad_norm": 20.5,
458
+ "learning_rate": 1.985925925925926e-05,
459
+ "loss": 21.7519,
460
+ "mean_token_accuracy": 0.7323984511196613,
461
+ "num_tokens": 10619468.0,
462
+ "step": 320
463
+ },
464
+ {
465
+ "entropy": 1.2734836369752884,
466
+ "epoch": 0.528,
467
+ "grad_norm": 16.375,
468
+ "learning_rate": 1.9785185185185187e-05,
469
+ "loss": 21.9114,
470
+ "mean_token_accuracy": 0.7292184431105853,
471
+ "num_tokens": 10944904.0,
472
+ "step": 330
473
+ },
474
+ {
475
+ "entropy": 1.2483941707760096,
476
+ "epoch": 0.544,
477
+ "grad_norm": 19.25,
478
+ "learning_rate": 1.971111111111111e-05,
479
+ "loss": 21.5727,
480
+ "mean_token_accuracy": 0.7335125673562288,
481
+ "num_tokens": 11266409.0,
482
+ "step": 340
483
+ },
484
+ {
485
+ "entropy": 1.2357387099415065,
486
+ "epoch": 0.56,
487
+ "grad_norm": 16.625,
488
+ "learning_rate": 1.963703703703704e-05,
489
+ "loss": 21.1173,
490
+ "mean_token_accuracy": 0.7381447162479162,
491
+ "num_tokens": 11605544.0,
492
+ "step": 350
493
+ },
494
+ {
495
+ "entropy": 1.2104782849550246,
496
+ "epoch": 0.576,
497
+ "grad_norm": 19.25,
498
+ "learning_rate": 1.9562962962962964e-05,
499
+ "loss": 20.9845,
500
+ "mean_token_accuracy": 0.740512777864933,
501
+ "num_tokens": 11931715.0,
502
+ "step": 360
503
+ },
504
+ {
505
+ "entropy": 1.2183124080300332,
506
+ "epoch": 0.592,
507
+ "grad_norm": 19.375,
508
+ "learning_rate": 1.948888888888889e-05,
509
+ "loss": 21.0928,
510
+ "mean_token_accuracy": 0.7366720300167799,
511
+ "num_tokens": 12257243.0,
512
+ "step": 370
513
+ },
514
+ {
515
+ "entropy": 1.2145392388105392,
516
+ "epoch": 0.608,
517
+ "grad_norm": 16.625,
518
+ "learning_rate": 1.9414814814814817e-05,
519
+ "loss": 20.8598,
520
+ "mean_token_accuracy": 0.740410690754652,
521
+ "num_tokens": 12583154.0,
522
+ "step": 380
523
+ },
524
+ {
525
+ "entropy": 1.2197224445641042,
526
+ "epoch": 0.624,
527
+ "grad_norm": 17.5,
528
+ "learning_rate": 1.9340740740740743e-05,
529
+ "loss": 21.1959,
530
+ "mean_token_accuracy": 0.7364733774214983,
531
+ "num_tokens": 12905392.0,
532
+ "step": 390
533
+ },
534
+ {
535
+ "entropy": 1.2305814437568188,
536
+ "epoch": 0.64,
537
+ "grad_norm": 18.625,
538
+ "learning_rate": 1.926666666666667e-05,
539
+ "loss": 21.2803,
540
+ "mean_token_accuracy": 0.7369419563561678,
541
+ "num_tokens": 13232198.0,
542
+ "step": 400
543
+ },
544
+ {
545
+ "epoch": 0.64,
546
+ "eval_biology_entropy": 3.2428079328536987,
547
+ "eval_biology_loss": 3.81221866607666,
548
+ "eval_biology_mean_token_accuracy": 0.44962965536117555,
549
+ "eval_biology_num_tokens": 13232198.0,
550
+ "eval_biology_runtime": 57.9921,
551
+ "eval_biology_samples_per_second": 8.622,
552
+ "eval_biology_steps_per_second": 2.155,
553
+ "step": 400
554
+ },
555
+ {
556
+ "epoch": 0.64,
557
+ "eval_chemistry_entropy": 1.71326642370224,
558
+ "eval_chemistry_loss": 1.8857945203781128,
559
+ "eval_chemistry_mean_token_accuracy": 0.6629956634044647,
560
+ "eval_chemistry_num_tokens": 13232198.0,
561
+ "eval_chemistry_runtime": 72.1018,
562
+ "eval_chemistry_samples_per_second": 6.935,
563
+ "eval_chemistry_steps_per_second": 1.734,
564
+ "step": 400
565
+ },
566
+ {
567
+ "epoch": 0.64,
568
+ "eval_math_entropy": 1.1944113321304322,
569
+ "eval_math_loss": 1.5440242290496826,
570
+ "eval_math_mean_token_accuracy": 0.7086545734405517,
571
+ "eval_math_num_tokens": 13232198.0,
572
+ "eval_math_runtime": 75.1501,
573
+ "eval_math_samples_per_second": 6.653,
574
+ "eval_math_steps_per_second": 1.663,
575
+ "step": 400
576
+ },
577
+ {
578
+ "epoch": 0.64,
579
+ "eval_physics_entropy": 1.211931779384613,
580
+ "eval_physics_loss": 1.3088711500167847,
581
+ "eval_physics_mean_token_accuracy": 0.737203718662262,
582
+ "eval_physics_num_tokens": 13232198.0,
583
+ "eval_physics_runtime": 85.7441,
584
+ "eval_physics_samples_per_second": 5.831,
585
+ "eval_physics_steps_per_second": 1.458,
586
+ "step": 400
587
+ },
588
+ {
589
+ "entropy": 1.2212170030921699,
590
+ "epoch": 0.656,
591
+ "grad_norm": 17.875,
592
+ "learning_rate": 1.9192592592592593e-05,
593
+ "loss": 20.9332,
594
+ "mean_token_accuracy": 0.7387504555284977,
595
+ "num_tokens": 13575902.0,
596
+ "step": 410
597
+ },
598
+ {
599
+ "entropy": 1.1882116444408894,
600
+ "epoch": 0.672,
601
+ "grad_norm": 20.25,
602
+ "learning_rate": 1.911851851851852e-05,
603
+ "loss": 20.6082,
604
+ "mean_token_accuracy": 0.743332651630044,
605
+ "num_tokens": 13895997.0,
606
+ "step": 420
607
+ },
608
+ {
609
+ "entropy": 1.207483420521021,
610
+ "epoch": 0.688,
611
+ "grad_norm": 18.0,
612
+ "learning_rate": 1.9044444444444446e-05,
613
+ "loss": 20.654,
614
+ "mean_token_accuracy": 0.7427127715200186,
615
+ "num_tokens": 14234888.0,
616
+ "step": 430
617
+ },
618
+ {
619
+ "entropy": 1.2052442319691181,
620
+ "epoch": 0.704,
621
+ "grad_norm": 19.0,
622
+ "learning_rate": 1.8970370370370372e-05,
623
+ "loss": 20.8893,
624
+ "mean_token_accuracy": 0.7387381002306939,
625
+ "num_tokens": 14567908.0,
626
+ "step": 440
627
+ },
628
+ {
629
+ "entropy": 1.181990123167634,
630
+ "epoch": 0.72,
631
+ "grad_norm": 21.625,
632
+ "learning_rate": 1.8896296296296295e-05,
633
+ "loss": 20.4926,
634
+ "mean_token_accuracy": 0.7439979754388333,
635
+ "num_tokens": 14882927.0,
636
+ "step": 450
637
+ },
638
+ {
639
+ "entropy": 1.1967087093740703,
640
+ "epoch": 0.736,
641
+ "grad_norm": 20.375,
642
+ "learning_rate": 1.8822222222222225e-05,
643
+ "loss": 20.5403,
644
+ "mean_token_accuracy": 0.7425415780395269,
645
+ "num_tokens": 15217342.0,
646
+ "step": 460
647
+ },
648
+ {
649
+ "entropy": 1.1514527130872012,
650
+ "epoch": 0.752,
651
+ "grad_norm": 16.75,
652
+ "learning_rate": 1.874814814814815e-05,
653
+ "loss": 19.9152,
654
+ "mean_token_accuracy": 0.7488316483795643,
655
+ "num_tokens": 15547710.0,
656
+ "step": 470
657
+ },
658
+ {
659
+ "entropy": 1.2158014349639417,
660
+ "epoch": 0.768,
661
+ "grad_norm": 21.375,
662
+ "learning_rate": 1.8674074074074075e-05,
663
+ "loss": 21.052,
664
+ "mean_token_accuracy": 0.7373728647828102,
665
+ "num_tokens": 15877177.0,
666
+ "step": 480
667
+ },
668
+ {
669
+ "entropy": 1.1517657596617936,
670
+ "epoch": 0.784,
671
+ "grad_norm": 16.125,
672
+ "learning_rate": 1.86e-05,
673
+ "loss": 19.9164,
674
+ "mean_token_accuracy": 0.7503607623279095,
675
+ "num_tokens": 16219640.0,
676
+ "step": 490
677
+ },
678
+ {
679
+ "entropy": 1.180898468568921,
680
+ "epoch": 0.8,
681
+ "grad_norm": 21.75,
682
+ "learning_rate": 1.8525925925925928e-05,
683
+ "loss": 20.3875,
684
+ "mean_token_accuracy": 0.7441588096320629,
685
+ "num_tokens": 16548261.0,
686
+ "step": 500
687
+ },
688
+ {
689
+ "epoch": 0.8,
690
+ "eval_biology_entropy": 3.2802926797866823,
691
+ "eval_biology_loss": 3.785775899887085,
692
+ "eval_biology_mean_token_accuracy": 0.4522908911705017,
693
+ "eval_biology_num_tokens": 16548261.0,
694
+ "eval_biology_runtime": 58.1484,
695
+ "eval_biology_samples_per_second": 8.599,
696
+ "eval_biology_steps_per_second": 2.15,
697
+ "step": 500
698
+ },
699
+ {
700
+ "epoch": 0.8,
701
+ "eval_chemistry_entropy": 1.712562572002411,
702
+ "eval_chemistry_loss": 1.8553112745285034,
703
+ "eval_chemistry_mean_token_accuracy": 0.6659346613883972,
704
+ "eval_chemistry_num_tokens": 16548261.0,
705
+ "eval_chemistry_runtime": 71.5095,
706
+ "eval_chemistry_samples_per_second": 6.992,
707
+ "eval_chemistry_steps_per_second": 1.748,
708
+ "step": 500
709
+ },
710
+ {
711
+ "epoch": 0.8,
712
+ "eval_math_entropy": 1.1794157824516296,
713
+ "eval_math_loss": 1.5209077596664429,
714
+ "eval_math_mean_token_accuracy": 0.7121200709342956,
715
+ "eval_math_num_tokens": 16548261.0,
716
+ "eval_math_runtime": 74.5115,
717
+ "eval_math_samples_per_second": 6.71,
718
+ "eval_math_steps_per_second": 1.678,
719
+ "step": 500
720
+ },
721
+ {
722
+ "epoch": 0.8,
723
+ "eval_physics_entropy": 1.1884380350112915,
724
+ "eval_physics_loss": 1.2718405723571777,
725
+ "eval_physics_mean_token_accuracy": 0.742140392780304,
726
+ "eval_physics_num_tokens": 16548261.0,
727
+ "eval_physics_runtime": 85.7525,
728
+ "eval_physics_samples_per_second": 5.831,
729
+ "eval_physics_steps_per_second": 1.458,
730
+ "step": 500
731
+ }
732
+ ],
733
+ "logging_steps": 10,
734
+ "max_steps": 3000,
735
+ "num_input_tokens_seen": 0,
736
+ "num_train_epochs": 5,
737
+ "save_steps": 500,
738
+ "stateful_callbacks": {
739
+ "TrainerControl": {
740
+ "args": {
741
+ "should_epoch_stop": false,
742
+ "should_evaluate": false,
743
+ "should_log": false,
744
+ "should_save": true,
745
+ "should_training_stop": false
746
+ },
747
+ "attributes": {}
748
+ }
749
+ },
750
+ "total_flos": 1.652179086470234e+18,
751
+ "train_batch_size": 4,
752
+ "trial_name": null,
753
+ "trial_params": null
754
+ }
checkpoint-500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:68b7ebb6d06a262dc65ac981478ebb127fce7280dd5c9ae636a3ea24f10d445b
3
+ size 6417