KexuanShi commited on
Commit
a7f618c
·
verified ·
1 Parent(s): 3b4530b

Upload checkpoint-1134

Browse files
checkpoint-1134/config.json ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 2304,
17
+ "initializer_range": 0.02,
18
+ "intermediate_size": 9216,
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
+ ],
47
+ "max_position_embeddings": 8192,
48
+ "model_type": "gemma2",
49
+ "num_attention_heads": 8,
50
+ "num_hidden_layers": 26,
51
+ "num_key_value_heads": 4,
52
+ "pad_token_id": 0,
53
+ "query_pre_attn_scalar": 256,
54
+ "rms_norm_eps": 1e-06,
55
+ "rope_parameters": {
56
+ "rope_theta": 10000.0,
57
+ "rope_type": "default"
58
+ },
59
+ "sliding_window": 4096,
60
+ "tie_word_embeddings": true,
61
+ "transformers_version": "5.17.0",
62
+ "use_bidirectional_attention": null,
63
+ "use_cache": false,
64
+ "vocab_size": 256000
65
+ }
checkpoint-1134/generation_config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 2,
4
+ "cache_implementation": "hybrid",
5
+ "eos_token_id": [
6
+ 1
7
+ ],
8
+ "pad_token_id": 0,
9
+ "transformers_version": "5.17.0"
10
+ }
checkpoint-1134/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5cb5187a7b1ad26a73c6fc29242cbf213b00301d4ed21932385ac23741a78cd7
3
+ size 5228717512
checkpoint-1134/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:487cee8724215dcd2dde8888539e8b1bf844ceb5dbbe27f7845abda69eeb060f
3
+ size 34362872
checkpoint-1134/tokenizer_config.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "backend": "tokenizers",
3
+ "bos_token": "<bos>",
4
+ "clean_up_tokenization_spaces": false,
5
+ "eos_token": "<eos>",
6
+ "extra_special_tokens": [
7
+ "<start_of_turn>",
8
+ "<end_of_turn>"
9
+ ],
10
+ "is_local": true,
11
+ "local_files_only": false,
12
+ "mask_token": "<mask>",
13
+ "model_max_length": 1000000000000000019884624838656,
14
+ "pad_token": "<pad>",
15
+ "sp_model_kwargs": {},
16
+ "spaces_between_special_tokens": false,
17
+ "tokenizer_class": "GemmaTokenizer",
18
+ "unk_token": "<unk>",
19
+ "use_default_system_prompt": false
20
+ }
checkpoint-1134/trainer_state.json ADDED
@@ -0,0 +1,1164 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 6.0,
6
+ "eval_steps": 500,
7
+ "global_step": 1134,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "entropy": 2.961631564795971,
14
+ "epoch": 0.05291005291005291,
15
+ "grad_norm": 37.0,
16
+ "learning_rate": 3.2142857142857147e-06,
17
+ "loss": 3.414657974243164,
18
+ "mean_token_accuracy": 0.4348594455048442,
19
+ "num_tokens": 710093.0,
20
+ "step": 10
21
+ },
22
+ {
23
+ "entropy": 2.68032029569149,
24
+ "epoch": 0.10582010582010581,
25
+ "grad_norm": 21.875,
26
+ "learning_rate": 6.785714285714287e-06,
27
+ "loss": 2.987566375732422,
28
+ "mean_token_accuracy": 0.4721761476248503,
29
+ "num_tokens": 1429271.0,
30
+ "step": 20
31
+ },
32
+ {
33
+ "entropy": 1.8399402394890785,
34
+ "epoch": 0.15873015873015872,
35
+ "grad_norm": 6.90625,
36
+ "learning_rate": 1.0357142857142859e-05,
37
+ "loss": 1.9313663482666015,
38
+ "mean_token_accuracy": 0.5914886150509119,
39
+ "num_tokens": 2149735.0,
40
+ "step": 30
41
+ },
42
+ {
43
+ "entropy": 1.315066960453987,
44
+ "epoch": 0.21164021164021163,
45
+ "grad_norm": 2.65625,
46
+ "learning_rate": 1.3928571428571429e-05,
47
+ "loss": 1.364548397064209,
48
+ "mean_token_accuracy": 0.6834412924945354,
49
+ "num_tokens": 2868867.0,
50
+ "step": 40
51
+ },
52
+ {
53
+ "entropy": 1.0669520691037178,
54
+ "epoch": 0.26455026455026454,
55
+ "grad_norm": 1.984375,
56
+ "learning_rate": 1.7500000000000002e-05,
57
+ "loss": 1.0865763664245605,
58
+ "mean_token_accuracy": 0.7323449164628982,
59
+ "num_tokens": 3582476.0,
60
+ "step": 50
61
+ },
62
+ {
63
+ "entropy": 0.9911199904978275,
64
+ "epoch": 0.31746031746031744,
65
+ "grad_norm": 2.0625,
66
+ "learning_rate": 1.999986795783372e-05,
67
+ "loss": 1.0018372535705566,
68
+ "mean_token_accuracy": 0.7486573837697506,
69
+ "num_tokens": 4287689.0,
70
+ "step": 60
71
+ },
72
+ {
73
+ "entropy": 0.9219351679086685,
74
+ "epoch": 0.37037037037037035,
75
+ "grad_norm": 1.703125,
76
+ "learning_rate": 1.9997520638548385e-05,
77
+ "loss": 0.9412899017333984,
78
+ "mean_token_accuracy": 0.7611449956893921,
79
+ "num_tokens": 5011191.0,
80
+ "step": 70
81
+ },
82
+ {
83
+ "entropy": 0.8958804056048393,
84
+ "epoch": 0.42328042328042326,
85
+ "grad_norm": 1.5703125,
86
+ "learning_rate": 1.9992239841688418e-05,
87
+ "loss": 0.903989028930664,
88
+ "mean_token_accuracy": 0.7697657376527787,
89
+ "num_tokens": 5714842.0,
90
+ "step": 80
91
+ },
92
+ {
93
+ "entropy": 0.8621860913932323,
94
+ "epoch": 0.47619047619047616,
95
+ "grad_norm": 1.6484375,
96
+ "learning_rate": 1.9984027116747914e-05,
97
+ "loss": 0.8682960510253906,
98
+ "mean_token_accuracy": 0.7767987586557865,
99
+ "num_tokens": 6424614.0,
100
+ "step": 90
101
+ },
102
+ {
103
+ "entropy": 0.8519016958773136,
104
+ "epoch": 0.5291005291005291,
105
+ "grad_norm": 1.6484375,
106
+ "learning_rate": 1.997288487350878e-05,
107
+ "loss": 0.8630915641784668,
108
+ "mean_token_accuracy": 0.7774669796228408,
109
+ "num_tokens": 7139778.0,
110
+ "step": 100
111
+ },
112
+ {
113
+ "entropy": 0.8354873709380627,
114
+ "epoch": 0.582010582010582,
115
+ "grad_norm": 1.546875,
116
+ "learning_rate": 1.9958816381333684e-05,
117
+ "loss": 0.8412243843078613,
118
+ "mean_token_accuracy": 0.7815381772816181,
119
+ "num_tokens": 7852540.0,
120
+ "step": 110
121
+ },
122
+ {
123
+ "entropy": 0.816736352443695,
124
+ "epoch": 0.6349206349206349,
125
+ "grad_norm": 1.4609375,
126
+ "learning_rate": 1.994182576820673e-05,
127
+ "loss": 0.8229312896728516,
128
+ "mean_token_accuracy": 0.7848087482154369,
129
+ "num_tokens": 8568056.0,
130
+ "step": 120
131
+ },
132
+ {
133
+ "entropy": 0.8098116122186184,
134
+ "epoch": 0.6878306878306878,
135
+ "grad_norm": 1.6953125,
136
+ "learning_rate": 1.9921918019522238e-05,
137
+ "loss": 0.8195478439331054,
138
+ "mean_token_accuracy": 0.786376665532589,
139
+ "num_tokens": 9276742.0,
140
+ "step": 130
141
+ },
142
+ {
143
+ "entropy": 0.7951123341917992,
144
+ "epoch": 0.7407407407407407,
145
+ "grad_norm": 1.515625,
146
+ "learning_rate": 1.9899098976621922e-05,
147
+ "loss": 0.8003520965576172,
148
+ "mean_token_accuracy": 0.7903904721140862,
149
+ "num_tokens": 9990163.0,
150
+ "step": 140
151
+ },
152
+ {
153
+ "entropy": 0.7919679537415505,
154
+ "epoch": 0.7936507936507936,
155
+ "grad_norm": 1.8671875,
156
+ "learning_rate": 1.9873375335080915e-05,
157
+ "loss": 0.7965619087219238,
158
+ "mean_token_accuracy": 0.7903877586126328,
159
+ "num_tokens": 10710006.0,
160
+ "step": 150
161
+ },
162
+ {
163
+ "entropy": 0.7846287094056607,
164
+ "epoch": 0.8465608465608465,
165
+ "grad_norm": 1.4453125,
166
+ "learning_rate": 1.9844754642743164e-05,
167
+ "loss": 0.7887547016143799,
168
+ "mean_token_accuracy": 0.7923174299299717,
169
+ "num_tokens": 11416822.0,
170
+ "step": 160
171
+ },
172
+ {
173
+ "entropy": 0.787412092834711,
174
+ "epoch": 0.8994708994708994,
175
+ "grad_norm": 1.3125,
176
+ "learning_rate": 1.981324529750672e-05,
177
+ "loss": 0.7970062732696533,
178
+ "mean_token_accuracy": 0.7903717122972012,
179
+ "num_tokens": 12123118.0,
180
+ "step": 170
181
+ },
182
+ {
183
+ "entropy": 0.7589369006454945,
184
+ "epoch": 0.9523809523809523,
185
+ "grad_norm": 1.5,
186
+ "learning_rate": 1.9778856544859647e-05,
187
+ "loss": 0.7599987030029297,
188
+ "mean_token_accuracy": 0.7979414351284504,
189
+ "num_tokens": 12831058.0,
190
+ "step": 180
191
+ },
192
+ {
193
+ "entropy": 0.7580704741179943,
194
+ "epoch": 1.0052910052910053,
195
+ "grad_norm": 1.3515625,
196
+ "learning_rate": 1.9741598475167173e-05,
197
+ "loss": 0.7588405609130859,
198
+ "mean_token_accuracy": 0.7996042884886265,
199
+ "num_tokens": 13547943.0,
200
+ "step": 190
201
+ },
202
+ {
203
+ "entropy": 0.7310580350458622,
204
+ "epoch": 1.0582010582010581,
205
+ "grad_norm": 1.4765625,
206
+ "learning_rate": 1.9701482020711004e-05,
207
+ "loss": 0.7377434730529785,
208
+ "mean_token_accuracy": 0.8026577197015285,
209
+ "num_tokens": 14264772.0,
210
+ "step": 200
211
+ },
212
+ {
213
+ "entropy": 0.7363193772733212,
214
+ "epoch": 1.1111111111111112,
215
+ "grad_norm": 1.3203125,
216
+ "learning_rate": 1.9658518952481543e-05,
217
+ "loss": 0.7403535842895508,
218
+ "mean_token_accuracy": 0.8024087257683277,
219
+ "num_tokens": 14985565.0,
220
+ "step": 210
221
+ },
222
+ {
223
+ "entropy": 0.7300132818520069,
224
+ "epoch": 1.164021164021164,
225
+ "grad_norm": 1.3828125,
226
+ "learning_rate": 1.9612721876724054e-05,
227
+ "loss": 0.7335801124572754,
228
+ "mean_token_accuracy": 0.8039513885974884,
229
+ "num_tokens": 15701796.0,
230
+ "step": 220
231
+ },
232
+ {
233
+ "entropy": 0.7273651890456676,
234
+ "epoch": 1.216931216931217,
235
+ "grad_norm": 1.40625,
236
+ "learning_rate": 1.9564104231239726e-05,
237
+ "loss": 0.7306139469146729,
238
+ "mean_token_accuracy": 0.8031473867595196,
239
+ "num_tokens": 16412522.0,
240
+ "step": 230
241
+ },
242
+ {
243
+ "entropy": 0.7269332259893417,
244
+ "epoch": 1.2698412698412698,
245
+ "grad_norm": 1.5,
246
+ "learning_rate": 1.9512680281442745e-05,
247
+ "loss": 0.7315571308135986,
248
+ "mean_token_accuracy": 0.804153886437416,
249
+ "num_tokens": 17126523.0,
250
+ "step": 240
251
+ },
252
+ {
253
+ "entropy": 0.7240817807614803,
254
+ "epoch": 1.3227513227513228,
255
+ "grad_norm": 1.34375,
256
+ "learning_rate": 1.9458465116174534e-05,
257
+ "loss": 0.7265042781829834,
258
+ "mean_token_accuracy": 0.8053628757596016,
259
+ "num_tokens": 17834934.0,
260
+ "step": 250
261
+ },
262
+ {
263
+ "entropy": 0.7229904316365718,
264
+ "epoch": 1.3756613756613756,
265
+ "grad_norm": 1.5078125,
266
+ "learning_rate": 1.940147464327637e-05,
267
+ "loss": 0.7304715156555176,
268
+ "mean_token_accuracy": 0.8046498209238052,
269
+ "num_tokens": 18553413.0,
270
+ "step": 260
271
+ },
272
+ {
273
+ "entropy": 0.7136867262423039,
274
+ "epoch": 1.4285714285714286,
275
+ "grad_norm": 1.3984375,
276
+ "learning_rate": 1.9341725584921712e-05,
277
+ "loss": 0.7197102546691895,
278
+ "mean_token_accuracy": 0.8071116916835308,
279
+ "num_tokens": 19270191.0,
280
+ "step": 270
281
+ },
282
+ {
283
+ "entropy": 0.7036095522344112,
284
+ "epoch": 1.4814814814814814,
285
+ "grad_norm": 1.375,
286
+ "learning_rate": 1.9279235472709554e-05,
287
+ "loss": 0.7028598785400391,
288
+ "mean_token_accuracy": 0.8090868189930915,
289
+ "num_tokens": 19976552.0,
290
+ "step": 280
291
+ },
292
+ {
293
+ "entropy": 0.716102697700262,
294
+ "epoch": 1.5343915343915344,
295
+ "grad_norm": 1.359375,
296
+ "learning_rate": 1.92140226425203e-05,
297
+ "loss": 0.7210822105407715,
298
+ "mean_token_accuracy": 0.8061651162803173,
299
+ "num_tokens": 20676613.0,
300
+ "step": 290
301
+ },
302
+ {
303
+ "entropy": 0.7108397655189037,
304
+ "epoch": 1.5873015873015874,
305
+ "grad_norm": 1.421875,
306
+ "learning_rate": 1.914610622913566e-05,
307
+ "loss": 0.7198187828063964,
308
+ "mean_token_accuracy": 0.8068007662892341,
309
+ "num_tokens": 21385978.0,
310
+ "step": 300
311
+ },
312
+ {
313
+ "entropy": 0.7059788055717945,
314
+ "epoch": 1.6402116402116402,
315
+ "grad_norm": 1.4296875,
316
+ "learning_rate": 1.9075506160624068e-05,
317
+ "loss": 0.712452507019043,
318
+ "mean_token_accuracy": 0.8080652669072151,
319
+ "num_tokens": 22094336.0,
320
+ "step": 310
321
+ },
322
+ {
323
+ "entropy": 0.6891738481819629,
324
+ "epoch": 1.693121693121693,
325
+ "grad_norm": 1.2890625,
326
+ "learning_rate": 1.900224315249343e-05,
327
+ "loss": 0.6894668579101563,
328
+ "mean_token_accuracy": 0.8126135811209678,
329
+ "num_tokens": 22798906.0,
330
+ "step": 320
331
+ },
332
+ {
333
+ "entropy": 0.6981304191052914,
334
+ "epoch": 1.746031746031746,
335
+ "grad_norm": 1.3046875,
336
+ "learning_rate": 1.8926338701612738e-05,
337
+ "loss": 0.6995977401733399,
338
+ "mean_token_accuracy": 0.8106051124632359,
339
+ "num_tokens": 23511239.0,
340
+ "step": 330
341
+ },
342
+ {
343
+ "entropy": 0.7145946308970451,
344
+ "epoch": 1.798941798941799,
345
+ "grad_norm": 1.53125,
346
+ "learning_rate": 1.884781507990445e-05,
347
+ "loss": 0.7227201461791992,
348
+ "mean_token_accuracy": 0.8075091950595379,
349
+ "num_tokens": 24231185.0,
350
+ "step": 340
351
+ },
352
+ {
353
+ "entropy": 0.6977549403905868,
354
+ "epoch": 1.8518518518518519,
355
+ "grad_norm": 1.328125,
356
+ "learning_rate": 1.8766695327809463e-05,
357
+ "loss": 0.7001574516296387,
358
+ "mean_token_accuracy": 0.8110232800245285,
359
+ "num_tokens": 24944285.0,
360
+ "step": 350
361
+ },
362
+ {
363
+ "entropy": 0.6864141449332237,
364
+ "epoch": 1.9047619047619047,
365
+ "grad_norm": 1.4140625,
366
+ "learning_rate": 1.8683003247526567e-05,
367
+ "loss": 0.6919449806213379,
368
+ "mean_token_accuracy": 0.8123873800039292,
369
+ "num_tokens": 25670441.0,
370
+ "step": 360
371
+ },
372
+ {
373
+ "entropy": 0.6988187648355961,
374
+ "epoch": 1.9576719576719577,
375
+ "grad_norm": 1.328125,
376
+ "learning_rate": 1.8596763396028384e-05,
377
+ "loss": 0.7042366027832031,
378
+ "mean_token_accuracy": 0.8103295296430588,
379
+ "num_tokens": 26379786.0,
380
+ "step": 370
381
+ },
382
+ {
383
+ "entropy": 0.6846350051462651,
384
+ "epoch": 2.0105820105820107,
385
+ "grad_norm": 1.3125,
386
+ "learning_rate": 1.8508001077855876e-05,
387
+ "loss": 0.6828127861022949,
388
+ "mean_token_accuracy": 0.8147809013724328,
389
+ "num_tokens": 27097166.0,
390
+ "step": 380
391
+ },
392
+ {
393
+ "entropy": 0.6520826548337937,
394
+ "epoch": 2.0634920634920633,
395
+ "grad_norm": 1.2890625,
396
+ "learning_rate": 1.8416742337693436e-05,
397
+ "loss": 0.6539791107177735,
398
+ "mean_token_accuracy": 0.8201325155794621,
399
+ "num_tokens": 27818991.0,
400
+ "step": 390
401
+ },
402
+ {
403
+ "entropy": 0.6595748387277126,
404
+ "epoch": 2.1164021164021163,
405
+ "grad_norm": 1.515625,
406
+ "learning_rate": 1.8323013952726877e-05,
407
+ "loss": 0.6604544639587402,
408
+ "mean_token_accuracy": 0.8178910993039608,
409
+ "num_tokens": 28524822.0,
410
+ "step": 400
411
+ },
412
+ {
413
+ "entropy": 0.6458595909178257,
414
+ "epoch": 2.1693121693121693,
415
+ "grad_norm": 1.3671875,
416
+ "learning_rate": 1.8226843424786434e-05,
417
+ "loss": 0.6502902984619141,
418
+ "mean_token_accuracy": 0.8199047416448593,
419
+ "num_tokens": 29245634.0,
420
+ "step": 410
421
+ },
422
+ {
423
+ "entropy": 0.6555904000997543,
424
+ "epoch": 2.2222222222222223,
425
+ "grad_norm": 1.3125,
426
+ "learning_rate": 1.8128258972277176e-05,
427
+ "loss": 0.6557448387145997,
428
+ "mean_token_accuracy": 0.8196609579026699,
429
+ "num_tokens": 29967135.0,
430
+ "step": 420
431
+ },
432
+ {
433
+ "entropy": 0.6628798440098762,
434
+ "epoch": 2.2751322751322753,
435
+ "grad_norm": 1.4453125,
436
+ "learning_rate": 1.8027289521899143e-05,
437
+ "loss": 0.6660602569580079,
438
+ "mean_token_accuracy": 0.8170774318277836,
439
+ "num_tokens": 30680274.0,
440
+ "step": 430
441
+ },
442
+ {
443
+ "entropy": 0.6558427393436432,
444
+ "epoch": 2.328042328042328,
445
+ "grad_norm": 1.2734375,
446
+ "learning_rate": 1.7923964700159658e-05,
447
+ "loss": 0.6595181465148926,
448
+ "mean_token_accuracy": 0.8196531683206558,
449
+ "num_tokens": 31386859.0,
450
+ "step": 440
451
+ },
452
+ {
453
+ "entropy": 0.6561373583972454,
454
+ "epoch": 2.380952380952381,
455
+ "grad_norm": 1.3828125,
456
+ "learning_rate": 1.78183148246803e-05,
457
+ "loss": 0.658083152770996,
458
+ "mean_token_accuracy": 0.8189397811889648,
459
+ "num_tokens": 32111007.0,
460
+ "step": 450
461
+ },
462
+ {
463
+ "entropy": 0.6530930824577809,
464
+ "epoch": 2.433862433862434,
465
+ "grad_norm": 1.4765625,
466
+ "learning_rate": 1.77103708953011e-05,
467
+ "loss": 0.656781816482544,
468
+ "mean_token_accuracy": 0.8194618344306945,
469
+ "num_tokens": 32819180.0,
470
+ "step": 460
471
+ },
472
+ {
473
+ "entropy": 0.6579011715948582,
474
+ "epoch": 2.4867724867724865,
475
+ "grad_norm": 1.2578125,
476
+ "learning_rate": 1.7600164584984548e-05,
477
+ "loss": 0.6578071594238282,
478
+ "mean_token_accuracy": 0.8188325464725494,
479
+ "num_tokens": 33523113.0,
480
+ "step": 470
481
+ },
482
+ {
483
+ "entropy": 0.6502429388463498,
484
+ "epoch": 2.5396825396825395,
485
+ "grad_norm": 1.3515625,
486
+ "learning_rate": 1.7487728230522085e-05,
487
+ "loss": 0.6535434722900391,
488
+ "mean_token_accuracy": 0.8208725921809673,
489
+ "num_tokens": 34240357.0,
490
+ "step": 480
491
+ },
492
+ {
493
+ "entropy": 0.6465963438153267,
494
+ "epoch": 2.5925925925925926,
495
+ "grad_norm": 1.3515625,
496
+ "learning_rate": 1.737309482304585e-05,
497
+ "loss": 0.6498763084411621,
498
+ "mean_token_accuracy": 0.821516727656126,
499
+ "num_tokens": 34958032.0,
500
+ "step": 490
501
+ },
502
+ {
503
+ "entropy": 0.6473522856831551,
504
+ "epoch": 2.6455026455026456,
505
+ "grad_norm": 1.3515625,
506
+ "learning_rate": 1.7256297998348388e-05,
507
+ "loss": 0.6505583763122559,
508
+ "mean_token_accuracy": 0.8211475618183612,
509
+ "num_tokens": 35658658.0,
510
+ "step": 500
511
+ },
512
+ {
513
+ "entropy": 0.6565315008163453,
514
+ "epoch": 2.6984126984126986,
515
+ "grad_norm": 1.4140625,
516
+ "learning_rate": 1.7137372027013212e-05,
517
+ "loss": 0.6598291397094727,
518
+ "mean_token_accuracy": 0.8183600060641766,
519
+ "num_tokens": 36364754.0,
520
+ "step": 510
521
+ },
522
+ {
523
+ "entropy": 0.6542541973292828,
524
+ "epoch": 2.751322751322751,
525
+ "grad_norm": 1.2890625,
526
+ "learning_rate": 1.7016351804359134e-05,
527
+ "loss": 0.6558931827545166,
528
+ "mean_token_accuracy": 0.820868706703186,
529
+ "num_tokens": 37074678.0,
530
+ "step": 520
531
+ },
532
+ {
533
+ "entropy": 0.6618583984673023,
534
+ "epoch": 2.804232804232804,
535
+ "grad_norm": 1.4375,
536
+ "learning_rate": 1.6893272840201243e-05,
537
+ "loss": 0.6607325553894043,
538
+ "mean_token_accuracy": 0.8187017820775508,
539
+ "num_tokens": 37787128.0,
540
+ "step": 530
541
+ },
542
+ {
543
+ "entropy": 0.6450109876692295,
544
+ "epoch": 2.857142857142857,
545
+ "grad_norm": 1.390625,
546
+ "learning_rate": 1.6768171248431603e-05,
547
+ "loss": 0.6493658065795899,
548
+ "mean_token_accuracy": 0.8208952791988849,
549
+ "num_tokens": 38504013.0,
550
+ "step": 540
551
+ },
552
+ {
553
+ "entropy": 0.6399648249149322,
554
+ "epoch": 2.91005291005291,
555
+ "grad_norm": 1.4453125,
556
+ "learning_rate": 1.66410837364227e-05,
557
+ "loss": 0.6415593147277832,
558
+ "mean_token_accuracy": 0.8226414546370506,
559
+ "num_tokens": 39212782.0,
560
+ "step": 550
561
+ },
562
+ {
563
+ "entropy": 0.6446338936686515,
564
+ "epoch": 2.962962962962963,
565
+ "grad_norm": 1.390625,
566
+ "learning_rate": 1.651204759425674e-05,
567
+ "loss": 0.6467597007751464,
568
+ "mean_token_accuracy": 0.822068239748478,
569
+ "num_tokens": 39931947.0,
570
+ "step": 560
571
+ },
572
+ {
573
+ "entropy": 0.6519015111029148,
574
+ "epoch": 3.015873015873016,
575
+ "grad_norm": 1.65625,
576
+ "learning_rate": 1.6381100683783984e-05,
577
+ "loss": 0.6495416641235352,
578
+ "mean_token_accuracy": 0.8214401297271252,
579
+ "num_tokens": 40643225.0,
580
+ "step": 570
581
+ },
582
+ {
583
+ "entropy": 0.6235358692705631,
584
+ "epoch": 3.068783068783069,
585
+ "grad_norm": 1.3203125,
586
+ "learning_rate": 1.6248281427513293e-05,
587
+ "loss": 0.6290417671203613,
588
+ "mean_token_accuracy": 0.8248508743941784,
589
+ "num_tokens": 41359577.0,
590
+ "step": 580
591
+ },
592
+ {
593
+ "entropy": 0.6279302626848221,
594
+ "epoch": 3.121693121693122,
595
+ "grad_norm": 1.3828125,
596
+ "learning_rate": 1.6113628797338182e-05,
597
+ "loss": 0.62760910987854,
598
+ "mean_token_accuracy": 0.8258996732532978,
599
+ "num_tokens": 42068599.0,
600
+ "step": 590
601
+ },
602
+ {
603
+ "entropy": 0.6285111606121063,
604
+ "epoch": 3.1746031746031744,
605
+ "grad_norm": 1.2578125,
606
+ "learning_rate": 1.597718230310167e-05,
607
+ "loss": 0.6302815437316894,
608
+ "mean_token_accuracy": 0.8256399400532246,
609
+ "num_tokens": 42785175.0,
610
+ "step": 600
611
+ },
612
+ {
613
+ "entropy": 0.6026831187307835,
614
+ "epoch": 3.2275132275132274,
615
+ "grad_norm": 1.2421875,
616
+ "learning_rate": 1.5838981981003273e-05,
617
+ "loss": 0.6043402671813964,
618
+ "mean_token_accuracy": 0.8310895174741745,
619
+ "num_tokens": 43504295.0,
620
+ "step": 610
621
+ },
622
+ {
623
+ "entropy": 0.6095856722444296,
624
+ "epoch": 3.2804232804232805,
625
+ "grad_norm": 1.328125,
626
+ "learning_rate": 1.5699068381851576e-05,
627
+ "loss": 0.6121260643005371,
628
+ "mean_token_accuracy": 0.8288436524569989,
629
+ "num_tokens": 44210262.0,
630
+ "step": 620
631
+ },
632
+ {
633
+ "entropy": 0.6268397398293019,
634
+ "epoch": 3.3333333333333335,
635
+ "grad_norm": 1.359375,
636
+ "learning_rate": 1.5557482559165777e-05,
637
+ "loss": 0.6273800373077393,
638
+ "mean_token_accuracy": 0.8257726937532425,
639
+ "num_tokens": 44921899.0,
640
+ "step": 630
641
+ },
642
+ {
643
+ "entropy": 0.6130324799567461,
644
+ "epoch": 3.386243386243386,
645
+ "grad_norm": 1.2265625,
646
+ "learning_rate": 1.541426605712975e-05,
647
+ "loss": 0.6151331901550293,
648
+ "mean_token_accuracy": 0.8280435480177403,
649
+ "num_tokens": 45631735.0,
650
+ "step": 640
651
+ },
652
+ {
653
+ "entropy": 0.6239284582436084,
654
+ "epoch": 3.439153439153439,
655
+ "grad_norm": 1.328125,
656
+ "learning_rate": 1.526946089840214e-05,
657
+ "loss": 0.6226998329162597,
658
+ "mean_token_accuracy": 0.8254561886191368,
659
+ "num_tokens": 46339604.0,
660
+ "step": 650
661
+ },
662
+ {
663
+ "entropy": 0.6176637753844261,
664
+ "epoch": 3.492063492063492,
665
+ "grad_norm": 2.640625,
666
+ "learning_rate": 1.5123109571786034e-05,
667
+ "loss": 0.6186460971832275,
668
+ "mean_token_accuracy": 0.82830960303545,
669
+ "num_tokens": 47060193.0,
670
+ "step": 660
671
+ },
672
+ {
673
+ "entropy": 0.6228313788771629,
674
+ "epoch": 3.544973544973545,
675
+ "grad_norm": 1.265625,
676
+ "learning_rate": 1.4975255019761896e-05,
677
+ "loss": 0.6256577491760253,
678
+ "mean_token_accuracy": 0.8251520521938801,
679
+ "num_tokens": 47768090.0,
680
+ "step": 670
681
+ },
682
+ {
683
+ "entropy": 0.6073577616363763,
684
+ "epoch": 3.597883597883598,
685
+ "grad_norm": 1.2890625,
686
+ "learning_rate": 1.4825940625887343e-05,
687
+ "loss": 0.608558177947998,
688
+ "mean_token_accuracy": 0.8303223170340062,
689
+ "num_tokens": 48486016.0,
690
+ "step": 680
691
+ },
692
+ {
693
+ "entropy": 0.6105879176408052,
694
+ "epoch": 3.6507936507936507,
695
+ "grad_norm": 1.2578125,
696
+ "learning_rate": 1.467521020206753e-05,
697
+ "loss": 0.6111472129821778,
698
+ "mean_token_accuracy": 0.8288198597729206,
699
+ "num_tokens": 49196144.0,
700
+ "step": 690
701
+ },
702
+ {
703
+ "entropy": 0.6225075088441372,
704
+ "epoch": 3.7037037037037037,
705
+ "grad_norm": 1.3671875,
706
+ "learning_rate": 1.4523107975699833e-05,
707
+ "loss": 0.6227302551269531,
708
+ "mean_token_accuracy": 0.8270458020269871,
709
+ "num_tokens": 49912021.0,
710
+ "step": 700
711
+ },
712
+ {
713
+ "entropy": 0.6129852499812841,
714
+ "epoch": 3.7566137566137567,
715
+ "grad_norm": 1.21875,
716
+ "learning_rate": 1.4369678576696633e-05,
717
+ "loss": 0.616145133972168,
718
+ "mean_token_accuracy": 0.8275811091065407,
719
+ "num_tokens": 50634262.0,
720
+ "step": 710
721
+ },
722
+ {
723
+ "entropy": 0.6109543219208717,
724
+ "epoch": 3.8095238095238093,
725
+ "grad_norm": 1.2890625,
726
+ "learning_rate": 1.4214967024389978e-05,
727
+ "loss": 0.6092634677886963,
728
+ "mean_token_accuracy": 0.8294319190084934,
729
+ "num_tokens": 51343452.0,
730
+ "step": 720
731
+ },
732
+ {
733
+ "entropy": 0.6103949204087258,
734
+ "epoch": 3.8624338624338623,
735
+ "grad_norm": 1.2890625,
736
+ "learning_rate": 1.4059018714321986e-05,
737
+ "loss": 0.6095344066619873,
738
+ "mean_token_accuracy": 0.8291715182363987,
739
+ "num_tokens": 52046363.0,
740
+ "step": 730
741
+ },
742
+ {
743
+ "entropy": 0.6032329283654689,
744
+ "epoch": 3.9153439153439153,
745
+ "grad_norm": 1.28125,
746
+ "learning_rate": 1.390187940492486e-05,
747
+ "loss": 0.6063249588012696,
748
+ "mean_token_accuracy": 0.830570637434721,
749
+ "num_tokens": 52755135.0,
750
+ "step": 740
751
+ },
752
+ {
753
+ "entropy": 0.5983160465955735,
754
+ "epoch": 3.9682539682539684,
755
+ "grad_norm": 1.2109375,
756
+ "learning_rate": 1.3743595204094442e-05,
757
+ "loss": 0.5990692138671875,
758
+ "mean_token_accuracy": 0.8316747449338436,
759
+ "num_tokens": 53473566.0,
760
+ "step": 750
761
+ },
762
+ {
763
+ "entropy": 0.5978753294795751,
764
+ "epoch": 4.021164021164021,
765
+ "grad_norm": 1.203125,
766
+ "learning_rate": 1.3584212555661187e-05,
767
+ "loss": 0.5931243896484375,
768
+ "mean_token_accuracy": 0.833243765681982,
769
+ "num_tokens": 54190492.0,
770
+ "step": 760
771
+ },
772
+ {
773
+ "entropy": 0.5927798122167587,
774
+ "epoch": 4.074074074074074,
775
+ "grad_norm": 1.2734375,
776
+ "learning_rate": 1.3423778225762609e-05,
777
+ "loss": 0.5956585884094239,
778
+ "mean_token_accuracy": 0.8326095908880233,
779
+ "num_tokens": 54897936.0,
780
+ "step": 770
781
+ },
782
+ {
783
+ "entropy": 0.5964819733053446,
784
+ "epoch": 4.1269841269841265,
785
+ "grad_norm": 1.3203125,
786
+ "learning_rate": 1.3262339289121129e-05,
787
+ "loss": 0.5986158847808838,
788
+ "mean_token_accuracy": 0.8313788689672947,
789
+ "num_tokens": 55609388.0,
790
+ "step": 780
791
+ },
792
+ {
793
+ "entropy": 0.5928852215409279,
794
+ "epoch": 4.1798941798941796,
795
+ "grad_norm": 1.2890625,
796
+ "learning_rate": 1.3099943115231386e-05,
797
+ "loss": 0.5939154148101806,
798
+ "mean_token_accuracy": 0.8326825730502605,
799
+ "num_tokens": 56329299.0,
800
+ "step": 790
801
+ },
802
+ {
803
+ "entropy": 0.5908802170306444,
804
+ "epoch": 4.232804232804233,
805
+ "grad_norm": 1.28125,
806
+ "learning_rate": 1.2936637354461064e-05,
807
+ "loss": 0.5890358924865723,
808
+ "mean_token_accuracy": 0.8333992123603821,
809
+ "num_tokens": 57042704.0,
810
+ "step": 800
811
+ },
812
+ {
813
+ "entropy": 0.5940023452043534,
814
+ "epoch": 4.285714285714286,
815
+ "grad_norm": 1.3125,
816
+ "learning_rate": 1.2772469924069285e-05,
817
+ "loss": 0.5959939002990723,
818
+ "mean_token_accuracy": 0.8325416699051857,
819
+ "num_tokens": 57755769.0,
820
+ "step": 810
821
+ },
822
+ {
823
+ "entropy": 0.59011813364923,
824
+ "epoch": 4.338624338624339,
825
+ "grad_norm": 1.2421875,
826
+ "learning_rate": 1.2607488994146703e-05,
827
+ "loss": 0.5888036727905274,
828
+ "mean_token_accuracy": 0.83399997651577,
829
+ "num_tokens": 58467967.0,
830
+ "step": 820
831
+ },
832
+ {
833
+ "entropy": 0.6021874897181988,
834
+ "epoch": 4.391534391534392,
835
+ "grad_norm": 1.2734375,
836
+ "learning_rate": 1.2441742973481432e-05,
837
+ "loss": 0.606382179260254,
838
+ "mean_token_accuracy": 0.8303363271057606,
839
+ "num_tokens": 59188579.0,
840
+ "step": 830
841
+ },
842
+ {
843
+ "entropy": 0.5849491123110055,
844
+ "epoch": 4.444444444444445,
845
+ "grad_norm": 1.28125,
846
+ "learning_rate": 1.2275280495354889e-05,
847
+ "loss": 0.5840800285339356,
848
+ "mean_token_accuracy": 0.8359167717397213,
849
+ "num_tokens": 59899589.0,
850
+ "step": 840
851
+ },
852
+ {
853
+ "entropy": 0.5860148169100284,
854
+ "epoch": 4.497354497354498,
855
+ "grad_norm": 1.3125,
856
+ "learning_rate": 1.21081504032718e-05,
857
+ "loss": 0.5868220329284668,
858
+ "mean_token_accuracy": 0.8345484808087349,
859
+ "num_tokens": 60620913.0,
860
+ "step": 850
861
+ },
862
+ {
863
+ "entropy": 0.5894476883113384,
864
+ "epoch": 4.550264550264551,
865
+ "grad_norm": 1.3359375,
866
+ "learning_rate": 1.1940401736628524e-05,
867
+ "loss": 0.5873554229736329,
868
+ "mean_token_accuracy": 0.8340311080217362,
869
+ "num_tokens": 61330675.0,
870
+ "step": 860
871
+ },
872
+ {
873
+ "entropy": 0.5952170636504889,
874
+ "epoch": 4.603174603174603,
875
+ "grad_norm": 1.3984375,
876
+ "learning_rate": 1.1772083716323878e-05,
877
+ "loss": 0.5960660934448242,
878
+ "mean_token_accuracy": 0.8311950400471687,
879
+ "num_tokens": 62041645.0,
880
+ "step": 870
881
+ },
882
+ {
883
+ "entropy": 0.591047377511859,
884
+ "epoch": 4.656084656084656,
885
+ "grad_norm": 1.28125,
886
+ "learning_rate": 1.1603245730316724e-05,
887
+ "loss": 0.5910706520080566,
888
+ "mean_token_accuracy": 0.8324602991342545,
889
+ "num_tokens": 62750446.0,
890
+ "step": 880
891
+ },
892
+ {
893
+ "entropy": 0.583647707104683,
894
+ "epoch": 4.708994708994709,
895
+ "grad_norm": 1.359375,
896
+ "learning_rate": 1.1433937319134512e-05,
897
+ "loss": 0.5823469161987305,
898
+ "mean_token_accuracy": 0.835607772320509,
899
+ "num_tokens": 63460008.0,
900
+ "step": 890
901
+ },
902
+ {
903
+ "entropy": 0.5815492067486048,
904
+ "epoch": 4.761904761904762,
905
+ "grad_norm": 1.3203125,
906
+ "learning_rate": 1.1264208161337091e-05,
907
+ "loss": 0.5845518112182617,
908
+ "mean_token_accuracy": 0.8349362075328827,
909
+ "num_tokens": 64164803.0,
910
+ "step": 900
911
+ },
912
+ {
913
+ "entropy": 0.5895786888897419,
914
+ "epoch": 4.814814814814815,
915
+ "grad_norm": 1.3203125,
916
+ "learning_rate": 1.1094108058940005e-05,
917
+ "loss": 0.5885090827941895,
918
+ "mean_token_accuracy": 0.8332687266170978,
919
+ "num_tokens": 64878163.0,
920
+ "step": 910
921
+ },
922
+ {
923
+ "entropy": 0.5861702430993319,
924
+ "epoch": 4.867724867724868,
925
+ "grad_norm": 1.265625,
926
+ "learning_rate": 1.0923686922801537e-05,
927
+ "loss": 0.5883007049560547,
928
+ "mean_token_accuracy": 0.8344706572592259,
929
+ "num_tokens": 65599878.0,
930
+ "step": 920
931
+ },
932
+ {
933
+ "entropy": 0.577086403593421,
934
+ "epoch": 4.920634920634921,
935
+ "grad_norm": 1.3046875,
936
+ "learning_rate": 1.0752994757977862e-05,
937
+ "loss": 0.575294017791748,
938
+ "mean_token_accuracy": 0.8364286012947559,
939
+ "num_tokens": 66312478.0,
940
+ "step": 930
941
+ },
942
+ {
943
+ "entropy": 0.580839442834258,
944
+ "epoch": 4.973544973544973,
945
+ "grad_norm": 1.234375,
946
+ "learning_rate": 1.058208164905052e-05,
947
+ "loss": 0.5833872318267822,
948
+ "mean_token_accuracy": 0.8350156374275685,
949
+ "num_tokens": 67026652.0,
950
+ "step": 940
951
+ },
952
+ {
953
+ "entropy": 0.57722695954144,
954
+ "epoch": 5.026455026455026,
955
+ "grad_norm": 1.3984375,
956
+ "learning_rate": 1.041099774543059e-05,
957
+ "loss": 0.5721875667572022,
958
+ "mean_token_accuracy": 0.837412741780281,
959
+ "num_tokens": 67743837.0,
960
+ "step": 950
961
+ },
962
+ {
963
+ "entropy": 0.5689107570797205,
964
+ "epoch": 5.079365079365079,
965
+ "grad_norm": 1.3671875,
966
+ "learning_rate": 1.023979324664382e-05,
967
+ "loss": 0.5704532623291015,
968
+ "mean_token_accuracy": 0.8376903526484967,
969
+ "num_tokens": 68459077.0,
970
+ "step": 960
971
+ },
972
+ {
973
+ "entropy": 0.566339960321784,
974
+ "epoch": 5.132275132275132,
975
+ "grad_norm": 1.3203125,
976
+ "learning_rate": 1.0068518387601038e-05,
977
+ "loss": 0.5641752243041992,
978
+ "mean_token_accuracy": 0.8387337259948253,
979
+ "num_tokens": 69175886.0,
980
+ "step": 970
981
+ },
982
+ {
983
+ "entropy": 0.567414516210556,
984
+ "epoch": 5.185185185185185,
985
+ "grad_norm": 1.546875,
986
+ "learning_rate": 9.897223423858226e-06,
987
+ "loss": 0.5701710224151612,
988
+ "mean_token_accuracy": 0.8381049610674381,
989
+ "num_tokens": 69888377.0,
990
+ "step": 980
991
+ },
992
+ {
993
+ "entropy": 0.5735208492726087,
994
+ "epoch": 5.238095238095238,
995
+ "grad_norm": 1.2578125,
996
+ "learning_rate": 9.725958616870495e-06,
997
+ "loss": 0.5715389728546143,
998
+ "mean_token_accuracy": 0.837762675434351,
999
+ "num_tokens": 70604584.0,
1000
+ "step": 990
1001
+ },
1002
+ {
1003
+ "entropy": 0.5762054596096278,
1004
+ "epoch": 5.291005291005291,
1005
+ "grad_norm": 1.3046875,
1006
+ "learning_rate": 9.554774219244344e-06,
1007
+ "loss": 0.5787403106689453,
1008
+ "mean_token_accuracy": 0.835259947925806,
1009
+ "num_tokens": 71321169.0,
1010
+ "step": 1000
1011
+ },
1012
+ {
1013
+ "entropy": 0.5732409968972206,
1014
+ "epoch": 5.343915343915344,
1015
+ "grad_norm": 1.328125,
1016
+ "learning_rate": 9.38372045999252e-06,
1017
+ "loss": 0.5709231853485107,
1018
+ "mean_token_accuracy": 0.8378458134829998,
1019
+ "num_tokens": 72041175.0,
1020
+ "step": 1010
1021
+ },
1022
+ {
1023
+ "entropy": 0.5593106970191002,
1024
+ "epoch": 5.396825396825397,
1025
+ "grad_norm": 1.3359375,
1026
+ "learning_rate": 9.212847529795784e-06,
1027
+ "loss": 0.5596912384033204,
1028
+ "mean_token_accuracy": 0.8397281520068646,
1029
+ "num_tokens": 72749079.0,
1030
+ "step": 1020
1031
+ },
1032
+ {
1033
+ "entropy": 0.5708956997841597,
1034
+ "epoch": 5.449735449735449,
1035
+ "grad_norm": 1.1953125,
1036
+ "learning_rate": 9.042205566275952e-06,
1037
+ "loss": 0.5709175586700439,
1038
+ "mean_token_accuracy": 0.8381867438554764,
1039
+ "num_tokens": 73462893.0,
1040
+ "step": 1030
1041
+ },
1042
+ {
1043
+ "entropy": 0.574559985101223,
1044
+ "epoch": 5.502645502645502,
1045
+ "grad_norm": 1.25,
1046
+ "learning_rate": 8.871844639284479e-06,
1047
+ "loss": 0.5761849403381347,
1048
+ "mean_token_accuracy": 0.8366024740040302,
1049
+ "num_tokens": 74167133.0,
1050
+ "step": 1040
1051
+ },
1052
+ {
1053
+ "entropy": 0.5802072331309318,
1054
+ "epoch": 5.555555555555555,
1055
+ "grad_norm": 1.1875,
1056
+ "learning_rate": 8.701814736210933e-06,
1057
+ "loss": 0.5792787075042725,
1058
+ "mean_token_accuracy": 0.835508918017149,
1059
+ "num_tokens": 74870399.0,
1060
+ "step": 1050
1061
+ },
1062
+ {
1063
+ "entropy": 0.5814166940748692,
1064
+ "epoch": 5.608465608465608,
1065
+ "grad_norm": 1.28125,
1066
+ "learning_rate": 8.532165747315686e-06,
1067
+ "loss": 0.5834609031677246,
1068
+ "mean_token_accuracy": 0.8350230395793915,
1069
+ "num_tokens": 75590782.0,
1070
+ "step": 1060
1071
+ },
1072
+ {
1073
+ "entropy": 0.5799121633172035,
1074
+ "epoch": 5.661375661375661,
1075
+ "grad_norm": 1.3203125,
1076
+ "learning_rate": 8.362947451091072e-06,
1077
+ "loss": 0.5762242317199707,
1078
+ "mean_token_accuracy": 0.8368450194597244,
1079
+ "num_tokens": 76305788.0,
1080
+ "step": 1070
1081
+ },
1082
+ {
1083
+ "entropy": 0.5694117113947869,
1084
+ "epoch": 5.714285714285714,
1085
+ "grad_norm": 1.25,
1086
+ "learning_rate": 8.194209499655364e-06,
1087
+ "loss": 0.5744447231292724,
1088
+ "mean_token_accuracy": 0.8372330017387867,
1089
+ "num_tokens": 77023579.0,
1090
+ "step": 1080
1091
+ },
1092
+ {
1093
+ "entropy": 0.5791369702666997,
1094
+ "epoch": 5.767195767195767,
1095
+ "grad_norm": 1.34375,
1096
+ "learning_rate": 8.026001404183831e-06,
1097
+ "loss": 0.574954605102539,
1098
+ "mean_token_accuracy": 0.8362665802240372,
1099
+ "num_tokens": 77720821.0,
1100
+ "step": 1090
1101
+ },
1102
+ {
1103
+ "entropy": 0.575787166133523,
1104
+ "epoch": 5.8201058201058204,
1105
+ "grad_norm": 1.2265625,
1106
+ "learning_rate": 7.85837252038112e-06,
1107
+ "loss": 0.5779669761657715,
1108
+ "mean_token_accuracy": 0.83624067902565,
1109
+ "num_tokens": 78431671.0,
1110
+ "step": 1100
1111
+ },
1112
+ {
1113
+ "entropy": 0.5742827598005533,
1114
+ "epoch": 5.8730158730158735,
1115
+ "grad_norm": 1.359375,
1116
+ "learning_rate": 7.69137203399931e-06,
1117
+ "loss": 0.5727415084838867,
1118
+ "mean_token_accuracy": 0.8372173503041267,
1119
+ "num_tokens": 79141393.0,
1120
+ "step": 1110
1121
+ },
1122
+ {
1123
+ "entropy": 0.561671144515276,
1124
+ "epoch": 5.925925925925926,
1125
+ "grad_norm": 1.2578125,
1126
+ "learning_rate": 7.525048946405791e-06,
1127
+ "loss": 0.5620074272155762,
1128
+ "mean_token_accuracy": 0.8406617894768715,
1129
+ "num_tokens": 79858356.0,
1130
+ "step": 1120
1131
+ },
1132
+ {
1133
+ "entropy": 0.5741465941071511,
1134
+ "epoch": 5.978835978835979,
1135
+ "grad_norm": 1.2890625,
1136
+ "learning_rate": 7.359452060205245e-06,
1137
+ "loss": 0.5751906394958496,
1138
+ "mean_token_accuracy": 0.8366710051894188,
1139
+ "num_tokens": 80566532.0,
1140
+ "step": 1130
1141
+ }
1142
+ ],
1143
+ "logging_steps": 10,
1144
+ "max_steps": 1890,
1145
+ "num_input_tokens_seen": 0,
1146
+ "num_train_epochs": 10,
1147
+ "save_steps": 500,
1148
+ "stateful_callbacks": {
1149
+ "TrainerControl": {
1150
+ "args": {
1151
+ "should_epoch_stop": false,
1152
+ "should_evaluate": false,
1153
+ "should_log": false,
1154
+ "should_save": true,
1155
+ "should_training_stop": false
1156
+ },
1157
+ "attributes": {}
1158
+ }
1159
+ },
1160
+ "total_flos": 1.45969922766694e+18,
1161
+ "train_batch_size": 8,
1162
+ "trial_name": null,
1163
+ "trial_params": null
1164
+ }
checkpoint-1134/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3c5157befdf76758355c778bf2e443ff15bdb4dddea8629c79b5e529dc673fea
3
+ size 5841