roonbug commited on
Commit
b9b97d1
·
verified ·
1 Parent(s): 45e3d22

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -37,3 +37,4 @@ 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
39
  checkpoint-2000/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
39
  checkpoint-2000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
40
+ checkpoint-2500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
checkpoint-2500/chat_template.jinja ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '
2
+ ' + message['content'] | trim + '<end_of_turn>
3
+ ' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model
4
+ '}}{% endif %}
checkpoint-2500/config.json ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Gemma2ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "attn_logit_softcapping": 50.0,
8
+ "bos_token_id": 2,
9
+ "cache_implementation": "hybrid",
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 1,
12
+ "final_logit_softcapping": 30.0,
13
+ "head_dim": 256,
14
+ "hidden_act": "gelu_pytorch_tanh",
15
+ "hidden_activation": "gelu_pytorch_tanh",
16
+ "hidden_size": 3584,
17
+ "initializer_range": 0.02,
18
+ "intermediate_size": 14336,
19
+ "layer_types": [
20
+ "sliding_attention",
21
+ "full_attention",
22
+ "sliding_attention",
23
+ "full_attention",
24
+ "sliding_attention",
25
+ "full_attention",
26
+ "sliding_attention",
27
+ "full_attention",
28
+ "sliding_attention",
29
+ "full_attention",
30
+ "sliding_attention",
31
+ "full_attention",
32
+ "sliding_attention",
33
+ "full_attention",
34
+ "sliding_attention",
35
+ "full_attention",
36
+ "sliding_attention",
37
+ "full_attention",
38
+ "sliding_attention",
39
+ "full_attention",
40
+ "sliding_attention",
41
+ "full_attention",
42
+ "sliding_attention",
43
+ "full_attention",
44
+ "sliding_attention",
45
+ "full_attention",
46
+ "sliding_attention",
47
+ "full_attention",
48
+ "sliding_attention",
49
+ "full_attention",
50
+ "sliding_attention",
51
+ "full_attention",
52
+ "sliding_attention",
53
+ "full_attention",
54
+ "sliding_attention",
55
+ "full_attention",
56
+ "sliding_attention",
57
+ "full_attention",
58
+ "sliding_attention",
59
+ "full_attention",
60
+ "sliding_attention",
61
+ "full_attention"
62
+ ],
63
+ "max_position_embeddings": 8192,
64
+ "model_type": "gemma2",
65
+ "num_attention_heads": 16,
66
+ "num_hidden_layers": 42,
67
+ "num_key_value_heads": 8,
68
+ "pad_token_id": 0,
69
+ "query_pre_attn_scalar": 256,
70
+ "rms_norm_eps": 1e-06,
71
+ "rope_theta": 10000.0,
72
+ "sliding_window": 4096,
73
+ "sliding_window_size": 4096,
74
+ "transformers_version": "4.56.1",
75
+ "use_cache": true,
76
+ "vocab_size": 256000
77
+ }
checkpoint-2500/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 2,
4
+ "eos_token_id": [
5
+ 1
6
+ ],
7
+ "pad_token_id": 0,
8
+ "transformers_version": "4.56.1"
9
+ }
checkpoint-2500/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a0d4eb4fcbddfe01b0dc7a58386a3980826ededaf0ecd67d1ef38995b89615ba
3
+ size 4903351912
checkpoint-2500/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:712a589c333f49f7b6f3870838a9e0ab4b3c0260abd5130e8c54316e6c99640b
3
+ size 4947570872
checkpoint-2500/model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:75bff1c6ab962a6d81cb81c7f3427386ed49e866c71e81e80ea55e0a8a83952a
3
+ size 4962221464
checkpoint-2500/model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6763008b4e6ba8fdc1b129ba710fc593f60b09eee5683e6bc0c2a7f2d5e47f0b
3
+ size 3670322200
checkpoint-2500/model.safetensors.index.json ADDED
@@ -0,0 +1,472 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 9241705984,
4
+ "total_size": 18483411968
5
+ },
6
+ "weight_map": {
7
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
19
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
30
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
31
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
32
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
41
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
43
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
53
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
55
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
65
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
67
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.13.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
74
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
77
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
79
+ "model.layers.14.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.14.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
86
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
89
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.15.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
91
+ "model.layers.15.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
98
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
101
+ "model.layers.16.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.16.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
103
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
110
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.17.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
113
+ "model.layers.17.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
115
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
117
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
118
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
119
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
120
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
121
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
122
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
123
+ "model.layers.18.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
124
+ "model.layers.18.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
125
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
126
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
127
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
128
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
129
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
130
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
131
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
133
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
134
+ "model.layers.19.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
135
+ "model.layers.19.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
136
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
137
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
138
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
139
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
140
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
141
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
142
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
143
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
144
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
145
+ "model.layers.2.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
146
+ "model.layers.2.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
147
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
148
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
149
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
150
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
151
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
152
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
153
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
154
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
155
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
156
+ "model.layers.20.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
157
+ "model.layers.20.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
158
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
159
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
160
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
161
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
162
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
163
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
164
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
165
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.21.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.21.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
170
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
171
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
173
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
174
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
175
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.22.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.22.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
182
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
183
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
185
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
187
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.23.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.23.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
194
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
197
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
199
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.24.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.24.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
206
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
209
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
211
+ "model.layers.25.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.25.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
218
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
219
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
221
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
222
+ "model.layers.26.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
223
+ "model.layers.26.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
224
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
230
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
233
+ "model.layers.27.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
234
+ "model.layers.27.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
235
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
242
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
243
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.28.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
245
+ "model.layers.28.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
246
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
247
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
250
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
251
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
252
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
253
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
254
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
255
+ "model.layers.29.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
256
+ "model.layers.29.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
257
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
258
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
259
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
260
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
261
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
262
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
273
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
274
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
275
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
276
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
277
+ "model.layers.30.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
278
+ "model.layers.30.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
279
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
280
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
281
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
282
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
283
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00004.safetensors",
284
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
285
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
286
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
287
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
288
+ "model.layers.31.post_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
289
+ "model.layers.31.pre_feedforward_layernorm.weight": "model-00003-of-00004.safetensors",
290
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
291
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
292
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
293
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
294
+ "model.layers.32.input_layernorm.weight": "model-00004-of-00004.safetensors",
295
+ "model.layers.32.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
296
+ "model.layers.32.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
297
+ "model.layers.32.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
298
+ "model.layers.32.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
299
+ "model.layers.32.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
300
+ "model.layers.32.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
301
+ "model.layers.32.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
302
+ "model.layers.32.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
303
+ "model.layers.32.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
304
+ "model.layers.32.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
305
+ "model.layers.33.input_layernorm.weight": "model-00004-of-00004.safetensors",
306
+ "model.layers.33.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
307
+ "model.layers.33.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
308
+ "model.layers.33.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
309
+ "model.layers.33.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
310
+ "model.layers.33.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
311
+ "model.layers.33.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
312
+ "model.layers.33.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
313
+ "model.layers.33.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
314
+ "model.layers.33.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
315
+ "model.layers.33.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
316
+ "model.layers.34.input_layernorm.weight": "model-00004-of-00004.safetensors",
317
+ "model.layers.34.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
318
+ "model.layers.34.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
319
+ "model.layers.34.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
320
+ "model.layers.34.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
321
+ "model.layers.34.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
322
+ "model.layers.34.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
323
+ "model.layers.34.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
324
+ "model.layers.34.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
325
+ "model.layers.34.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
326
+ "model.layers.34.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
327
+ "model.layers.35.input_layernorm.weight": "model-00004-of-00004.safetensors",
328
+ "model.layers.35.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
329
+ "model.layers.35.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
330
+ "model.layers.35.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
331
+ "model.layers.35.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
332
+ "model.layers.35.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
333
+ "model.layers.35.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
334
+ "model.layers.35.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
335
+ "model.layers.35.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
336
+ "model.layers.35.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
337
+ "model.layers.35.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
338
+ "model.layers.36.input_layernorm.weight": "model-00004-of-00004.safetensors",
339
+ "model.layers.36.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
340
+ "model.layers.36.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
341
+ "model.layers.36.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
342
+ "model.layers.36.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
343
+ "model.layers.36.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
344
+ "model.layers.36.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
345
+ "model.layers.36.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
346
+ "model.layers.36.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
347
+ "model.layers.36.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
348
+ "model.layers.36.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
349
+ "model.layers.37.input_layernorm.weight": "model-00004-of-00004.safetensors",
350
+ "model.layers.37.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
351
+ "model.layers.37.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
352
+ "model.layers.37.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
353
+ "model.layers.37.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
354
+ "model.layers.37.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
355
+ "model.layers.37.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
356
+ "model.layers.37.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
357
+ "model.layers.37.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
358
+ "model.layers.37.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
359
+ "model.layers.37.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
360
+ "model.layers.38.input_layernorm.weight": "model-00004-of-00004.safetensors",
361
+ "model.layers.38.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
362
+ "model.layers.38.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
363
+ "model.layers.38.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
364
+ "model.layers.38.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
365
+ "model.layers.38.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
366
+ "model.layers.38.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
367
+ "model.layers.38.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
368
+ "model.layers.38.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
369
+ "model.layers.38.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
370
+ "model.layers.38.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
371
+ "model.layers.39.input_layernorm.weight": "model-00004-of-00004.safetensors",
372
+ "model.layers.39.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
373
+ "model.layers.39.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
374
+ "model.layers.39.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
375
+ "model.layers.39.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
376
+ "model.layers.39.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
377
+ "model.layers.39.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
378
+ "model.layers.39.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
379
+ "model.layers.39.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
380
+ "model.layers.39.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
381
+ "model.layers.39.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
382
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
383
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
384
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
385
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
386
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
387
+ "model.layers.4.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
388
+ "model.layers.4.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
389
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
390
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
391
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
392
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
393
+ "model.layers.40.input_layernorm.weight": "model-00004-of-00004.safetensors",
394
+ "model.layers.40.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
395
+ "model.layers.40.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
396
+ "model.layers.40.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
397
+ "model.layers.40.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
398
+ "model.layers.40.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
399
+ "model.layers.40.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
400
+ "model.layers.40.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
401
+ "model.layers.40.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
402
+ "model.layers.40.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
403
+ "model.layers.40.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
404
+ "model.layers.41.input_layernorm.weight": "model-00004-of-00004.safetensors",
405
+ "model.layers.41.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
406
+ "model.layers.41.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
407
+ "model.layers.41.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
408
+ "model.layers.41.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
409
+ "model.layers.41.post_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
410
+ "model.layers.41.pre_feedforward_layernorm.weight": "model-00004-of-00004.safetensors",
411
+ "model.layers.41.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
412
+ "model.layers.41.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
413
+ "model.layers.41.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
414
+ "model.layers.41.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
415
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
416
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
417
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
418
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
419
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
420
+ "model.layers.5.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
421
+ "model.layers.5.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
422
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
423
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
424
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
425
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
426
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
427
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
428
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
429
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
430
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
431
+ "model.layers.6.post_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
432
+ "model.layers.6.pre_feedforward_layernorm.weight": "model-00001-of-00004.safetensors",
433
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
434
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
435
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
436
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
437
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
438
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
439
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
440
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
441
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
442
+ "model.layers.7.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
443
+ "model.layers.7.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
444
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
445
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
446
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
447
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
448
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
449
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
450
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
451
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
452
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
453
+ "model.layers.8.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
454
+ "model.layers.8.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
455
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
456
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
457
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
458
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
459
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
460
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
461
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
462
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
463
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
464
+ "model.layers.9.post_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
465
+ "model.layers.9.pre_feedforward_layernorm.weight": "model-00002-of-00004.safetensors",
466
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
467
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
468
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
469
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
470
+ "model.norm.weight": "model-00004-of-00004.safetensors"
471
+ }
472
+ }
checkpoint-2500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9a166a7a6d7233a2d46b086ef1a778939c883dff73a93191a67c997fec535001
3
+ size 1585596266
checkpoint-2500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ca7edf23f0cef681f30485dc71955f6a675cc4e0dbf22e0ed44c7452b774c627
3
+ size 14645
checkpoint-2500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dd200143f139327b4d41bcb99ffeaa13b2acc11ded5b3dbab181a6ff2ce855d7
3
+ size 1465
checkpoint-2500/special_tokens_map.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<start_of_turn>",
4
+ "<end_of_turn>"
5
+ ],
6
+ "bos_token": {
7
+ "content": "<bos>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "eos_token": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "pad_token": {
21
+ "content": "<pad>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false
26
+ },
27
+ "unk_token": {
28
+ "content": "<unk>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false
33
+ }
34
+ }
checkpoint-2500/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5f7eee611703c5ce5d1eee32d9cdcfe465647b8aff0c1dfb3bed7ad7dbb05060
3
+ size 34362873
checkpoint-2500/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
3
+ size 4241003
checkpoint-2500/tokenizer_config.json ADDED
@@ -0,0 +1,2013 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<pad>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "<bos>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "3": {
30
+ "content": "<unk>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "4": {
38
+ "content": "<mask>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": false
44
+ },
45
+ "5": {
46
+ "content": "<2mass>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": false
52
+ },
53
+ "6": {
54
+ "content": "[@BOS@]",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": false
60
+ },
61
+ "7": {
62
+ "content": "<unused0>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": false
68
+ },
69
+ "8": {
70
+ "content": "<unused1>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": false
76
+ },
77
+ "9": {
78
+ "content": "<unused2>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": false
84
+ },
85
+ "10": {
86
+ "content": "<unused3>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": false
92
+ },
93
+ "11": {
94
+ "content": "<unused4>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": false
100
+ },
101
+ "12": {
102
+ "content": "<unused5>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": false
108
+ },
109
+ "13": {
110
+ "content": "<unused6>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": false
116
+ },
117
+ "14": {
118
+ "content": "<unused7>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "15": {
126
+ "content": "<unused8>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "16": {
134
+ "content": "<unused9>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "17": {
142
+ "content": "<unused10>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "18": {
150
+ "content": "<unused11>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "19": {
158
+ "content": "<unused12>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "20": {
166
+ "content": "<unused13>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "21": {
174
+ "content": "<unused14>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "22": {
182
+ "content": "<unused15>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "23": {
190
+ "content": "<unused16>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "24": {
198
+ "content": "<unused17>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "25": {
206
+ "content": "<unused18>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ },
213
+ "26": {
214
+ "content": "<unused19>",
215
+ "lstrip": false,
216
+ "normalized": false,
217
+ "rstrip": false,
218
+ "single_word": false,
219
+ "special": false
220
+ },
221
+ "27": {
222
+ "content": "<unused20>",
223
+ "lstrip": false,
224
+ "normalized": false,
225
+ "rstrip": false,
226
+ "single_word": false,
227
+ "special": false
228
+ },
229
+ "28": {
230
+ "content": "<unused21>",
231
+ "lstrip": false,
232
+ "normalized": false,
233
+ "rstrip": false,
234
+ "single_word": false,
235
+ "special": false
236
+ },
237
+ "29": {
238
+ "content": "<unused22>",
239
+ "lstrip": false,
240
+ "normalized": false,
241
+ "rstrip": false,
242
+ "single_word": false,
243
+ "special": false
244
+ },
245
+ "30": {
246
+ "content": "<unused23>",
247
+ "lstrip": false,
248
+ "normalized": false,
249
+ "rstrip": false,
250
+ "single_word": false,
251
+ "special": false
252
+ },
253
+ "31": {
254
+ "content": "<unused24>",
255
+ "lstrip": false,
256
+ "normalized": false,
257
+ "rstrip": false,
258
+ "single_word": false,
259
+ "special": false
260
+ },
261
+ "32": {
262
+ "content": "<unused25>",
263
+ "lstrip": false,
264
+ "normalized": false,
265
+ "rstrip": false,
266
+ "single_word": false,
267
+ "special": false
268
+ },
269
+ "33": {
270
+ "content": "<unused26>",
271
+ "lstrip": false,
272
+ "normalized": false,
273
+ "rstrip": false,
274
+ "single_word": false,
275
+ "special": false
276
+ },
277
+ "34": {
278
+ "content": "<unused27>",
279
+ "lstrip": false,
280
+ "normalized": false,
281
+ "rstrip": false,
282
+ "single_word": false,
283
+ "special": false
284
+ },
285
+ "35": {
286
+ "content": "<unused28>",
287
+ "lstrip": false,
288
+ "normalized": false,
289
+ "rstrip": false,
290
+ "single_word": false,
291
+ "special": false
292
+ },
293
+ "36": {
294
+ "content": "<unused29>",
295
+ "lstrip": false,
296
+ "normalized": false,
297
+ "rstrip": false,
298
+ "single_word": false,
299
+ "special": false
300
+ },
301
+ "37": {
302
+ "content": "<unused30>",
303
+ "lstrip": false,
304
+ "normalized": false,
305
+ "rstrip": false,
306
+ "single_word": false,
307
+ "special": false
308
+ },
309
+ "38": {
310
+ "content": "<unused31>",
311
+ "lstrip": false,
312
+ "normalized": false,
313
+ "rstrip": false,
314
+ "single_word": false,
315
+ "special": false
316
+ },
317
+ "39": {
318
+ "content": "<unused32>",
319
+ "lstrip": false,
320
+ "normalized": false,
321
+ "rstrip": false,
322
+ "single_word": false,
323
+ "special": false
324
+ },
325
+ "40": {
326
+ "content": "<unused33>",
327
+ "lstrip": false,
328
+ "normalized": false,
329
+ "rstrip": false,
330
+ "single_word": false,
331
+ "special": false
332
+ },
333
+ "41": {
334
+ "content": "<unused34>",
335
+ "lstrip": false,
336
+ "normalized": false,
337
+ "rstrip": false,
338
+ "single_word": false,
339
+ "special": false
340
+ },
341
+ "42": {
342
+ "content": "<unused35>",
343
+ "lstrip": false,
344
+ "normalized": false,
345
+ "rstrip": false,
346
+ "single_word": false,
347
+ "special": false
348
+ },
349
+ "43": {
350
+ "content": "<unused36>",
351
+ "lstrip": false,
352
+ "normalized": false,
353
+ "rstrip": false,
354
+ "single_word": false,
355
+ "special": false
356
+ },
357
+ "44": {
358
+ "content": "<unused37>",
359
+ "lstrip": false,
360
+ "normalized": false,
361
+ "rstrip": false,
362
+ "single_word": false,
363
+ "special": false
364
+ },
365
+ "45": {
366
+ "content": "<unused38>",
367
+ "lstrip": false,
368
+ "normalized": false,
369
+ "rstrip": false,
370
+ "single_word": false,
371
+ "special": false
372
+ },
373
+ "46": {
374
+ "content": "<unused39>",
375
+ "lstrip": false,
376
+ "normalized": false,
377
+ "rstrip": false,
378
+ "single_word": false,
379
+ "special": false
380
+ },
381
+ "47": {
382
+ "content": "<unused40>",
383
+ "lstrip": false,
384
+ "normalized": false,
385
+ "rstrip": false,
386
+ "single_word": false,
387
+ "special": false
388
+ },
389
+ "48": {
390
+ "content": "<unused41>",
391
+ "lstrip": false,
392
+ "normalized": false,
393
+ "rstrip": false,
394
+ "single_word": false,
395
+ "special": false
396
+ },
397
+ "49": {
398
+ "content": "<unused42>",
399
+ "lstrip": false,
400
+ "normalized": false,
401
+ "rstrip": false,
402
+ "single_word": false,
403
+ "special": false
404
+ },
405
+ "50": {
406
+ "content": "<unused43>",
407
+ "lstrip": false,
408
+ "normalized": false,
409
+ "rstrip": false,
410
+ "single_word": false,
411
+ "special": false
412
+ },
413
+ "51": {
414
+ "content": "<unused44>",
415
+ "lstrip": false,
416
+ "normalized": false,
417
+ "rstrip": false,
418
+ "single_word": false,
419
+ "special": false
420
+ },
421
+ "52": {
422
+ "content": "<unused45>",
423
+ "lstrip": false,
424
+ "normalized": false,
425
+ "rstrip": false,
426
+ "single_word": false,
427
+ "special": false
428
+ },
429
+ "53": {
430
+ "content": "<unused46>",
431
+ "lstrip": false,
432
+ "normalized": false,
433
+ "rstrip": false,
434
+ "single_word": false,
435
+ "special": false
436
+ },
437
+ "54": {
438
+ "content": "<unused47>",
439
+ "lstrip": false,
440
+ "normalized": false,
441
+ "rstrip": false,
442
+ "single_word": false,
443
+ "special": false
444
+ },
445
+ "55": {
446
+ "content": "<unused48>",
447
+ "lstrip": false,
448
+ "normalized": false,
449
+ "rstrip": false,
450
+ "single_word": false,
451
+ "special": false
452
+ },
453
+ "56": {
454
+ "content": "<unused49>",
455
+ "lstrip": false,
456
+ "normalized": false,
457
+ "rstrip": false,
458
+ "single_word": false,
459
+ "special": false
460
+ },
461
+ "57": {
462
+ "content": "<unused50>",
463
+ "lstrip": false,
464
+ "normalized": false,
465
+ "rstrip": false,
466
+ "single_word": false,
467
+ "special": false
468
+ },
469
+ "58": {
470
+ "content": "<unused51>",
471
+ "lstrip": false,
472
+ "normalized": false,
473
+ "rstrip": false,
474
+ "single_word": false,
475
+ "special": false
476
+ },
477
+ "59": {
478
+ "content": "<unused52>",
479
+ "lstrip": false,
480
+ "normalized": false,
481
+ "rstrip": false,
482
+ "single_word": false,
483
+ "special": false
484
+ },
485
+ "60": {
486
+ "content": "<unused53>",
487
+ "lstrip": false,
488
+ "normalized": false,
489
+ "rstrip": false,
490
+ "single_word": false,
491
+ "special": false
492
+ },
493
+ "61": {
494
+ "content": "<unused54>",
495
+ "lstrip": false,
496
+ "normalized": false,
497
+ "rstrip": false,
498
+ "single_word": false,
499
+ "special": false
500
+ },
501
+ "62": {
502
+ "content": "<unused55>",
503
+ "lstrip": false,
504
+ "normalized": false,
505
+ "rstrip": false,
506
+ "single_word": false,
507
+ "special": false
508
+ },
509
+ "63": {
510
+ "content": "<unused56>",
511
+ "lstrip": false,
512
+ "normalized": false,
513
+ "rstrip": false,
514
+ "single_word": false,
515
+ "special": false
516
+ },
517
+ "64": {
518
+ "content": "<unused57>",
519
+ "lstrip": false,
520
+ "normalized": false,
521
+ "rstrip": false,
522
+ "single_word": false,
523
+ "special": false
524
+ },
525
+ "65": {
526
+ "content": "<unused58>",
527
+ "lstrip": false,
528
+ "normalized": false,
529
+ "rstrip": false,
530
+ "single_word": false,
531
+ "special": false
532
+ },
533
+ "66": {
534
+ "content": "<unused59>",
535
+ "lstrip": false,
536
+ "normalized": false,
537
+ "rstrip": false,
538
+ "single_word": false,
539
+ "special": false
540
+ },
541
+ "67": {
542
+ "content": "<unused60>",
543
+ "lstrip": false,
544
+ "normalized": false,
545
+ "rstrip": false,
546
+ "single_word": false,
547
+ "special": false
548
+ },
549
+ "68": {
550
+ "content": "<unused61>",
551
+ "lstrip": false,
552
+ "normalized": false,
553
+ "rstrip": false,
554
+ "single_word": false,
555
+ "special": false
556
+ },
557
+ "69": {
558
+ "content": "<unused62>",
559
+ "lstrip": false,
560
+ "normalized": false,
561
+ "rstrip": false,
562
+ "single_word": false,
563
+ "special": false
564
+ },
565
+ "70": {
566
+ "content": "<unused63>",
567
+ "lstrip": false,
568
+ "normalized": false,
569
+ "rstrip": false,
570
+ "single_word": false,
571
+ "special": false
572
+ },
573
+ "71": {
574
+ "content": "<unused64>",
575
+ "lstrip": false,
576
+ "normalized": false,
577
+ "rstrip": false,
578
+ "single_word": false,
579
+ "special": false
580
+ },
581
+ "72": {
582
+ "content": "<unused65>",
583
+ "lstrip": false,
584
+ "normalized": false,
585
+ "rstrip": false,
586
+ "single_word": false,
587
+ "special": false
588
+ },
589
+ "73": {
590
+ "content": "<unused66>",
591
+ "lstrip": false,
592
+ "normalized": false,
593
+ "rstrip": false,
594
+ "single_word": false,
595
+ "special": false
596
+ },
597
+ "74": {
598
+ "content": "<unused67>",
599
+ "lstrip": false,
600
+ "normalized": false,
601
+ "rstrip": false,
602
+ "single_word": false,
603
+ "special": false
604
+ },
605
+ "75": {
606
+ "content": "<unused68>",
607
+ "lstrip": false,
608
+ "normalized": false,
609
+ "rstrip": false,
610
+ "single_word": false,
611
+ "special": false
612
+ },
613
+ "76": {
614
+ "content": "<unused69>",
615
+ "lstrip": false,
616
+ "normalized": false,
617
+ "rstrip": false,
618
+ "single_word": false,
619
+ "special": false
620
+ },
621
+ "77": {
622
+ "content": "<unused70>",
623
+ "lstrip": false,
624
+ "normalized": false,
625
+ "rstrip": false,
626
+ "single_word": false,
627
+ "special": false
628
+ },
629
+ "78": {
630
+ "content": "<unused71>",
631
+ "lstrip": false,
632
+ "normalized": false,
633
+ "rstrip": false,
634
+ "single_word": false,
635
+ "special": false
636
+ },
637
+ "79": {
638
+ "content": "<unused72>",
639
+ "lstrip": false,
640
+ "normalized": false,
641
+ "rstrip": false,
642
+ "single_word": false,
643
+ "special": false
644
+ },
645
+ "80": {
646
+ "content": "<unused73>",
647
+ "lstrip": false,
648
+ "normalized": false,
649
+ "rstrip": false,
650
+ "single_word": false,
651
+ "special": false
652
+ },
653
+ "81": {
654
+ "content": "<unused74>",
655
+ "lstrip": false,
656
+ "normalized": false,
657
+ "rstrip": false,
658
+ "single_word": false,
659
+ "special": false
660
+ },
661
+ "82": {
662
+ "content": "<unused75>",
663
+ "lstrip": false,
664
+ "normalized": false,
665
+ "rstrip": false,
666
+ "single_word": false,
667
+ "special": false
668
+ },
669
+ "83": {
670
+ "content": "<unused76>",
671
+ "lstrip": false,
672
+ "normalized": false,
673
+ "rstrip": false,
674
+ "single_word": false,
675
+ "special": false
676
+ },
677
+ "84": {
678
+ "content": "<unused77>",
679
+ "lstrip": false,
680
+ "normalized": false,
681
+ "rstrip": false,
682
+ "single_word": false,
683
+ "special": false
684
+ },
685
+ "85": {
686
+ "content": "<unused78>",
687
+ "lstrip": false,
688
+ "normalized": false,
689
+ "rstrip": false,
690
+ "single_word": false,
691
+ "special": false
692
+ },
693
+ "86": {
694
+ "content": "<unused79>",
695
+ "lstrip": false,
696
+ "normalized": false,
697
+ "rstrip": false,
698
+ "single_word": false,
699
+ "special": false
700
+ },
701
+ "87": {
702
+ "content": "<unused80>",
703
+ "lstrip": false,
704
+ "normalized": false,
705
+ "rstrip": false,
706
+ "single_word": false,
707
+ "special": false
708
+ },
709
+ "88": {
710
+ "content": "<unused81>",
711
+ "lstrip": false,
712
+ "normalized": false,
713
+ "rstrip": false,
714
+ "single_word": false,
715
+ "special": false
716
+ },
717
+ "89": {
718
+ "content": "<unused82>",
719
+ "lstrip": false,
720
+ "normalized": false,
721
+ "rstrip": false,
722
+ "single_word": false,
723
+ "special": false
724
+ },
725
+ "90": {
726
+ "content": "<unused83>",
727
+ "lstrip": false,
728
+ "normalized": false,
729
+ "rstrip": false,
730
+ "single_word": false,
731
+ "special": false
732
+ },
733
+ "91": {
734
+ "content": "<unused84>",
735
+ "lstrip": false,
736
+ "normalized": false,
737
+ "rstrip": false,
738
+ "single_word": false,
739
+ "special": false
740
+ },
741
+ "92": {
742
+ "content": "<unused85>",
743
+ "lstrip": false,
744
+ "normalized": false,
745
+ "rstrip": false,
746
+ "single_word": false,
747
+ "special": false
748
+ },
749
+ "93": {
750
+ "content": "<unused86>",
751
+ "lstrip": false,
752
+ "normalized": false,
753
+ "rstrip": false,
754
+ "single_word": false,
755
+ "special": false
756
+ },
757
+ "94": {
758
+ "content": "<unused87>",
759
+ "lstrip": false,
760
+ "normalized": false,
761
+ "rstrip": false,
762
+ "single_word": false,
763
+ "special": false
764
+ },
765
+ "95": {
766
+ "content": "<unused88>",
767
+ "lstrip": false,
768
+ "normalized": false,
769
+ "rstrip": false,
770
+ "single_word": false,
771
+ "special": false
772
+ },
773
+ "96": {
774
+ "content": "<unused89>",
775
+ "lstrip": false,
776
+ "normalized": false,
777
+ "rstrip": false,
778
+ "single_word": false,
779
+ "special": false
780
+ },
781
+ "97": {
782
+ "content": "<unused90>",
783
+ "lstrip": false,
784
+ "normalized": false,
785
+ "rstrip": false,
786
+ "single_word": false,
787
+ "special": false
788
+ },
789
+ "98": {
790
+ "content": "<unused91>",
791
+ "lstrip": false,
792
+ "normalized": false,
793
+ "rstrip": false,
794
+ "single_word": false,
795
+ "special": false
796
+ },
797
+ "99": {
798
+ "content": "<unused92>",
799
+ "lstrip": false,
800
+ "normalized": false,
801
+ "rstrip": false,
802
+ "single_word": false,
803
+ "special": false
804
+ },
805
+ "100": {
806
+ "content": "<unused93>",
807
+ "lstrip": false,
808
+ "normalized": false,
809
+ "rstrip": false,
810
+ "single_word": false,
811
+ "special": false
812
+ },
813
+ "101": {
814
+ "content": "<unused94>",
815
+ "lstrip": false,
816
+ "normalized": false,
817
+ "rstrip": false,
818
+ "single_word": false,
819
+ "special": false
820
+ },
821
+ "102": {
822
+ "content": "<unused95>",
823
+ "lstrip": false,
824
+ "normalized": false,
825
+ "rstrip": false,
826
+ "single_word": false,
827
+ "special": false
828
+ },
829
+ "103": {
830
+ "content": "<unused96>",
831
+ "lstrip": false,
832
+ "normalized": false,
833
+ "rstrip": false,
834
+ "single_word": false,
835
+ "special": false
836
+ },
837
+ "104": {
838
+ "content": "<unused97>",
839
+ "lstrip": false,
840
+ "normalized": false,
841
+ "rstrip": false,
842
+ "single_word": false,
843
+ "special": false
844
+ },
845
+ "105": {
846
+ "content": "<unused98>",
847
+ "lstrip": false,
848
+ "normalized": false,
849
+ "rstrip": false,
850
+ "single_word": false,
851
+ "special": false
852
+ },
853
+ "106": {
854
+ "content": "<start_of_turn>",
855
+ "lstrip": false,
856
+ "normalized": false,
857
+ "rstrip": false,
858
+ "single_word": false,
859
+ "special": true
860
+ },
861
+ "107": {
862
+ "content": "<end_of_turn>",
863
+ "lstrip": false,
864
+ "normalized": false,
865
+ "rstrip": false,
866
+ "single_word": false,
867
+ "special": true
868
+ },
869
+ "108": {
870
+ "content": "\n",
871
+ "lstrip": false,
872
+ "normalized": false,
873
+ "rstrip": false,
874
+ "single_word": false,
875
+ "special": false
876
+ },
877
+ "109": {
878
+ "content": "\n\n",
879
+ "lstrip": false,
880
+ "normalized": false,
881
+ "rstrip": false,
882
+ "single_word": false,
883
+ "special": false
884
+ },
885
+ "110": {
886
+ "content": "\n\n\n",
887
+ "lstrip": false,
888
+ "normalized": false,
889
+ "rstrip": false,
890
+ "single_word": false,
891
+ "special": false
892
+ },
893
+ "111": {
894
+ "content": "\n\n\n\n",
895
+ "lstrip": false,
896
+ "normalized": false,
897
+ "rstrip": false,
898
+ "single_word": false,
899
+ "special": false
900
+ },
901
+ "112": {
902
+ "content": "\n\n\n\n\n",
903
+ "lstrip": false,
904
+ "normalized": false,
905
+ "rstrip": false,
906
+ "single_word": false,
907
+ "special": false
908
+ },
909
+ "113": {
910
+ "content": "\n\n\n\n\n\n",
911
+ "lstrip": false,
912
+ "normalized": false,
913
+ "rstrip": false,
914
+ "single_word": false,
915
+ "special": false
916
+ },
917
+ "114": {
918
+ "content": "\n\n\n\n\n\n\n",
919
+ "lstrip": false,
920
+ "normalized": false,
921
+ "rstrip": false,
922
+ "single_word": false,
923
+ "special": false
924
+ },
925
+ "115": {
926
+ "content": "\n\n\n\n\n\n\n\n",
927
+ "lstrip": false,
928
+ "normalized": false,
929
+ "rstrip": false,
930
+ "single_word": false,
931
+ "special": false
932
+ },
933
+ "116": {
934
+ "content": "\n\n\n\n\n\n\n\n\n",
935
+ "lstrip": false,
936
+ "normalized": false,
937
+ "rstrip": false,
938
+ "single_word": false,
939
+ "special": false
940
+ },
941
+ "117": {
942
+ "content": "\n\n\n\n\n\n\n\n\n\n",
943
+ "lstrip": false,
944
+ "normalized": false,
945
+ "rstrip": false,
946
+ "single_word": false,
947
+ "special": false
948
+ },
949
+ "118": {
950
+ "content": "\n\n\n\n\n\n\n\n\n\n\n",
951
+ "lstrip": false,
952
+ "normalized": false,
953
+ "rstrip": false,
954
+ "single_word": false,
955
+ "special": false
956
+ },
957
+ "119": {
958
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n",
959
+ "lstrip": false,
960
+ "normalized": false,
961
+ "rstrip": false,
962
+ "single_word": false,
963
+ "special": false
964
+ },
965
+ "120": {
966
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n",
967
+ "lstrip": false,
968
+ "normalized": false,
969
+ "rstrip": false,
970
+ "single_word": false,
971
+ "special": false
972
+ },
973
+ "121": {
974
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
975
+ "lstrip": false,
976
+ "normalized": false,
977
+ "rstrip": false,
978
+ "single_word": false,
979
+ "special": false
980
+ },
981
+ "122": {
982
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
983
+ "lstrip": false,
984
+ "normalized": false,
985
+ "rstrip": false,
986
+ "single_word": false,
987
+ "special": false
988
+ },
989
+ "123": {
990
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
991
+ "lstrip": false,
992
+ "normalized": false,
993
+ "rstrip": false,
994
+ "single_word": false,
995
+ "special": false
996
+ },
997
+ "124": {
998
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
999
+ "lstrip": false,
1000
+ "normalized": false,
1001
+ "rstrip": false,
1002
+ "single_word": false,
1003
+ "special": false
1004
+ },
1005
+ "125": {
1006
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1007
+ "lstrip": false,
1008
+ "normalized": false,
1009
+ "rstrip": false,
1010
+ "single_word": false,
1011
+ "special": false
1012
+ },
1013
+ "126": {
1014
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1015
+ "lstrip": false,
1016
+ "normalized": false,
1017
+ "rstrip": false,
1018
+ "single_word": false,
1019
+ "special": false
1020
+ },
1021
+ "127": {
1022
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1023
+ "lstrip": false,
1024
+ "normalized": false,
1025
+ "rstrip": false,
1026
+ "single_word": false,
1027
+ "special": false
1028
+ },
1029
+ "128": {
1030
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1031
+ "lstrip": false,
1032
+ "normalized": false,
1033
+ "rstrip": false,
1034
+ "single_word": false,
1035
+ "special": false
1036
+ },
1037
+ "129": {
1038
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1039
+ "lstrip": false,
1040
+ "normalized": false,
1041
+ "rstrip": false,
1042
+ "single_word": false,
1043
+ "special": false
1044
+ },
1045
+ "130": {
1046
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1047
+ "lstrip": false,
1048
+ "normalized": false,
1049
+ "rstrip": false,
1050
+ "single_word": false,
1051
+ "special": false
1052
+ },
1053
+ "131": {
1054
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1055
+ "lstrip": false,
1056
+ "normalized": false,
1057
+ "rstrip": false,
1058
+ "single_word": false,
1059
+ "special": false
1060
+ },
1061
+ "132": {
1062
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1063
+ "lstrip": false,
1064
+ "normalized": false,
1065
+ "rstrip": false,
1066
+ "single_word": false,
1067
+ "special": false
1068
+ },
1069
+ "133": {
1070
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1071
+ "lstrip": false,
1072
+ "normalized": false,
1073
+ "rstrip": false,
1074
+ "single_word": false,
1075
+ "special": false
1076
+ },
1077
+ "134": {
1078
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1079
+ "lstrip": false,
1080
+ "normalized": false,
1081
+ "rstrip": false,
1082
+ "single_word": false,
1083
+ "special": false
1084
+ },
1085
+ "135": {
1086
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1087
+ "lstrip": false,
1088
+ "normalized": false,
1089
+ "rstrip": false,
1090
+ "single_word": false,
1091
+ "special": false
1092
+ },
1093
+ "136": {
1094
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1095
+ "lstrip": false,
1096
+ "normalized": false,
1097
+ "rstrip": false,
1098
+ "single_word": false,
1099
+ "special": false
1100
+ },
1101
+ "137": {
1102
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1103
+ "lstrip": false,
1104
+ "normalized": false,
1105
+ "rstrip": false,
1106
+ "single_word": false,
1107
+ "special": false
1108
+ },
1109
+ "138": {
1110
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1111
+ "lstrip": false,
1112
+ "normalized": false,
1113
+ "rstrip": false,
1114
+ "single_word": false,
1115
+ "special": false
1116
+ },
1117
+ "139": {
1118
+ "content": "▁▁",
1119
+ "lstrip": false,
1120
+ "normalized": false,
1121
+ "rstrip": false,
1122
+ "single_word": false,
1123
+ "special": false
1124
+ },
1125
+ "140": {
1126
+ "content": "▁▁▁",
1127
+ "lstrip": false,
1128
+ "normalized": false,
1129
+ "rstrip": false,
1130
+ "single_word": false,
1131
+ "special": false
1132
+ },
1133
+ "141": {
1134
+ "content": "▁▁▁▁",
1135
+ "lstrip": false,
1136
+ "normalized": false,
1137
+ "rstrip": false,
1138
+ "single_word": false,
1139
+ "special": false
1140
+ },
1141
+ "142": {
1142
+ "content": "▁▁▁▁▁",
1143
+ "lstrip": false,
1144
+ "normalized": false,
1145
+ "rstrip": false,
1146
+ "single_word": false,
1147
+ "special": false
1148
+ },
1149
+ "143": {
1150
+ "content": "▁▁▁▁▁▁",
1151
+ "lstrip": false,
1152
+ "normalized": false,
1153
+ "rstrip": false,
1154
+ "single_word": false,
1155
+ "special": false
1156
+ },
1157
+ "144": {
1158
+ "content": "▁▁▁▁▁▁▁",
1159
+ "lstrip": false,
1160
+ "normalized": false,
1161
+ "rstrip": false,
1162
+ "single_word": false,
1163
+ "special": false
1164
+ },
1165
+ "145": {
1166
+ "content": "▁▁▁▁▁▁▁▁",
1167
+ "lstrip": false,
1168
+ "normalized": false,
1169
+ "rstrip": false,
1170
+ "single_word": false,
1171
+ "special": false
1172
+ },
1173
+ "146": {
1174
+ "content": "▁▁▁▁▁▁▁▁▁",
1175
+ "lstrip": false,
1176
+ "normalized": false,
1177
+ "rstrip": false,
1178
+ "single_word": false,
1179
+ "special": false
1180
+ },
1181
+ "147": {
1182
+ "content": "▁▁▁▁▁▁▁▁▁▁",
1183
+ "lstrip": false,
1184
+ "normalized": false,
1185
+ "rstrip": false,
1186
+ "single_word": false,
1187
+ "special": false
1188
+ },
1189
+ "148": {
1190
+ "content": "▁▁▁▁▁▁▁▁▁▁▁",
1191
+ "lstrip": false,
1192
+ "normalized": false,
1193
+ "rstrip": false,
1194
+ "single_word": false,
1195
+ "special": false
1196
+ },
1197
+ "149": {
1198
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁",
1199
+ "lstrip": false,
1200
+ "normalized": false,
1201
+ "rstrip": false,
1202
+ "single_word": false,
1203
+ "special": false
1204
+ },
1205
+ "150": {
1206
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁",
1207
+ "lstrip": false,
1208
+ "normalized": false,
1209
+ "rstrip": false,
1210
+ "single_word": false,
1211
+ "special": false
1212
+ },
1213
+ "151": {
1214
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1215
+ "lstrip": false,
1216
+ "normalized": false,
1217
+ "rstrip": false,
1218
+ "single_word": false,
1219
+ "special": false
1220
+ },
1221
+ "152": {
1222
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1223
+ "lstrip": false,
1224
+ "normalized": false,
1225
+ "rstrip": false,
1226
+ "single_word": false,
1227
+ "special": false
1228
+ },
1229
+ "153": {
1230
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1231
+ "lstrip": false,
1232
+ "normalized": false,
1233
+ "rstrip": false,
1234
+ "single_word": false,
1235
+ "special": false
1236
+ },
1237
+ "154": {
1238
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1239
+ "lstrip": false,
1240
+ "normalized": false,
1241
+ "rstrip": false,
1242
+ "single_word": false,
1243
+ "special": false
1244
+ },
1245
+ "155": {
1246
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1247
+ "lstrip": false,
1248
+ "normalized": false,
1249
+ "rstrip": false,
1250
+ "single_word": false,
1251
+ "special": false
1252
+ },
1253
+ "156": {
1254
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1255
+ "lstrip": false,
1256
+ "normalized": false,
1257
+ "rstrip": false,
1258
+ "single_word": false,
1259
+ "special": false
1260
+ },
1261
+ "157": {
1262
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1263
+ "lstrip": false,
1264
+ "normalized": false,
1265
+ "rstrip": false,
1266
+ "single_word": false,
1267
+ "special": false
1268
+ },
1269
+ "158": {
1270
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1271
+ "lstrip": false,
1272
+ "normalized": false,
1273
+ "rstrip": false,
1274
+ "single_word": false,
1275
+ "special": false
1276
+ },
1277
+ "159": {
1278
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1279
+ "lstrip": false,
1280
+ "normalized": false,
1281
+ "rstrip": false,
1282
+ "single_word": false,
1283
+ "special": false
1284
+ },
1285
+ "160": {
1286
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1287
+ "lstrip": false,
1288
+ "normalized": false,
1289
+ "rstrip": false,
1290
+ "single_word": false,
1291
+ "special": false
1292
+ },
1293
+ "161": {
1294
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1295
+ "lstrip": false,
1296
+ "normalized": false,
1297
+ "rstrip": false,
1298
+ "single_word": false,
1299
+ "special": false
1300
+ },
1301
+ "162": {
1302
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1303
+ "lstrip": false,
1304
+ "normalized": false,
1305
+ "rstrip": false,
1306
+ "single_word": false,
1307
+ "special": false
1308
+ },
1309
+ "163": {
1310
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1311
+ "lstrip": false,
1312
+ "normalized": false,
1313
+ "rstrip": false,
1314
+ "single_word": false,
1315
+ "special": false
1316
+ },
1317
+ "164": {
1318
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1319
+ "lstrip": false,
1320
+ "normalized": false,
1321
+ "rstrip": false,
1322
+ "single_word": false,
1323
+ "special": false
1324
+ },
1325
+ "165": {
1326
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1327
+ "lstrip": false,
1328
+ "normalized": false,
1329
+ "rstrip": false,
1330
+ "single_word": false,
1331
+ "special": false
1332
+ },
1333
+ "166": {
1334
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1335
+ "lstrip": false,
1336
+ "normalized": false,
1337
+ "rstrip": false,
1338
+ "single_word": false,
1339
+ "special": false
1340
+ },
1341
+ "167": {
1342
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1343
+ "lstrip": false,
1344
+ "normalized": false,
1345
+ "rstrip": false,
1346
+ "single_word": false,
1347
+ "special": false
1348
+ },
1349
+ "168": {
1350
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1351
+ "lstrip": false,
1352
+ "normalized": false,
1353
+ "rstrip": false,
1354
+ "single_word": false,
1355
+ "special": false
1356
+ },
1357
+ "169": {
1358
+ "content": "<table>",
1359
+ "lstrip": false,
1360
+ "normalized": false,
1361
+ "rstrip": false,
1362
+ "single_word": false,
1363
+ "special": false
1364
+ },
1365
+ "170": {
1366
+ "content": "<caption>",
1367
+ "lstrip": false,
1368
+ "normalized": false,
1369
+ "rstrip": false,
1370
+ "single_word": false,
1371
+ "special": false
1372
+ },
1373
+ "171": {
1374
+ "content": "<thead>",
1375
+ "lstrip": false,
1376
+ "normalized": false,
1377
+ "rstrip": false,
1378
+ "single_word": false,
1379
+ "special": false
1380
+ },
1381
+ "172": {
1382
+ "content": "<tbody>",
1383
+ "lstrip": false,
1384
+ "normalized": false,
1385
+ "rstrip": false,
1386
+ "single_word": false,
1387
+ "special": false
1388
+ },
1389
+ "173": {
1390
+ "content": "<tfoot>",
1391
+ "lstrip": false,
1392
+ "normalized": false,
1393
+ "rstrip": false,
1394
+ "single_word": false,
1395
+ "special": false
1396
+ },
1397
+ "174": {
1398
+ "content": "<tr>",
1399
+ "lstrip": false,
1400
+ "normalized": false,
1401
+ "rstrip": false,
1402
+ "single_word": false,
1403
+ "special": false
1404
+ },
1405
+ "175": {
1406
+ "content": "<th>",
1407
+ "lstrip": false,
1408
+ "normalized": false,
1409
+ "rstrip": false,
1410
+ "single_word": false,
1411
+ "special": false
1412
+ },
1413
+ "176": {
1414
+ "content": "<td>",
1415
+ "lstrip": false,
1416
+ "normalized": false,
1417
+ "rstrip": false,
1418
+ "single_word": false,
1419
+ "special": false
1420
+ },
1421
+ "177": {
1422
+ "content": "</table>",
1423
+ "lstrip": false,
1424
+ "normalized": false,
1425
+ "rstrip": false,
1426
+ "single_word": false,
1427
+ "special": false
1428
+ },
1429
+ "178": {
1430
+ "content": "</caption>",
1431
+ "lstrip": false,
1432
+ "normalized": false,
1433
+ "rstrip": false,
1434
+ "single_word": false,
1435
+ "special": false
1436
+ },
1437
+ "179": {
1438
+ "content": "</thead>",
1439
+ "lstrip": false,
1440
+ "normalized": false,
1441
+ "rstrip": false,
1442
+ "single_word": false,
1443
+ "special": false
1444
+ },
1445
+ "180": {
1446
+ "content": "</tbody>",
1447
+ "lstrip": false,
1448
+ "normalized": false,
1449
+ "rstrip": false,
1450
+ "single_word": false,
1451
+ "special": false
1452
+ },
1453
+ "181": {
1454
+ "content": "</tfoot>",
1455
+ "lstrip": false,
1456
+ "normalized": false,
1457
+ "rstrip": false,
1458
+ "single_word": false,
1459
+ "special": false
1460
+ },
1461
+ "182": {
1462
+ "content": "</tr>",
1463
+ "lstrip": false,
1464
+ "normalized": false,
1465
+ "rstrip": false,
1466
+ "single_word": false,
1467
+ "special": false
1468
+ },
1469
+ "183": {
1470
+ "content": "</th>",
1471
+ "lstrip": false,
1472
+ "normalized": false,
1473
+ "rstrip": false,
1474
+ "single_word": false,
1475
+ "special": false
1476
+ },
1477
+ "184": {
1478
+ "content": "</td>",
1479
+ "lstrip": false,
1480
+ "normalized": false,
1481
+ "rstrip": false,
1482
+ "single_word": false,
1483
+ "special": false
1484
+ },
1485
+ "185": {
1486
+ "content": "<h1>",
1487
+ "lstrip": false,
1488
+ "normalized": false,
1489
+ "rstrip": false,
1490
+ "single_word": false,
1491
+ "special": false
1492
+ },
1493
+ "186": {
1494
+ "content": "<h2>",
1495
+ "lstrip": false,
1496
+ "normalized": false,
1497
+ "rstrip": false,
1498
+ "single_word": false,
1499
+ "special": false
1500
+ },
1501
+ "187": {
1502
+ "content": "<h3>",
1503
+ "lstrip": false,
1504
+ "normalized": false,
1505
+ "rstrip": false,
1506
+ "single_word": false,
1507
+ "special": false
1508
+ },
1509
+ "188": {
1510
+ "content": "<h4>",
1511
+ "lstrip": false,
1512
+ "normalized": false,
1513
+ "rstrip": false,
1514
+ "single_word": false,
1515
+ "special": false
1516
+ },
1517
+ "189": {
1518
+ "content": "<h5>",
1519
+ "lstrip": false,
1520
+ "normalized": false,
1521
+ "rstrip": false,
1522
+ "single_word": false,
1523
+ "special": false
1524
+ },
1525
+ "190": {
1526
+ "content": "<h6>",
1527
+ "lstrip": false,
1528
+ "normalized": false,
1529
+ "rstrip": false,
1530
+ "single_word": false,
1531
+ "special": false
1532
+ },
1533
+ "191": {
1534
+ "content": "<blockquote>",
1535
+ "lstrip": false,
1536
+ "normalized": false,
1537
+ "rstrip": false,
1538
+ "single_word": false,
1539
+ "special": false
1540
+ },
1541
+ "192": {
1542
+ "content": "</h1>",
1543
+ "lstrip": false,
1544
+ "normalized": false,
1545
+ "rstrip": false,
1546
+ "single_word": false,
1547
+ "special": false
1548
+ },
1549
+ "193": {
1550
+ "content": "</h2>",
1551
+ "lstrip": false,
1552
+ "normalized": false,
1553
+ "rstrip": false,
1554
+ "single_word": false,
1555
+ "special": false
1556
+ },
1557
+ "194": {
1558
+ "content": "</h3>",
1559
+ "lstrip": false,
1560
+ "normalized": false,
1561
+ "rstrip": false,
1562
+ "single_word": false,
1563
+ "special": false
1564
+ },
1565
+ "195": {
1566
+ "content": "</h4>",
1567
+ "lstrip": false,
1568
+ "normalized": false,
1569
+ "rstrip": false,
1570
+ "single_word": false,
1571
+ "special": false
1572
+ },
1573
+ "196": {
1574
+ "content": "</h5>",
1575
+ "lstrip": false,
1576
+ "normalized": false,
1577
+ "rstrip": false,
1578
+ "single_word": false,
1579
+ "special": false
1580
+ },
1581
+ "197": {
1582
+ "content": "</h6>",
1583
+ "lstrip": false,
1584
+ "normalized": false,
1585
+ "rstrip": false,
1586
+ "single_word": false,
1587
+ "special": false
1588
+ },
1589
+ "198": {
1590
+ "content": "</blockquote>",
1591
+ "lstrip": false,
1592
+ "normalized": false,
1593
+ "rstrip": false,
1594
+ "single_word": false,
1595
+ "special": false
1596
+ },
1597
+ "199": {
1598
+ "content": "<strong>",
1599
+ "lstrip": false,
1600
+ "normalized": false,
1601
+ "rstrip": false,
1602
+ "single_word": false,
1603
+ "special": false
1604
+ },
1605
+ "200": {
1606
+ "content": "<em>",
1607
+ "lstrip": false,
1608
+ "normalized": false,
1609
+ "rstrip": false,
1610
+ "single_word": false,
1611
+ "special": false
1612
+ },
1613
+ "201": {
1614
+ "content": "<b>",
1615
+ "lstrip": false,
1616
+ "normalized": false,
1617
+ "rstrip": false,
1618
+ "single_word": false,
1619
+ "special": false
1620
+ },
1621
+ "202": {
1622
+ "content": "<i>",
1623
+ "lstrip": false,
1624
+ "normalized": false,
1625
+ "rstrip": false,
1626
+ "single_word": false,
1627
+ "special": false
1628
+ },
1629
+ "203": {
1630
+ "content": "<u>",
1631
+ "lstrip": false,
1632
+ "normalized": false,
1633
+ "rstrip": false,
1634
+ "single_word": false,
1635
+ "special": false
1636
+ },
1637
+ "204": {
1638
+ "content": "<s>",
1639
+ "lstrip": false,
1640
+ "normalized": false,
1641
+ "rstrip": false,
1642
+ "single_word": false,
1643
+ "special": false
1644
+ },
1645
+ "205": {
1646
+ "content": "<sub>",
1647
+ "lstrip": false,
1648
+ "normalized": false,
1649
+ "rstrip": false,
1650
+ "single_word": false,
1651
+ "special": false
1652
+ },
1653
+ "206": {
1654
+ "content": "<sup>",
1655
+ "lstrip": false,
1656
+ "normalized": false,
1657
+ "rstrip": false,
1658
+ "single_word": false,
1659
+ "special": false
1660
+ },
1661
+ "207": {
1662
+ "content": "<code>",
1663
+ "lstrip": false,
1664
+ "normalized": false,
1665
+ "rstrip": false,
1666
+ "single_word": false,
1667
+ "special": false
1668
+ },
1669
+ "208": {
1670
+ "content": "</strong>",
1671
+ "lstrip": false,
1672
+ "normalized": false,
1673
+ "rstrip": false,
1674
+ "single_word": false,
1675
+ "special": false
1676
+ },
1677
+ "209": {
1678
+ "content": "</em>",
1679
+ "lstrip": false,
1680
+ "normalized": false,
1681
+ "rstrip": false,
1682
+ "single_word": false,
1683
+ "special": false
1684
+ },
1685
+ "210": {
1686
+ "content": "</b>",
1687
+ "lstrip": false,
1688
+ "normalized": false,
1689
+ "rstrip": false,
1690
+ "single_word": false,
1691
+ "special": false
1692
+ },
1693
+ "211": {
1694
+ "content": "</i>",
1695
+ "lstrip": false,
1696
+ "normalized": false,
1697
+ "rstrip": false,
1698
+ "single_word": false,
1699
+ "special": false
1700
+ },
1701
+ "212": {
1702
+ "content": "</u>",
1703
+ "lstrip": false,
1704
+ "normalized": false,
1705
+ "rstrip": false,
1706
+ "single_word": false,
1707
+ "special": false
1708
+ },
1709
+ "213": {
1710
+ "content": "</s>",
1711
+ "lstrip": false,
1712
+ "normalized": false,
1713
+ "rstrip": false,
1714
+ "single_word": false,
1715
+ "special": false
1716
+ },
1717
+ "214": {
1718
+ "content": "</sub>",
1719
+ "lstrip": false,
1720
+ "normalized": false,
1721
+ "rstrip": false,
1722
+ "single_word": false,
1723
+ "special": false
1724
+ },
1725
+ "215": {
1726
+ "content": "</sup>",
1727
+ "lstrip": false,
1728
+ "normalized": false,
1729
+ "rstrip": false,
1730
+ "single_word": false,
1731
+ "special": false
1732
+ },
1733
+ "216": {
1734
+ "content": "</code>",
1735
+ "lstrip": false,
1736
+ "normalized": false,
1737
+ "rstrip": false,
1738
+ "single_word": false,
1739
+ "special": false
1740
+ },
1741
+ "255968": {
1742
+ "content": "[toxicity=0]",
1743
+ "lstrip": false,
1744
+ "normalized": false,
1745
+ "rstrip": false,
1746
+ "single_word": false,
1747
+ "special": false
1748
+ },
1749
+ "255969": {
1750
+ "content": "\t\t",
1751
+ "lstrip": false,
1752
+ "normalized": false,
1753
+ "rstrip": false,
1754
+ "single_word": false,
1755
+ "special": false
1756
+ },
1757
+ "255970": {
1758
+ "content": "\t\t\t",
1759
+ "lstrip": false,
1760
+ "normalized": false,
1761
+ "rstrip": false,
1762
+ "single_word": false,
1763
+ "special": false
1764
+ },
1765
+ "255971": {
1766
+ "content": "\t\t\t\t",
1767
+ "lstrip": false,
1768
+ "normalized": false,
1769
+ "rstrip": false,
1770
+ "single_word": false,
1771
+ "special": false
1772
+ },
1773
+ "255972": {
1774
+ "content": "\t\t\t\t\t",
1775
+ "lstrip": false,
1776
+ "normalized": false,
1777
+ "rstrip": false,
1778
+ "single_word": false,
1779
+ "special": false
1780
+ },
1781
+ "255973": {
1782
+ "content": "\t\t\t\t\t\t",
1783
+ "lstrip": false,
1784
+ "normalized": false,
1785
+ "rstrip": false,
1786
+ "single_word": false,
1787
+ "special": false
1788
+ },
1789
+ "255974": {
1790
+ "content": "\t\t\t\t\t\t\t",
1791
+ "lstrip": false,
1792
+ "normalized": false,
1793
+ "rstrip": false,
1794
+ "single_word": false,
1795
+ "special": false
1796
+ },
1797
+ "255975": {
1798
+ "content": "\t\t\t\t\t\t\t\t",
1799
+ "lstrip": false,
1800
+ "normalized": false,
1801
+ "rstrip": false,
1802
+ "single_word": false,
1803
+ "special": false
1804
+ },
1805
+ "255976": {
1806
+ "content": "\t\t\t\t\t\t\t\t\t",
1807
+ "lstrip": false,
1808
+ "normalized": false,
1809
+ "rstrip": false,
1810
+ "single_word": false,
1811
+ "special": false
1812
+ },
1813
+ "255977": {
1814
+ "content": "\t\t\t\t\t\t\t\t\t\t",
1815
+ "lstrip": false,
1816
+ "normalized": false,
1817
+ "rstrip": false,
1818
+ "single_word": false,
1819
+ "special": false
1820
+ },
1821
+ "255978": {
1822
+ "content": "\t\t\t\t\t\t\t\t\t\t\t",
1823
+ "lstrip": false,
1824
+ "normalized": false,
1825
+ "rstrip": false,
1826
+ "single_word": false,
1827
+ "special": false
1828
+ },
1829
+ "255979": {
1830
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t",
1831
+ "lstrip": false,
1832
+ "normalized": false,
1833
+ "rstrip": false,
1834
+ "single_word": false,
1835
+ "special": false
1836
+ },
1837
+ "255980": {
1838
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t",
1839
+ "lstrip": false,
1840
+ "normalized": false,
1841
+ "rstrip": false,
1842
+ "single_word": false,
1843
+ "special": false
1844
+ },
1845
+ "255981": {
1846
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1847
+ "lstrip": false,
1848
+ "normalized": false,
1849
+ "rstrip": false,
1850
+ "single_word": false,
1851
+ "special": false
1852
+ },
1853
+ "255982": {
1854
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1855
+ "lstrip": false,
1856
+ "normalized": false,
1857
+ "rstrip": false,
1858
+ "single_word": false,
1859
+ "special": false
1860
+ },
1861
+ "255983": {
1862
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1863
+ "lstrip": false,
1864
+ "normalized": false,
1865
+ "rstrip": false,
1866
+ "single_word": false,
1867
+ "special": false
1868
+ },
1869
+ "255984": {
1870
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1871
+ "lstrip": false,
1872
+ "normalized": false,
1873
+ "rstrip": false,
1874
+ "single_word": false,
1875
+ "special": false
1876
+ },
1877
+ "255985": {
1878
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1879
+ "lstrip": false,
1880
+ "normalized": false,
1881
+ "rstrip": false,
1882
+ "single_word": false,
1883
+ "special": false
1884
+ },
1885
+ "255986": {
1886
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1887
+ "lstrip": false,
1888
+ "normalized": false,
1889
+ "rstrip": false,
1890
+ "single_word": false,
1891
+ "special": false
1892
+ },
1893
+ "255987": {
1894
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1895
+ "lstrip": false,
1896
+ "normalized": false,
1897
+ "rstrip": false,
1898
+ "single_word": false,
1899
+ "special": false
1900
+ },
1901
+ "255988": {
1902
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1903
+ "lstrip": false,
1904
+ "normalized": false,
1905
+ "rstrip": false,
1906
+ "single_word": false,
1907
+ "special": false
1908
+ },
1909
+ "255989": {
1910
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1911
+ "lstrip": false,
1912
+ "normalized": false,
1913
+ "rstrip": false,
1914
+ "single_word": false,
1915
+ "special": false
1916
+ },
1917
+ "255990": {
1918
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1919
+ "lstrip": false,
1920
+ "normalized": false,
1921
+ "rstrip": false,
1922
+ "single_word": false,
1923
+ "special": false
1924
+ },
1925
+ "255991": {
1926
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1927
+ "lstrip": false,
1928
+ "normalized": false,
1929
+ "rstrip": false,
1930
+ "single_word": false,
1931
+ "special": false
1932
+ },
1933
+ "255992": {
1934
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1935
+ "lstrip": false,
1936
+ "normalized": false,
1937
+ "rstrip": false,
1938
+ "single_word": false,
1939
+ "special": false
1940
+ },
1941
+ "255993": {
1942
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1943
+ "lstrip": false,
1944
+ "normalized": false,
1945
+ "rstrip": false,
1946
+ "single_word": false,
1947
+ "special": false
1948
+ },
1949
+ "255994": {
1950
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1951
+ "lstrip": false,
1952
+ "normalized": false,
1953
+ "rstrip": false,
1954
+ "single_word": false,
1955
+ "special": false
1956
+ },
1957
+ "255995": {
1958
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1959
+ "lstrip": false,
1960
+ "normalized": false,
1961
+ "rstrip": false,
1962
+ "single_word": false,
1963
+ "special": false
1964
+ },
1965
+ "255996": {
1966
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1967
+ "lstrip": false,
1968
+ "normalized": false,
1969
+ "rstrip": false,
1970
+ "single_word": false,
1971
+ "special": false
1972
+ },
1973
+ "255997": {
1974
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1975
+ "lstrip": false,
1976
+ "normalized": false,
1977
+ "rstrip": false,
1978
+ "single_word": false,
1979
+ "special": false
1980
+ },
1981
+ "255998": {
1982
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1983
+ "lstrip": false,
1984
+ "normalized": false,
1985
+ "rstrip": false,
1986
+ "single_word": false,
1987
+ "special": false
1988
+ },
1989
+ "255999": {
1990
+ "content": "<unused99>",
1991
+ "lstrip": false,
1992
+ "normalized": false,
1993
+ "rstrip": false,
1994
+ "single_word": false,
1995
+ "special": false
1996
+ }
1997
+ },
1998
+ "additional_special_tokens": [
1999
+ "<start_of_turn>",
2000
+ "<end_of_turn>"
2001
+ ],
2002
+ "bos_token": "<bos>",
2003
+ "clean_up_tokenization_spaces": false,
2004
+ "eos_token": "<eos>",
2005
+ "extra_special_tokens": {},
2006
+ "model_max_length": 1000000000000000019884624838656,
2007
+ "pad_token": "<pad>",
2008
+ "sp_model_kwargs": {},
2009
+ "spaces_between_special_tokens": false,
2010
+ "tokenizer_class": "GemmaTokenizer",
2011
+ "unk_token": "<unk>",
2012
+ "use_default_system_prompt": false
2013
+ }
checkpoint-2500/trainer_state.json ADDED
@@ -0,0 +1,3084 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 7.9888,
6
+ "eval_steps": 100,
7
+ "global_step": 2500,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "entropy": 2.528095572441816,
14
+ "epoch": 0.032,
15
+ "grad_norm": 251.0,
16
+ "learning_rate": 1.8e-07,
17
+ "loss": 6.6082,
18
+ "mean_token_accuracy": 0.21971591785550118,
19
+ "num_tokens": 166758.0,
20
+ "step": 10
21
+ },
22
+ {
23
+ "entropy": 2.540951229631901,
24
+ "epoch": 0.064,
25
+ "grad_norm": 255.0,
26
+ "learning_rate": 3.8e-07,
27
+ "loss": 6.521,
28
+ "mean_token_accuracy": 0.22138903560116888,
29
+ "num_tokens": 333231.0,
30
+ "step": 20
31
+ },
32
+ {
33
+ "entropy": 2.5206488400697706,
34
+ "epoch": 0.096,
35
+ "grad_norm": 260.0,
36
+ "learning_rate": 5.800000000000001e-07,
37
+ "loss": 6.4223,
38
+ "mean_token_accuracy": 0.22258271211758257,
39
+ "num_tokens": 494697.0,
40
+ "step": 30
41
+ },
42
+ {
43
+ "entropy": 2.5920443564653395,
44
+ "epoch": 0.128,
45
+ "grad_norm": 243.0,
46
+ "learning_rate": 7.8e-07,
47
+ "loss": 6.2586,
48
+ "mean_token_accuracy": 0.22078513531014324,
49
+ "num_tokens": 665636.0,
50
+ "step": 40
51
+ },
52
+ {
53
+ "entropy": 2.7184064492583273,
54
+ "epoch": 0.16,
55
+ "grad_norm": 188.0,
56
+ "learning_rate": 9.800000000000001e-07,
57
+ "loss": 5.9925,
58
+ "mean_token_accuracy": 0.21972714476287364,
59
+ "num_tokens": 831010.0,
60
+ "step": 50
61
+ },
62
+ {
63
+ "entropy": 2.7776166409254075,
64
+ "epoch": 0.192,
65
+ "grad_norm": 141.0,
66
+ "learning_rate": 1.1800000000000001e-06,
67
+ "loss": 5.3252,
68
+ "mean_token_accuracy": 0.23665523305535316,
69
+ "num_tokens": 997538.0,
70
+ "step": 60
71
+ },
72
+ {
73
+ "entropy": 2.8701344512403013,
74
+ "epoch": 0.224,
75
+ "grad_norm": 80.5,
76
+ "learning_rate": 1.3800000000000001e-06,
77
+ "loss": 4.6962,
78
+ "mean_token_accuracy": 0.26214539231732487,
79
+ "num_tokens": 1166249.0,
80
+ "step": 70
81
+ },
82
+ {
83
+ "entropy": 3.226949879527092,
84
+ "epoch": 0.256,
85
+ "grad_norm": 54.25,
86
+ "learning_rate": 1.5800000000000001e-06,
87
+ "loss": 4.2438,
88
+ "mean_token_accuracy": 0.2808788095600903,
89
+ "num_tokens": 1332878.0,
90
+ "step": 80
91
+ },
92
+ {
93
+ "entropy": 3.3381400883197783,
94
+ "epoch": 0.288,
95
+ "grad_norm": 35.75,
96
+ "learning_rate": 1.7800000000000001e-06,
97
+ "loss": 3.7944,
98
+ "mean_token_accuracy": 0.31892537530511617,
99
+ "num_tokens": 1499929.0,
100
+ "step": 90
101
+ },
102
+ {
103
+ "entropy": 3.3039391934871674,
104
+ "epoch": 0.32,
105
+ "grad_norm": 23.625,
106
+ "learning_rate": 1.98e-06,
107
+ "loss": 3.4785,
108
+ "mean_token_accuracy": 0.34879792630672457,
109
+ "num_tokens": 1660639.0,
110
+ "step": 100
111
+ },
112
+ {
113
+ "epoch": 0.32,
114
+ "eval_coding_entropy": 1.9907222771644593,
115
+ "eval_coding_loss": 2.2322070598602295,
116
+ "eval_coding_mean_token_accuracy": 0.49504432117938996,
117
+ "eval_coding_num_tokens": 1660639.0,
118
+ "eval_coding_runtime": 80.8983,
119
+ "eval_coding_samples_per_second": 6.181,
120
+ "eval_coding_steps_per_second": 3.09,
121
+ "step": 100
122
+ },
123
+ {
124
+ "epoch": 0.32,
125
+ "eval_physics_entropy": 3.267650173187256,
126
+ "eval_physics_loss": 3.3989615440368652,
127
+ "eval_physics_mean_token_accuracy": 0.35563090866804126,
128
+ "eval_physics_num_tokens": 1660639.0,
129
+ "eval_physics_runtime": 51.1457,
130
+ "eval_physics_samples_per_second": 9.776,
131
+ "eval_physics_steps_per_second": 4.888,
132
+ "step": 100
133
+ },
134
+ {
135
+ "entropy": 3.207504133880138,
136
+ "epoch": 0.352,
137
+ "grad_norm": 22.875,
138
+ "learning_rate": 2.1800000000000003e-06,
139
+ "loss": 3.2646,
140
+ "mean_token_accuracy": 0.36884861923754214,
141
+ "num_tokens": 1827104.0,
142
+ "step": 110
143
+ },
144
+ {
145
+ "entropy": 3.0256898537278176,
146
+ "epoch": 0.384,
147
+ "grad_norm": 17.625,
148
+ "learning_rate": 2.38e-06,
149
+ "loss": 3.0598,
150
+ "mean_token_accuracy": 0.393247177824378,
151
+ "num_tokens": 1991838.0,
152
+ "step": 120
153
+ },
154
+ {
155
+ "entropy": 2.9381186082959174,
156
+ "epoch": 0.416,
157
+ "grad_norm": 16.5,
158
+ "learning_rate": 2.5800000000000003e-06,
159
+ "loss": 2.9254,
160
+ "mean_token_accuracy": 0.41124203372746704,
161
+ "num_tokens": 2160667.0,
162
+ "step": 130
163
+ },
164
+ {
165
+ "entropy": 2.8182168558239935,
166
+ "epoch": 0.448,
167
+ "grad_norm": 15.625,
168
+ "learning_rate": 2.7800000000000005e-06,
169
+ "loss": 2.8359,
170
+ "mean_token_accuracy": 0.42758033741265533,
171
+ "num_tokens": 2318749.0,
172
+ "step": 140
173
+ },
174
+ {
175
+ "entropy": 2.7808817446231844,
176
+ "epoch": 0.48,
177
+ "grad_norm": 17.0,
178
+ "learning_rate": 2.9800000000000003e-06,
179
+ "loss": 2.7479,
180
+ "mean_token_accuracy": 0.43509358577430246,
181
+ "num_tokens": 2485149.0,
182
+ "step": 150
183
+ },
184
+ {
185
+ "entropy": 2.71549072638154,
186
+ "epoch": 0.512,
187
+ "grad_norm": 14.0,
188
+ "learning_rate": 3.1800000000000005e-06,
189
+ "loss": 2.6955,
190
+ "mean_token_accuracy": 0.45029620360583067,
191
+ "num_tokens": 2649860.0,
192
+ "step": 160
193
+ },
194
+ {
195
+ "entropy": 2.6384543806314467,
196
+ "epoch": 0.544,
197
+ "grad_norm": 16.875,
198
+ "learning_rate": 3.3800000000000007e-06,
199
+ "loss": 2.6629,
200
+ "mean_token_accuracy": 0.4562853068113327,
201
+ "num_tokens": 2808370.0,
202
+ "step": 170
203
+ },
204
+ {
205
+ "entropy": 2.550112411379814,
206
+ "epoch": 0.576,
207
+ "grad_norm": 15.6875,
208
+ "learning_rate": 3.58e-06,
209
+ "loss": 2.522,
210
+ "mean_token_accuracy": 0.46982257775962355,
211
+ "num_tokens": 2983767.0,
212
+ "step": 180
213
+ },
214
+ {
215
+ "entropy": 2.522789068520069,
216
+ "epoch": 0.608,
217
+ "grad_norm": 15.875,
218
+ "learning_rate": 3.7800000000000002e-06,
219
+ "loss": 2.5013,
220
+ "mean_token_accuracy": 0.47677798476070166,
221
+ "num_tokens": 3155652.0,
222
+ "step": 190
223
+ },
224
+ {
225
+ "entropy": 2.527734723687172,
226
+ "epoch": 0.64,
227
+ "grad_norm": 14.1875,
228
+ "learning_rate": 3.980000000000001e-06,
229
+ "loss": 2.5057,
230
+ "mean_token_accuracy": 0.4807511504739523,
231
+ "num_tokens": 3318780.0,
232
+ "step": 200
233
+ },
234
+ {
235
+ "epoch": 0.64,
236
+ "eval_coding_entropy": 1.9231958236694335,
237
+ "eval_coding_loss": 2.1203882694244385,
238
+ "eval_coding_mean_token_accuracy": 0.5172480183839798,
239
+ "eval_coding_num_tokens": 3318780.0,
240
+ "eval_coding_runtime": 80.4856,
241
+ "eval_coding_samples_per_second": 6.212,
242
+ "eval_coding_steps_per_second": 3.106,
243
+ "step": 200
244
+ },
245
+ {
246
+ "epoch": 0.64,
247
+ "eval_physics_entropy": 2.5159819135665895,
248
+ "eval_physics_loss": 2.5135059356689453,
249
+ "eval_physics_mean_token_accuracy": 0.4827461049556732,
250
+ "eval_physics_num_tokens": 3318780.0,
251
+ "eval_physics_runtime": 51.3771,
252
+ "eval_physics_samples_per_second": 9.732,
253
+ "eval_physics_steps_per_second": 4.866,
254
+ "step": 200
255
+ },
256
+ {
257
+ "entropy": 2.438960626721382,
258
+ "epoch": 0.672,
259
+ "grad_norm": 14.0,
260
+ "learning_rate": 4.18e-06,
261
+ "loss": 2.4172,
262
+ "mean_token_accuracy": 0.49055377542972567,
263
+ "num_tokens": 3487395.0,
264
+ "step": 210
265
+ },
266
+ {
267
+ "entropy": 2.472309985756874,
268
+ "epoch": 0.704,
269
+ "grad_norm": 13.6875,
270
+ "learning_rate": 4.38e-06,
271
+ "loss": 2.4486,
272
+ "mean_token_accuracy": 0.49062253087759017,
273
+ "num_tokens": 3651864.0,
274
+ "step": 220
275
+ },
276
+ {
277
+ "entropy": 2.414797979593277,
278
+ "epoch": 0.736,
279
+ "grad_norm": 14.6875,
280
+ "learning_rate": 4.58e-06,
281
+ "loss": 2.3461,
282
+ "mean_token_accuracy": 0.5045956864953041,
283
+ "num_tokens": 3818374.0,
284
+ "step": 230
285
+ },
286
+ {
287
+ "entropy": 2.353023274987936,
288
+ "epoch": 0.768,
289
+ "grad_norm": 13.0,
290
+ "learning_rate": 4.78e-06,
291
+ "loss": 2.3681,
292
+ "mean_token_accuracy": 0.4942123286426067,
293
+ "num_tokens": 3988751.0,
294
+ "step": 240
295
+ },
296
+ {
297
+ "entropy": 2.416274122148752,
298
+ "epoch": 0.8,
299
+ "grad_norm": 14.5625,
300
+ "learning_rate": 4.980000000000001e-06,
301
+ "loss": 2.3306,
302
+ "mean_token_accuracy": 0.5045285696163774,
303
+ "num_tokens": 4155352.0,
304
+ "step": 250
305
+ },
306
+ {
307
+ "entropy": 2.281172037869692,
308
+ "epoch": 0.832,
309
+ "grad_norm": 15.5,
310
+ "learning_rate": 5.18e-06,
311
+ "loss": 2.2632,
312
+ "mean_token_accuracy": 0.5146352685987949,
313
+ "num_tokens": 4322729.0,
314
+ "step": 260
315
+ },
316
+ {
317
+ "entropy": 2.2468128435313703,
318
+ "epoch": 0.864,
319
+ "grad_norm": 14.9375,
320
+ "learning_rate": 5.380000000000001e-06,
321
+ "loss": 2.2379,
322
+ "mean_token_accuracy": 0.5204494217410683,
323
+ "num_tokens": 4488640.0,
324
+ "step": 270
325
+ },
326
+ {
327
+ "entropy": 2.2410816878080366,
328
+ "epoch": 0.896,
329
+ "grad_norm": 16.875,
330
+ "learning_rate": 5.580000000000001e-06,
331
+ "loss": 2.1895,
332
+ "mean_token_accuracy": 0.5250083984807133,
333
+ "num_tokens": 4652901.0,
334
+ "step": 280
335
+ },
336
+ {
337
+ "entropy": 2.2374437876045703,
338
+ "epoch": 0.928,
339
+ "grad_norm": 14.0625,
340
+ "learning_rate": 5.78e-06,
341
+ "loss": 2.2064,
342
+ "mean_token_accuracy": 0.5245540315285325,
343
+ "num_tokens": 4816150.0,
344
+ "step": 290
345
+ },
346
+ {
347
+ "entropy": 2.2606516920030115,
348
+ "epoch": 0.96,
349
+ "grad_norm": 19.125,
350
+ "learning_rate": 5.98e-06,
351
+ "loss": 2.2002,
352
+ "mean_token_accuracy": 0.5214386826381088,
353
+ "num_tokens": 4979460.0,
354
+ "step": 300
355
+ },
356
+ {
357
+ "epoch": 0.96,
358
+ "eval_coding_entropy": 1.8473192281723023,
359
+ "eval_coding_loss": 2.0820884704589844,
360
+ "eval_coding_mean_token_accuracy": 0.524997807264328,
361
+ "eval_coding_num_tokens": 4979460.0,
362
+ "eval_coding_runtime": 80.4582,
363
+ "eval_coding_samples_per_second": 6.214,
364
+ "eval_coding_steps_per_second": 3.107,
365
+ "step": 300
366
+ },
367
+ {
368
+ "epoch": 0.96,
369
+ "eval_physics_entropy": 2.2321053309440613,
370
+ "eval_physics_loss": 2.229076623916626,
371
+ "eval_physics_mean_token_accuracy": 0.5284112887382507,
372
+ "eval_physics_num_tokens": 4979460.0,
373
+ "eval_physics_runtime": 51.2237,
374
+ "eval_physics_samples_per_second": 9.761,
375
+ "eval_physics_steps_per_second": 4.881,
376
+ "step": 300
377
+ },
378
+ {
379
+ "entropy": 2.2165822848677634,
380
+ "epoch": 0.992,
381
+ "grad_norm": 15.0625,
382
+ "learning_rate": 6.18e-06,
383
+ "loss": 2.1527,
384
+ "mean_token_accuracy": 0.5346193177625537,
385
+ "num_tokens": 5141579.0,
386
+ "step": 310
387
+ },
388
+ {
389
+ "entropy": 2.1579121876704064,
390
+ "epoch": 1.0224,
391
+ "grad_norm": 14.9375,
392
+ "learning_rate": 6.380000000000001e-06,
393
+ "loss": 2.154,
394
+ "mean_token_accuracy": 0.5380644239485264,
395
+ "num_tokens": 5293853.0,
396
+ "step": 320
397
+ },
398
+ {
399
+ "entropy": 2.174650950729847,
400
+ "epoch": 1.0544,
401
+ "grad_norm": 15.1875,
402
+ "learning_rate": 6.5800000000000005e-06,
403
+ "loss": 2.0969,
404
+ "mean_token_accuracy": 0.5382843470200896,
405
+ "num_tokens": 5468879.0,
406
+ "step": 330
407
+ },
408
+ {
409
+ "entropy": 2.1786041535437106,
410
+ "epoch": 1.0864,
411
+ "grad_norm": 16.375,
412
+ "learning_rate": 6.780000000000001e-06,
413
+ "loss": 2.134,
414
+ "mean_token_accuracy": 0.5381590958684683,
415
+ "num_tokens": 5631568.0,
416
+ "step": 340
417
+ },
418
+ {
419
+ "entropy": 2.1562098674476147,
420
+ "epoch": 1.1184,
421
+ "grad_norm": 12.8125,
422
+ "learning_rate": 6.98e-06,
423
+ "loss": 2.1148,
424
+ "mean_token_accuracy": 0.5428470510989427,
425
+ "num_tokens": 5791547.0,
426
+ "step": 350
427
+ },
428
+ {
429
+ "entropy": 2.059814189374447,
430
+ "epoch": 1.1504,
431
+ "grad_norm": 16.25,
432
+ "learning_rate": 7.180000000000001e-06,
433
+ "loss": 2.0175,
434
+ "mean_token_accuracy": 0.5590213229879737,
435
+ "num_tokens": 5956551.0,
436
+ "step": 360
437
+ },
438
+ {
439
+ "entropy": 2.0704366780817507,
440
+ "epoch": 1.1824,
441
+ "grad_norm": 14.8125,
442
+ "learning_rate": 7.3800000000000005e-06,
443
+ "loss": 2.0403,
444
+ "mean_token_accuracy": 0.5531206054612994,
445
+ "num_tokens": 6115916.0,
446
+ "step": 370
447
+ },
448
+ {
449
+ "entropy": 2.0873717822134497,
450
+ "epoch": 1.2144,
451
+ "grad_norm": 16.25,
452
+ "learning_rate": 7.58e-06,
453
+ "loss": 2.043,
454
+ "mean_token_accuracy": 0.5543898642063141,
455
+ "num_tokens": 6276148.0,
456
+ "step": 380
457
+ },
458
+ {
459
+ "entropy": 2.04577656313777,
460
+ "epoch": 1.2464,
461
+ "grad_norm": 13.9375,
462
+ "learning_rate": 7.78e-06,
463
+ "loss": 1.993,
464
+ "mean_token_accuracy": 0.5662586340680719,
465
+ "num_tokens": 6439971.0,
466
+ "step": 390
467
+ },
468
+ {
469
+ "entropy": 2.008312249928713,
470
+ "epoch": 1.2784,
471
+ "grad_norm": 16.625,
472
+ "learning_rate": 7.980000000000002e-06,
473
+ "loss": 1.9767,
474
+ "mean_token_accuracy": 0.5602528670802712,
475
+ "num_tokens": 6604463.0,
476
+ "step": 400
477
+ },
478
+ {
479
+ "epoch": 1.2784,
480
+ "eval_coding_entropy": 1.8172951374053956,
481
+ "eval_coding_loss": 2.0788559913635254,
482
+ "eval_coding_mean_token_accuracy": 0.5274689586162568,
483
+ "eval_coding_num_tokens": 6604463.0,
484
+ "eval_coding_runtime": 80.4971,
485
+ "eval_coding_samples_per_second": 6.211,
486
+ "eval_coding_steps_per_second": 3.106,
487
+ "step": 400
488
+ },
489
+ {
490
+ "epoch": 1.2784,
491
+ "eval_physics_entropy": 2.0293436307907102,
492
+ "eval_physics_loss": 2.043572425842285,
493
+ "eval_physics_mean_token_accuracy": 0.559833680510521,
494
+ "eval_physics_num_tokens": 6604463.0,
495
+ "eval_physics_runtime": 51.3417,
496
+ "eval_physics_samples_per_second": 9.739,
497
+ "eval_physics_steps_per_second": 4.869,
498
+ "step": 400
499
+ },
500
+ {
501
+ "entropy": 2.016567553579807,
502
+ "epoch": 1.3104,
503
+ "grad_norm": 14.3125,
504
+ "learning_rate": 8.18e-06,
505
+ "loss": 1.9446,
506
+ "mean_token_accuracy": 0.5671767380088568,
507
+ "num_tokens": 6769215.0,
508
+ "step": 410
509
+ },
510
+ {
511
+ "entropy": 1.9617419019341469,
512
+ "epoch": 1.3424,
513
+ "grad_norm": 25.875,
514
+ "learning_rate": 8.380000000000001e-06,
515
+ "loss": 1.9262,
516
+ "mean_token_accuracy": 0.5718308322131633,
517
+ "num_tokens": 6937523.0,
518
+ "step": 420
519
+ },
520
+ {
521
+ "entropy": 1.9939539097249508,
522
+ "epoch": 1.3744,
523
+ "grad_norm": 17.625,
524
+ "learning_rate": 8.580000000000001e-06,
525
+ "loss": 1.9598,
526
+ "mean_token_accuracy": 0.5657142391428351,
527
+ "num_tokens": 7103833.0,
528
+ "step": 430
529
+ },
530
+ {
531
+ "entropy": 2.021407524496317,
532
+ "epoch": 1.4064,
533
+ "grad_norm": 18.125,
534
+ "learning_rate": 8.78e-06,
535
+ "loss": 1.9777,
536
+ "mean_token_accuracy": 0.5662051374092698,
537
+ "num_tokens": 7266794.0,
538
+ "step": 440
539
+ },
540
+ {
541
+ "entropy": 2.0202359184622765,
542
+ "epoch": 1.4384000000000001,
543
+ "grad_norm": 14.875,
544
+ "learning_rate": 8.98e-06,
545
+ "loss": 1.975,
546
+ "mean_token_accuracy": 0.5622007481753826,
547
+ "num_tokens": 7438987.0,
548
+ "step": 450
549
+ },
550
+ {
551
+ "entropy": 2.0199016578495503,
552
+ "epoch": 1.4704,
553
+ "grad_norm": 14.75,
554
+ "learning_rate": 9.180000000000002e-06,
555
+ "loss": 1.9361,
556
+ "mean_token_accuracy": 0.5685023127123714,
557
+ "num_tokens": 7604024.0,
558
+ "step": 460
559
+ },
560
+ {
561
+ "entropy": 1.8527320049703122,
562
+ "epoch": 1.5024,
563
+ "grad_norm": 14.25,
564
+ "learning_rate": 9.38e-06,
565
+ "loss": 1.8364,
566
+ "mean_token_accuracy": 0.5910809015855193,
567
+ "num_tokens": 7772263.0,
568
+ "step": 470
569
+ },
570
+ {
571
+ "entropy": 1.8955925963819027,
572
+ "epoch": 1.5344,
573
+ "grad_norm": 13.0625,
574
+ "learning_rate": 9.58e-06,
575
+ "loss": 1.8493,
576
+ "mean_token_accuracy": 0.5856360148638486,
577
+ "num_tokens": 7944833.0,
578
+ "step": 480
579
+ },
580
+ {
581
+ "entropy": 1.8996771439909934,
582
+ "epoch": 1.5664,
583
+ "grad_norm": 15.125,
584
+ "learning_rate": 9.780000000000001e-06,
585
+ "loss": 1.8505,
586
+ "mean_token_accuracy": 0.5866467090323567,
587
+ "num_tokens": 8107703.0,
588
+ "step": 490
589
+ },
590
+ {
591
+ "entropy": 1.8238245747983455,
592
+ "epoch": 1.5984,
593
+ "grad_norm": 17.75,
594
+ "learning_rate": 9.980000000000001e-06,
595
+ "loss": 1.801,
596
+ "mean_token_accuracy": 0.5916696371510625,
597
+ "num_tokens": 8272928.0,
598
+ "step": 500
599
+ },
600
+ {
601
+ "epoch": 1.5984,
602
+ "eval_coding_entropy": 1.8537267336845398,
603
+ "eval_coding_loss": 2.075289011001587,
604
+ "eval_coding_mean_token_accuracy": 0.5279264715909958,
605
+ "eval_coding_num_tokens": 8272928.0,
606
+ "eval_coding_runtime": 80.953,
607
+ "eval_coding_samples_per_second": 6.176,
608
+ "eval_coding_steps_per_second": 3.088,
609
+ "step": 500
610
+ },
611
+ {
612
+ "epoch": 1.5984,
613
+ "eval_physics_entropy": 1.9223316903114318,
614
+ "eval_physics_loss": 1.9002431631088257,
615
+ "eval_physics_mean_token_accuracy": 0.5840845993757248,
616
+ "eval_physics_num_tokens": 8272928.0,
617
+ "eval_physics_runtime": 50.845,
618
+ "eval_physics_samples_per_second": 9.834,
619
+ "eval_physics_steps_per_second": 4.917,
620
+ "step": 500
621
+ },
622
+ {
623
+ "entropy": 1.8875005543231964,
624
+ "epoch": 1.6303999999999998,
625
+ "grad_norm": 13.5625,
626
+ "learning_rate": 1.018e-05,
627
+ "loss": 1.8381,
628
+ "mean_token_accuracy": 0.5840727794915438,
629
+ "num_tokens": 8436701.0,
630
+ "step": 510
631
+ },
632
+ {
633
+ "entropy": 1.9092106647789477,
634
+ "epoch": 1.6623999999999999,
635
+ "grad_norm": 16.75,
636
+ "learning_rate": 1.038e-05,
637
+ "loss": 1.8575,
638
+ "mean_token_accuracy": 0.5808946831151843,
639
+ "num_tokens": 8601859.0,
640
+ "step": 520
641
+ },
642
+ {
643
+ "entropy": 1.899788486212492,
644
+ "epoch": 1.6944,
645
+ "grad_norm": 14.5625,
646
+ "learning_rate": 1.0580000000000002e-05,
647
+ "loss": 1.8415,
648
+ "mean_token_accuracy": 0.5858881402760744,
649
+ "num_tokens": 8770215.0,
650
+ "step": 530
651
+ },
652
+ {
653
+ "entropy": 1.7706353828310966,
654
+ "epoch": 1.7264,
655
+ "grad_norm": 15.25,
656
+ "learning_rate": 1.0780000000000002e-05,
657
+ "loss": 1.7467,
658
+ "mean_token_accuracy": 0.6009473634883762,
659
+ "num_tokens": 8943490.0,
660
+ "step": 540
661
+ },
662
+ {
663
+ "entropy": 1.7995429947972297,
664
+ "epoch": 1.7584,
665
+ "grad_norm": 13.4375,
666
+ "learning_rate": 1.0980000000000002e-05,
667
+ "loss": 1.7282,
668
+ "mean_token_accuracy": 0.6000586733222008,
669
+ "num_tokens": 9105492.0,
670
+ "step": 550
671
+ },
672
+ {
673
+ "entropy": 1.7555545069277287,
674
+ "epoch": 1.7904,
675
+ "grad_norm": 13.625,
676
+ "learning_rate": 1.1180000000000001e-05,
677
+ "loss": 1.7087,
678
+ "mean_token_accuracy": 0.6047776440158487,
679
+ "num_tokens": 9279120.0,
680
+ "step": 560
681
+ },
682
+ {
683
+ "entropy": 1.7950463570654391,
684
+ "epoch": 1.8224,
685
+ "grad_norm": 14.5625,
686
+ "learning_rate": 1.138e-05,
687
+ "loss": 1.7523,
688
+ "mean_token_accuracy": 0.5999677054584026,
689
+ "num_tokens": 9449267.0,
690
+ "step": 570
691
+ },
692
+ {
693
+ "entropy": 1.7747433319687844,
694
+ "epoch": 1.8544,
695
+ "grad_norm": 22.25,
696
+ "learning_rate": 1.1580000000000001e-05,
697
+ "loss": 1.7373,
698
+ "mean_token_accuracy": 0.6037633283063769,
699
+ "num_tokens": 9617568.0,
700
+ "step": 580
701
+ },
702
+ {
703
+ "entropy": 1.772039385139942,
704
+ "epoch": 1.8864,
705
+ "grad_norm": 15.3125,
706
+ "learning_rate": 1.178e-05,
707
+ "loss": 1.735,
708
+ "mean_token_accuracy": 0.606834676489234,
709
+ "num_tokens": 9784216.0,
710
+ "step": 590
711
+ },
712
+ {
713
+ "entropy": 1.7735156528651714,
714
+ "epoch": 1.9184,
715
+ "grad_norm": 12.75,
716
+ "learning_rate": 1.198e-05,
717
+ "loss": 1.7123,
718
+ "mean_token_accuracy": 0.6076807895675301,
719
+ "num_tokens": 9943304.0,
720
+ "step": 600
721
+ },
722
+ {
723
+ "epoch": 1.9184,
724
+ "eval_coding_entropy": 1.7977273602485657,
725
+ "eval_coding_loss": 2.0856714248657227,
726
+ "eval_coding_mean_token_accuracy": 0.5285422785282134,
727
+ "eval_coding_num_tokens": 9943304.0,
728
+ "eval_coding_runtime": 79.9716,
729
+ "eval_coding_samples_per_second": 6.252,
730
+ "eval_coding_steps_per_second": 3.126,
731
+ "step": 600
732
+ },
733
+ {
734
+ "epoch": 1.9184,
735
+ "eval_physics_entropy": 1.749086142063141,
736
+ "eval_physics_loss": 1.7814992666244507,
737
+ "eval_physics_mean_token_accuracy": 0.6056386725902557,
738
+ "eval_physics_num_tokens": 9943304.0,
739
+ "eval_physics_runtime": 50.7965,
740
+ "eval_physics_samples_per_second": 9.843,
741
+ "eval_physics_steps_per_second": 4.922,
742
+ "step": 600
743
+ },
744
+ {
745
+ "entropy": 1.7359662670642138,
746
+ "epoch": 1.9504000000000001,
747
+ "grad_norm": 13.0625,
748
+ "learning_rate": 1.218e-05,
749
+ "loss": 1.7088,
750
+ "mean_token_accuracy": 0.6099759945645928,
751
+ "num_tokens": 10112076.0,
752
+ "step": 610
753
+ },
754
+ {
755
+ "entropy": 1.7528245896100998,
756
+ "epoch": 1.9824000000000002,
757
+ "grad_norm": 15.625,
758
+ "learning_rate": 1.2380000000000002e-05,
759
+ "loss": 1.7189,
760
+ "mean_token_accuracy": 0.6103452138602734,
761
+ "num_tokens": 10270035.0,
762
+ "step": 620
763
+ },
764
+ {
765
+ "entropy": 1.739827255669393,
766
+ "epoch": 2.0128,
767
+ "grad_norm": 13.9375,
768
+ "learning_rate": 1.2580000000000002e-05,
769
+ "loss": 1.6838,
770
+ "mean_token_accuracy": 0.6105770368717218,
771
+ "num_tokens": 10424317.0,
772
+ "step": 630
773
+ },
774
+ {
775
+ "entropy": 1.69152923040092,
776
+ "epoch": 2.0448,
777
+ "grad_norm": 13.125,
778
+ "learning_rate": 1.2780000000000001e-05,
779
+ "loss": 1.6453,
780
+ "mean_token_accuracy": 0.620452726073563,
781
+ "num_tokens": 10596317.0,
782
+ "step": 640
783
+ },
784
+ {
785
+ "entropy": 1.6712413053959607,
786
+ "epoch": 2.0768,
787
+ "grad_norm": 12.3125,
788
+ "learning_rate": 1.2980000000000001e-05,
789
+ "loss": 1.6189,
790
+ "mean_token_accuracy": 0.6253741530701518,
791
+ "num_tokens": 10761453.0,
792
+ "step": 650
793
+ },
794
+ {
795
+ "entropy": 1.6307136636227368,
796
+ "epoch": 2.1088,
797
+ "grad_norm": 14.75,
798
+ "learning_rate": 1.3180000000000001e-05,
799
+ "loss": 1.5991,
800
+ "mean_token_accuracy": 0.6301249139010906,
801
+ "num_tokens": 10921701.0,
802
+ "step": 660
803
+ },
804
+ {
805
+ "entropy": 1.687684478983283,
806
+ "epoch": 2.1408,
807
+ "grad_norm": 14.9375,
808
+ "learning_rate": 1.3380000000000002e-05,
809
+ "loss": 1.6328,
810
+ "mean_token_accuracy": 0.6196143303066493,
811
+ "num_tokens": 11087232.0,
812
+ "step": 670
813
+ },
814
+ {
815
+ "entropy": 1.6771961346268653,
816
+ "epoch": 2.1728,
817
+ "grad_norm": 14.125,
818
+ "learning_rate": 1.3580000000000002e-05,
819
+ "loss": 1.6292,
820
+ "mean_token_accuracy": 0.6230741955339909,
821
+ "num_tokens": 11253164.0,
822
+ "step": 680
823
+ },
824
+ {
825
+ "entropy": 1.611368629708886,
826
+ "epoch": 2.2048,
827
+ "grad_norm": 14.0,
828
+ "learning_rate": 1.378e-05,
829
+ "loss": 1.5649,
830
+ "mean_token_accuracy": 0.6339864458888769,
831
+ "num_tokens": 11421725.0,
832
+ "step": 690
833
+ },
834
+ {
835
+ "entropy": 1.6195241075009108,
836
+ "epoch": 2.2368,
837
+ "grad_norm": 16.5,
838
+ "learning_rate": 1.398e-05,
839
+ "loss": 1.5982,
840
+ "mean_token_accuracy": 0.6278265208005905,
841
+ "num_tokens": 11585449.0,
842
+ "step": 700
843
+ },
844
+ {
845
+ "epoch": 2.2368,
846
+ "eval_coding_entropy": 1.7780175647735597,
847
+ "eval_coding_loss": 2.0996527671813965,
848
+ "eval_coding_mean_token_accuracy": 0.5274338216781617,
849
+ "eval_coding_num_tokens": 11585449.0,
850
+ "eval_coding_runtime": 80.0225,
851
+ "eval_coding_samples_per_second": 6.248,
852
+ "eval_coding_steps_per_second": 3.124,
853
+ "step": 700
854
+ },
855
+ {
856
+ "epoch": 2.2368,
857
+ "eval_physics_entropy": 1.6218082146644592,
858
+ "eval_physics_loss": 1.692482352256775,
859
+ "eval_physics_mean_token_accuracy": 0.620885151386261,
860
+ "eval_physics_num_tokens": 11585449.0,
861
+ "eval_physics_runtime": 50.8225,
862
+ "eval_physics_samples_per_second": 9.838,
863
+ "eval_physics_steps_per_second": 4.919,
864
+ "step": 700
865
+ },
866
+ {
867
+ "entropy": 1.6410126857459546,
868
+ "epoch": 2.2688,
869
+ "grad_norm": 12.4375,
870
+ "learning_rate": 1.418e-05,
871
+ "loss": 1.6146,
872
+ "mean_token_accuracy": 0.6292374039068818,
873
+ "num_tokens": 11754276.0,
874
+ "step": 710
875
+ },
876
+ {
877
+ "entropy": 1.6849966041743756,
878
+ "epoch": 2.3008,
879
+ "grad_norm": 19.125,
880
+ "learning_rate": 1.4380000000000001e-05,
881
+ "loss": 1.6219,
882
+ "mean_token_accuracy": 0.6232586612924933,
883
+ "num_tokens": 11914373.0,
884
+ "step": 720
885
+ },
886
+ {
887
+ "entropy": 1.6184583768248557,
888
+ "epoch": 2.3327999999999998,
889
+ "grad_norm": 15.1875,
890
+ "learning_rate": 1.4580000000000001e-05,
891
+ "loss": 1.5756,
892
+ "mean_token_accuracy": 0.6329402431845665,
893
+ "num_tokens": 12075851.0,
894
+ "step": 730
895
+ },
896
+ {
897
+ "entropy": 1.5511272184550762,
898
+ "epoch": 2.3648,
899
+ "grad_norm": 16.25,
900
+ "learning_rate": 1.478e-05,
901
+ "loss": 1.505,
902
+ "mean_token_accuracy": 0.6405650788918138,
903
+ "num_tokens": 12243196.0,
904
+ "step": 740
905
+ },
906
+ {
907
+ "entropy": 1.6357920836657285,
908
+ "epoch": 2.3968,
909
+ "grad_norm": 14.9375,
910
+ "learning_rate": 1.498e-05,
911
+ "loss": 1.5965,
912
+ "mean_token_accuracy": 0.6316607503220439,
913
+ "num_tokens": 12408334.0,
914
+ "step": 750
915
+ },
916
+ {
917
+ "entropy": 1.5845110703259706,
918
+ "epoch": 2.4288,
919
+ "grad_norm": 17.0,
920
+ "learning_rate": 1.5180000000000002e-05,
921
+ "loss": 1.5585,
922
+ "mean_token_accuracy": 0.6371361108496785,
923
+ "num_tokens": 12577925.0,
924
+ "step": 760
925
+ },
926
+ {
927
+ "entropy": 1.583767046034336,
928
+ "epoch": 2.4608,
929
+ "grad_norm": 11.5,
930
+ "learning_rate": 1.5380000000000002e-05,
931
+ "loss": 1.5441,
932
+ "mean_token_accuracy": 0.6363885937258601,
933
+ "num_tokens": 12747689.0,
934
+ "step": 770
935
+ },
936
+ {
937
+ "entropy": 1.6484511096030474,
938
+ "epoch": 2.4928,
939
+ "grad_norm": 13.25,
940
+ "learning_rate": 1.5580000000000003e-05,
941
+ "loss": 1.622,
942
+ "mean_token_accuracy": 0.627226597070694,
943
+ "num_tokens": 12911304.0,
944
+ "step": 780
945
+ },
946
+ {
947
+ "entropy": 1.573851015418768,
948
+ "epoch": 2.5248,
949
+ "grad_norm": 13.875,
950
+ "learning_rate": 1.578e-05,
951
+ "loss": 1.5318,
952
+ "mean_token_accuracy": 0.6389297921210527,
953
+ "num_tokens": 13077988.0,
954
+ "step": 790
955
+ },
956
+ {
957
+ "entropy": 1.5163878366351127,
958
+ "epoch": 2.5568,
959
+ "grad_norm": 16.0,
960
+ "learning_rate": 1.5980000000000003e-05,
961
+ "loss": 1.4691,
962
+ "mean_token_accuracy": 0.6486704317852855,
963
+ "num_tokens": 13251116.0,
964
+ "step": 800
965
+ },
966
+ {
967
+ "epoch": 2.5568,
968
+ "eval_coding_entropy": 1.8060252170562745,
969
+ "eval_coding_loss": 2.092843532562256,
970
+ "eval_coding_mean_token_accuracy": 0.5285344138145447,
971
+ "eval_coding_num_tokens": 13251116.0,
972
+ "eval_coding_runtime": 80.4848,
973
+ "eval_coding_samples_per_second": 6.212,
974
+ "eval_coding_steps_per_second": 3.106,
975
+ "step": 800
976
+ },
977
+ {
978
+ "epoch": 2.5568,
979
+ "eval_physics_entropy": 1.5968217768669128,
980
+ "eval_physics_loss": 1.6208738088607788,
981
+ "eval_physics_mean_token_accuracy": 0.6335020518302917,
982
+ "eval_physics_num_tokens": 13251116.0,
983
+ "eval_physics_runtime": 50.8683,
984
+ "eval_physics_samples_per_second": 9.829,
985
+ "eval_physics_steps_per_second": 4.915,
986
+ "step": 800
987
+ },
988
+ {
989
+ "entropy": 1.5594662837684155,
990
+ "epoch": 2.5888,
991
+ "grad_norm": 13.75,
992
+ "learning_rate": 1.618e-05,
993
+ "loss": 1.5023,
994
+ "mean_token_accuracy": 0.6443197656422853,
995
+ "num_tokens": 13415037.0,
996
+ "step": 810
997
+ },
998
+ {
999
+ "entropy": 1.5624911203980445,
1000
+ "epoch": 2.6208,
1001
+ "grad_norm": 15.1875,
1002
+ "learning_rate": 1.638e-05,
1003
+ "loss": 1.5367,
1004
+ "mean_token_accuracy": 0.6421451514586807,
1005
+ "num_tokens": 13579275.0,
1006
+ "step": 820
1007
+ },
1008
+ {
1009
+ "entropy": 1.5679792653769256,
1010
+ "epoch": 2.6528,
1011
+ "grad_norm": 15.125,
1012
+ "learning_rate": 1.658e-05,
1013
+ "loss": 1.5404,
1014
+ "mean_token_accuracy": 0.6395369984209538,
1015
+ "num_tokens": 13743818.0,
1016
+ "step": 830
1017
+ },
1018
+ {
1019
+ "entropy": 1.542407462745905,
1020
+ "epoch": 2.6848,
1021
+ "grad_norm": 13.1875,
1022
+ "learning_rate": 1.6780000000000002e-05,
1023
+ "loss": 1.4875,
1024
+ "mean_token_accuracy": 0.6461015127599239,
1025
+ "num_tokens": 13906946.0,
1026
+ "step": 840
1027
+ },
1028
+ {
1029
+ "entropy": 1.6198145560920238,
1030
+ "epoch": 2.7168,
1031
+ "grad_norm": 14.5,
1032
+ "learning_rate": 1.698e-05,
1033
+ "loss": 1.567,
1034
+ "mean_token_accuracy": 0.6362641137093306,
1035
+ "num_tokens": 14075222.0,
1036
+ "step": 850
1037
+ },
1038
+ {
1039
+ "entropy": 1.554464604333043,
1040
+ "epoch": 2.7488,
1041
+ "grad_norm": 12.625,
1042
+ "learning_rate": 1.718e-05,
1043
+ "loss": 1.5116,
1044
+ "mean_token_accuracy": 0.6433709865435958,
1045
+ "num_tokens": 14239601.0,
1046
+ "step": 860
1047
+ },
1048
+ {
1049
+ "entropy": 1.5441818628460169,
1050
+ "epoch": 2.7808,
1051
+ "grad_norm": 12.5,
1052
+ "learning_rate": 1.7380000000000003e-05,
1053
+ "loss": 1.5182,
1054
+ "mean_token_accuracy": 0.6423825263977051,
1055
+ "num_tokens": 14408376.0,
1056
+ "step": 870
1057
+ },
1058
+ {
1059
+ "entropy": 1.5283652659505607,
1060
+ "epoch": 2.8128,
1061
+ "grad_norm": 13.5625,
1062
+ "learning_rate": 1.758e-05,
1063
+ "loss": 1.478,
1064
+ "mean_token_accuracy": 0.6480804061517119,
1065
+ "num_tokens": 14564818.0,
1066
+ "step": 880
1067
+ },
1068
+ {
1069
+ "entropy": 1.5146011773496866,
1070
+ "epoch": 2.8448,
1071
+ "grad_norm": 13.75,
1072
+ "learning_rate": 1.7780000000000003e-05,
1073
+ "loss": 1.4608,
1074
+ "mean_token_accuracy": 0.6502496190369129,
1075
+ "num_tokens": 14732642.0,
1076
+ "step": 890
1077
+ },
1078
+ {
1079
+ "entropy": 1.5364020358771087,
1080
+ "epoch": 2.8768000000000002,
1081
+ "grad_norm": 15.6875,
1082
+ "learning_rate": 1.798e-05,
1083
+ "loss": 1.509,
1084
+ "mean_token_accuracy": 0.6441155642271041,
1085
+ "num_tokens": 14906192.0,
1086
+ "step": 900
1087
+ },
1088
+ {
1089
+ "epoch": 2.8768000000000002,
1090
+ "eval_coding_entropy": 1.8139167137145995,
1091
+ "eval_coding_loss": 2.1154234409332275,
1092
+ "eval_coding_mean_token_accuracy": 0.524706524848938,
1093
+ "eval_coding_num_tokens": 14906192.0,
1094
+ "eval_coding_runtime": 80.7869,
1095
+ "eval_coding_samples_per_second": 6.189,
1096
+ "eval_coding_steps_per_second": 3.095,
1097
+ "step": 900
1098
+ },
1099
+ {
1100
+ "epoch": 2.8768000000000002,
1101
+ "eval_physics_entropy": 1.5320607974529266,
1102
+ "eval_physics_loss": 1.5520291328430176,
1103
+ "eval_physics_mean_token_accuracy": 0.6448649351596832,
1104
+ "eval_physics_num_tokens": 14906192.0,
1105
+ "eval_physics_runtime": 51.5462,
1106
+ "eval_physics_samples_per_second": 9.7,
1107
+ "eval_physics_steps_per_second": 4.85,
1108
+ "step": 900
1109
+ },
1110
+ {
1111
+ "entropy": 1.5022410597652196,
1112
+ "epoch": 2.9088000000000003,
1113
+ "grad_norm": 14.4375,
1114
+ "learning_rate": 1.8180000000000002e-05,
1115
+ "loss": 1.4513,
1116
+ "mean_token_accuracy": 0.6529894033446908,
1117
+ "num_tokens": 15070320.0,
1118
+ "step": 910
1119
+ },
1120
+ {
1121
+ "entropy": 1.5046488154679536,
1122
+ "epoch": 2.9408,
1123
+ "grad_norm": 20.125,
1124
+ "learning_rate": 1.8380000000000004e-05,
1125
+ "loss": 1.4568,
1126
+ "mean_token_accuracy": 0.6527702607214451,
1127
+ "num_tokens": 15231317.0,
1128
+ "step": 920
1129
+ },
1130
+ {
1131
+ "entropy": 1.5122195985168219,
1132
+ "epoch": 2.9728,
1133
+ "grad_norm": 12.5,
1134
+ "learning_rate": 1.858e-05,
1135
+ "loss": 1.4689,
1136
+ "mean_token_accuracy": 0.6519427731633186,
1137
+ "num_tokens": 15396833.0,
1138
+ "step": 930
1139
+ },
1140
+ {
1141
+ "entropy": 1.50565195005191,
1142
+ "epoch": 3.0032,
1143
+ "grad_norm": 13.8125,
1144
+ "learning_rate": 1.878e-05,
1145
+ "loss": 1.4562,
1146
+ "mean_token_accuracy": 0.6564571412378236,
1147
+ "num_tokens": 15557192.0,
1148
+ "step": 940
1149
+ },
1150
+ {
1151
+ "entropy": 1.4080224443227052,
1152
+ "epoch": 3.0352,
1153
+ "grad_norm": 12.1875,
1154
+ "learning_rate": 1.898e-05,
1155
+ "loss": 1.3597,
1156
+ "mean_token_accuracy": 0.6701016353443265,
1157
+ "num_tokens": 15722813.0,
1158
+ "step": 950
1159
+ },
1160
+ {
1161
+ "entropy": 1.4149111464619637,
1162
+ "epoch": 3.0672,
1163
+ "grad_norm": 13.375,
1164
+ "learning_rate": 1.918e-05,
1165
+ "loss": 1.365,
1166
+ "mean_token_accuracy": 0.6669646181166172,
1167
+ "num_tokens": 15886622.0,
1168
+ "step": 960
1169
+ },
1170
+ {
1171
+ "entropy": 1.4306254398077727,
1172
+ "epoch": 3.0992,
1173
+ "grad_norm": 11.125,
1174
+ "learning_rate": 1.938e-05,
1175
+ "loss": 1.3718,
1176
+ "mean_token_accuracy": 0.6666815469041467,
1177
+ "num_tokens": 16049773.0,
1178
+ "step": 970
1179
+ },
1180
+ {
1181
+ "entropy": 1.3589156921952963,
1182
+ "epoch": 3.1312,
1183
+ "grad_norm": 12.125,
1184
+ "learning_rate": 1.9580000000000002e-05,
1185
+ "loss": 1.3193,
1186
+ "mean_token_accuracy": 0.6735636530444026,
1187
+ "num_tokens": 16216938.0,
1188
+ "step": 980
1189
+ },
1190
+ {
1191
+ "entropy": 1.4204085629433394,
1192
+ "epoch": 3.1632,
1193
+ "grad_norm": 11.625,
1194
+ "learning_rate": 1.978e-05,
1195
+ "loss": 1.3887,
1196
+ "mean_token_accuracy": 0.6646887071430683,
1197
+ "num_tokens": 16384680.0,
1198
+ "step": 990
1199
+ },
1200
+ {
1201
+ "entropy": 1.4016960449516773,
1202
+ "epoch": 3.1952,
1203
+ "grad_norm": 11.8125,
1204
+ "learning_rate": 1.9980000000000002e-05,
1205
+ "loss": 1.355,
1206
+ "mean_token_accuracy": 0.6743173876777291,
1207
+ "num_tokens": 16560897.0,
1208
+ "step": 1000
1209
+ },
1210
+ {
1211
+ "epoch": 3.1952,
1212
+ "eval_coding_entropy": 1.724121112346649,
1213
+ "eval_coding_loss": 2.1316378116607666,
1214
+ "eval_coding_mean_token_accuracy": 0.5262920687198639,
1215
+ "eval_coding_num_tokens": 16560897.0,
1216
+ "eval_coding_runtime": 81.4781,
1217
+ "eval_coding_samples_per_second": 6.137,
1218
+ "eval_coding_steps_per_second": 3.068,
1219
+ "step": 1000
1220
+ },
1221
+ {
1222
+ "epoch": 3.1952,
1223
+ "eval_physics_entropy": 1.4079510734081269,
1224
+ "eval_physics_loss": 1.4921677112579346,
1225
+ "eval_physics_mean_token_accuracy": 0.6572906188964843,
1226
+ "eval_physics_num_tokens": 16560897.0,
1227
+ "eval_physics_runtime": 51.7808,
1228
+ "eval_physics_samples_per_second": 9.656,
1229
+ "eval_physics_steps_per_second": 4.828,
1230
+ "step": 1000
1231
+ },
1232
+ {
1233
+ "entropy": 1.3990164022892713,
1234
+ "epoch": 3.2272,
1235
+ "grad_norm": 11.9375,
1236
+ "learning_rate": 1.9980000000000002e-05,
1237
+ "loss": 1.3688,
1238
+ "mean_token_accuracy": 0.6717343915253877,
1239
+ "num_tokens": 16723316.0,
1240
+ "step": 1010
1241
+ },
1242
+ {
1243
+ "entropy": 1.4174137562513351,
1244
+ "epoch": 3.2592,
1245
+ "grad_norm": 12.8125,
1246
+ "learning_rate": 1.995777777777778e-05,
1247
+ "loss": 1.3817,
1248
+ "mean_token_accuracy": 0.6680277943611145,
1249
+ "num_tokens": 16889599.0,
1250
+ "step": 1020
1251
+ },
1252
+ {
1253
+ "entropy": 1.3461125120520592,
1254
+ "epoch": 3.2912,
1255
+ "grad_norm": 15.0625,
1256
+ "learning_rate": 1.9935555555555557e-05,
1257
+ "loss": 1.2978,
1258
+ "mean_token_accuracy": 0.6807450173422694,
1259
+ "num_tokens": 17062342.0,
1260
+ "step": 1030
1261
+ },
1262
+ {
1263
+ "entropy": 1.3572522435337304,
1264
+ "epoch": 3.3232,
1265
+ "grad_norm": 11.4375,
1266
+ "learning_rate": 1.9913333333333335e-05,
1267
+ "loss": 1.3296,
1268
+ "mean_token_accuracy": 0.6781903292983771,
1269
+ "num_tokens": 17230975.0,
1270
+ "step": 1040
1271
+ },
1272
+ {
1273
+ "entropy": 1.3926319386810064,
1274
+ "epoch": 3.3552,
1275
+ "grad_norm": 9.625,
1276
+ "learning_rate": 1.9891111111111112e-05,
1277
+ "loss": 1.3577,
1278
+ "mean_token_accuracy": 0.6729108918458223,
1279
+ "num_tokens": 17402449.0,
1280
+ "step": 1050
1281
+ },
1282
+ {
1283
+ "entropy": 1.3759503204375505,
1284
+ "epoch": 3.3872,
1285
+ "grad_norm": 11.75,
1286
+ "learning_rate": 1.986888888888889e-05,
1287
+ "loss": 1.3378,
1288
+ "mean_token_accuracy": 0.6787287183105946,
1289
+ "num_tokens": 17574961.0,
1290
+ "step": 1060
1291
+ },
1292
+ {
1293
+ "entropy": 1.3743376955389977,
1294
+ "epoch": 3.4192,
1295
+ "grad_norm": 11.8125,
1296
+ "learning_rate": 1.9846666666666668e-05,
1297
+ "loss": 1.3399,
1298
+ "mean_token_accuracy": 0.6763688886538148,
1299
+ "num_tokens": 17741134.0,
1300
+ "step": 1070
1301
+ },
1302
+ {
1303
+ "entropy": 1.370089204236865,
1304
+ "epoch": 3.4512,
1305
+ "grad_norm": 10.875,
1306
+ "learning_rate": 1.9824444444444445e-05,
1307
+ "loss": 1.3174,
1308
+ "mean_token_accuracy": 0.6793139725923538,
1309
+ "num_tokens": 17902781.0,
1310
+ "step": 1080
1311
+ },
1312
+ {
1313
+ "entropy": 1.3659917820245027,
1314
+ "epoch": 3.4832,
1315
+ "grad_norm": 14.125,
1316
+ "learning_rate": 1.9802222222222226e-05,
1317
+ "loss": 1.3486,
1318
+ "mean_token_accuracy": 0.6747965268790722,
1319
+ "num_tokens": 18067791.0,
1320
+ "step": 1090
1321
+ },
1322
+ {
1323
+ "entropy": 1.3515218559652566,
1324
+ "epoch": 3.5152,
1325
+ "grad_norm": 12.5,
1326
+ "learning_rate": 1.978e-05,
1327
+ "loss": 1.3149,
1328
+ "mean_token_accuracy": 0.6794558309018612,
1329
+ "num_tokens": 18235991.0,
1330
+ "step": 1100
1331
+ },
1332
+ {
1333
+ "epoch": 3.5152,
1334
+ "eval_coding_entropy": 1.7129438319206238,
1335
+ "eval_coding_loss": 2.139785051345825,
1336
+ "eval_coding_mean_token_accuracy": 0.524884427189827,
1337
+ "eval_coding_num_tokens": 18235991.0,
1338
+ "eval_coding_runtime": 80.5175,
1339
+ "eval_coding_samples_per_second": 6.21,
1340
+ "eval_coding_steps_per_second": 3.105,
1341
+ "step": 1100
1342
+ },
1343
+ {
1344
+ "epoch": 3.5152,
1345
+ "eval_physics_entropy": 1.3459106123447417,
1346
+ "eval_physics_loss": 1.4353532791137695,
1347
+ "eval_physics_mean_token_accuracy": 0.6661230815649033,
1348
+ "eval_physics_num_tokens": 18235991.0,
1349
+ "eval_physics_runtime": 51.4982,
1350
+ "eval_physics_samples_per_second": 9.709,
1351
+ "eval_physics_steps_per_second": 4.855,
1352
+ "step": 1100
1353
+ },
1354
+ {
1355
+ "entropy": 1.368555410206318,
1356
+ "epoch": 3.5472,
1357
+ "grad_norm": 12.6875,
1358
+ "learning_rate": 1.975777777777778e-05,
1359
+ "loss": 1.3236,
1360
+ "mean_token_accuracy": 0.6762216202914715,
1361
+ "num_tokens": 18401729.0,
1362
+ "step": 1110
1363
+ },
1364
+ {
1365
+ "entropy": 1.4057014767080545,
1366
+ "epoch": 3.5792,
1367
+ "grad_norm": 12.4375,
1368
+ "learning_rate": 1.9735555555555556e-05,
1369
+ "loss": 1.3441,
1370
+ "mean_token_accuracy": 0.6745940167456865,
1371
+ "num_tokens": 18561781.0,
1372
+ "step": 1120
1373
+ },
1374
+ {
1375
+ "entropy": 1.360729866847396,
1376
+ "epoch": 3.6112,
1377
+ "grad_norm": 10.5625,
1378
+ "learning_rate": 1.9713333333333337e-05,
1379
+ "loss": 1.3128,
1380
+ "mean_token_accuracy": 0.6782749250531197,
1381
+ "num_tokens": 18729784.0,
1382
+ "step": 1130
1383
+ },
1384
+ {
1385
+ "entropy": 1.3228930503129959,
1386
+ "epoch": 3.6432,
1387
+ "grad_norm": 11.0,
1388
+ "learning_rate": 1.969111111111111e-05,
1389
+ "loss": 1.2845,
1390
+ "mean_token_accuracy": 0.6857476118952036,
1391
+ "num_tokens": 18889241.0,
1392
+ "step": 1140
1393
+ },
1394
+ {
1395
+ "entropy": 1.3327897161245346,
1396
+ "epoch": 3.6752000000000002,
1397
+ "grad_norm": 10.1875,
1398
+ "learning_rate": 1.9668888888888892e-05,
1399
+ "loss": 1.2935,
1400
+ "mean_token_accuracy": 0.6824455298483372,
1401
+ "num_tokens": 19048271.0,
1402
+ "step": 1150
1403
+ },
1404
+ {
1405
+ "entropy": 1.333436906337738,
1406
+ "epoch": 3.7072000000000003,
1407
+ "grad_norm": 12.0625,
1408
+ "learning_rate": 1.9646666666666666e-05,
1409
+ "loss": 1.3031,
1410
+ "mean_token_accuracy": 0.6833435738459229,
1411
+ "num_tokens": 19217080.0,
1412
+ "step": 1160
1413
+ },
1414
+ {
1415
+ "entropy": 1.3309089098125697,
1416
+ "epoch": 3.7392,
1417
+ "grad_norm": 11.75,
1418
+ "learning_rate": 1.9624444444444447e-05,
1419
+ "loss": 1.2941,
1420
+ "mean_token_accuracy": 0.684115232154727,
1421
+ "num_tokens": 19374677.0,
1422
+ "step": 1170
1423
+ },
1424
+ {
1425
+ "entropy": 1.338182634487748,
1426
+ "epoch": 3.7712,
1427
+ "grad_norm": 10.8125,
1428
+ "learning_rate": 1.9602222222222225e-05,
1429
+ "loss": 1.3056,
1430
+ "mean_token_accuracy": 0.6812731333076953,
1431
+ "num_tokens": 19533723.0,
1432
+ "step": 1180
1433
+ },
1434
+ {
1435
+ "entropy": 1.296186040714383,
1436
+ "epoch": 3.8032,
1437
+ "grad_norm": 11.125,
1438
+ "learning_rate": 1.9580000000000002e-05,
1439
+ "loss": 1.2591,
1440
+ "mean_token_accuracy": 0.6897632556036115,
1441
+ "num_tokens": 19700672.0,
1442
+ "step": 1190
1443
+ },
1444
+ {
1445
+ "entropy": 1.3169755220413208,
1446
+ "epoch": 3.8352,
1447
+ "grad_norm": 12.125,
1448
+ "learning_rate": 1.955777777777778e-05,
1449
+ "loss": 1.2666,
1450
+ "mean_token_accuracy": 0.6897730944678188,
1451
+ "num_tokens": 19871261.0,
1452
+ "step": 1200
1453
+ },
1454
+ {
1455
+ "epoch": 3.8352,
1456
+ "eval_coding_entropy": 1.744208794593811,
1457
+ "eval_coding_loss": 2.159120559692383,
1458
+ "eval_coding_mean_token_accuracy": 0.5213203144073486,
1459
+ "eval_coding_num_tokens": 19871261.0,
1460
+ "eval_coding_runtime": 80.7654,
1461
+ "eval_coding_samples_per_second": 6.191,
1462
+ "eval_coding_steps_per_second": 3.095,
1463
+ "step": 1200
1464
+ },
1465
+ {
1466
+ "epoch": 3.8352,
1467
+ "eval_physics_entropy": 1.3578989911079407,
1468
+ "eval_physics_loss": 1.3836426734924316,
1469
+ "eval_physics_mean_token_accuracy": 0.6761476092338562,
1470
+ "eval_physics_num_tokens": 19871261.0,
1471
+ "eval_physics_runtime": 51.5431,
1472
+ "eval_physics_samples_per_second": 9.701,
1473
+ "eval_physics_steps_per_second": 4.85,
1474
+ "step": 1200
1475
+ },
1476
+ {
1477
+ "entropy": 1.2740023802965879,
1478
+ "epoch": 3.8672,
1479
+ "grad_norm": 9.4375,
1480
+ "learning_rate": 1.9535555555555557e-05,
1481
+ "loss": 1.2429,
1482
+ "mean_token_accuracy": 0.6932176874950529,
1483
+ "num_tokens": 20036482.0,
1484
+ "step": 1210
1485
+ },
1486
+ {
1487
+ "entropy": 1.3576739229261876,
1488
+ "epoch": 3.8992,
1489
+ "grad_norm": 10.125,
1490
+ "learning_rate": 1.9513333333333335e-05,
1491
+ "loss": 1.2989,
1492
+ "mean_token_accuracy": 0.6787684431299568,
1493
+ "num_tokens": 20200878.0,
1494
+ "step": 1220
1495
+ },
1496
+ {
1497
+ "entropy": 1.3019543394446373,
1498
+ "epoch": 3.9312,
1499
+ "grad_norm": 10.4375,
1500
+ "learning_rate": 1.9491111111111113e-05,
1501
+ "loss": 1.252,
1502
+ "mean_token_accuracy": 0.6888652168214321,
1503
+ "num_tokens": 20369285.0,
1504
+ "step": 1230
1505
+ },
1506
+ {
1507
+ "entropy": 1.2588012181222439,
1508
+ "epoch": 3.9632,
1509
+ "grad_norm": 10.0625,
1510
+ "learning_rate": 1.946888888888889e-05,
1511
+ "loss": 1.2125,
1512
+ "mean_token_accuracy": 0.6965269058942795,
1513
+ "num_tokens": 20532097.0,
1514
+ "step": 1240
1515
+ },
1516
+ {
1517
+ "entropy": 1.3045038145035506,
1518
+ "epoch": 3.9952,
1519
+ "grad_norm": 10.625,
1520
+ "learning_rate": 1.9446666666666668e-05,
1521
+ "loss": 1.2601,
1522
+ "mean_token_accuracy": 0.6899313658475876,
1523
+ "num_tokens": 20698863.0,
1524
+ "step": 1250
1525
+ },
1526
+ {
1527
+ "entropy": 1.2075176940936792,
1528
+ "epoch": 4.0256,
1529
+ "grad_norm": 9.25,
1530
+ "learning_rate": 1.9424444444444446e-05,
1531
+ "loss": 1.1716,
1532
+ "mean_token_accuracy": 0.7094790370840776,
1533
+ "num_tokens": 20857766.0,
1534
+ "step": 1260
1535
+ },
1536
+ {
1537
+ "entropy": 1.1558428648859262,
1538
+ "epoch": 4.0576,
1539
+ "grad_norm": 9.625,
1540
+ "learning_rate": 1.9402222222222223e-05,
1541
+ "loss": 1.1242,
1542
+ "mean_token_accuracy": 0.7157231424003839,
1543
+ "num_tokens": 21026679.0,
1544
+ "step": 1270
1545
+ },
1546
+ {
1547
+ "entropy": 1.1972203195095061,
1548
+ "epoch": 4.0896,
1549
+ "grad_norm": 9.4375,
1550
+ "learning_rate": 1.938e-05,
1551
+ "loss": 1.1517,
1552
+ "mean_token_accuracy": 0.7088419755920767,
1553
+ "num_tokens": 21186241.0,
1554
+ "step": 1280
1555
+ },
1556
+ {
1557
+ "entropy": 1.1963561417534947,
1558
+ "epoch": 4.1216,
1559
+ "grad_norm": 8.9375,
1560
+ "learning_rate": 1.935777777777778e-05,
1561
+ "loss": 1.1457,
1562
+ "mean_token_accuracy": 0.713546970486641,
1563
+ "num_tokens": 21350399.0,
1564
+ "step": 1290
1565
+ },
1566
+ {
1567
+ "entropy": 1.1925376821309328,
1568
+ "epoch": 4.1536,
1569
+ "grad_norm": 10.1875,
1570
+ "learning_rate": 1.9335555555555556e-05,
1571
+ "loss": 1.1521,
1572
+ "mean_token_accuracy": 0.7091899808496237,
1573
+ "num_tokens": 21518243.0,
1574
+ "step": 1300
1575
+ },
1576
+ {
1577
+ "epoch": 4.1536,
1578
+ "eval_coding_entropy": 1.5767053871154786,
1579
+ "eval_coding_loss": 2.2092390060424805,
1580
+ "eval_coding_mean_token_accuracy": 0.5204463745355606,
1581
+ "eval_coding_num_tokens": 21518243.0,
1582
+ "eval_coding_runtime": 80.6751,
1583
+ "eval_coding_samples_per_second": 6.198,
1584
+ "eval_coding_steps_per_second": 3.099,
1585
+ "step": 1300
1586
+ },
1587
+ {
1588
+ "epoch": 4.1536,
1589
+ "eval_physics_entropy": 1.151607351064682,
1590
+ "eval_physics_loss": 1.356305718421936,
1591
+ "eval_physics_mean_token_accuracy": 0.6846682960987092,
1592
+ "eval_physics_num_tokens": 21518243.0,
1593
+ "eval_physics_runtime": 52.0383,
1594
+ "eval_physics_samples_per_second": 9.608,
1595
+ "eval_physics_steps_per_second": 4.804,
1596
+ "step": 1300
1597
+ },
1598
+ {
1599
+ "entropy": 1.1801189385354518,
1600
+ "epoch": 4.1856,
1601
+ "grad_norm": 9.6875,
1602
+ "learning_rate": 1.9313333333333334e-05,
1603
+ "loss": 1.1425,
1604
+ "mean_token_accuracy": 0.7108678799122572,
1605
+ "num_tokens": 21677750.0,
1606
+ "step": 1310
1607
+ },
1608
+ {
1609
+ "entropy": 1.1682889927178621,
1610
+ "epoch": 4.2176,
1611
+ "grad_norm": 9.3125,
1612
+ "learning_rate": 1.9291111111111115e-05,
1613
+ "loss": 1.1079,
1614
+ "mean_token_accuracy": 0.7138631340116263,
1615
+ "num_tokens": 21845173.0,
1616
+ "step": 1320
1617
+ },
1618
+ {
1619
+ "entropy": 1.157709751278162,
1620
+ "epoch": 4.2496,
1621
+ "grad_norm": 9.625,
1622
+ "learning_rate": 1.926888888888889e-05,
1623
+ "loss": 1.1024,
1624
+ "mean_token_accuracy": 0.7179881976917386,
1625
+ "num_tokens": 22009137.0,
1626
+ "step": 1330
1627
+ },
1628
+ {
1629
+ "entropy": 1.2081427805125713,
1630
+ "epoch": 4.2816,
1631
+ "grad_norm": 11.5,
1632
+ "learning_rate": 1.924666666666667e-05,
1633
+ "loss": 1.1743,
1634
+ "mean_token_accuracy": 0.7052507167682052,
1635
+ "num_tokens": 22175046.0,
1636
+ "step": 1340
1637
+ },
1638
+ {
1639
+ "entropy": 1.2216685824096203,
1640
+ "epoch": 4.3136,
1641
+ "grad_norm": 8.875,
1642
+ "learning_rate": 1.9224444444444444e-05,
1643
+ "loss": 1.1592,
1644
+ "mean_token_accuracy": 0.7062308833003044,
1645
+ "num_tokens": 22341391.0,
1646
+ "step": 1350
1647
+ },
1648
+ {
1649
+ "entropy": 1.1411818325519563,
1650
+ "epoch": 4.3456,
1651
+ "grad_norm": 9.4375,
1652
+ "learning_rate": 1.9202222222222225e-05,
1653
+ "loss": 1.0984,
1654
+ "mean_token_accuracy": 0.7186709493398666,
1655
+ "num_tokens": 22507465.0,
1656
+ "step": 1360
1657
+ },
1658
+ {
1659
+ "entropy": 1.1621076967567205,
1660
+ "epoch": 4.3776,
1661
+ "grad_norm": 8.9375,
1662
+ "learning_rate": 1.918e-05,
1663
+ "loss": 1.1423,
1664
+ "mean_token_accuracy": 0.7130050586536527,
1665
+ "num_tokens": 22672707.0,
1666
+ "step": 1370
1667
+ },
1668
+ {
1669
+ "entropy": 1.1641780041158198,
1670
+ "epoch": 4.4096,
1671
+ "grad_norm": 9.375,
1672
+ "learning_rate": 1.915777777777778e-05,
1673
+ "loss": 1.1355,
1674
+ "mean_token_accuracy": 0.713141619041562,
1675
+ "num_tokens": 22838278.0,
1676
+ "step": 1380
1677
+ },
1678
+ {
1679
+ "entropy": 1.1436150528490543,
1680
+ "epoch": 4.4416,
1681
+ "grad_norm": 8.6875,
1682
+ "learning_rate": 1.9135555555555555e-05,
1683
+ "loss": 1.1021,
1684
+ "mean_token_accuracy": 0.7170177362859249,
1685
+ "num_tokens": 23006714.0,
1686
+ "step": 1390
1687
+ },
1688
+ {
1689
+ "entropy": 1.131415880098939,
1690
+ "epoch": 4.4736,
1691
+ "grad_norm": 9.375,
1692
+ "learning_rate": 1.9113333333333336e-05,
1693
+ "loss": 1.0921,
1694
+ "mean_token_accuracy": 0.7199389934539795,
1695
+ "num_tokens": 23171616.0,
1696
+ "step": 1400
1697
+ },
1698
+ {
1699
+ "epoch": 4.4736,
1700
+ "eval_coding_entropy": 1.6192174096107483,
1701
+ "eval_coding_loss": 2.2012040615081787,
1702
+ "eval_coding_mean_token_accuracy": 0.5209840197563171,
1703
+ "eval_coding_num_tokens": 23171616.0,
1704
+ "eval_coding_runtime": 81.8936,
1705
+ "eval_coding_samples_per_second": 6.105,
1706
+ "eval_coding_steps_per_second": 3.053,
1707
+ "step": 1400
1708
+ },
1709
+ {
1710
+ "epoch": 4.4736,
1711
+ "eval_physics_entropy": 1.2294665141105652,
1712
+ "eval_physics_loss": 1.3109028339385986,
1713
+ "eval_physics_mean_token_accuracy": 0.6908313782215119,
1714
+ "eval_physics_num_tokens": 23171616.0,
1715
+ "eval_physics_runtime": 52.4694,
1716
+ "eval_physics_samples_per_second": 9.529,
1717
+ "eval_physics_steps_per_second": 4.765,
1718
+ "step": 1400
1719
+ },
1720
+ {
1721
+ "entropy": 1.1691782031208278,
1722
+ "epoch": 4.5056,
1723
+ "grad_norm": 9.6875,
1724
+ "learning_rate": 1.9091111111111113e-05,
1725
+ "loss": 1.1276,
1726
+ "mean_token_accuracy": 0.7141140529885888,
1727
+ "num_tokens": 23339342.0,
1728
+ "step": 1410
1729
+ },
1730
+ {
1731
+ "entropy": 1.1408521559089422,
1732
+ "epoch": 4.5376,
1733
+ "grad_norm": 10.0,
1734
+ "learning_rate": 1.906888888888889e-05,
1735
+ "loss": 1.1334,
1736
+ "mean_token_accuracy": 0.717669415473938,
1737
+ "num_tokens": 23502858.0,
1738
+ "step": 1420
1739
+ },
1740
+ {
1741
+ "entropy": 1.1881117545068265,
1742
+ "epoch": 4.5696,
1743
+ "grad_norm": 10.3125,
1744
+ "learning_rate": 1.904666666666667e-05,
1745
+ "loss": 1.1501,
1746
+ "mean_token_accuracy": 0.7118328493088484,
1747
+ "num_tokens": 23671520.0,
1748
+ "step": 1430
1749
+ },
1750
+ {
1751
+ "entropy": 1.1651773374527692,
1752
+ "epoch": 4.6016,
1753
+ "grad_norm": 10.9375,
1754
+ "learning_rate": 1.9024444444444446e-05,
1755
+ "loss": 1.1427,
1756
+ "mean_token_accuracy": 0.7142679516226054,
1757
+ "num_tokens": 23832756.0,
1758
+ "step": 1440
1759
+ },
1760
+ {
1761
+ "entropy": 1.158542051911354,
1762
+ "epoch": 4.6336,
1763
+ "grad_norm": 10.0625,
1764
+ "learning_rate": 1.9002222222222224e-05,
1765
+ "loss": 1.1028,
1766
+ "mean_token_accuracy": 0.7187374413013459,
1767
+ "num_tokens": 23994203.0,
1768
+ "step": 1450
1769
+ },
1770
+ {
1771
+ "entropy": 1.1147582449018956,
1772
+ "epoch": 4.6655999999999995,
1773
+ "grad_norm": 8.875,
1774
+ "learning_rate": 1.898e-05,
1775
+ "loss": 1.0791,
1776
+ "mean_token_accuracy": 0.7234875354915857,
1777
+ "num_tokens": 24170398.0,
1778
+ "step": 1460
1779
+ },
1780
+ {
1781
+ "entropy": 1.16308904774487,
1782
+ "epoch": 4.6975999999999996,
1783
+ "grad_norm": 10.125,
1784
+ "learning_rate": 1.895777777777778e-05,
1785
+ "loss": 1.1331,
1786
+ "mean_token_accuracy": 0.7167198553681373,
1787
+ "num_tokens": 24333281.0,
1788
+ "step": 1470
1789
+ },
1790
+ {
1791
+ "entropy": 1.1451086029410362,
1792
+ "epoch": 4.7296,
1793
+ "grad_norm": 8.8125,
1794
+ "learning_rate": 1.8935555555555556e-05,
1795
+ "loss": 1.1031,
1796
+ "mean_token_accuracy": 0.7176411859691143,
1797
+ "num_tokens": 24502037.0,
1798
+ "step": 1480
1799
+ },
1800
+ {
1801
+ "entropy": 1.2100287709385156,
1802
+ "epoch": 4.7616,
1803
+ "grad_norm": 10.6875,
1804
+ "learning_rate": 1.8913333333333334e-05,
1805
+ "loss": 1.1568,
1806
+ "mean_token_accuracy": 0.7084289535880088,
1807
+ "num_tokens": 24667335.0,
1808
+ "step": 1490
1809
+ },
1810
+ {
1811
+ "entropy": 1.1385379381477834,
1812
+ "epoch": 4.7936,
1813
+ "grad_norm": 9.5625,
1814
+ "learning_rate": 1.8891111111111115e-05,
1815
+ "loss": 1.1007,
1816
+ "mean_token_accuracy": 0.7203466827049851,
1817
+ "num_tokens": 24829965.0,
1818
+ "step": 1500
1819
+ },
1820
+ {
1821
+ "epoch": 4.7936,
1822
+ "eval_coding_entropy": 1.6071018924713134,
1823
+ "eval_coding_loss": 2.2054996490478516,
1824
+ "eval_coding_mean_token_accuracy": 0.5207259600162506,
1825
+ "eval_coding_num_tokens": 24829965.0,
1826
+ "eval_coding_runtime": 82.6052,
1827
+ "eval_coding_samples_per_second": 6.053,
1828
+ "eval_coding_steps_per_second": 3.026,
1829
+ "step": 1500
1830
+ },
1831
+ {
1832
+ "epoch": 4.7936,
1833
+ "eval_physics_entropy": 1.1821390426158904,
1834
+ "eval_physics_loss": 1.2802668809890747,
1835
+ "eval_physics_mean_token_accuracy": 0.6976329164505005,
1836
+ "eval_physics_num_tokens": 24829965.0,
1837
+ "eval_physics_runtime": 50.6887,
1838
+ "eval_physics_samples_per_second": 9.864,
1839
+ "eval_physics_steps_per_second": 4.932,
1840
+ "step": 1500
1841
+ },
1842
+ {
1843
+ "entropy": 1.1339262820780278,
1844
+ "epoch": 4.8256,
1845
+ "grad_norm": 8.4375,
1846
+ "learning_rate": 1.886888888888889e-05,
1847
+ "loss": 1.0898,
1848
+ "mean_token_accuracy": 0.7229399343952536,
1849
+ "num_tokens": 24993001.0,
1850
+ "step": 1510
1851
+ },
1852
+ {
1853
+ "entropy": 1.1489319629967212,
1854
+ "epoch": 4.8576,
1855
+ "grad_norm": 9.0,
1856
+ "learning_rate": 1.884666666666667e-05,
1857
+ "loss": 1.0956,
1858
+ "mean_token_accuracy": 0.7196420207619667,
1859
+ "num_tokens": 25161270.0,
1860
+ "step": 1520
1861
+ },
1862
+ {
1863
+ "entropy": 1.1502934597432612,
1864
+ "epoch": 4.8896,
1865
+ "grad_norm": 8.875,
1866
+ "learning_rate": 1.8824444444444445e-05,
1867
+ "loss": 1.1174,
1868
+ "mean_token_accuracy": 0.7189344964921475,
1869
+ "num_tokens": 25325907.0,
1870
+ "step": 1530
1871
+ },
1872
+ {
1873
+ "entropy": 1.092420133575797,
1874
+ "epoch": 4.9216,
1875
+ "grad_norm": 9.8125,
1876
+ "learning_rate": 1.8802222222222226e-05,
1877
+ "loss": 1.0627,
1878
+ "mean_token_accuracy": 0.7274942602962255,
1879
+ "num_tokens": 25492085.0,
1880
+ "step": 1540
1881
+ },
1882
+ {
1883
+ "entropy": 1.196289550513029,
1884
+ "epoch": 4.9536,
1885
+ "grad_norm": 9.25,
1886
+ "learning_rate": 1.878e-05,
1887
+ "loss": 1.1418,
1888
+ "mean_token_accuracy": 0.7106173977255821,
1889
+ "num_tokens": 25653637.0,
1890
+ "step": 1550
1891
+ },
1892
+ {
1893
+ "entropy": 1.1429802037775516,
1894
+ "epoch": 4.9856,
1895
+ "grad_norm": 9.5,
1896
+ "learning_rate": 1.875777777777778e-05,
1897
+ "loss": 1.0915,
1898
+ "mean_token_accuracy": 0.7196958020329476,
1899
+ "num_tokens": 25825573.0,
1900
+ "step": 1560
1901
+ },
1902
+ {
1903
+ "entropy": 1.0252085781018985,
1904
+ "epoch": 5.016,
1905
+ "grad_norm": 9.125,
1906
+ "learning_rate": 1.873555555555556e-05,
1907
+ "loss": 0.9806,
1908
+ "mean_token_accuracy": 0.7431941052016459,
1909
+ "num_tokens": 25990067.0,
1910
+ "step": 1570
1911
+ },
1912
+ {
1913
+ "entropy": 0.9978800658136606,
1914
+ "epoch": 5.048,
1915
+ "grad_norm": 7.90625,
1916
+ "learning_rate": 1.8713333333333336e-05,
1917
+ "loss": 0.9496,
1918
+ "mean_token_accuracy": 0.7502539362758398,
1919
+ "num_tokens": 26157643.0,
1920
+ "step": 1580
1921
+ },
1922
+ {
1923
+ "entropy": 0.9946053113788367,
1924
+ "epoch": 5.08,
1925
+ "grad_norm": 7.3125,
1926
+ "learning_rate": 1.8691111111111114e-05,
1927
+ "loss": 0.9582,
1928
+ "mean_token_accuracy": 0.7463313773274421,
1929
+ "num_tokens": 26330383.0,
1930
+ "step": 1590
1931
+ },
1932
+ {
1933
+ "entropy": 1.0126261772587895,
1934
+ "epoch": 5.112,
1935
+ "grad_norm": 8.875,
1936
+ "learning_rate": 1.866888888888889e-05,
1937
+ "loss": 0.9684,
1938
+ "mean_token_accuracy": 0.7450104162096978,
1939
+ "num_tokens": 26496271.0,
1940
+ "step": 1600
1941
+ },
1942
+ {
1943
+ "epoch": 5.112,
1944
+ "eval_coding_entropy": 1.4595765166282655,
1945
+ "eval_coding_loss": 2.275820732116699,
1946
+ "eval_coding_mean_token_accuracy": 0.5172890294790268,
1947
+ "eval_coding_num_tokens": 26496271.0,
1948
+ "eval_coding_runtime": 80.0195,
1949
+ "eval_coding_samples_per_second": 6.248,
1950
+ "eval_coding_steps_per_second": 3.124,
1951
+ "step": 1600
1952
+ },
1953
+ {
1954
+ "epoch": 5.112,
1955
+ "eval_physics_entropy": 1.0461106979846955,
1956
+ "eval_physics_loss": 1.2792062759399414,
1957
+ "eval_physics_mean_token_accuracy": 0.7012547857761383,
1958
+ "eval_physics_num_tokens": 26496271.0,
1959
+ "eval_physics_runtime": 50.8139,
1960
+ "eval_physics_samples_per_second": 9.84,
1961
+ "eval_physics_steps_per_second": 4.92,
1962
+ "step": 1600
1963
+ },
1964
+ {
1965
+ "entropy": 1.0357391186058522,
1966
+ "epoch": 5.144,
1967
+ "grad_norm": 8.75,
1968
+ "learning_rate": 1.864666666666667e-05,
1969
+ "loss": 0.9946,
1970
+ "mean_token_accuracy": 0.7396486084908247,
1971
+ "num_tokens": 26657872.0,
1972
+ "step": 1610
1973
+ },
1974
+ {
1975
+ "entropy": 1.0501383509486915,
1976
+ "epoch": 5.176,
1977
+ "grad_norm": 8.5625,
1978
+ "learning_rate": 1.8624444444444446e-05,
1979
+ "loss": 1.0118,
1980
+ "mean_token_accuracy": 0.7364444840699435,
1981
+ "num_tokens": 26815558.0,
1982
+ "step": 1620
1983
+ },
1984
+ {
1985
+ "entropy": 0.9903883818536997,
1986
+ "epoch": 5.208,
1987
+ "grad_norm": 9.0625,
1988
+ "learning_rate": 1.8602222222222224e-05,
1989
+ "loss": 0.9495,
1990
+ "mean_token_accuracy": 0.7488659679889679,
1991
+ "num_tokens": 26988857.0,
1992
+ "step": 1630
1993
+ },
1994
+ {
1995
+ "entropy": 1.0144404012709856,
1996
+ "epoch": 5.24,
1997
+ "grad_norm": 7.5,
1998
+ "learning_rate": 1.858e-05,
1999
+ "loss": 0.9706,
2000
+ "mean_token_accuracy": 0.7453697588294744,
2001
+ "num_tokens": 27149125.0,
2002
+ "step": 1640
2003
+ },
2004
+ {
2005
+ "entropy": 1.0191889710724353,
2006
+ "epoch": 5.272,
2007
+ "grad_norm": 8.3125,
2008
+ "learning_rate": 1.855777777777778e-05,
2009
+ "loss": 0.9819,
2010
+ "mean_token_accuracy": 0.744130115583539,
2011
+ "num_tokens": 27316852.0,
2012
+ "step": 1650
2013
+ },
2014
+ {
2015
+ "entropy": 0.9761725923046469,
2016
+ "epoch": 5.304,
2017
+ "grad_norm": 8.125,
2018
+ "learning_rate": 1.8535555555555557e-05,
2019
+ "loss": 0.9475,
2020
+ "mean_token_accuracy": 0.7517474852502346,
2021
+ "num_tokens": 27481303.0,
2022
+ "step": 1660
2023
+ },
2024
+ {
2025
+ "entropy": 1.0315170247107743,
2026
+ "epoch": 5.336,
2027
+ "grad_norm": 8.1875,
2028
+ "learning_rate": 1.8513333333333335e-05,
2029
+ "loss": 0.9947,
2030
+ "mean_token_accuracy": 0.7406270373612642,
2031
+ "num_tokens": 27658752.0,
2032
+ "step": 1670
2033
+ },
2034
+ {
2035
+ "entropy": 1.0055052107200027,
2036
+ "epoch": 5.368,
2037
+ "grad_norm": 7.8125,
2038
+ "learning_rate": 1.8491111111111112e-05,
2039
+ "loss": 0.9678,
2040
+ "mean_token_accuracy": 0.7463656073436141,
2041
+ "num_tokens": 27825908.0,
2042
+ "step": 1680
2043
+ },
2044
+ {
2045
+ "entropy": 1.0419462624937297,
2046
+ "epoch": 5.4,
2047
+ "grad_norm": 8.25,
2048
+ "learning_rate": 1.846888888888889e-05,
2049
+ "loss": 0.9845,
2050
+ "mean_token_accuracy": 0.7397806786000729,
2051
+ "num_tokens": 27994598.0,
2052
+ "step": 1690
2053
+ },
2054
+ {
2055
+ "entropy": 1.042955220490694,
2056
+ "epoch": 5.432,
2057
+ "grad_norm": 8.5625,
2058
+ "learning_rate": 1.8446666666666667e-05,
2059
+ "loss": 0.9998,
2060
+ "mean_token_accuracy": 0.7378627855330706,
2061
+ "num_tokens": 28163244.0,
2062
+ "step": 1700
2063
+ },
2064
+ {
2065
+ "epoch": 5.432,
2066
+ "eval_coding_entropy": 1.4777437753677367,
2067
+ "eval_coding_loss": 2.277747631072998,
2068
+ "eval_coding_mean_token_accuracy": 0.5185715831518173,
2069
+ "eval_coding_num_tokens": 28163244.0,
2070
+ "eval_coding_runtime": 80.042,
2071
+ "eval_coding_samples_per_second": 6.247,
2072
+ "eval_coding_steps_per_second": 3.123,
2073
+ "step": 1700
2074
+ },
2075
+ {
2076
+ "epoch": 5.432,
2077
+ "eval_physics_entropy": 1.0643408155441285,
2078
+ "eval_physics_loss": 1.2596138715744019,
2079
+ "eval_physics_mean_token_accuracy": 0.7038933093547821,
2080
+ "eval_physics_num_tokens": 28163244.0,
2081
+ "eval_physics_runtime": 50.8348,
2082
+ "eval_physics_samples_per_second": 9.836,
2083
+ "eval_physics_steps_per_second": 4.918,
2084
+ "step": 1700
2085
+ },
2086
+ {
2087
+ "entropy": 0.9977170016616583,
2088
+ "epoch": 5.464,
2089
+ "grad_norm": 10.6875,
2090
+ "learning_rate": 1.842444444444445e-05,
2091
+ "loss": 0.9714,
2092
+ "mean_token_accuracy": 0.7471988730132579,
2093
+ "num_tokens": 28327234.0,
2094
+ "step": 1710
2095
+ },
2096
+ {
2097
+ "entropy": 0.982015180028975,
2098
+ "epoch": 5.496,
2099
+ "grad_norm": 9.5625,
2100
+ "learning_rate": 1.8402222222222223e-05,
2101
+ "loss": 0.9392,
2102
+ "mean_token_accuracy": 0.7512154206633568,
2103
+ "num_tokens": 28494226.0,
2104
+ "step": 1720
2105
+ },
2106
+ {
2107
+ "entropy": 1.012007206492126,
2108
+ "epoch": 5.5280000000000005,
2109
+ "grad_norm": 6.96875,
2110
+ "learning_rate": 1.8380000000000004e-05,
2111
+ "loss": 0.9818,
2112
+ "mean_token_accuracy": 0.7440147709101439,
2113
+ "num_tokens": 28662926.0,
2114
+ "step": 1730
2115
+ },
2116
+ {
2117
+ "entropy": 0.9774416748434305,
2118
+ "epoch": 5.5600000000000005,
2119
+ "grad_norm": 8.1875,
2120
+ "learning_rate": 1.8357777777777778e-05,
2121
+ "loss": 0.9452,
2122
+ "mean_token_accuracy": 0.7503319170325995,
2123
+ "num_tokens": 28827430.0,
2124
+ "step": 1740
2125
+ },
2126
+ {
2127
+ "entropy": 1.020398671925068,
2128
+ "epoch": 5.592,
2129
+ "grad_norm": 7.75,
2130
+ "learning_rate": 1.833555555555556e-05,
2131
+ "loss": 0.9773,
2132
+ "mean_token_accuracy": 0.7404747471213341,
2133
+ "num_tokens": 28993938.0,
2134
+ "step": 1750
2135
+ },
2136
+ {
2137
+ "entropy": 1.0490892603993416,
2138
+ "epoch": 5.624,
2139
+ "grad_norm": 8.6875,
2140
+ "learning_rate": 1.8313333333333333e-05,
2141
+ "loss": 1.016,
2142
+ "mean_token_accuracy": 0.7372140675783158,
2143
+ "num_tokens": 29159365.0,
2144
+ "step": 1760
2145
+ },
2146
+ {
2147
+ "entropy": 1.026135996170342,
2148
+ "epoch": 5.656,
2149
+ "grad_norm": 8.375,
2150
+ "learning_rate": 1.8291111111111114e-05,
2151
+ "loss": 1.0025,
2152
+ "mean_token_accuracy": 0.7405038315802812,
2153
+ "num_tokens": 29320125.0,
2154
+ "step": 1770
2155
+ },
2156
+ {
2157
+ "entropy": 1.047302521020174,
2158
+ "epoch": 5.688,
2159
+ "grad_norm": 8.0625,
2160
+ "learning_rate": 1.8268888888888888e-05,
2161
+ "loss": 0.9859,
2162
+ "mean_token_accuracy": 0.7409991217777133,
2163
+ "num_tokens": 29481876.0,
2164
+ "step": 1780
2165
+ },
2166
+ {
2167
+ "entropy": 1.0233549170196057,
2168
+ "epoch": 5.72,
2169
+ "grad_norm": 9.0625,
2170
+ "learning_rate": 1.824666666666667e-05,
2171
+ "loss": 0.987,
2172
+ "mean_token_accuracy": 0.7419757056981325,
2173
+ "num_tokens": 29641581.0,
2174
+ "step": 1790
2175
+ },
2176
+ {
2177
+ "entropy": 1.0335674609988927,
2178
+ "epoch": 5.752,
2179
+ "grad_norm": 8.0625,
2180
+ "learning_rate": 1.8224444444444447e-05,
2181
+ "loss": 0.9857,
2182
+ "mean_token_accuracy": 0.7423797022551298,
2183
+ "num_tokens": 29804639.0,
2184
+ "step": 1800
2185
+ },
2186
+ {
2187
+ "epoch": 5.752,
2188
+ "eval_coding_entropy": 1.4844380550384522,
2189
+ "eval_coding_loss": 2.3004150390625,
2190
+ "eval_coding_mean_token_accuracy": 0.5159263869524002,
2191
+ "eval_coding_num_tokens": 29804639.0,
2192
+ "eval_coding_runtime": 80.5137,
2193
+ "eval_coding_samples_per_second": 6.21,
2194
+ "eval_coding_steps_per_second": 3.105,
2195
+ "step": 1800
2196
+ },
2197
+ {
2198
+ "epoch": 5.752,
2199
+ "eval_physics_entropy": 1.067388994693756,
2200
+ "eval_physics_loss": 1.2464126348495483,
2201
+ "eval_physics_mean_token_accuracy": 0.7066913852691651,
2202
+ "eval_physics_num_tokens": 29804639.0,
2203
+ "eval_physics_runtime": 51.0316,
2204
+ "eval_physics_samples_per_second": 9.798,
2205
+ "eval_physics_steps_per_second": 4.899,
2206
+ "step": 1800
2207
+ },
2208
+ {
2209
+ "entropy": 1.0015105351805687,
2210
+ "epoch": 5.784,
2211
+ "grad_norm": 7.34375,
2212
+ "learning_rate": 1.8202222222222225e-05,
2213
+ "loss": 0.972,
2214
+ "mean_token_accuracy": 0.7444529678672552,
2215
+ "num_tokens": 29978576.0,
2216
+ "step": 1810
2217
+ },
2218
+ {
2219
+ "entropy": 1.0132002836093306,
2220
+ "epoch": 5.816,
2221
+ "grad_norm": 8.0625,
2222
+ "learning_rate": 1.8180000000000002e-05,
2223
+ "loss": 0.9771,
2224
+ "mean_token_accuracy": 0.7456060782074928,
2225
+ "num_tokens": 30141916.0,
2226
+ "step": 1820
2227
+ },
2228
+ {
2229
+ "entropy": 0.9955538790673018,
2230
+ "epoch": 5.848,
2231
+ "grad_norm": 7.375,
2232
+ "learning_rate": 1.815777777777778e-05,
2233
+ "loss": 0.9692,
2234
+ "mean_token_accuracy": 0.7480616871267557,
2235
+ "num_tokens": 30307900.0,
2236
+ "step": 1830
2237
+ },
2238
+ {
2239
+ "entropy": 1.0551919762045145,
2240
+ "epoch": 5.88,
2241
+ "grad_norm": 7.75,
2242
+ "learning_rate": 1.8135555555555557e-05,
2243
+ "loss": 0.9944,
2244
+ "mean_token_accuracy": 0.7364229299128056,
2245
+ "num_tokens": 30470302.0,
2246
+ "step": 1840
2247
+ },
2248
+ {
2249
+ "entropy": 1.0333939548581839,
2250
+ "epoch": 5.912,
2251
+ "grad_norm": 8.625,
2252
+ "learning_rate": 1.8113333333333335e-05,
2253
+ "loss": 0.9958,
2254
+ "mean_token_accuracy": 0.7395027175545692,
2255
+ "num_tokens": 30636029.0,
2256
+ "step": 1850
2257
+ },
2258
+ {
2259
+ "entropy": 1.0492048785090446,
2260
+ "epoch": 5.944,
2261
+ "grad_norm": 7.40625,
2262
+ "learning_rate": 1.8091111111111113e-05,
2263
+ "loss": 1.0063,
2264
+ "mean_token_accuracy": 0.7376182321459055,
2265
+ "num_tokens": 30799363.0,
2266
+ "step": 1860
2267
+ },
2268
+ {
2269
+ "entropy": 1.0491292778402568,
2270
+ "epoch": 5.976,
2271
+ "grad_norm": 8.6875,
2272
+ "learning_rate": 1.806888888888889e-05,
2273
+ "loss": 1.007,
2274
+ "mean_token_accuracy": 0.7397043209522962,
2275
+ "num_tokens": 30960267.0,
2276
+ "step": 1870
2277
+ },
2278
+ {
2279
+ "entropy": 1.0033901220089512,
2280
+ "epoch": 6.0064,
2281
+ "grad_norm": 7.21875,
2282
+ "learning_rate": 1.8046666666666668e-05,
2283
+ "loss": 0.9577,
2284
+ "mean_token_accuracy": 0.7508013134724215,
2285
+ "num_tokens": 31115221.0,
2286
+ "step": 1880
2287
+ },
2288
+ {
2289
+ "entropy": 0.8799053080379963,
2290
+ "epoch": 6.0384,
2291
+ "grad_norm": 8.5,
2292
+ "learning_rate": 1.8024444444444445e-05,
2293
+ "loss": 0.8421,
2294
+ "mean_token_accuracy": 0.7726955726742745,
2295
+ "num_tokens": 31282640.0,
2296
+ "step": 1890
2297
+ },
2298
+ {
2299
+ "entropy": 0.8743755616247654,
2300
+ "epoch": 6.0704,
2301
+ "grad_norm": 7.59375,
2302
+ "learning_rate": 1.8002222222222223e-05,
2303
+ "loss": 0.8413,
2304
+ "mean_token_accuracy": 0.7713052142411471,
2305
+ "num_tokens": 31452030.0,
2306
+ "step": 1900
2307
+ },
2308
+ {
2309
+ "epoch": 6.0704,
2310
+ "eval_coding_entropy": 1.4276922750473022,
2311
+ "eval_coding_loss": 2.3653318881988525,
2312
+ "eval_coding_mean_token_accuracy": 0.5115255815982819,
2313
+ "eval_coding_num_tokens": 31452030.0,
2314
+ "eval_coding_runtime": 80.5075,
2315
+ "eval_coding_samples_per_second": 6.211,
2316
+ "eval_coding_steps_per_second": 3.105,
2317
+ "step": 1900
2318
+ },
2319
+ {
2320
+ "epoch": 6.0704,
2321
+ "eval_physics_entropy": 0.9663202397823334,
2322
+ "eval_physics_loss": 1.2572896480560303,
2323
+ "eval_physics_mean_token_accuracy": 0.7080614182949067,
2324
+ "eval_physics_num_tokens": 31452030.0,
2325
+ "eval_physics_runtime": 51.1398,
2326
+ "eval_physics_samples_per_second": 9.777,
2327
+ "eval_physics_steps_per_second": 4.889,
2328
+ "step": 1900
2329
+ },
2330
+ {
2331
+ "entropy": 0.8911404553800821,
2332
+ "epoch": 6.1024,
2333
+ "grad_norm": 8.5,
2334
+ "learning_rate": 1.798e-05,
2335
+ "loss": 0.8417,
2336
+ "mean_token_accuracy": 0.7735247768461704,
2337
+ "num_tokens": 31617821.0,
2338
+ "step": 1910
2339
+ },
2340
+ {
2341
+ "entropy": 0.8949294181540608,
2342
+ "epoch": 6.1344,
2343
+ "grad_norm": 7.875,
2344
+ "learning_rate": 1.7957777777777778e-05,
2345
+ "loss": 0.856,
2346
+ "mean_token_accuracy": 0.7668255034834146,
2347
+ "num_tokens": 31783257.0,
2348
+ "step": 1920
2349
+ },
2350
+ {
2351
+ "entropy": 0.904043540544808,
2352
+ "epoch": 6.1664,
2353
+ "grad_norm": 8.0625,
2354
+ "learning_rate": 1.7935555555555556e-05,
2355
+ "loss": 0.8687,
2356
+ "mean_token_accuracy": 0.766658914834261,
2357
+ "num_tokens": 31945987.0,
2358
+ "step": 1930
2359
+ },
2360
+ {
2361
+ "entropy": 0.892748880572617,
2362
+ "epoch": 6.1984,
2363
+ "grad_norm": 8.1875,
2364
+ "learning_rate": 1.7913333333333337e-05,
2365
+ "loss": 0.8445,
2366
+ "mean_token_accuracy": 0.7715954016894102,
2367
+ "num_tokens": 32108923.0,
2368
+ "step": 1940
2369
+ },
2370
+ {
2371
+ "entropy": 0.8627868793904782,
2372
+ "epoch": 6.2304,
2373
+ "grad_norm": 7.34375,
2374
+ "learning_rate": 1.789111111111111e-05,
2375
+ "loss": 0.8205,
2376
+ "mean_token_accuracy": 0.774358106404543,
2377
+ "num_tokens": 32280527.0,
2378
+ "step": 1950
2379
+ },
2380
+ {
2381
+ "entropy": 0.935067780688405,
2382
+ "epoch": 6.2624,
2383
+ "grad_norm": 8.1875,
2384
+ "learning_rate": 1.7868888888888892e-05,
2385
+ "loss": 0.8771,
2386
+ "mean_token_accuracy": 0.7616540655493736,
2387
+ "num_tokens": 32448689.0,
2388
+ "step": 1960
2389
+ },
2390
+ {
2391
+ "entropy": 0.8619815381243825,
2392
+ "epoch": 6.2943999999999996,
2393
+ "grad_norm": 6.75,
2394
+ "learning_rate": 1.7846666666666666e-05,
2395
+ "loss": 0.8203,
2396
+ "mean_token_accuracy": 0.7761578068137169,
2397
+ "num_tokens": 32623655.0,
2398
+ "step": 1970
2399
+ },
2400
+ {
2401
+ "entropy": 0.9105080384761095,
2402
+ "epoch": 6.3264,
2403
+ "grad_norm": 8.75,
2404
+ "learning_rate": 1.7824444444444447e-05,
2405
+ "loss": 0.8749,
2406
+ "mean_token_accuracy": 0.7641179401427507,
2407
+ "num_tokens": 32788431.0,
2408
+ "step": 1980
2409
+ },
2410
+ {
2411
+ "entropy": 0.9150203362107276,
2412
+ "epoch": 6.3584,
2413
+ "grad_norm": 7.15625,
2414
+ "learning_rate": 1.780222222222222e-05,
2415
+ "loss": 0.8895,
2416
+ "mean_token_accuracy": 0.7654095780104399,
2417
+ "num_tokens": 32953331.0,
2418
+ "step": 1990
2419
+ },
2420
+ {
2421
+ "entropy": 0.9151443220674992,
2422
+ "epoch": 6.3904,
2423
+ "grad_norm": 6.96875,
2424
+ "learning_rate": 1.7780000000000003e-05,
2425
+ "loss": 0.8604,
2426
+ "mean_token_accuracy": 0.7665283579379321,
2427
+ "num_tokens": 33123102.0,
2428
+ "step": 2000
2429
+ },
2430
+ {
2431
+ "epoch": 6.3904,
2432
+ "eval_coding_entropy": 1.3934270286560058,
2433
+ "eval_coding_loss": 2.4072625637054443,
2434
+ "eval_coding_mean_token_accuracy": 0.5086399167776108,
2435
+ "eval_coding_num_tokens": 33123102.0,
2436
+ "eval_coding_runtime": 80.4742,
2437
+ "eval_coding_samples_per_second": 6.213,
2438
+ "eval_coding_steps_per_second": 3.107,
2439
+ "step": 2000
2440
+ },
2441
+ {
2442
+ "epoch": 6.3904,
2443
+ "eval_physics_entropy": 0.9661147429943084,
2444
+ "eval_physics_loss": 1.2546967267990112,
2445
+ "eval_physics_mean_token_accuracy": 0.7096827251911163,
2446
+ "eval_physics_num_tokens": 33123102.0,
2447
+ "eval_physics_runtime": 50.4983,
2448
+ "eval_physics_samples_per_second": 9.901,
2449
+ "eval_physics_steps_per_second": 4.951,
2450
+ "step": 2000
2451
+ },
2452
+ {
2453
+ "entropy": 0.9143168790265918,
2454
+ "epoch": 6.4224,
2455
+ "grad_norm": 9.25,
2456
+ "learning_rate": 1.7757777777777777e-05,
2457
+ "loss": 0.8664,
2458
+ "mean_token_accuracy": 0.7659744843840599,
2459
+ "num_tokens": 33286459.0,
2460
+ "step": 2010
2461
+ },
2462
+ {
2463
+ "entropy": 0.9008195903152227,
2464
+ "epoch": 6.4544,
2465
+ "grad_norm": 8.0625,
2466
+ "learning_rate": 1.7735555555555558e-05,
2467
+ "loss": 0.8609,
2468
+ "mean_token_accuracy": 0.7678866066038609,
2469
+ "num_tokens": 33452198.0,
2470
+ "step": 2020
2471
+ },
2472
+ {
2473
+ "entropy": 0.9174474649131298,
2474
+ "epoch": 6.4864,
2475
+ "grad_norm": 6.96875,
2476
+ "learning_rate": 1.7713333333333335e-05,
2477
+ "loss": 0.8828,
2478
+ "mean_token_accuracy": 0.7651618968695402,
2479
+ "num_tokens": 33617056.0,
2480
+ "step": 2030
2481
+ },
2482
+ {
2483
+ "entropy": 0.9258514747023583,
2484
+ "epoch": 6.5184,
2485
+ "grad_norm": 9.0,
2486
+ "learning_rate": 1.7691111111111113e-05,
2487
+ "loss": 0.8849,
2488
+ "mean_token_accuracy": 0.7615245707333088,
2489
+ "num_tokens": 33778782.0,
2490
+ "step": 2040
2491
+ },
2492
+ {
2493
+ "entropy": 0.8773188255727291,
2494
+ "epoch": 6.5504,
2495
+ "grad_norm": 7.34375,
2496
+ "learning_rate": 1.766888888888889e-05,
2497
+ "loss": 0.8513,
2498
+ "mean_token_accuracy": 0.7721717149019242,
2499
+ "num_tokens": 33946435.0,
2500
+ "step": 2050
2501
+ },
2502
+ {
2503
+ "entropy": 0.8679801823571325,
2504
+ "epoch": 6.5824,
2505
+ "grad_norm": 7.1875,
2506
+ "learning_rate": 1.7646666666666668e-05,
2507
+ "loss": 0.8448,
2508
+ "mean_token_accuracy": 0.7743362218141556,
2509
+ "num_tokens": 34110878.0,
2510
+ "step": 2060
2511
+ },
2512
+ {
2513
+ "entropy": 0.9021867254748941,
2514
+ "epoch": 6.6144,
2515
+ "grad_norm": 7.71875,
2516
+ "learning_rate": 1.7624444444444446e-05,
2517
+ "loss": 0.8595,
2518
+ "mean_token_accuracy": 0.7639507986605167,
2519
+ "num_tokens": 34276122.0,
2520
+ "step": 2070
2521
+ },
2522
+ {
2523
+ "entropy": 0.9054385522380471,
2524
+ "epoch": 6.6464,
2525
+ "grad_norm": 7.28125,
2526
+ "learning_rate": 1.7602222222222223e-05,
2527
+ "loss": 0.8509,
2528
+ "mean_token_accuracy": 0.7672549616545439,
2529
+ "num_tokens": 34445468.0,
2530
+ "step": 2080
2531
+ },
2532
+ {
2533
+ "entropy": 0.9238305319100618,
2534
+ "epoch": 6.6784,
2535
+ "grad_norm": 7.875,
2536
+ "learning_rate": 1.758e-05,
2537
+ "loss": 0.8878,
2538
+ "mean_token_accuracy": 0.7622724357992411,
2539
+ "num_tokens": 34607967.0,
2540
+ "step": 2090
2541
+ },
2542
+ {
2543
+ "entropy": 0.9155510788783431,
2544
+ "epoch": 6.7104,
2545
+ "grad_norm": 7.78125,
2546
+ "learning_rate": 1.755777777777778e-05,
2547
+ "loss": 0.8703,
2548
+ "mean_token_accuracy": 0.7665455520153046,
2549
+ "num_tokens": 34767297.0,
2550
+ "step": 2100
2551
+ },
2552
+ {
2553
+ "epoch": 6.7104,
2554
+ "eval_coding_entropy": 1.3831247334480286,
2555
+ "eval_coding_loss": 2.4127957820892334,
2556
+ "eval_coding_mean_token_accuracy": 0.5079380587339402,
2557
+ "eval_coding_num_tokens": 34767297.0,
2558
+ "eval_coding_runtime": 80.0354,
2559
+ "eval_coding_samples_per_second": 6.247,
2560
+ "eval_coding_steps_per_second": 3.124,
2561
+ "step": 2100
2562
+ },
2563
+ {
2564
+ "epoch": 6.7104,
2565
+ "eval_physics_entropy": 0.948450217962265,
2566
+ "eval_physics_loss": 1.2423639297485352,
2567
+ "eval_physics_mean_token_accuracy": 0.712554681301117,
2568
+ "eval_physics_num_tokens": 34767297.0,
2569
+ "eval_physics_runtime": 51.0873,
2570
+ "eval_physics_samples_per_second": 9.787,
2571
+ "eval_physics_steps_per_second": 4.894,
2572
+ "step": 2100
2573
+ },
2574
+ {
2575
+ "entropy": 0.9181889228522777,
2576
+ "epoch": 6.7424,
2577
+ "grad_norm": 7.90625,
2578
+ "learning_rate": 1.7535555555555556e-05,
2579
+ "loss": 0.8632,
2580
+ "mean_token_accuracy": 0.7635320980101824,
2581
+ "num_tokens": 34934673.0,
2582
+ "step": 2110
2583
+ },
2584
+ {
2585
+ "entropy": 0.9264846274629235,
2586
+ "epoch": 6.7744,
2587
+ "grad_norm": 7.21875,
2588
+ "learning_rate": 1.7513333333333334e-05,
2589
+ "loss": 0.8849,
2590
+ "mean_token_accuracy": 0.7640311282128096,
2591
+ "num_tokens": 35095715.0,
2592
+ "step": 2120
2593
+ },
2594
+ {
2595
+ "entropy": 0.9454937249422073,
2596
+ "epoch": 6.8064,
2597
+ "grad_norm": 8.625,
2598
+ "learning_rate": 1.749111111111111e-05,
2599
+ "loss": 0.886,
2600
+ "mean_token_accuracy": 0.76067238971591,
2601
+ "num_tokens": 35252925.0,
2602
+ "step": 2130
2603
+ },
2604
+ {
2605
+ "entropy": 0.8765326388180256,
2606
+ "epoch": 6.8384,
2607
+ "grad_norm": 7.34375,
2608
+ "learning_rate": 1.746888888888889e-05,
2609
+ "loss": 0.8529,
2610
+ "mean_token_accuracy": 0.771139046177268,
2611
+ "num_tokens": 35421004.0,
2612
+ "step": 2140
2613
+ },
2614
+ {
2615
+ "entropy": 0.9181803734973073,
2616
+ "epoch": 6.8704,
2617
+ "grad_norm": 9.0625,
2618
+ "learning_rate": 1.7446666666666667e-05,
2619
+ "loss": 0.8818,
2620
+ "mean_token_accuracy": 0.7621538914740086,
2621
+ "num_tokens": 35588850.0,
2622
+ "step": 2150
2623
+ },
2624
+ {
2625
+ "entropy": 0.9150473818182945,
2626
+ "epoch": 6.9024,
2627
+ "grad_norm": 7.1875,
2628
+ "learning_rate": 1.7424444444444444e-05,
2629
+ "loss": 0.8757,
2630
+ "mean_token_accuracy": 0.7644228901714086,
2631
+ "num_tokens": 35756753.0,
2632
+ "step": 2160
2633
+ },
2634
+ {
2635
+ "entropy": 0.9008896285668015,
2636
+ "epoch": 6.9344,
2637
+ "grad_norm": 7.34375,
2638
+ "learning_rate": 1.7402222222222222e-05,
2639
+ "loss": 0.8555,
2640
+ "mean_token_accuracy": 0.7681890320032835,
2641
+ "num_tokens": 35927158.0,
2642
+ "step": 2170
2643
+ },
2644
+ {
2645
+ "entropy": 0.9253141183406115,
2646
+ "epoch": 6.9664,
2647
+ "grad_norm": 9.125,
2648
+ "learning_rate": 1.7380000000000003e-05,
2649
+ "loss": 0.8772,
2650
+ "mean_token_accuracy": 0.7653466906398535,
2651
+ "num_tokens": 36090024.0,
2652
+ "step": 2180
2653
+ },
2654
+ {
2655
+ "entropy": 0.8797704441472888,
2656
+ "epoch": 6.9984,
2657
+ "grad_norm": 8.25,
2658
+ "learning_rate": 1.735777777777778e-05,
2659
+ "loss": 0.8474,
2660
+ "mean_token_accuracy": 0.7717636529356241,
2661
+ "num_tokens": 36258284.0,
2662
+ "step": 2190
2663
+ },
2664
+ {
2665
+ "entropy": 0.8152320165383188,
2666
+ "epoch": 7.0288,
2667
+ "grad_norm": 7.75,
2668
+ "learning_rate": 1.7335555555555558e-05,
2669
+ "loss": 0.7805,
2670
+ "mean_token_accuracy": 0.7884461746404046,
2671
+ "num_tokens": 36413412.0,
2672
+ "step": 2200
2673
+ },
2674
+ {
2675
+ "epoch": 7.0288,
2676
+ "eval_coding_entropy": 1.3640027561187744,
2677
+ "eval_coding_loss": 2.441347122192383,
2678
+ "eval_coding_mean_token_accuracy": 0.5073574657440185,
2679
+ "eval_coding_num_tokens": 36413412.0,
2680
+ "eval_coding_runtime": 80.1284,
2681
+ "eval_coding_samples_per_second": 6.24,
2682
+ "eval_coding_steps_per_second": 3.12,
2683
+ "step": 2200
2684
+ },
2685
+ {
2686
+ "epoch": 7.0288,
2687
+ "eval_physics_entropy": 0.9083407464027404,
2688
+ "eval_physics_loss": 1.255447268486023,
2689
+ "eval_physics_mean_token_accuracy": 0.7122914800643921,
2690
+ "eval_physics_num_tokens": 36413412.0,
2691
+ "eval_physics_runtime": 50.8376,
2692
+ "eval_physics_samples_per_second": 9.835,
2693
+ "eval_physics_steps_per_second": 4.918,
2694
+ "step": 2200
2695
+ },
2696
+ {
2697
+ "entropy": 0.8199690246954561,
2698
+ "epoch": 7.0608,
2699
+ "grad_norm": 6.71875,
2700
+ "learning_rate": 1.7313333333333336e-05,
2701
+ "loss": 0.7725,
2702
+ "mean_token_accuracy": 0.7883035071194172,
2703
+ "num_tokens": 36577814.0,
2704
+ "step": 2210
2705
+ },
2706
+ {
2707
+ "entropy": 0.8005543855950237,
2708
+ "epoch": 7.0928,
2709
+ "grad_norm": 6.34375,
2710
+ "learning_rate": 1.7291111111111113e-05,
2711
+ "loss": 0.7537,
2712
+ "mean_token_accuracy": 0.792709443345666,
2713
+ "num_tokens": 36743769.0,
2714
+ "step": 2220
2715
+ },
2716
+ {
2717
+ "entropy": 0.7737716905772686,
2718
+ "epoch": 7.1248,
2719
+ "grad_norm": 7.28125,
2720
+ "learning_rate": 1.726888888888889e-05,
2721
+ "loss": 0.7337,
2722
+ "mean_token_accuracy": 0.7980268448591232,
2723
+ "num_tokens": 36905500.0,
2724
+ "step": 2230
2725
+ },
2726
+ {
2727
+ "entropy": 0.7658384937793017,
2728
+ "epoch": 7.1568,
2729
+ "grad_norm": 8.0625,
2730
+ "learning_rate": 1.724666666666667e-05,
2731
+ "loss": 0.722,
2732
+ "mean_token_accuracy": 0.7982677388936281,
2733
+ "num_tokens": 37072276.0,
2734
+ "step": 2240
2735
+ },
2736
+ {
2737
+ "entropy": 0.7949446378275752,
2738
+ "epoch": 7.1888,
2739
+ "grad_norm": 7.0625,
2740
+ "learning_rate": 1.7224444444444446e-05,
2741
+ "loss": 0.7447,
2742
+ "mean_token_accuracy": 0.7916857376694679,
2743
+ "num_tokens": 37243206.0,
2744
+ "step": 2250
2745
+ },
2746
+ {
2747
+ "entropy": 0.7903180595487356,
2748
+ "epoch": 7.2208,
2749
+ "grad_norm": 7.65625,
2750
+ "learning_rate": 1.7202222222222224e-05,
2751
+ "loss": 0.7493,
2752
+ "mean_token_accuracy": 0.7914611048996448,
2753
+ "num_tokens": 37403782.0,
2754
+ "step": 2260
2755
+ },
2756
+ {
2757
+ "entropy": 0.8121693830937147,
2758
+ "epoch": 7.2528,
2759
+ "grad_norm": 8.5,
2760
+ "learning_rate": 1.718e-05,
2761
+ "loss": 0.7584,
2762
+ "mean_token_accuracy": 0.7896586664021015,
2763
+ "num_tokens": 37579757.0,
2764
+ "step": 2270
2765
+ },
2766
+ {
2767
+ "entropy": 0.8230916598811746,
2768
+ "epoch": 7.2848,
2769
+ "grad_norm": 8.5,
2770
+ "learning_rate": 1.715777777777778e-05,
2771
+ "loss": 0.7654,
2772
+ "mean_token_accuracy": 0.7857871890068054,
2773
+ "num_tokens": 37748293.0,
2774
+ "step": 2280
2775
+ },
2776
+ {
2777
+ "entropy": 0.7982223512604832,
2778
+ "epoch": 7.3168,
2779
+ "grad_norm": 7.5,
2780
+ "learning_rate": 1.7135555555555557e-05,
2781
+ "loss": 0.7683,
2782
+ "mean_token_accuracy": 0.7907465297728777,
2783
+ "num_tokens": 37911700.0,
2784
+ "step": 2290
2785
+ },
2786
+ {
2787
+ "entropy": 0.7962693426758051,
2788
+ "epoch": 7.3488,
2789
+ "grad_norm": 7.0,
2790
+ "learning_rate": 1.7113333333333334e-05,
2791
+ "loss": 0.7486,
2792
+ "mean_token_accuracy": 0.792203564196825,
2793
+ "num_tokens": 38075680.0,
2794
+ "step": 2300
2795
+ },
2796
+ {
2797
+ "epoch": 7.3488,
2798
+ "eval_coding_entropy": 1.287874354839325,
2799
+ "eval_coding_loss": 2.5074503421783447,
2800
+ "eval_coding_mean_token_accuracy": 0.5053789194822311,
2801
+ "eval_coding_num_tokens": 38075680.0,
2802
+ "eval_coding_runtime": 80.6264,
2803
+ "eval_coding_samples_per_second": 6.201,
2804
+ "eval_coding_steps_per_second": 3.101,
2805
+ "step": 2300
2806
+ },
2807
+ {
2808
+ "epoch": 7.3488,
2809
+ "eval_physics_entropy": 0.8666039036512375,
2810
+ "eval_physics_loss": 1.271466851234436,
2811
+ "eval_physics_mean_token_accuracy": 0.7124857680797577,
2812
+ "eval_physics_num_tokens": 38075680.0,
2813
+ "eval_physics_runtime": 51.1957,
2814
+ "eval_physics_samples_per_second": 9.766,
2815
+ "eval_physics_steps_per_second": 4.883,
2816
+ "step": 2300
2817
+ },
2818
+ {
2819
+ "entropy": 0.7924799317494035,
2820
+ "epoch": 7.3808,
2821
+ "grad_norm": 6.9375,
2822
+ "learning_rate": 1.7091111111111112e-05,
2823
+ "loss": 0.7463,
2824
+ "mean_token_accuracy": 0.7927690587937832,
2825
+ "num_tokens": 38244451.0,
2826
+ "step": 2310
2827
+ },
2828
+ {
2829
+ "entropy": 0.8048048110678792,
2830
+ "epoch": 7.4128,
2831
+ "grad_norm": 8.5625,
2832
+ "learning_rate": 1.706888888888889e-05,
2833
+ "loss": 0.7566,
2834
+ "mean_token_accuracy": 0.7889414615929127,
2835
+ "num_tokens": 38412760.0,
2836
+ "step": 2320
2837
+ },
2838
+ {
2839
+ "entropy": 0.7931113267317415,
2840
+ "epoch": 7.4448,
2841
+ "grad_norm": 7.53125,
2842
+ "learning_rate": 1.704666666666667e-05,
2843
+ "loss": 0.7602,
2844
+ "mean_token_accuracy": 0.79053318426013,
2845
+ "num_tokens": 38573566.0,
2846
+ "step": 2330
2847
+ },
2848
+ {
2849
+ "entropy": 0.8242617558687926,
2850
+ "epoch": 7.4768,
2851
+ "grad_norm": 7.1875,
2852
+ "learning_rate": 1.7024444444444445e-05,
2853
+ "loss": 0.7762,
2854
+ "mean_token_accuracy": 0.7849719982594252,
2855
+ "num_tokens": 38740056.0,
2856
+ "step": 2340
2857
+ },
2858
+ {
2859
+ "entropy": 0.8317271640524269,
2860
+ "epoch": 7.5088,
2861
+ "grad_norm": 7.75,
2862
+ "learning_rate": 1.7002222222222226e-05,
2863
+ "loss": 0.7815,
2864
+ "mean_token_accuracy": 0.7838639069348574,
2865
+ "num_tokens": 38905300.0,
2866
+ "step": 2350
2867
+ },
2868
+ {
2869
+ "entropy": 0.8092041697353125,
2870
+ "epoch": 7.5408,
2871
+ "grad_norm": 6.84375,
2872
+ "learning_rate": 1.698e-05,
2873
+ "loss": 0.7511,
2874
+ "mean_token_accuracy": 0.7874078020453453,
2875
+ "num_tokens": 39071340.0,
2876
+ "step": 2360
2877
+ },
2878
+ {
2879
+ "entropy": 0.7718355517834425,
2880
+ "epoch": 7.5728,
2881
+ "grad_norm": 7.59375,
2882
+ "learning_rate": 1.695777777777778e-05,
2883
+ "loss": 0.7366,
2884
+ "mean_token_accuracy": 0.7969939954578876,
2885
+ "num_tokens": 39241074.0,
2886
+ "step": 2370
2887
+ },
2888
+ {
2889
+ "entropy": 0.8089465990662574,
2890
+ "epoch": 7.6048,
2891
+ "grad_norm": 8.625,
2892
+ "learning_rate": 1.6935555555555555e-05,
2893
+ "loss": 0.769,
2894
+ "mean_token_accuracy": 0.7888308063149452,
2895
+ "num_tokens": 39406361.0,
2896
+ "step": 2380
2897
+ },
2898
+ {
2899
+ "entropy": 0.8250319881364703,
2900
+ "epoch": 7.6368,
2901
+ "grad_norm": 8.5625,
2902
+ "learning_rate": 1.6913333333333336e-05,
2903
+ "loss": 0.7913,
2904
+ "mean_token_accuracy": 0.7831788897514343,
2905
+ "num_tokens": 39565971.0,
2906
+ "step": 2390
2907
+ },
2908
+ {
2909
+ "entropy": 0.8007921712473035,
2910
+ "epoch": 7.6688,
2911
+ "grad_norm": 6.71875,
2912
+ "learning_rate": 1.689111111111111e-05,
2913
+ "loss": 0.7537,
2914
+ "mean_token_accuracy": 0.7911801379173994,
2915
+ "num_tokens": 39732063.0,
2916
+ "step": 2400
2917
+ },
2918
+ {
2919
+ "epoch": 7.6688,
2920
+ "eval_coding_entropy": 1.2879135403633117,
2921
+ "eval_coding_loss": 2.5043892860412598,
2922
+ "eval_coding_mean_token_accuracy": 0.5054650387763977,
2923
+ "eval_coding_num_tokens": 39732063.0,
2924
+ "eval_coding_runtime": 80.6584,
2925
+ "eval_coding_samples_per_second": 6.199,
2926
+ "eval_coding_steps_per_second": 3.099,
2927
+ "step": 2400
2928
+ },
2929
+ {
2930
+ "epoch": 7.6688,
2931
+ "eval_physics_entropy": 0.8899753086566925,
2932
+ "eval_physics_loss": 1.2538994550704956,
2933
+ "eval_physics_mean_token_accuracy": 0.7139942421913147,
2934
+ "eval_physics_num_tokens": 39732063.0,
2935
+ "eval_physics_runtime": 51.2089,
2936
+ "eval_physics_samples_per_second": 9.764,
2937
+ "eval_physics_steps_per_second": 4.882,
2938
+ "step": 2400
2939
+ },
2940
+ {
2941
+ "entropy": 0.8204136060550808,
2942
+ "epoch": 7.7008,
2943
+ "grad_norm": 8.3125,
2944
+ "learning_rate": 1.686888888888889e-05,
2945
+ "loss": 0.7736,
2946
+ "mean_token_accuracy": 0.7871936142444611,
2947
+ "num_tokens": 39893958.0,
2948
+ "step": 2410
2949
+ },
2950
+ {
2951
+ "entropy": 0.8038571827113629,
2952
+ "epoch": 7.7328,
2953
+ "grad_norm": 9.0625,
2954
+ "learning_rate": 1.684666666666667e-05,
2955
+ "loss": 0.7666,
2956
+ "mean_token_accuracy": 0.7876993417739868,
2957
+ "num_tokens": 40056286.0,
2958
+ "step": 2420
2959
+ },
2960
+ {
2961
+ "entropy": 0.7649493917822838,
2962
+ "epoch": 7.7648,
2963
+ "grad_norm": 7.28125,
2964
+ "learning_rate": 1.6824444444444447e-05,
2965
+ "loss": 0.7237,
2966
+ "mean_token_accuracy": 0.7977251056581736,
2967
+ "num_tokens": 40224885.0,
2968
+ "step": 2430
2969
+ },
2970
+ {
2971
+ "entropy": 0.8389663999900222,
2972
+ "epoch": 7.7968,
2973
+ "grad_norm": 7.9375,
2974
+ "learning_rate": 1.6802222222222224e-05,
2975
+ "loss": 0.7836,
2976
+ "mean_token_accuracy": 0.7819656167179346,
2977
+ "num_tokens": 40386001.0,
2978
+ "step": 2440
2979
+ },
2980
+ {
2981
+ "entropy": 0.8192150767892599,
2982
+ "epoch": 7.8288,
2983
+ "grad_norm": 7.3125,
2984
+ "learning_rate": 1.6780000000000002e-05,
2985
+ "loss": 0.7741,
2986
+ "mean_token_accuracy": 0.7869136918336153,
2987
+ "num_tokens": 40550394.0,
2988
+ "step": 2450
2989
+ },
2990
+ {
2991
+ "entropy": 0.8238677924498916,
2992
+ "epoch": 7.8608,
2993
+ "grad_norm": 7.40625,
2994
+ "learning_rate": 1.675777777777778e-05,
2995
+ "loss": 0.7798,
2996
+ "mean_token_accuracy": 0.786088028550148,
2997
+ "num_tokens": 40714123.0,
2998
+ "step": 2460
2999
+ },
3000
+ {
3001
+ "entropy": 0.822707281820476,
3002
+ "epoch": 7.8928,
3003
+ "grad_norm": 7.75,
3004
+ "learning_rate": 1.6735555555555557e-05,
3005
+ "loss": 0.7852,
3006
+ "mean_token_accuracy": 0.7847356092184782,
3007
+ "num_tokens": 40878910.0,
3008
+ "step": 2470
3009
+ },
3010
+ {
3011
+ "entropy": 0.7849974310025573,
3012
+ "epoch": 7.9248,
3013
+ "grad_norm": 7.09375,
3014
+ "learning_rate": 1.6713333333333335e-05,
3015
+ "loss": 0.7509,
3016
+ "mean_token_accuracy": 0.7924100607633591,
3017
+ "num_tokens": 41048568.0,
3018
+ "step": 2480
3019
+ },
3020
+ {
3021
+ "entropy": 0.8023886883631348,
3022
+ "epoch": 7.9568,
3023
+ "grad_norm": 7.28125,
3024
+ "learning_rate": 1.6691111111111112e-05,
3025
+ "loss": 0.7632,
3026
+ "mean_token_accuracy": 0.7890365641564131,
3027
+ "num_tokens": 41215871.0,
3028
+ "step": 2490
3029
+ },
3030
+ {
3031
+ "entropy": 0.8149305360391736,
3032
+ "epoch": 7.9888,
3033
+ "grad_norm": 6.875,
3034
+ "learning_rate": 1.666888888888889e-05,
3035
+ "loss": 0.7698,
3036
+ "mean_token_accuracy": 0.7843944601714611,
3037
+ "num_tokens": 41389758.0,
3038
+ "step": 2500
3039
+ },
3040
+ {
3041
+ "epoch": 7.9888,
3042
+ "eval_coding_entropy": 1.306984958410263,
3043
+ "eval_coding_loss": 2.501882791519165,
3044
+ "eval_coding_mean_token_accuracy": 0.5061199169158935,
3045
+ "eval_coding_num_tokens": 41389758.0,
3046
+ "eval_coding_runtime": 80.3039,
3047
+ "eval_coding_samples_per_second": 6.226,
3048
+ "eval_coding_steps_per_second": 3.113,
3049
+ "step": 2500
3050
+ },
3051
+ {
3052
+ "epoch": 7.9888,
3053
+ "eval_physics_entropy": 0.8865963050127029,
3054
+ "eval_physics_loss": 1.246237874031067,
3055
+ "eval_physics_mean_token_accuracy": 0.7165059688091278,
3056
+ "eval_physics_num_tokens": 41389758.0,
3057
+ "eval_physics_runtime": 50.4383,
3058
+ "eval_physics_samples_per_second": 9.913,
3059
+ "eval_physics_steps_per_second": 4.957,
3060
+ "step": 2500
3061
+ }
3062
+ ],
3063
+ "logging_steps": 10,
3064
+ "max_steps": 10000,
3065
+ "num_input_tokens_seen": 0,
3066
+ "num_train_epochs": 32,
3067
+ "save_steps": 500,
3068
+ "stateful_callbacks": {
3069
+ "TrainerControl": {
3070
+ "args": {
3071
+ "should_epoch_stop": false,
3072
+ "should_evaluate": false,
3073
+ "should_log": false,
3074
+ "should_save": true,
3075
+ "should_training_stop": false
3076
+ },
3077
+ "attributes": {}
3078
+ }
3079
+ },
3080
+ "total_flos": 2.599915186815615e+18,
3081
+ "train_batch_size": 2,
3082
+ "trial_name": null,
3083
+ "trial_params": null
3084
+ }
checkpoint-2500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d83c1fc92689b78591cfacf5d391db2a2b258cc12a1565bf88bbb8100f92f13d
3
+ size 6353