roonbug commited on
Commit
86bc1d0
·
verified ·
1 Parent(s): 017e084

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -35,3 +35,4 @@ saved_model/**/* 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
37
  checkpoint-1000/tokenizer.json 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
37
  checkpoint-1000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
38
+ checkpoint-1500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
checkpoint-1500/added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "<image_soft_token>": 262144
3
+ }
checkpoint-1500/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-1500/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-1500/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-1500/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-1500/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-1500/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-1500/model-00004-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dc217a6c7651381b75364f25e128bbb0e4ff9a9ac2a52b5da1144a272490f0b7
3
+ size 4931296656
checkpoint-1500/model-00005-of-00005.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:956c14f155a8eafa80f993c4243badf75882c108fd8a4c0c16ae389e2b899d79
3
+ size 4601000928
checkpoint-1500/model.safetensors.index.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3016cb395bdfefbb3b7af7e6a0ab867f0cb38feb94b7fc47486ce8fe306293fe
3
+ size 1793214689
checkpoint-1500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e18baad484d226f8ed089a4849ca70f9922b4c7d45ed627c4dfd43cb9bc6002
3
+ size 14645
checkpoint-1500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0c06b4f8f3b3f6004cf9db5f25ea010ea45540a89813f901db1e65629d2290fe
3
+ size 1465
checkpoint-1500/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-1500/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
3
+ size 33384568
checkpoint-1500/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
3
+ size 4689074
checkpoint-1500/tokenizer_config.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1500/trainer_state.json ADDED
@@ -0,0 +1,2194 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 2.4,
6
+ "eval_steps": 100,
7
+ "global_step": 1500,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "entropy": 1.1280501924455166,
14
+ "epoch": 0.016,
15
+ "grad_norm": 161.0,
16
+ "learning_rate": 6.000000000000001e-07,
17
+ "loss": 36.0968,
18
+ "mean_token_accuracy": 0.6165979273617268,
19
+ "num_tokens": 280941.0,
20
+ "step": 10
21
+ },
22
+ {
23
+ "entropy": 1.1705728020519017,
24
+ "epoch": 0.032,
25
+ "grad_norm": 146.0,
26
+ "learning_rate": 1.2666666666666669e-06,
27
+ "loss": 36.5572,
28
+ "mean_token_accuracy": 0.6121777599677444,
29
+ "num_tokens": 558056.0,
30
+ "step": 20
31
+ },
32
+ {
33
+ "entropy": 1.1892314109951259,
34
+ "epoch": 0.048,
35
+ "grad_norm": 135.0,
36
+ "learning_rate": 1.9333333333333336e-06,
37
+ "loss": 35.5667,
38
+ "mean_token_accuracy": 0.6162483215332031,
39
+ "num_tokens": 836753.0,
40
+ "step": 30
41
+ },
42
+ {
43
+ "entropy": 1.2923907738178968,
44
+ "epoch": 0.064,
45
+ "grad_norm": 106.0,
46
+ "learning_rate": 2.6e-06,
47
+ "loss": 34.4747,
48
+ "mean_token_accuracy": 0.6145394820719957,
49
+ "num_tokens": 1126446.0,
50
+ "step": 40
51
+ },
52
+ {
53
+ "entropy": 1.4465828079730272,
54
+ "epoch": 0.08,
55
+ "grad_norm": 86.5,
56
+ "learning_rate": 3.266666666666667e-06,
57
+ "loss": 32.2616,
58
+ "mean_token_accuracy": 0.6272102266550064,
59
+ "num_tokens": 1413596.0,
60
+ "step": 50
61
+ },
62
+ {
63
+ "entropy": 1.5344239331781864,
64
+ "epoch": 0.096,
65
+ "grad_norm": 54.25,
66
+ "learning_rate": 3.9333333333333335e-06,
67
+ "loss": 28.8152,
68
+ "mean_token_accuracy": 0.6551170501857996,
69
+ "num_tokens": 1701193.0,
70
+ "step": 60
71
+ },
72
+ {
73
+ "entropy": 1.5569457441568375,
74
+ "epoch": 0.112,
75
+ "grad_norm": 45.75,
76
+ "learning_rate": 4.600000000000001e-06,
77
+ "loss": 26.6094,
78
+ "mean_token_accuracy": 0.6667167004197836,
79
+ "num_tokens": 1979232.0,
80
+ "step": 70
81
+ },
82
+ {
83
+ "entropy": 1.4980619736015797,
84
+ "epoch": 0.128,
85
+ "grad_norm": 34.0,
86
+ "learning_rate": 5.2666666666666665e-06,
87
+ "loss": 25.0735,
88
+ "mean_token_accuracy": 0.6823939502239227,
89
+ "num_tokens": 2274177.0,
90
+ "step": 80
91
+ },
92
+ {
93
+ "entropy": 1.4427384316921235,
94
+ "epoch": 0.144,
95
+ "grad_norm": 29.75,
96
+ "learning_rate": 5.933333333333335e-06,
97
+ "loss": 23.2103,
98
+ "mean_token_accuracy": 0.6962548345327377,
99
+ "num_tokens": 2548445.0,
100
+ "step": 90
101
+ },
102
+ {
103
+ "entropy": 1.3565625827759504,
104
+ "epoch": 0.16,
105
+ "grad_norm": 30.875,
106
+ "learning_rate": 6.600000000000001e-06,
107
+ "loss": 21.4845,
108
+ "mean_token_accuracy": 0.7108539894223214,
109
+ "num_tokens": 2824418.0,
110
+ "step": 100
111
+ },
112
+ {
113
+ "epoch": 0.16,
114
+ "eval_biology_entropy": 3.535919818878174,
115
+ "eval_biology_loss": 5.02457332611084,
116
+ "eval_biology_mean_token_accuracy": 0.3542800180912018,
117
+ "eval_biology_num_tokens": 2824418.0,
118
+ "eval_biology_runtime": 49.6437,
119
+ "eval_biology_samples_per_second": 10.072,
120
+ "eval_biology_steps_per_second": 2.518,
121
+ "step": 100
122
+ },
123
+ {
124
+ "epoch": 0.16,
125
+ "eval_chemistry_entropy": 2.5280555896759034,
126
+ "eval_chemistry_loss": 2.8887903690338135,
127
+ "eval_chemistry_mean_token_accuracy": 0.5300401592254639,
128
+ "eval_chemistry_num_tokens": 2824418.0,
129
+ "eval_chemistry_runtime": 61.5471,
130
+ "eval_chemistry_samples_per_second": 8.124,
131
+ "eval_chemistry_steps_per_second": 2.031,
132
+ "step": 100
133
+ },
134
+ {
135
+ "epoch": 0.16,
136
+ "eval_math_entropy": 1.3736235461235047,
137
+ "eval_math_loss": 1.3470827341079712,
138
+ "eval_math_mean_token_accuracy": 0.7081305732727051,
139
+ "eval_math_num_tokens": 2824418.0,
140
+ "eval_math_runtime": 63.1282,
141
+ "eval_math_samples_per_second": 7.92,
142
+ "eval_math_steps_per_second": 1.98,
143
+ "step": 100
144
+ },
145
+ {
146
+ "epoch": 0.16,
147
+ "eval_physics_entropy": 2.064271595954895,
148
+ "eval_physics_loss": 2.1881864070892334,
149
+ "eval_physics_mean_token_accuracy": 0.6055651969909668,
150
+ "eval_physics_num_tokens": 2824418.0,
151
+ "eval_physics_runtime": 71.8769,
152
+ "eval_physics_samples_per_second": 6.956,
153
+ "eval_physics_steps_per_second": 1.739,
154
+ "step": 100
155
+ },
156
+ {
157
+ "entropy": 1.3322576396167278,
158
+ "epoch": 0.176,
159
+ "grad_norm": 23.25,
160
+ "learning_rate": 7.266666666666668e-06,
161
+ "loss": 20.9108,
162
+ "mean_token_accuracy": 0.7151085637509823,
163
+ "num_tokens": 3110313.0,
164
+ "step": 110
165
+ },
166
+ {
167
+ "entropy": 1.3247066088020802,
168
+ "epoch": 0.192,
169
+ "grad_norm": 23.625,
170
+ "learning_rate": 7.933333333333334e-06,
171
+ "loss": 20.6356,
172
+ "mean_token_accuracy": 0.7142969533801079,
173
+ "num_tokens": 3394170.0,
174
+ "step": 120
175
+ },
176
+ {
177
+ "entropy": 1.256456857919693,
178
+ "epoch": 0.208,
179
+ "grad_norm": 21.125,
180
+ "learning_rate": 8.6e-06,
181
+ "loss": 19.9583,
182
+ "mean_token_accuracy": 0.7226813279092312,
183
+ "num_tokens": 3673600.0,
184
+ "step": 130
185
+ },
186
+ {
187
+ "entropy": 1.2233942866325378,
188
+ "epoch": 0.224,
189
+ "grad_norm": 23.5,
190
+ "learning_rate": 9.266666666666667e-06,
191
+ "loss": 19.4829,
192
+ "mean_token_accuracy": 0.7258789885789156,
193
+ "num_tokens": 3953732.0,
194
+ "step": 140
195
+ },
196
+ {
197
+ "entropy": 1.1788023415952922,
198
+ "epoch": 0.24,
199
+ "grad_norm": 22.625,
200
+ "learning_rate": 9.933333333333334e-06,
201
+ "loss": 18.6617,
202
+ "mean_token_accuracy": 0.735758152604103,
203
+ "num_tokens": 4243655.0,
204
+ "step": 150
205
+ },
206
+ {
207
+ "entropy": 1.1358939699828625,
208
+ "epoch": 0.256,
209
+ "grad_norm": 21.25,
210
+ "learning_rate": 1.0600000000000002e-05,
211
+ "loss": 18.067,
212
+ "mean_token_accuracy": 0.7414251279085875,
213
+ "num_tokens": 4531471.0,
214
+ "step": 160
215
+ },
216
+ {
217
+ "entropy": 1.1413200695067645,
218
+ "epoch": 0.272,
219
+ "grad_norm": 18.75,
220
+ "learning_rate": 1.1266666666666668e-05,
221
+ "loss": 18.2054,
222
+ "mean_token_accuracy": 0.740831508487463,
223
+ "num_tokens": 4810284.0,
224
+ "step": 170
225
+ },
226
+ {
227
+ "entropy": 1.125382575765252,
228
+ "epoch": 0.288,
229
+ "grad_norm": 17.875,
230
+ "learning_rate": 1.1933333333333335e-05,
231
+ "loss": 17.7696,
232
+ "mean_token_accuracy": 0.7443546559661627,
233
+ "num_tokens": 5095104.0,
234
+ "step": 180
235
+ },
236
+ {
237
+ "entropy": 1.1154642656445504,
238
+ "epoch": 0.304,
239
+ "grad_norm": 17.125,
240
+ "learning_rate": 1.2600000000000001e-05,
241
+ "loss": 17.7511,
242
+ "mean_token_accuracy": 0.7442465547472239,
243
+ "num_tokens": 5383732.0,
244
+ "step": 190
245
+ },
246
+ {
247
+ "entropy": 1.0828186847269534,
248
+ "epoch": 0.32,
249
+ "grad_norm": 19.875,
250
+ "learning_rate": 1.3266666666666668e-05,
251
+ "loss": 17.2671,
252
+ "mean_token_accuracy": 0.7503975994884968,
253
+ "num_tokens": 5676334.0,
254
+ "step": 200
255
+ },
256
+ {
257
+ "epoch": 0.32,
258
+ "eval_biology_entropy": 3.6005834312438965,
259
+ "eval_biology_loss": 4.470179557800293,
260
+ "eval_biology_mean_token_accuracy": 0.3823731031417847,
261
+ "eval_biology_num_tokens": 5676334.0,
262
+ "eval_biology_runtime": 49.5338,
263
+ "eval_biology_samples_per_second": 10.094,
264
+ "eval_biology_steps_per_second": 2.524,
265
+ "step": 200
266
+ },
267
+ {
268
+ "epoch": 0.32,
269
+ "eval_chemistry_entropy": 2.351666664123535,
270
+ "eval_chemistry_loss": 2.5015459060668945,
271
+ "eval_chemistry_mean_token_accuracy": 0.5612157773971558,
272
+ "eval_chemistry_num_tokens": 5676334.0,
273
+ "eval_chemistry_runtime": 61.4417,
274
+ "eval_chemistry_samples_per_second": 8.138,
275
+ "eval_chemistry_steps_per_second": 2.034,
276
+ "step": 200
277
+ },
278
+ {
279
+ "epoch": 0.32,
280
+ "eval_math_entropy": 1.1107734112739562,
281
+ "eval_math_loss": 1.1035394668579102,
282
+ "eval_math_mean_token_accuracy": 0.744808388710022,
283
+ "eval_math_num_tokens": 5676334.0,
284
+ "eval_math_runtime": 63.0675,
285
+ "eval_math_samples_per_second": 7.928,
286
+ "eval_math_steps_per_second": 1.982,
287
+ "step": 200
288
+ },
289
+ {
290
+ "epoch": 0.32,
291
+ "eval_physics_entropy": 1.8196128549575805,
292
+ "eval_physics_loss": 1.8889656066894531,
293
+ "eval_physics_mean_token_accuracy": 0.6360980491638184,
294
+ "eval_physics_num_tokens": 5676334.0,
295
+ "eval_physics_runtime": 71.7937,
296
+ "eval_physics_samples_per_second": 6.964,
297
+ "eval_physics_steps_per_second": 1.741,
298
+ "step": 200
299
+ },
300
+ {
301
+ "entropy": 1.0973670542240144,
302
+ "epoch": 0.336,
303
+ "grad_norm": 19.0,
304
+ "learning_rate": 1.3933333333333334e-05,
305
+ "loss": 17.6111,
306
+ "mean_token_accuracy": 0.7442069798707962,
307
+ "num_tokens": 5958480.0,
308
+ "step": 210
309
+ },
310
+ {
311
+ "entropy": 1.064722668007016,
312
+ "epoch": 0.352,
313
+ "grad_norm": 18.25,
314
+ "learning_rate": 1.46e-05,
315
+ "loss": 16.8683,
316
+ "mean_token_accuracy": 0.752158772200346,
317
+ "num_tokens": 6242161.0,
318
+ "step": 220
319
+ },
320
+ {
321
+ "entropy": 1.0617528311908244,
322
+ "epoch": 0.368,
323
+ "grad_norm": 20.5,
324
+ "learning_rate": 1.5266666666666667e-05,
325
+ "loss": 16.9997,
326
+ "mean_token_accuracy": 0.751146937161684,
327
+ "num_tokens": 6523679.0,
328
+ "step": 230
329
+ },
330
+ {
331
+ "entropy": 1.0443669583648443,
332
+ "epoch": 0.384,
333
+ "grad_norm": 19.625,
334
+ "learning_rate": 1.5933333333333336e-05,
335
+ "loss": 16.6591,
336
+ "mean_token_accuracy": 0.7551476296037436,
337
+ "num_tokens": 6810978.0,
338
+ "step": 240
339
+ },
340
+ {
341
+ "entropy": 1.0753562293946743,
342
+ "epoch": 0.4,
343
+ "grad_norm": 17.875,
344
+ "learning_rate": 1.66e-05,
345
+ "loss": 17.4353,
346
+ "mean_token_accuracy": 0.7485508523881436,
347
+ "num_tokens": 7096903.0,
348
+ "step": 250
349
+ },
350
+ {
351
+ "entropy": 1.0416356481611728,
352
+ "epoch": 0.416,
353
+ "grad_norm": 17.375,
354
+ "learning_rate": 1.726666666666667e-05,
355
+ "loss": 16.623,
356
+ "mean_token_accuracy": 0.7539484884589911,
357
+ "num_tokens": 7377181.0,
358
+ "step": 260
359
+ },
360
+ {
361
+ "entropy": 1.0091398146003485,
362
+ "epoch": 0.432,
363
+ "grad_norm": 20.375,
364
+ "learning_rate": 1.7933333333333333e-05,
365
+ "loss": 16.1553,
366
+ "mean_token_accuracy": 0.7619809154421091,
367
+ "num_tokens": 7650523.0,
368
+ "step": 270
369
+ },
370
+ {
371
+ "entropy": 0.9927664395421744,
372
+ "epoch": 0.448,
373
+ "grad_norm": 20.75,
374
+ "learning_rate": 1.86e-05,
375
+ "loss": 15.9549,
376
+ "mean_token_accuracy": 0.7623589888215065,
377
+ "num_tokens": 7936788.0,
378
+ "step": 280
379
+ },
380
+ {
381
+ "entropy": 0.9981700140982867,
382
+ "epoch": 0.464,
383
+ "grad_norm": 21.75,
384
+ "learning_rate": 1.926666666666667e-05,
385
+ "loss": 16.1264,
386
+ "mean_token_accuracy": 0.761608887091279,
387
+ "num_tokens": 8223147.0,
388
+ "step": 290
389
+ },
390
+ {
391
+ "entropy": 1.0235895983874799,
392
+ "epoch": 0.48,
393
+ "grad_norm": 19.375,
394
+ "learning_rate": 1.9933333333333334e-05,
395
+ "loss": 16.2896,
396
+ "mean_token_accuracy": 0.7603169117122889,
397
+ "num_tokens": 8506030.0,
398
+ "step": 300
399
+ },
400
+ {
401
+ "epoch": 0.48,
402
+ "eval_biology_entropy": 3.66986682510376,
403
+ "eval_biology_loss": 4.148224353790283,
404
+ "eval_biology_mean_token_accuracy": 0.3987880692481995,
405
+ "eval_biology_num_tokens": 8506030.0,
406
+ "eval_biology_runtime": 49.5301,
407
+ "eval_biology_samples_per_second": 10.095,
408
+ "eval_biology_steps_per_second": 2.524,
409
+ "step": 300
410
+ },
411
+ {
412
+ "epoch": 0.48,
413
+ "eval_chemistry_entropy": 2.309468500137329,
414
+ "eval_chemistry_loss": 2.3434462547302246,
415
+ "eval_chemistry_mean_token_accuracy": 0.5782731935977936,
416
+ "eval_chemistry_num_tokens": 8506030.0,
417
+ "eval_chemistry_runtime": 61.4332,
418
+ "eval_chemistry_samples_per_second": 8.139,
419
+ "eval_chemistry_steps_per_second": 2.035,
420
+ "step": 300
421
+ },
422
+ {
423
+ "epoch": 0.48,
424
+ "eval_math_entropy": 1.007653223514557,
425
+ "eval_math_loss": 1.0127896070480347,
426
+ "eval_math_mean_token_accuracy": 0.7593745794296265,
427
+ "eval_math_num_tokens": 8506030.0,
428
+ "eval_math_runtime": 63.0217,
429
+ "eval_math_samples_per_second": 7.934,
430
+ "eval_math_steps_per_second": 1.983,
431
+ "step": 300
432
+ },
433
+ {
434
+ "epoch": 0.48,
435
+ "eval_physics_entropy": 1.7608964786529542,
436
+ "eval_physics_loss": 1.7697628736495972,
437
+ "eval_physics_mean_token_accuracy": 0.6516191956996917,
438
+ "eval_physics_num_tokens": 8506030.0,
439
+ "eval_physics_runtime": 71.8045,
440
+ "eval_physics_samples_per_second": 6.963,
441
+ "eval_physics_steps_per_second": 1.741,
442
+ "step": 300
443
+ },
444
+ {
445
+ "entropy": 0.9751624643802643,
446
+ "epoch": 0.496,
447
+ "grad_norm": 27.0,
448
+ "learning_rate": 1.9933333333333334e-05,
449
+ "loss": 15.6472,
450
+ "mean_token_accuracy": 0.7660828057676554,
451
+ "num_tokens": 8788726.0,
452
+ "step": 310
453
+ },
454
+ {
455
+ "entropy": 0.9841579314321279,
456
+ "epoch": 0.512,
457
+ "grad_norm": 19.5,
458
+ "learning_rate": 1.985925925925926e-05,
459
+ "loss": 15.7341,
460
+ "mean_token_accuracy": 0.765475382655859,
461
+ "num_tokens": 9078039.0,
462
+ "step": 320
463
+ },
464
+ {
465
+ "entropy": 0.9567954104393721,
466
+ "epoch": 0.528,
467
+ "grad_norm": 22.875,
468
+ "learning_rate": 1.9785185185185187e-05,
469
+ "loss": 15.3963,
470
+ "mean_token_accuracy": 0.7705613534897566,
471
+ "num_tokens": 9373860.0,
472
+ "step": 330
473
+ },
474
+ {
475
+ "entropy": 0.9622254882007837,
476
+ "epoch": 0.544,
477
+ "grad_norm": 20.625,
478
+ "learning_rate": 1.971111111111111e-05,
479
+ "loss": 15.6284,
480
+ "mean_token_accuracy": 0.7682077161967754,
481
+ "num_tokens": 9660940.0,
482
+ "step": 340
483
+ },
484
+ {
485
+ "entropy": 1.013891428336501,
486
+ "epoch": 0.56,
487
+ "grad_norm": 28.875,
488
+ "learning_rate": 1.963703703703704e-05,
489
+ "loss": 16.1123,
490
+ "mean_token_accuracy": 0.758896803110838,
491
+ "num_tokens": 9932302.0,
492
+ "step": 350
493
+ },
494
+ {
495
+ "entropy": 0.9643709316849709,
496
+ "epoch": 0.576,
497
+ "grad_norm": 20.0,
498
+ "learning_rate": 1.9562962962962964e-05,
499
+ "loss": 15.4925,
500
+ "mean_token_accuracy": 0.7669644717127084,
501
+ "num_tokens": 10215462.0,
502
+ "step": 360
503
+ },
504
+ {
505
+ "entropy": 0.9496656563133001,
506
+ "epoch": 0.592,
507
+ "grad_norm": 18.5,
508
+ "learning_rate": 1.948888888888889e-05,
509
+ "loss": 15.3772,
510
+ "mean_token_accuracy": 0.7689070332795381,
511
+ "num_tokens": 10504396.0,
512
+ "step": 370
513
+ },
514
+ {
515
+ "entropy": 0.9635139308869839,
516
+ "epoch": 0.608,
517
+ "grad_norm": 17.5,
518
+ "learning_rate": 1.9414814814814817e-05,
519
+ "loss": 15.4665,
520
+ "mean_token_accuracy": 0.768926914036274,
521
+ "num_tokens": 10793126.0,
522
+ "step": 380
523
+ },
524
+ {
525
+ "entropy": 0.9394328493624926,
526
+ "epoch": 0.624,
527
+ "grad_norm": 19.375,
528
+ "learning_rate": 1.9340740740740743e-05,
529
+ "loss": 15.1417,
530
+ "mean_token_accuracy": 0.7703750677406788,
531
+ "num_tokens": 11081768.0,
532
+ "step": 390
533
+ },
534
+ {
535
+ "entropy": 0.930184380710125,
536
+ "epoch": 0.64,
537
+ "grad_norm": 18.25,
538
+ "learning_rate": 1.926666666666667e-05,
539
+ "loss": 14.8657,
540
+ "mean_token_accuracy": 0.7726314965635538,
541
+ "num_tokens": 11370320.0,
542
+ "step": 400
543
+ },
544
+ {
545
+ "epoch": 0.64,
546
+ "eval_biology_entropy": 3.578768089294434,
547
+ "eval_biology_loss": 4.099727630615234,
548
+ "eval_biology_mean_token_accuracy": 0.4042117977142334,
549
+ "eval_biology_num_tokens": 11370320.0,
550
+ "eval_biology_runtime": 49.5083,
551
+ "eval_biology_samples_per_second": 10.099,
552
+ "eval_biology_steps_per_second": 2.525,
553
+ "step": 400
554
+ },
555
+ {
556
+ "epoch": 0.64,
557
+ "eval_chemistry_entropy": 2.1963028135299685,
558
+ "eval_chemistry_loss": 2.250903367996216,
559
+ "eval_chemistry_mean_token_accuracy": 0.588011109828949,
560
+ "eval_chemistry_num_tokens": 11370320.0,
561
+ "eval_chemistry_runtime": 61.4213,
562
+ "eval_chemistry_samples_per_second": 8.14,
563
+ "eval_chemistry_steps_per_second": 2.035,
564
+ "step": 400
565
+ },
566
+ {
567
+ "epoch": 0.64,
568
+ "eval_math_entropy": 0.9574988222122193,
569
+ "eval_math_loss": 0.9642173051834106,
570
+ "eval_math_mean_token_accuracy": 0.7676870808601379,
571
+ "eval_math_num_tokens": 11370320.0,
572
+ "eval_math_runtime": 62.9918,
573
+ "eval_math_samples_per_second": 7.938,
574
+ "eval_math_steps_per_second": 1.984,
575
+ "step": 400
576
+ },
577
+ {
578
+ "epoch": 0.64,
579
+ "eval_physics_entropy": 1.6637140741348266,
580
+ "eval_physics_loss": 1.7104088068008423,
581
+ "eval_physics_mean_token_accuracy": 0.6602483534812927,
582
+ "eval_physics_num_tokens": 11370320.0,
583
+ "eval_physics_runtime": 71.7644,
584
+ "eval_physics_samples_per_second": 6.967,
585
+ "eval_physics_steps_per_second": 1.742,
586
+ "step": 400
587
+ },
588
+ {
589
+ "entropy": 0.908730499073863,
590
+ "epoch": 0.656,
591
+ "grad_norm": 16.625,
592
+ "learning_rate": 1.9192592592592593e-05,
593
+ "loss": 14.6477,
594
+ "mean_token_accuracy": 0.7755995105952025,
595
+ "num_tokens": 11657835.0,
596
+ "step": 410
597
+ },
598
+ {
599
+ "entropy": 0.9500968560576439,
600
+ "epoch": 0.672,
601
+ "grad_norm": 18.25,
602
+ "learning_rate": 1.911851851851852e-05,
603
+ "loss": 15.2383,
604
+ "mean_token_accuracy": 0.769153194501996,
605
+ "num_tokens": 11949262.0,
606
+ "step": 420
607
+ },
608
+ {
609
+ "entropy": 0.9080810055136681,
610
+ "epoch": 0.688,
611
+ "grad_norm": 15.625,
612
+ "learning_rate": 1.9044444444444446e-05,
613
+ "loss": 14.6139,
614
+ "mean_token_accuracy": 0.7764004003256559,
615
+ "num_tokens": 12227640.0,
616
+ "step": 430
617
+ },
618
+ {
619
+ "entropy": 0.9170140367001295,
620
+ "epoch": 0.704,
621
+ "grad_norm": 17.625,
622
+ "learning_rate": 1.8970370370370372e-05,
623
+ "loss": 14.7655,
624
+ "mean_token_accuracy": 0.7752966023981571,
625
+ "num_tokens": 12516641.0,
626
+ "step": 440
627
+ },
628
+ {
629
+ "entropy": 0.9368526700884103,
630
+ "epoch": 0.72,
631
+ "grad_norm": 19.25,
632
+ "learning_rate": 1.8896296296296295e-05,
633
+ "loss": 15.134,
634
+ "mean_token_accuracy": 0.7706776697188615,
635
+ "num_tokens": 12793343.0,
636
+ "step": 450
637
+ },
638
+ {
639
+ "entropy": 0.9261821806430817,
640
+ "epoch": 0.736,
641
+ "grad_norm": 17.5,
642
+ "learning_rate": 1.8822222222222225e-05,
643
+ "loss": 14.833,
644
+ "mean_token_accuracy": 0.7745088890194893,
645
+ "num_tokens": 13077981.0,
646
+ "step": 460
647
+ },
648
+ {
649
+ "entropy": 0.9040410481393337,
650
+ "epoch": 0.752,
651
+ "grad_norm": 19.75,
652
+ "learning_rate": 1.874814814814815e-05,
653
+ "loss": 14.4907,
654
+ "mean_token_accuracy": 0.7791126936674118,
655
+ "num_tokens": 13358957.0,
656
+ "step": 470
657
+ },
658
+ {
659
+ "entropy": 0.8739457067102194,
660
+ "epoch": 0.768,
661
+ "grad_norm": 15.8125,
662
+ "learning_rate": 1.8674074074074075e-05,
663
+ "loss": 14.112,
664
+ "mean_token_accuracy": 0.7853138707578182,
665
+ "num_tokens": 13653412.0,
666
+ "step": 480
667
+ },
668
+ {
669
+ "entropy": 0.946398203074932,
670
+ "epoch": 0.784,
671
+ "grad_norm": 19.875,
672
+ "learning_rate": 1.86e-05,
673
+ "loss": 15.145,
674
+ "mean_token_accuracy": 0.7723897945135831,
675
+ "num_tokens": 13940856.0,
676
+ "step": 490
677
+ },
678
+ {
679
+ "entropy": 0.9361972361803055,
680
+ "epoch": 0.8,
681
+ "grad_norm": 19.625,
682
+ "learning_rate": 1.8525925925925928e-05,
683
+ "loss": 15.2105,
684
+ "mean_token_accuracy": 0.7712519209831953,
685
+ "num_tokens": 14230754.0,
686
+ "step": 500
687
+ },
688
+ {
689
+ "epoch": 0.8,
690
+ "eval_biology_entropy": 3.714933115005493,
691
+ "eval_biology_loss": 3.970184564590454,
692
+ "eval_biology_mean_token_accuracy": 0.41206827068328855,
693
+ "eval_biology_num_tokens": 14230754.0,
694
+ "eval_biology_runtime": 49.5281,
695
+ "eval_biology_samples_per_second": 10.095,
696
+ "eval_biology_steps_per_second": 2.524,
697
+ "step": 500
698
+ },
699
+ {
700
+ "epoch": 0.8,
701
+ "eval_chemistry_entropy": 2.237494807243347,
702
+ "eval_chemistry_loss": 2.1822235584259033,
703
+ "eval_chemistry_mean_token_accuracy": 0.5956678519248962,
704
+ "eval_chemistry_num_tokens": 14230754.0,
705
+ "eval_chemistry_runtime": 61.0757,
706
+ "eval_chemistry_samples_per_second": 8.187,
707
+ "eval_chemistry_steps_per_second": 2.047,
708
+ "step": 500
709
+ },
710
+ {
711
+ "epoch": 0.8,
712
+ "eval_math_entropy": 0.9503358464241027,
713
+ "eval_math_loss": 0.9351838827133179,
714
+ "eval_math_mean_token_accuracy": 0.7728546581268311,
715
+ "eval_math_num_tokens": 14230754.0,
716
+ "eval_math_runtime": 63.0753,
717
+ "eval_math_samples_per_second": 7.927,
718
+ "eval_math_steps_per_second": 1.982,
719
+ "step": 500
720
+ },
721
+ {
722
+ "epoch": 0.8,
723
+ "eval_physics_entropy": 1.6920014672279358,
724
+ "eval_physics_loss": 1.671562671661377,
725
+ "eval_physics_mean_token_accuracy": 0.6658579094409942,
726
+ "eval_physics_num_tokens": 14230754.0,
727
+ "eval_physics_runtime": 71.8921,
728
+ "eval_physics_samples_per_second": 6.955,
729
+ "eval_physics_steps_per_second": 1.739,
730
+ "step": 500
731
+ },
732
+ {
733
+ "entropy": 0.9170173428952694,
734
+ "epoch": 0.816,
735
+ "grad_norm": 18.625,
736
+ "learning_rate": 1.8451851851851855e-05,
737
+ "loss": 14.5639,
738
+ "mean_token_accuracy": 0.7766096990555524,
739
+ "num_tokens": 14519893.0,
740
+ "step": 510
741
+ },
742
+ {
743
+ "entropy": 0.9109945900738239,
744
+ "epoch": 0.832,
745
+ "grad_norm": 18.5,
746
+ "learning_rate": 1.8377777777777778e-05,
747
+ "loss": 14.6409,
748
+ "mean_token_accuracy": 0.7777223017066717,
749
+ "num_tokens": 14805088.0,
750
+ "step": 520
751
+ },
752
+ {
753
+ "entropy": 0.9337830897420645,
754
+ "epoch": 0.848,
755
+ "grad_norm": 19.0,
756
+ "learning_rate": 1.8303703703703704e-05,
757
+ "loss": 15.0412,
758
+ "mean_token_accuracy": 0.7716363571584225,
759
+ "num_tokens": 15086306.0,
760
+ "step": 530
761
+ },
762
+ {
763
+ "entropy": 0.9221564382314682,
764
+ "epoch": 0.864,
765
+ "grad_norm": 15.8125,
766
+ "learning_rate": 1.822962962962963e-05,
767
+ "loss": 14.7588,
768
+ "mean_token_accuracy": 0.7748291842639446,
769
+ "num_tokens": 15370985.0,
770
+ "step": 540
771
+ },
772
+ {
773
+ "entropy": 0.9273673612624407,
774
+ "epoch": 0.88,
775
+ "grad_norm": 21.0,
776
+ "learning_rate": 1.8155555555555557e-05,
777
+ "loss": 14.9233,
778
+ "mean_token_accuracy": 0.7736149989068508,
779
+ "num_tokens": 15653836.0,
780
+ "step": 550
781
+ },
782
+ {
783
+ "entropy": 0.9161856021732092,
784
+ "epoch": 0.896,
785
+ "grad_norm": 21.75,
786
+ "learning_rate": 1.8081481481481484e-05,
787
+ "loss": 14.7618,
788
+ "mean_token_accuracy": 0.7746457736939192,
789
+ "num_tokens": 15932179.0,
790
+ "step": 560
791
+ },
792
+ {
793
+ "entropy": 0.8957702405750751,
794
+ "epoch": 0.912,
795
+ "grad_norm": 18.75,
796
+ "learning_rate": 1.800740740740741e-05,
797
+ "loss": 14.2902,
798
+ "mean_token_accuracy": 0.7794793792068958,
799
+ "num_tokens": 16219842.0,
800
+ "step": 570
801
+ },
802
+ {
803
+ "entropy": 0.8888734232634306,
804
+ "epoch": 0.928,
805
+ "grad_norm": 20.875,
806
+ "learning_rate": 1.7933333333333333e-05,
807
+ "loss": 14.2919,
808
+ "mean_token_accuracy": 0.7802723813802004,
809
+ "num_tokens": 16499842.0,
810
+ "step": 580
811
+ },
812
+ {
813
+ "entropy": 0.9097447639331222,
814
+ "epoch": 0.944,
815
+ "grad_norm": 35.0,
816
+ "learning_rate": 1.785925925925926e-05,
817
+ "loss": 14.7214,
818
+ "mean_token_accuracy": 0.7760318968445062,
819
+ "num_tokens": 16781882.0,
820
+ "step": 590
821
+ },
822
+ {
823
+ "entropy": 0.9282805230468512,
824
+ "epoch": 0.96,
825
+ "grad_norm": 16.125,
826
+ "learning_rate": 1.7785185185185186e-05,
827
+ "loss": 14.8274,
828
+ "mean_token_accuracy": 0.7749283302575349,
829
+ "num_tokens": 17067407.0,
830
+ "step": 600
831
+ },
832
+ {
833
+ "epoch": 0.96,
834
+ "eval_biology_entropy": 3.4800376834869384,
835
+ "eval_biology_loss": 3.9260165691375732,
836
+ "eval_biology_mean_token_accuracy": 0.41479419231414794,
837
+ "eval_biology_num_tokens": 17067407.0,
838
+ "eval_biology_runtime": 49.593,
839
+ "eval_biology_samples_per_second": 10.082,
840
+ "eval_biology_steps_per_second": 2.521,
841
+ "step": 600
842
+ },
843
+ {
844
+ "epoch": 0.96,
845
+ "eval_chemistry_entropy": 2.062796443462372,
846
+ "eval_chemistry_loss": 2.1318087577819824,
847
+ "eval_chemistry_mean_token_accuracy": 0.6000087871551514,
848
+ "eval_chemistry_num_tokens": 17067407.0,
849
+ "eval_chemistry_runtime": 61.4719,
850
+ "eval_chemistry_samples_per_second": 8.134,
851
+ "eval_chemistry_steps_per_second": 2.033,
852
+ "step": 600
853
+ },
854
+ {
855
+ "epoch": 0.96,
856
+ "eval_math_entropy": 0.9119843735694885,
857
+ "eval_math_loss": 0.9157347679138184,
858
+ "eval_math_mean_token_accuracy": 0.7754620661735535,
859
+ "eval_math_num_tokens": 17067407.0,
860
+ "eval_math_runtime": 63.0502,
861
+ "eval_math_samples_per_second": 7.93,
862
+ "eval_math_steps_per_second": 1.983,
863
+ "step": 600
864
+ },
865
+ {
866
+ "epoch": 0.96,
867
+ "eval_physics_entropy": 1.5833718237876893,
868
+ "eval_physics_loss": 1.6547900438308716,
869
+ "eval_physics_mean_token_accuracy": 0.6688490805625915,
870
+ "eval_physics_num_tokens": 17067407.0,
871
+ "eval_physics_runtime": 72.0729,
872
+ "eval_physics_samples_per_second": 6.937,
873
+ "eval_physics_steps_per_second": 1.734,
874
+ "step": 600
875
+ },
876
+ {
877
+ "entropy": 0.8985319763422013,
878
+ "epoch": 0.976,
879
+ "grad_norm": 21.625,
880
+ "learning_rate": 1.7711111111111113e-05,
881
+ "loss": 14.4151,
882
+ "mean_token_accuracy": 0.7804601702839136,
883
+ "num_tokens": 17350994.0,
884
+ "step": 610
885
+ },
886
+ {
887
+ "entropy": 0.9126239087432623,
888
+ "epoch": 0.992,
889
+ "grad_norm": 18.0,
890
+ "learning_rate": 1.763703703703704e-05,
891
+ "loss": 14.6522,
892
+ "mean_token_accuracy": 0.7754363786429167,
893
+ "num_tokens": 17637514.0,
894
+ "step": 620
895
+ },
896
+ {
897
+ "entropy": 0.8935651954263448,
898
+ "epoch": 1.008,
899
+ "grad_norm": 17.375,
900
+ "learning_rate": 1.7562962962962962e-05,
901
+ "loss": 14.2584,
902
+ "mean_token_accuracy": 0.7789396952837706,
903
+ "num_tokens": 17926570.0,
904
+ "step": 630
905
+ },
906
+ {
907
+ "entropy": 0.8810664782300591,
908
+ "epoch": 1.024,
909
+ "grad_norm": 17.625,
910
+ "learning_rate": 1.7488888888888892e-05,
911
+ "loss": 14.0978,
912
+ "mean_token_accuracy": 0.7811610117554665,
913
+ "num_tokens": 18207652.0,
914
+ "step": 640
915
+ },
916
+ {
917
+ "entropy": 0.8790556967258454,
918
+ "epoch": 1.04,
919
+ "grad_norm": 20.375,
920
+ "learning_rate": 1.7414814814814815e-05,
921
+ "loss": 14.0815,
922
+ "mean_token_accuracy": 0.782483147084713,
923
+ "num_tokens": 18484931.0,
924
+ "step": 650
925
+ },
926
+ {
927
+ "entropy": 0.872769825719297,
928
+ "epoch": 1.056,
929
+ "grad_norm": 18.625,
930
+ "learning_rate": 1.7340740740740742e-05,
931
+ "loss": 14.2329,
932
+ "mean_token_accuracy": 0.7814408276230097,
933
+ "num_tokens": 18773457.0,
934
+ "step": 660
935
+ },
936
+ {
937
+ "entropy": 0.8854838136583567,
938
+ "epoch": 1.072,
939
+ "grad_norm": 19.125,
940
+ "learning_rate": 1.726666666666667e-05,
941
+ "loss": 14.1351,
942
+ "mean_token_accuracy": 0.7804106209427119,
943
+ "num_tokens": 19055365.0,
944
+ "step": 670
945
+ },
946
+ {
947
+ "entropy": 0.8737944336608052,
948
+ "epoch": 1.088,
949
+ "grad_norm": 16.625,
950
+ "learning_rate": 1.7192592592592595e-05,
951
+ "loss": 14.0953,
952
+ "mean_token_accuracy": 0.7833730541169643,
953
+ "num_tokens": 19345730.0,
954
+ "step": 680
955
+ },
956
+ {
957
+ "entropy": 0.8823883978649973,
958
+ "epoch": 1.104,
959
+ "grad_norm": 15.1875,
960
+ "learning_rate": 1.711851851851852e-05,
961
+ "loss": 14.1044,
962
+ "mean_token_accuracy": 0.7833204790949821,
963
+ "num_tokens": 19637390.0,
964
+ "step": 690
965
+ },
966
+ {
967
+ "entropy": 0.8538309209048748,
968
+ "epoch": 1.12,
969
+ "grad_norm": 19.5,
970
+ "learning_rate": 1.7044444444444445e-05,
971
+ "loss": 13.6987,
972
+ "mean_token_accuracy": 0.7868878465145827,
973
+ "num_tokens": 19923914.0,
974
+ "step": 700
975
+ },
976
+ {
977
+ "epoch": 1.12,
978
+ "eval_biology_entropy": 3.443337703704834,
979
+ "eval_biology_loss": 3.951155662536621,
980
+ "eval_biology_mean_token_accuracy": 0.4163366384506226,
981
+ "eval_biology_num_tokens": 19923914.0,
982
+ "eval_biology_runtime": 49.651,
983
+ "eval_biology_samples_per_second": 10.07,
984
+ "eval_biology_steps_per_second": 2.518,
985
+ "step": 700
986
+ },
987
+ {
988
+ "epoch": 1.12,
989
+ "eval_chemistry_entropy": 2.0116386432647704,
990
+ "eval_chemistry_loss": 2.1324052810668945,
991
+ "eval_chemistry_mean_token_accuracy": 0.6028851909637452,
992
+ "eval_chemistry_num_tokens": 19923914.0,
993
+ "eval_chemistry_runtime": 61.5705,
994
+ "eval_chemistry_samples_per_second": 8.121,
995
+ "eval_chemistry_steps_per_second": 2.03,
996
+ "step": 700
997
+ },
998
+ {
999
+ "epoch": 1.12,
1000
+ "eval_math_entropy": 0.8889193925857544,
1001
+ "eval_math_loss": 0.9035109877586365,
1002
+ "eval_math_mean_token_accuracy": 0.7773573837280273,
1003
+ "eval_math_num_tokens": 19923914.0,
1004
+ "eval_math_runtime": 63.1467,
1005
+ "eval_math_samples_per_second": 7.918,
1006
+ "eval_math_steps_per_second": 1.98,
1007
+ "step": 700
1008
+ },
1009
+ {
1010
+ "epoch": 1.12,
1011
+ "eval_physics_entropy": 1.5386076803207398,
1012
+ "eval_physics_loss": 1.6331955194473267,
1013
+ "eval_physics_mean_token_accuracy": 0.6719050664901733,
1014
+ "eval_physics_num_tokens": 19923914.0,
1015
+ "eval_physics_runtime": 72.2366,
1016
+ "eval_physics_samples_per_second": 6.922,
1017
+ "eval_physics_steps_per_second": 1.73,
1018
+ "step": 700
1019
+ },
1020
+ {
1021
+ "entropy": 0.8486799146980047,
1022
+ "epoch": 1.1360000000000001,
1023
+ "grad_norm": 18.375,
1024
+ "learning_rate": 1.697037037037037e-05,
1025
+ "loss": 13.6728,
1026
+ "mean_token_accuracy": 0.7864403679966927,
1027
+ "num_tokens": 20201892.0,
1028
+ "step": 710
1029
+ },
1030
+ {
1031
+ "entropy": 0.8742417544126511,
1032
+ "epoch": 1.152,
1033
+ "grad_norm": 20.0,
1034
+ "learning_rate": 1.6896296296296298e-05,
1035
+ "loss": 14.0206,
1036
+ "mean_token_accuracy": 0.7843449763953686,
1037
+ "num_tokens": 20490282.0,
1038
+ "step": 720
1039
+ },
1040
+ {
1041
+ "entropy": 0.8681927429512143,
1042
+ "epoch": 1.168,
1043
+ "grad_norm": 16.625,
1044
+ "learning_rate": 1.6822222222222224e-05,
1045
+ "loss": 13.9888,
1046
+ "mean_token_accuracy": 0.7844074387103319,
1047
+ "num_tokens": 20785786.0,
1048
+ "step": 730
1049
+ },
1050
+ {
1051
+ "entropy": 0.8594187637791038,
1052
+ "epoch": 1.184,
1053
+ "grad_norm": 20.875,
1054
+ "learning_rate": 1.6748148148148147e-05,
1055
+ "loss": 13.8341,
1056
+ "mean_token_accuracy": 0.7861495897173881,
1057
+ "num_tokens": 21074205.0,
1058
+ "step": 740
1059
+ },
1060
+ {
1061
+ "entropy": 0.853638318926096,
1062
+ "epoch": 1.2,
1063
+ "grad_norm": 20.25,
1064
+ "learning_rate": 1.6674074074074077e-05,
1065
+ "loss": 13.7126,
1066
+ "mean_token_accuracy": 0.7865742921829224,
1067
+ "num_tokens": 21369159.0,
1068
+ "step": 750
1069
+ },
1070
+ {
1071
+ "entropy": 0.8770630281418562,
1072
+ "epoch": 1.216,
1073
+ "grad_norm": 23.25,
1074
+ "learning_rate": 1.66e-05,
1075
+ "loss": 14.0894,
1076
+ "mean_token_accuracy": 0.7835288234055042,
1077
+ "num_tokens": 21649178.0,
1078
+ "step": 760
1079
+ },
1080
+ {
1081
+ "entropy": 0.8497887661680579,
1082
+ "epoch": 1.232,
1083
+ "grad_norm": 19.25,
1084
+ "learning_rate": 1.6525925925925927e-05,
1085
+ "loss": 13.5638,
1086
+ "mean_token_accuracy": 0.7882835403084755,
1087
+ "num_tokens": 21930239.0,
1088
+ "step": 770
1089
+ },
1090
+ {
1091
+ "entropy": 0.8405620498582721,
1092
+ "epoch": 1.248,
1093
+ "grad_norm": 17.875,
1094
+ "learning_rate": 1.6451851851851853e-05,
1095
+ "loss": 13.5058,
1096
+ "mean_token_accuracy": 0.7887706879526377,
1097
+ "num_tokens": 22216387.0,
1098
+ "step": 780
1099
+ },
1100
+ {
1101
+ "entropy": 0.8788484372198582,
1102
+ "epoch": 1.264,
1103
+ "grad_norm": 20.125,
1104
+ "learning_rate": 1.637777777777778e-05,
1105
+ "loss": 14.209,
1106
+ "mean_token_accuracy": 0.7804543025791645,
1107
+ "num_tokens": 22501002.0,
1108
+ "step": 790
1109
+ },
1110
+ {
1111
+ "entropy": 0.8771140918135643,
1112
+ "epoch": 1.28,
1113
+ "grad_norm": 22.25,
1114
+ "learning_rate": 1.6303703703703706e-05,
1115
+ "loss": 13.9869,
1116
+ "mean_token_accuracy": 0.7842618364840745,
1117
+ "num_tokens": 22779682.0,
1118
+ "step": 800
1119
+ },
1120
+ {
1121
+ "epoch": 1.28,
1122
+ "eval_biology_entropy": 3.436663423538208,
1123
+ "eval_biology_loss": 3.9039478302001953,
1124
+ "eval_biology_mean_token_accuracy": 0.41795943784713746,
1125
+ "eval_biology_num_tokens": 22779682.0,
1126
+ "eval_biology_runtime": 49.6843,
1127
+ "eval_biology_samples_per_second": 10.064,
1128
+ "eval_biology_steps_per_second": 2.516,
1129
+ "step": 800
1130
+ },
1131
+ {
1132
+ "epoch": 1.28,
1133
+ "eval_chemistry_entropy": 1.97736017036438,
1134
+ "eval_chemistry_loss": 2.080076217651367,
1135
+ "eval_chemistry_mean_token_accuracy": 0.606924372434616,
1136
+ "eval_chemistry_num_tokens": 22779682.0,
1137
+ "eval_chemistry_runtime": 61.5504,
1138
+ "eval_chemistry_samples_per_second": 8.123,
1139
+ "eval_chemistry_steps_per_second": 2.031,
1140
+ "step": 800
1141
+ },
1142
+ {
1143
+ "epoch": 1.28,
1144
+ "eval_math_entropy": 0.8625033555030823,
1145
+ "eval_math_loss": 0.892142653465271,
1146
+ "eval_math_mean_token_accuracy": 0.7796395468711853,
1147
+ "eval_math_num_tokens": 22779682.0,
1148
+ "eval_math_runtime": 63.1583,
1149
+ "eval_math_samples_per_second": 7.917,
1150
+ "eval_math_steps_per_second": 1.979,
1151
+ "step": 800
1152
+ },
1153
+ {
1154
+ "epoch": 1.28,
1155
+ "eval_physics_entropy": 1.5225397615432739,
1156
+ "eval_physics_loss": 1.612709879875183,
1157
+ "eval_physics_mean_token_accuracy": 0.674011738061905,
1158
+ "eval_physics_num_tokens": 22779682.0,
1159
+ "eval_physics_runtime": 72.1546,
1160
+ "eval_physics_samples_per_second": 6.93,
1161
+ "eval_physics_steps_per_second": 1.732,
1162
+ "step": 800
1163
+ },
1164
+ {
1165
+ "entropy": 0.8474511569365859,
1166
+ "epoch": 1.296,
1167
+ "grad_norm": 17.75,
1168
+ "learning_rate": 1.622962962962963e-05,
1169
+ "loss": 13.6822,
1170
+ "mean_token_accuracy": 0.7866408120840788,
1171
+ "num_tokens": 23057744.0,
1172
+ "step": 810
1173
+ },
1174
+ {
1175
+ "entropy": 0.8580924984067678,
1176
+ "epoch": 1.312,
1177
+ "grad_norm": 21.5,
1178
+ "learning_rate": 1.6155555555555556e-05,
1179
+ "loss": 13.9676,
1180
+ "mean_token_accuracy": 0.7842281598597765,
1181
+ "num_tokens": 23344644.0,
1182
+ "step": 820
1183
+ },
1184
+ {
1185
+ "entropy": 0.8850870780646801,
1186
+ "epoch": 1.328,
1187
+ "grad_norm": 21.5,
1188
+ "learning_rate": 1.6081481481481482e-05,
1189
+ "loss": 14.0615,
1190
+ "mean_token_accuracy": 0.781786335259676,
1191
+ "num_tokens": 23622405.0,
1192
+ "step": 830
1193
+ },
1194
+ {
1195
+ "entropy": 0.8474001951515675,
1196
+ "epoch": 1.3439999999999999,
1197
+ "grad_norm": 18.25,
1198
+ "learning_rate": 1.600740740740741e-05,
1199
+ "loss": 13.6058,
1200
+ "mean_token_accuracy": 0.7873330093920231,
1201
+ "num_tokens": 23899771.0,
1202
+ "step": 840
1203
+ },
1204
+ {
1205
+ "entropy": 0.8435361562296748,
1206
+ "epoch": 1.3599999999999999,
1207
+ "grad_norm": 16.0,
1208
+ "learning_rate": 1.5933333333333336e-05,
1209
+ "loss": 13.6319,
1210
+ "mean_token_accuracy": 0.7882646590471267,
1211
+ "num_tokens": 24187023.0,
1212
+ "step": 850
1213
+ },
1214
+ {
1215
+ "entropy": 0.9156765401363373,
1216
+ "epoch": 1.376,
1217
+ "grad_norm": 21.5,
1218
+ "learning_rate": 1.5859259259259262e-05,
1219
+ "loss": 14.6843,
1220
+ "mean_token_accuracy": 0.7743376530706882,
1221
+ "num_tokens": 24466132.0,
1222
+ "step": 860
1223
+ },
1224
+ {
1225
+ "entropy": 0.8523435527458787,
1226
+ "epoch": 1.392,
1227
+ "grad_norm": 20.75,
1228
+ "learning_rate": 1.5785185185185185e-05,
1229
+ "loss": 13.6998,
1230
+ "mean_token_accuracy": 0.7863496944308281,
1231
+ "num_tokens": 24748043.0,
1232
+ "step": 870
1233
+ },
1234
+ {
1235
+ "entropy": 0.8375731509178876,
1236
+ "epoch": 1.408,
1237
+ "grad_norm": 21.125,
1238
+ "learning_rate": 1.571111111111111e-05,
1239
+ "loss": 13.5188,
1240
+ "mean_token_accuracy": 0.7898116644471884,
1241
+ "num_tokens": 25036674.0,
1242
+ "step": 880
1243
+ },
1244
+ {
1245
+ "entropy": 0.8376417780295015,
1246
+ "epoch": 1.424,
1247
+ "grad_norm": 15.25,
1248
+ "learning_rate": 1.5637037037037038e-05,
1249
+ "loss": 13.4567,
1250
+ "mean_token_accuracy": 0.7908716473728419,
1251
+ "num_tokens": 25324579.0,
1252
+ "step": 890
1253
+ },
1254
+ {
1255
+ "entropy": 0.8603908697143197,
1256
+ "epoch": 1.44,
1257
+ "grad_norm": 19.125,
1258
+ "learning_rate": 1.5562962962962965e-05,
1259
+ "loss": 13.9612,
1260
+ "mean_token_accuracy": 0.7841609816998243,
1261
+ "num_tokens": 25606824.0,
1262
+ "step": 900
1263
+ },
1264
+ {
1265
+ "epoch": 1.44,
1266
+ "eval_biology_entropy": 3.45110001373291,
1267
+ "eval_biology_loss": 3.8754560947418213,
1268
+ "eval_biology_mean_token_accuracy": 0.4207558875083923,
1269
+ "eval_biology_num_tokens": 25606824.0,
1270
+ "eval_biology_runtime": 49.6588,
1271
+ "eval_biology_samples_per_second": 10.069,
1272
+ "eval_biology_steps_per_second": 2.517,
1273
+ "step": 900
1274
+ },
1275
+ {
1276
+ "epoch": 1.44,
1277
+ "eval_chemistry_entropy": 1.9984806547164917,
1278
+ "eval_chemistry_loss": 2.088613748550415,
1279
+ "eval_chemistry_mean_token_accuracy": 0.607667599439621,
1280
+ "eval_chemistry_num_tokens": 25606824.0,
1281
+ "eval_chemistry_runtime": 61.604,
1282
+ "eval_chemistry_samples_per_second": 8.116,
1283
+ "eval_chemistry_steps_per_second": 2.029,
1284
+ "step": 900
1285
+ },
1286
+ {
1287
+ "epoch": 1.44,
1288
+ "eval_math_entropy": 0.8740571973323822,
1289
+ "eval_math_loss": 0.8836535811424255,
1290
+ "eval_math_mean_token_accuracy": 0.7810649185180664,
1291
+ "eval_math_num_tokens": 25606824.0,
1292
+ "eval_math_runtime": 63.1568,
1293
+ "eval_math_samples_per_second": 7.917,
1294
+ "eval_math_steps_per_second": 1.979,
1295
+ "step": 900
1296
+ },
1297
+ {
1298
+ "epoch": 1.44,
1299
+ "eval_physics_entropy": 1.533125587463379,
1300
+ "eval_physics_loss": 1.6004778146743774,
1301
+ "eval_physics_mean_token_accuracy": 0.6762587761878968,
1302
+ "eval_physics_num_tokens": 25606824.0,
1303
+ "eval_physics_runtime": 71.9331,
1304
+ "eval_physics_samples_per_second": 6.951,
1305
+ "eval_physics_steps_per_second": 1.738,
1306
+ "step": 900
1307
+ },
1308
+ {
1309
+ "entropy": 0.8511543165892362,
1310
+ "epoch": 1.456,
1311
+ "grad_norm": 16.125,
1312
+ "learning_rate": 1.548888888888889e-05,
1313
+ "loss": 13.5133,
1314
+ "mean_token_accuracy": 0.7876119159162045,
1315
+ "num_tokens": 25886396.0,
1316
+ "step": 910
1317
+ },
1318
+ {
1319
+ "entropy": 0.8463271845132112,
1320
+ "epoch": 1.472,
1321
+ "grad_norm": 17.75,
1322
+ "learning_rate": 1.5414814814814814e-05,
1323
+ "loss": 13.5862,
1324
+ "mean_token_accuracy": 0.787867683917284,
1325
+ "num_tokens": 26163618.0,
1326
+ "step": 920
1327
+ },
1328
+ {
1329
+ "entropy": 0.8713837819173932,
1330
+ "epoch": 1.488,
1331
+ "grad_norm": 20.125,
1332
+ "learning_rate": 1.5340740740740744e-05,
1333
+ "loss": 14.1889,
1334
+ "mean_token_accuracy": 0.7813853111118079,
1335
+ "num_tokens": 26438338.0,
1336
+ "step": 930
1337
+ },
1338
+ {
1339
+ "entropy": 0.834681292809546,
1340
+ "epoch": 1.504,
1341
+ "grad_norm": 21.875,
1342
+ "learning_rate": 1.5266666666666667e-05,
1343
+ "loss": 13.4447,
1344
+ "mean_token_accuracy": 0.7905492588877678,
1345
+ "num_tokens": 26729255.0,
1346
+ "step": 940
1347
+ },
1348
+ {
1349
+ "entropy": 0.8771929260343313,
1350
+ "epoch": 1.52,
1351
+ "grad_norm": 18.0,
1352
+ "learning_rate": 1.5192592592592594e-05,
1353
+ "loss": 14.0064,
1354
+ "mean_token_accuracy": 0.7831294402480126,
1355
+ "num_tokens": 27017935.0,
1356
+ "step": 950
1357
+ },
1358
+ {
1359
+ "entropy": 0.8460531679913401,
1360
+ "epoch": 1.536,
1361
+ "grad_norm": 16.125,
1362
+ "learning_rate": 1.5118518518518519e-05,
1363
+ "loss": 13.6594,
1364
+ "mean_token_accuracy": 0.786826192215085,
1365
+ "num_tokens": 27306339.0,
1366
+ "step": 960
1367
+ },
1368
+ {
1369
+ "entropy": 0.8540312614291906,
1370
+ "epoch": 1.552,
1371
+ "grad_norm": 18.75,
1372
+ "learning_rate": 1.5044444444444445e-05,
1373
+ "loss": 13.6638,
1374
+ "mean_token_accuracy": 0.7870731830596924,
1375
+ "num_tokens": 27591959.0,
1376
+ "step": 970
1377
+ },
1378
+ {
1379
+ "entropy": 0.8264467475935817,
1380
+ "epoch": 1.568,
1381
+ "grad_norm": 16.125,
1382
+ "learning_rate": 1.497037037037037e-05,
1383
+ "loss": 13.3238,
1384
+ "mean_token_accuracy": 0.7920118164271116,
1385
+ "num_tokens": 27884398.0,
1386
+ "step": 980
1387
+ },
1388
+ {
1389
+ "entropy": 0.8386921418830753,
1390
+ "epoch": 1.584,
1391
+ "grad_norm": 20.25,
1392
+ "learning_rate": 1.4896296296296298e-05,
1393
+ "loss": 13.5938,
1394
+ "mean_token_accuracy": 0.7884967364370823,
1395
+ "num_tokens": 28171274.0,
1396
+ "step": 990
1397
+ },
1398
+ {
1399
+ "entropy": 0.8454421229660511,
1400
+ "epoch": 1.6,
1401
+ "grad_norm": 21.125,
1402
+ "learning_rate": 1.4822222222222225e-05,
1403
+ "loss": 13.4115,
1404
+ "mean_token_accuracy": 0.7884562328457833,
1405
+ "num_tokens": 28457624.0,
1406
+ "step": 1000
1407
+ },
1408
+ {
1409
+ "epoch": 1.6,
1410
+ "eval_biology_entropy": 3.4279630908966063,
1411
+ "eval_biology_loss": 3.9252524375915527,
1412
+ "eval_biology_mean_token_accuracy": 0.42100021028518675,
1413
+ "eval_biology_num_tokens": 28457624.0,
1414
+ "eval_biology_runtime": 49.5484,
1415
+ "eval_biology_samples_per_second": 10.091,
1416
+ "eval_biology_steps_per_second": 2.523,
1417
+ "step": 1000
1418
+ },
1419
+ {
1420
+ "epoch": 1.6,
1421
+ "eval_chemistry_entropy": 1.9675587797164917,
1422
+ "eval_chemistry_loss": 2.0829849243164062,
1423
+ "eval_chemistry_mean_token_accuracy": 0.6087198803424835,
1424
+ "eval_chemistry_num_tokens": 28457624.0,
1425
+ "eval_chemistry_runtime": 60.8881,
1426
+ "eval_chemistry_samples_per_second": 8.212,
1427
+ "eval_chemistry_steps_per_second": 2.053,
1428
+ "step": 1000
1429
+ },
1430
+ {
1431
+ "epoch": 1.6,
1432
+ "eval_math_entropy": 0.858300416469574,
1433
+ "eval_math_loss": 0.8771592974662781,
1434
+ "eval_math_mean_token_accuracy": 0.7824492840766907,
1435
+ "eval_math_num_tokens": 28457624.0,
1436
+ "eval_math_runtime": 62.7471,
1437
+ "eval_math_samples_per_second": 7.968,
1438
+ "eval_math_steps_per_second": 1.992,
1439
+ "step": 1000
1440
+ },
1441
+ {
1442
+ "epoch": 1.6,
1443
+ "eval_physics_entropy": 1.5079545302391053,
1444
+ "eval_physics_loss": 1.5952943563461304,
1445
+ "eval_physics_mean_token_accuracy": 0.6772087650299072,
1446
+ "eval_physics_num_tokens": 28457624.0,
1447
+ "eval_physics_runtime": 71.6735,
1448
+ "eval_physics_samples_per_second": 6.976,
1449
+ "eval_physics_steps_per_second": 1.744,
1450
+ "step": 1000
1451
+ },
1452
+ {
1453
+ "entropy": 0.8404561445116997,
1454
+ "epoch": 1.616,
1455
+ "grad_norm": 17.0,
1456
+ "learning_rate": 1.474814814814815e-05,
1457
+ "loss": 13.6717,
1458
+ "mean_token_accuracy": 0.7868105556815863,
1459
+ "num_tokens": 28743099.0,
1460
+ "step": 1010
1461
+ },
1462
+ {
1463
+ "entropy": 0.8566132893785834,
1464
+ "epoch": 1.6320000000000001,
1465
+ "grad_norm": 19.0,
1466
+ "learning_rate": 1.4674074074074076e-05,
1467
+ "loss": 13.6689,
1468
+ "mean_token_accuracy": 0.7859214432537556,
1469
+ "num_tokens": 29017297.0,
1470
+ "step": 1020
1471
+ },
1472
+ {
1473
+ "entropy": 0.8290193160995841,
1474
+ "epoch": 1.6480000000000001,
1475
+ "grad_norm": 19.5,
1476
+ "learning_rate": 1.46e-05,
1477
+ "loss": 13.341,
1478
+ "mean_token_accuracy": 0.7918279275298119,
1479
+ "num_tokens": 29303707.0,
1480
+ "step": 1030
1481
+ },
1482
+ {
1483
+ "entropy": 0.8359301598742604,
1484
+ "epoch": 1.6640000000000001,
1485
+ "grad_norm": 19.25,
1486
+ "learning_rate": 1.4525925925925927e-05,
1487
+ "loss": 13.4233,
1488
+ "mean_token_accuracy": 0.7886226952075959,
1489
+ "num_tokens": 29597156.0,
1490
+ "step": 1040
1491
+ },
1492
+ {
1493
+ "entropy": 0.8554202366620303,
1494
+ "epoch": 1.6800000000000002,
1495
+ "grad_norm": 17.875,
1496
+ "learning_rate": 1.4451851851851852e-05,
1497
+ "loss": 13.7053,
1498
+ "mean_token_accuracy": 0.7881614901125431,
1499
+ "num_tokens": 29883879.0,
1500
+ "step": 1050
1501
+ },
1502
+ {
1503
+ "entropy": 0.8544707661494613,
1504
+ "epoch": 1.696,
1505
+ "grad_norm": 19.25,
1506
+ "learning_rate": 1.4377777777777779e-05,
1507
+ "loss": 13.8386,
1508
+ "mean_token_accuracy": 0.7859702635556459,
1509
+ "num_tokens": 30165760.0,
1510
+ "step": 1060
1511
+ },
1512
+ {
1513
+ "entropy": 0.8261727832257748,
1514
+ "epoch": 1.712,
1515
+ "grad_norm": 17.875,
1516
+ "learning_rate": 1.4303703703703703e-05,
1517
+ "loss": 13.3729,
1518
+ "mean_token_accuracy": 0.7911275729537011,
1519
+ "num_tokens": 30460367.0,
1520
+ "step": 1070
1521
+ },
1522
+ {
1523
+ "entropy": 0.8331544175744057,
1524
+ "epoch": 1.728,
1525
+ "grad_norm": 24.875,
1526
+ "learning_rate": 1.4229629629629632e-05,
1527
+ "loss": 13.2888,
1528
+ "mean_token_accuracy": 0.7924999501556158,
1529
+ "num_tokens": 30739137.0,
1530
+ "step": 1080
1531
+ },
1532
+ {
1533
+ "entropy": 0.8388408731669188,
1534
+ "epoch": 1.744,
1535
+ "grad_norm": 19.375,
1536
+ "learning_rate": 1.4155555555555556e-05,
1537
+ "loss": 13.4587,
1538
+ "mean_token_accuracy": 0.7895076658576727,
1539
+ "num_tokens": 31022663.0,
1540
+ "step": 1090
1541
+ },
1542
+ {
1543
+ "entropy": 0.8255633022636175,
1544
+ "epoch": 1.76,
1545
+ "grad_norm": 18.75,
1546
+ "learning_rate": 1.4081481481481483e-05,
1547
+ "loss": 13.2975,
1548
+ "mean_token_accuracy": 0.7897602036595345,
1549
+ "num_tokens": 31306494.0,
1550
+ "step": 1100
1551
+ },
1552
+ {
1553
+ "epoch": 1.76,
1554
+ "eval_biology_entropy": 3.4277304420471193,
1555
+ "eval_biology_loss": 3.8936383724212646,
1556
+ "eval_biology_mean_token_accuracy": 0.421789103269577,
1557
+ "eval_biology_num_tokens": 31306494.0,
1558
+ "eval_biology_runtime": 49.7293,
1559
+ "eval_biology_samples_per_second": 10.054,
1560
+ "eval_biology_steps_per_second": 2.514,
1561
+ "step": 1100
1562
+ },
1563
+ {
1564
+ "epoch": 1.76,
1565
+ "eval_chemistry_entropy": 1.9663724312782287,
1566
+ "eval_chemistry_loss": 2.0707342624664307,
1567
+ "eval_chemistry_mean_token_accuracy": 0.6100191533565521,
1568
+ "eval_chemistry_num_tokens": 31306494.0,
1569
+ "eval_chemistry_runtime": 61.6224,
1570
+ "eval_chemistry_samples_per_second": 8.114,
1571
+ "eval_chemistry_steps_per_second": 2.028,
1572
+ "step": 1100
1573
+ },
1574
+ {
1575
+ "epoch": 1.76,
1576
+ "eval_math_entropy": 0.8585206677913666,
1577
+ "eval_math_loss": 0.8713729381561279,
1578
+ "eval_math_mean_token_accuracy": 0.7834768991470337,
1579
+ "eval_math_num_tokens": 31306494.0,
1580
+ "eval_math_runtime": 63.1881,
1581
+ "eval_math_samples_per_second": 7.913,
1582
+ "eval_math_steps_per_second": 1.978,
1583
+ "step": 1100
1584
+ },
1585
+ {
1586
+ "epoch": 1.76,
1587
+ "eval_physics_entropy": 1.5165297889709473,
1588
+ "eval_physics_loss": 1.5930066108703613,
1589
+ "eval_physics_mean_token_accuracy": 0.6775295588970184,
1590
+ "eval_physics_num_tokens": 31306494.0,
1591
+ "eval_physics_runtime": 71.9549,
1592
+ "eval_physics_samples_per_second": 6.949,
1593
+ "eval_physics_steps_per_second": 1.737,
1594
+ "step": 1100
1595
+ },
1596
+ {
1597
+ "entropy": 0.8478734942153097,
1598
+ "epoch": 1.776,
1599
+ "grad_norm": 19.375,
1600
+ "learning_rate": 1.400740740740741e-05,
1601
+ "loss": 13.6126,
1602
+ "mean_token_accuracy": 0.7887870900332927,
1603
+ "num_tokens": 31595542.0,
1604
+ "step": 1110
1605
+ },
1606
+ {
1607
+ "entropy": 0.8505856825038791,
1608
+ "epoch": 1.792,
1609
+ "grad_norm": 18.0,
1610
+ "learning_rate": 1.3933333333333334e-05,
1611
+ "loss": 13.7357,
1612
+ "mean_token_accuracy": 0.785324577614665,
1613
+ "num_tokens": 31881189.0,
1614
+ "step": 1120
1615
+ },
1616
+ {
1617
+ "entropy": 0.8546114789322019,
1618
+ "epoch": 1.808,
1619
+ "grad_norm": 17.625,
1620
+ "learning_rate": 1.385925925925926e-05,
1621
+ "loss": 13.6904,
1622
+ "mean_token_accuracy": 0.7876242090016603,
1623
+ "num_tokens": 32164196.0,
1624
+ "step": 1130
1625
+ },
1626
+ {
1627
+ "entropy": 0.7973219279199839,
1628
+ "epoch": 1.8239999999999998,
1629
+ "grad_norm": 18.375,
1630
+ "learning_rate": 1.3785185185185186e-05,
1631
+ "loss": 12.8257,
1632
+ "mean_token_accuracy": 0.7969068605452776,
1633
+ "num_tokens": 32441530.0,
1634
+ "step": 1140
1635
+ },
1636
+ {
1637
+ "entropy": 0.8270328000187874,
1638
+ "epoch": 1.8399999999999999,
1639
+ "grad_norm": 20.0,
1640
+ "learning_rate": 1.3711111111111112e-05,
1641
+ "loss": 13.348,
1642
+ "mean_token_accuracy": 0.791271859779954,
1643
+ "num_tokens": 32723145.0,
1644
+ "step": 1150
1645
+ },
1646
+ {
1647
+ "entropy": 0.8601775204762816,
1648
+ "epoch": 1.8559999999999999,
1649
+ "grad_norm": 17.125,
1650
+ "learning_rate": 1.3637037037037037e-05,
1651
+ "loss": 13.7437,
1652
+ "mean_token_accuracy": 0.7868250191211701,
1653
+ "num_tokens": 33011263.0,
1654
+ "step": 1160
1655
+ },
1656
+ {
1657
+ "entropy": 0.8270715646445751,
1658
+ "epoch": 1.8719999999999999,
1659
+ "grad_norm": 17.375,
1660
+ "learning_rate": 1.3562962962962965e-05,
1661
+ "loss": 13.3305,
1662
+ "mean_token_accuracy": 0.7928860258311033,
1663
+ "num_tokens": 33298921.0,
1664
+ "step": 1170
1665
+ },
1666
+ {
1667
+ "entropy": 0.8495924055576325,
1668
+ "epoch": 1.888,
1669
+ "grad_norm": 20.375,
1670
+ "learning_rate": 1.3488888888888888e-05,
1671
+ "loss": 13.5645,
1672
+ "mean_token_accuracy": 0.7878689642995595,
1673
+ "num_tokens": 33576243.0,
1674
+ "step": 1180
1675
+ },
1676
+ {
1677
+ "entropy": 0.8353265527635813,
1678
+ "epoch": 1.904,
1679
+ "grad_norm": 17.0,
1680
+ "learning_rate": 1.3414814814814817e-05,
1681
+ "loss": 13.49,
1682
+ "mean_token_accuracy": 0.7885459426790475,
1683
+ "num_tokens": 33850968.0,
1684
+ "step": 1190
1685
+ },
1686
+ {
1687
+ "entropy": 0.8119674637913704,
1688
+ "epoch": 1.92,
1689
+ "grad_norm": 17.0,
1690
+ "learning_rate": 1.3340740740740741e-05,
1691
+ "loss": 13.0727,
1692
+ "mean_token_accuracy": 0.7935783289372921,
1693
+ "num_tokens": 34128558.0,
1694
+ "step": 1200
1695
+ },
1696
+ {
1697
+ "epoch": 1.92,
1698
+ "eval_biology_entropy": 3.3561630630493164,
1699
+ "eval_biology_loss": 3.8274106979370117,
1700
+ "eval_biology_mean_token_accuracy": 0.42412702322006224,
1701
+ "eval_biology_num_tokens": 34128558.0,
1702
+ "eval_biology_runtime": 50.4341,
1703
+ "eval_biology_samples_per_second": 9.914,
1704
+ "eval_biology_steps_per_second": 2.478,
1705
+ "step": 1200
1706
+ },
1707
+ {
1708
+ "epoch": 1.92,
1709
+ "eval_chemistry_entropy": 1.9330943393707276,
1710
+ "eval_chemistry_loss": 2.0680081844329834,
1711
+ "eval_chemistry_mean_token_accuracy": 0.6105219907760621,
1712
+ "eval_chemistry_num_tokens": 34128558.0,
1713
+ "eval_chemistry_runtime": 61.7645,
1714
+ "eval_chemistry_samples_per_second": 8.095,
1715
+ "eval_chemistry_steps_per_second": 2.024,
1716
+ "step": 1200
1717
+ },
1718
+ {
1719
+ "epoch": 1.92,
1720
+ "eval_math_entropy": 0.8534087224006652,
1721
+ "eval_math_loss": 0.8671056628227234,
1722
+ "eval_math_mean_token_accuracy": 0.7843804006576538,
1723
+ "eval_math_num_tokens": 34128558.0,
1724
+ "eval_math_runtime": 63.3435,
1725
+ "eval_math_samples_per_second": 7.893,
1726
+ "eval_math_steps_per_second": 1.973,
1727
+ "step": 1200
1728
+ },
1729
+ {
1730
+ "epoch": 1.92,
1731
+ "eval_physics_entropy": 1.501321719646454,
1732
+ "eval_physics_loss": 1.5970268249511719,
1733
+ "eval_physics_mean_token_accuracy": 0.677275146484375,
1734
+ "eval_physics_num_tokens": 34128558.0,
1735
+ "eval_physics_runtime": 71.8682,
1736
+ "eval_physics_samples_per_second": 6.957,
1737
+ "eval_physics_steps_per_second": 1.739,
1738
+ "step": 1200
1739
+ },
1740
+ {
1741
+ "entropy": 0.8420938113704324,
1742
+ "epoch": 1.936,
1743
+ "grad_norm": 23.0,
1744
+ "learning_rate": 1.3266666666666668e-05,
1745
+ "loss": 13.4465,
1746
+ "mean_token_accuracy": 0.7893414869904518,
1747
+ "num_tokens": 34408056.0,
1748
+ "step": 1210
1749
+ },
1750
+ {
1751
+ "entropy": 0.8260930391028524,
1752
+ "epoch": 1.952,
1753
+ "grad_norm": 20.25,
1754
+ "learning_rate": 1.3192592592592594e-05,
1755
+ "loss": 13.351,
1756
+ "mean_token_accuracy": 0.7903814427554607,
1757
+ "num_tokens": 34684679.0,
1758
+ "step": 1220
1759
+ },
1760
+ {
1761
+ "entropy": 0.854944153688848,
1762
+ "epoch": 1.968,
1763
+ "grad_norm": 20.25,
1764
+ "learning_rate": 1.311851851851852e-05,
1765
+ "loss": 13.8537,
1766
+ "mean_token_accuracy": 0.7848830681294203,
1767
+ "num_tokens": 34971038.0,
1768
+ "step": 1230
1769
+ },
1770
+ {
1771
+ "entropy": 0.8286283385008574,
1772
+ "epoch": 1.984,
1773
+ "grad_norm": 17.375,
1774
+ "learning_rate": 1.3044444444444446e-05,
1775
+ "loss": 13.2603,
1776
+ "mean_token_accuracy": 0.792245727404952,
1777
+ "num_tokens": 35262281.0,
1778
+ "step": 1240
1779
+ },
1780
+ {
1781
+ "entropy": 0.8108164651319385,
1782
+ "epoch": 2.0,
1783
+ "grad_norm": 23.5,
1784
+ "learning_rate": 1.297037037037037e-05,
1785
+ "loss": 13.0654,
1786
+ "mean_token_accuracy": 0.7937818571925164,
1787
+ "num_tokens": 35560864.0,
1788
+ "step": 1250
1789
+ },
1790
+ {
1791
+ "entropy": 0.8416191145777703,
1792
+ "epoch": 2.016,
1793
+ "grad_norm": 16.625,
1794
+ "learning_rate": 1.2896296296296299e-05,
1795
+ "loss": 13.4754,
1796
+ "mean_token_accuracy": 0.7906782515347004,
1797
+ "num_tokens": 35846704.0,
1798
+ "step": 1260
1799
+ },
1800
+ {
1801
+ "entropy": 0.8315626280382276,
1802
+ "epoch": 2.032,
1803
+ "grad_norm": 22.875,
1804
+ "learning_rate": 1.2822222222222222e-05,
1805
+ "loss": 13.3097,
1806
+ "mean_token_accuracy": 0.7906810797750949,
1807
+ "num_tokens": 36128775.0,
1808
+ "step": 1270
1809
+ },
1810
+ {
1811
+ "entropy": 0.8032516647130251,
1812
+ "epoch": 2.048,
1813
+ "grad_norm": 19.5,
1814
+ "learning_rate": 1.274814814814815e-05,
1815
+ "loss": 12.8687,
1816
+ "mean_token_accuracy": 0.7970194958150387,
1817
+ "num_tokens": 36419504.0,
1818
+ "step": 1280
1819
+ },
1820
+ {
1821
+ "entropy": 0.8010448306798935,
1822
+ "epoch": 2.064,
1823
+ "grad_norm": 18.625,
1824
+ "learning_rate": 1.2674074074074075e-05,
1825
+ "loss": 12.9604,
1826
+ "mean_token_accuracy": 0.7955828506499529,
1827
+ "num_tokens": 36706816.0,
1828
+ "step": 1290
1829
+ },
1830
+ {
1831
+ "entropy": 0.8162666315212845,
1832
+ "epoch": 2.08,
1833
+ "grad_norm": 18.875,
1834
+ "learning_rate": 1.2600000000000001e-05,
1835
+ "loss": 12.9645,
1836
+ "mean_token_accuracy": 0.7942825101315976,
1837
+ "num_tokens": 36988475.0,
1838
+ "step": 1300
1839
+ },
1840
+ {
1841
+ "epoch": 2.08,
1842
+ "eval_biology_entropy": 3.279397897720337,
1843
+ "eval_biology_loss": 3.8041577339172363,
1844
+ "eval_biology_mean_token_accuracy": 0.42471638417243956,
1845
+ "eval_biology_num_tokens": 36988475.0,
1846
+ "eval_biology_runtime": 49.9068,
1847
+ "eval_biology_samples_per_second": 10.019,
1848
+ "eval_biology_steps_per_second": 2.505,
1849
+ "step": 1300
1850
+ },
1851
+ {
1852
+ "epoch": 2.08,
1853
+ "eval_chemistry_entropy": 1.8754352440834046,
1854
+ "eval_chemistry_loss": 2.0649032592773438,
1855
+ "eval_chemistry_mean_token_accuracy": 0.6106975488662719,
1856
+ "eval_chemistry_num_tokens": 36988475.0,
1857
+ "eval_chemistry_runtime": 62.0223,
1858
+ "eval_chemistry_samples_per_second": 8.062,
1859
+ "eval_chemistry_steps_per_second": 2.015,
1860
+ "step": 1300
1861
+ },
1862
+ {
1863
+ "epoch": 2.08,
1864
+ "eval_math_entropy": 0.8302458760738373,
1865
+ "eval_math_loss": 0.8646599054336548,
1866
+ "eval_math_mean_token_accuracy": 0.7845497117042541,
1867
+ "eval_math_num_tokens": 36988475.0,
1868
+ "eval_math_runtime": 63.2985,
1869
+ "eval_math_samples_per_second": 7.899,
1870
+ "eval_math_steps_per_second": 1.975,
1871
+ "step": 1300
1872
+ },
1873
+ {
1874
+ "epoch": 2.08,
1875
+ "eval_physics_entropy": 1.449456007003784,
1876
+ "eval_physics_loss": 1.5842238664627075,
1877
+ "eval_physics_mean_token_accuracy": 0.6789066867828369,
1878
+ "eval_physics_num_tokens": 36988475.0,
1879
+ "eval_physics_runtime": 71.9415,
1880
+ "eval_physics_samples_per_second": 6.95,
1881
+ "eval_physics_steps_per_second": 1.738,
1882
+ "step": 1300
1883
+ },
1884
+ {
1885
+ "entropy": 0.8240997634828091,
1886
+ "epoch": 2.096,
1887
+ "grad_norm": 18.625,
1888
+ "learning_rate": 1.2525925925925928e-05,
1889
+ "loss": 13.3182,
1890
+ "mean_token_accuracy": 0.7931611612439156,
1891
+ "num_tokens": 37270131.0,
1892
+ "step": 1310
1893
+ },
1894
+ {
1895
+ "entropy": 0.7984889261424541,
1896
+ "epoch": 2.112,
1897
+ "grad_norm": 17.125,
1898
+ "learning_rate": 1.2451851851851853e-05,
1899
+ "loss": 12.8484,
1900
+ "mean_token_accuracy": 0.7954089492559433,
1901
+ "num_tokens": 37563537.0,
1902
+ "step": 1320
1903
+ },
1904
+ {
1905
+ "entropy": 0.7992523608729243,
1906
+ "epoch": 2.128,
1907
+ "grad_norm": 21.25,
1908
+ "learning_rate": 1.237777777777778e-05,
1909
+ "loss": 12.7652,
1910
+ "mean_token_accuracy": 0.7969741750508547,
1911
+ "num_tokens": 37843959.0,
1912
+ "step": 1330
1913
+ },
1914
+ {
1915
+ "entropy": 0.8009057834744453,
1916
+ "epoch": 2.144,
1917
+ "grad_norm": 18.125,
1918
+ "learning_rate": 1.2303703703703704e-05,
1919
+ "loss": 12.9337,
1920
+ "mean_token_accuracy": 0.7958127073943615,
1921
+ "num_tokens": 38133092.0,
1922
+ "step": 1340
1923
+ },
1924
+ {
1925
+ "entropy": 0.8111963203176856,
1926
+ "epoch": 2.16,
1927
+ "grad_norm": 17.0,
1928
+ "learning_rate": 1.222962962962963e-05,
1929
+ "loss": 12.9893,
1930
+ "mean_token_accuracy": 0.7958234615623951,
1931
+ "num_tokens": 38421229.0,
1932
+ "step": 1350
1933
+ },
1934
+ {
1935
+ "entropy": 0.7792808337137103,
1936
+ "epoch": 2.176,
1937
+ "grad_norm": 21.0,
1938
+ "learning_rate": 1.2155555555555555e-05,
1939
+ "loss": 12.5213,
1940
+ "mean_token_accuracy": 0.8006426334381104,
1941
+ "num_tokens": 38708043.0,
1942
+ "step": 1360
1943
+ },
1944
+ {
1945
+ "entropy": 0.807457305304706,
1946
+ "epoch": 2.192,
1947
+ "grad_norm": 18.0,
1948
+ "learning_rate": 1.2081481481481484e-05,
1949
+ "loss": 12.9771,
1950
+ "mean_token_accuracy": 0.7937675736844539,
1951
+ "num_tokens": 38996930.0,
1952
+ "step": 1370
1953
+ },
1954
+ {
1955
+ "entropy": 0.8185192277655006,
1956
+ "epoch": 2.208,
1957
+ "grad_norm": 33.25,
1958
+ "learning_rate": 1.2007407407407408e-05,
1959
+ "loss": 13.2358,
1960
+ "mean_token_accuracy": 0.7927701294422149,
1961
+ "num_tokens": 39279481.0,
1962
+ "step": 1380
1963
+ },
1964
+ {
1965
+ "entropy": 0.8069099761545658,
1966
+ "epoch": 2.224,
1967
+ "grad_norm": 20.875,
1968
+ "learning_rate": 1.1933333333333335e-05,
1969
+ "loss": 13.003,
1970
+ "mean_token_accuracy": 0.7952508442103863,
1971
+ "num_tokens": 39569030.0,
1972
+ "step": 1390
1973
+ },
1974
+ {
1975
+ "entropy": 0.8127697564661502,
1976
+ "epoch": 2.24,
1977
+ "grad_norm": 19.875,
1978
+ "learning_rate": 1.185925925925926e-05,
1979
+ "loss": 13.0199,
1980
+ "mean_token_accuracy": 0.7938791792839766,
1981
+ "num_tokens": 39854873.0,
1982
+ "step": 1400
1983
+ },
1984
+ {
1985
+ "epoch": 2.24,
1986
+ "eval_biology_entropy": 3.3652866687774656,
1987
+ "eval_biology_loss": 3.8636908531188965,
1988
+ "eval_biology_mean_token_accuracy": 0.42383125352859496,
1989
+ "eval_biology_num_tokens": 39854873.0,
1990
+ "eval_biology_runtime": 50.4898,
1991
+ "eval_biology_samples_per_second": 9.903,
1992
+ "eval_biology_steps_per_second": 2.476,
1993
+ "step": 1400
1994
+ },
1995
+ {
1996
+ "epoch": 2.24,
1997
+ "eval_chemistry_entropy": 1.9101995310783386,
1998
+ "eval_chemistry_loss": 2.068533182144165,
1999
+ "eval_chemistry_mean_token_accuracy": 0.6113230414390564,
2000
+ "eval_chemistry_num_tokens": 39854873.0,
2001
+ "eval_chemistry_runtime": 61.9928,
2002
+ "eval_chemistry_samples_per_second": 8.065,
2003
+ "eval_chemistry_steps_per_second": 2.016,
2004
+ "step": 1400
2005
+ },
2006
+ {
2007
+ "epoch": 2.24,
2008
+ "eval_math_entropy": 0.8333683574199676,
2009
+ "eval_math_loss": 0.862160861492157,
2010
+ "eval_math_mean_token_accuracy": 0.7853630857467652,
2011
+ "eval_math_num_tokens": 39854873.0,
2012
+ "eval_math_runtime": 63.6301,
2013
+ "eval_math_samples_per_second": 7.858,
2014
+ "eval_math_steps_per_second": 1.964,
2015
+ "step": 1400
2016
+ },
2017
+ {
2018
+ "epoch": 2.24,
2019
+ "eval_physics_entropy": 1.4711959066390992,
2020
+ "eval_physics_loss": 1.5825717449188232,
2021
+ "eval_physics_mean_token_accuracy": 0.6793005049228669,
2022
+ "eval_physics_num_tokens": 39854873.0,
2023
+ "eval_physics_runtime": 71.9736,
2024
+ "eval_physics_samples_per_second": 6.947,
2025
+ "eval_physics_steps_per_second": 1.737,
2026
+ "step": 1400
2027
+ },
2028
+ {
2029
+ "entropy": 0.8025357913225889,
2030
+ "epoch": 2.2560000000000002,
2031
+ "grad_norm": 17.875,
2032
+ "learning_rate": 1.1785185185185186e-05,
2033
+ "loss": 12.9019,
2034
+ "mean_token_accuracy": 0.7952509053051472,
2035
+ "num_tokens": 40141190.0,
2036
+ "step": 1410
2037
+ },
2038
+ {
2039
+ "entropy": 0.8296092342585325,
2040
+ "epoch": 2.2720000000000002,
2041
+ "grad_norm": 23.625,
2042
+ "learning_rate": 1.1711111111111113e-05,
2043
+ "loss": 13.3226,
2044
+ "mean_token_accuracy": 0.7917913179844618,
2045
+ "num_tokens": 40415203.0,
2046
+ "step": 1420
2047
+ },
2048
+ {
2049
+ "entropy": 0.8058724822476506,
2050
+ "epoch": 2.288,
2051
+ "grad_norm": 18.75,
2052
+ "learning_rate": 1.1637037037037037e-05,
2053
+ "loss": 12.8907,
2054
+ "mean_token_accuracy": 0.7941552817821502,
2055
+ "num_tokens": 40702393.0,
2056
+ "step": 1430
2057
+ },
2058
+ {
2059
+ "entropy": 0.8097540365532041,
2060
+ "epoch": 2.304,
2061
+ "grad_norm": 22.125,
2062
+ "learning_rate": 1.1562962962962964e-05,
2063
+ "loss": 12.9914,
2064
+ "mean_token_accuracy": 0.7962609365582466,
2065
+ "num_tokens": 40982775.0,
2066
+ "step": 1440
2067
+ },
2068
+ {
2069
+ "entropy": 0.818249425292015,
2070
+ "epoch": 2.32,
2071
+ "grad_norm": 21.625,
2072
+ "learning_rate": 1.1488888888888889e-05,
2073
+ "loss": 13.1437,
2074
+ "mean_token_accuracy": 0.7941067516803741,
2075
+ "num_tokens": 41263356.0,
2076
+ "step": 1450
2077
+ },
2078
+ {
2079
+ "entropy": 0.8201307155191898,
2080
+ "epoch": 2.336,
2081
+ "grad_norm": 19.125,
2082
+ "learning_rate": 1.1414814814814817e-05,
2083
+ "loss": 13.226,
2084
+ "mean_token_accuracy": 0.7925650533288717,
2085
+ "num_tokens": 41545235.0,
2086
+ "step": 1460
2087
+ },
2088
+ {
2089
+ "entropy": 0.8251900613307953,
2090
+ "epoch": 2.352,
2091
+ "grad_norm": 20.0,
2092
+ "learning_rate": 1.1340740740740742e-05,
2093
+ "loss": 13.2799,
2094
+ "mean_token_accuracy": 0.7902849771082401,
2095
+ "num_tokens": 41833417.0,
2096
+ "step": 1470
2097
+ },
2098
+ {
2099
+ "entropy": 0.8109830755740404,
2100
+ "epoch": 2.368,
2101
+ "grad_norm": 20.375,
2102
+ "learning_rate": 1.1266666666666668e-05,
2103
+ "loss": 13.0504,
2104
+ "mean_token_accuracy": 0.7949678536504508,
2105
+ "num_tokens": 42117030.0,
2106
+ "step": 1480
2107
+ },
2108
+ {
2109
+ "entropy": 0.8299402013421059,
2110
+ "epoch": 2.384,
2111
+ "grad_norm": 24.75,
2112
+ "learning_rate": 1.1192592592592593e-05,
2113
+ "loss": 13.3754,
2114
+ "mean_token_accuracy": 0.7900113243609667,
2115
+ "num_tokens": 42410990.0,
2116
+ "step": 1490
2117
+ },
2118
+ {
2119
+ "entropy": 0.8205796327441931,
2120
+ "epoch": 2.4,
2121
+ "grad_norm": 21.5,
2122
+ "learning_rate": 1.111851851851852e-05,
2123
+ "loss": 13.1362,
2124
+ "mean_token_accuracy": 0.7933749638497829,
2125
+ "num_tokens": 42691890.0,
2126
+ "step": 1500
2127
+ },
2128
+ {
2129
+ "epoch": 2.4,
2130
+ "eval_biology_entropy": 3.2996106805801393,
2131
+ "eval_biology_loss": 3.817183494567871,
2132
+ "eval_biology_mean_token_accuracy": 0.42520643401145936,
2133
+ "eval_biology_num_tokens": 42691890.0,
2134
+ "eval_biology_runtime": 50.213,
2135
+ "eval_biology_samples_per_second": 9.958,
2136
+ "eval_biology_steps_per_second": 2.489,
2137
+ "step": 1500
2138
+ },
2139
+ {
2140
+ "epoch": 2.4,
2141
+ "eval_chemistry_entropy": 1.8643895120620728,
2142
+ "eval_chemistry_loss": 2.0574374198913574,
2143
+ "eval_chemistry_mean_token_accuracy": 0.6119919688701629,
2144
+ "eval_chemistry_num_tokens": 42691890.0,
2145
+ "eval_chemistry_runtime": 61.4954,
2146
+ "eval_chemistry_samples_per_second": 8.131,
2147
+ "eval_chemistry_steps_per_second": 2.033,
2148
+ "step": 1500
2149
+ },
2150
+ {
2151
+ "epoch": 2.4,
2152
+ "eval_math_entropy": 0.8184586379528046,
2153
+ "eval_math_loss": 0.8592761158943176,
2154
+ "eval_math_mean_token_accuracy": 0.7856973071098328,
2155
+ "eval_math_num_tokens": 42691890.0,
2156
+ "eval_math_runtime": 63.4025,
2157
+ "eval_math_samples_per_second": 7.886,
2158
+ "eval_math_steps_per_second": 1.972,
2159
+ "step": 1500
2160
+ },
2161
+ {
2162
+ "epoch": 2.4,
2163
+ "eval_physics_entropy": 1.4436475372314452,
2164
+ "eval_physics_loss": 1.5851181745529175,
2165
+ "eval_physics_mean_token_accuracy": 0.6786722614765167,
2166
+ "eval_physics_num_tokens": 42691890.0,
2167
+ "eval_physics_runtime": 71.9274,
2168
+ "eval_physics_samples_per_second": 6.951,
2169
+ "eval_physics_steps_per_second": 1.738,
2170
+ "step": 1500
2171
+ }
2172
+ ],
2173
+ "logging_steps": 10,
2174
+ "max_steps": 3000,
2175
+ "num_input_tokens_seen": 0,
2176
+ "num_train_epochs": 5,
2177
+ "save_steps": 500,
2178
+ "stateful_callbacks": {
2179
+ "TrainerControl": {
2180
+ "args": {
2181
+ "should_epoch_stop": false,
2182
+ "should_evaluate": false,
2183
+ "should_log": false,
2184
+ "should_save": true,
2185
+ "should_training_stop": false
2186
+ },
2187
+ "attributes": {}
2188
+ }
2189
+ },
2190
+ "total_flos": 4.3482460648143555e+18,
2191
+ "train_batch_size": 4,
2192
+ "trial_name": null,
2193
+ "trial_params": null
2194
+ }
checkpoint-1500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d1c008157b73be070634bdb117a0dc9153ffef3e4614d97e241f79e0382d3afe
3
+ size 6417