CognitiveScience commited on
Commit
fc495f6
1 Parent(s): eb1f6f0
config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "gpt2",
3
+ "activation_function": "leaky_relu",
4
+ "architectures": [
5
+ "GPT2LMHeadModel"
6
+ ],
7
+ "attn_block_resid_gain": 1,
8
+ "attn_block_skip_gain": 1,
9
+ "attn_mat_resid_gain": 1,
10
+ "attn_mat_skip_gain": 0,
11
+ "attn_pdrop": 0,
12
+ "bos_token_id": 0,
13
+ "centre_attn": false,
14
+ "centre_attn_gain": 1.0,
15
+ "embd_pdrop": 0,
16
+ "eos_token_id": 0,
17
+ "first_layer_value_resid_gain": null,
18
+ "initializer_range": 0.02,
19
+ "key_init_std": null,
20
+ "last_layer_proj_resid_gain": null,
21
+ "layer_norm_epsilon": 1e-05,
22
+ "lrelu_neg_slope": 0,
23
+ "mlp_block_resid_gain": 1,
24
+ "mlp_block_skip_gain": 1,
25
+ "mlp_proj_init_std": false,
26
+ "model_type": "gpt2",
27
+ "n_ctx": 128,
28
+ "n_embd": 64,
29
+ "n_head": 2,
30
+ "n_inner": 256,
31
+ "n_layer": 2,
32
+ "n_positions": 1024,
33
+ "norm_position": "pre",
34
+ "norm_type": "rmsnorm",
35
+ "output_attentions": "false",
36
+ "parallel_layers": false,
37
+ "proj_init_type": "normal",
38
+ "proj_resid_gain": 1.0,
39
+ "proj_skip_gain": null,
40
+ "query_init_std": null,
41
+ "reorder_and_upcast_attn": false,
42
+ "resid_pdrop": 0,
43
+ "scale_attn_by_inverse_layer_idx": false,
44
+ "scale_attn_weights": true,
45
+ "summary_activation": null,
46
+ "summary_first_dropout": 0.1,
47
+ "summary_proj_to_labels": true,
48
+ "summary_type": "cls_index",
49
+ "summary_use_proj": true,
50
+ "task_specific_params": {
51
+ "text-generation": {
52
+ "do_sample": true,
53
+ "max_length": 50
54
+ }
55
+ },
56
+ "tie_valproj_init": null,
57
+ "torch_dtype": "float32",
58
+ "trainable_attn_block_gains": false,
59
+ "trainable_attn_mat_gains": false,
60
+ "trainable_mlp_block_gains": false,
61
+ "trainable_proj_gains": false,
62
+ "trainable_value_gains": false,
63
+ "transformers_version": "4.38.1",
64
+ "use_cache": true,
65
+ "val_init_type": "normal",
66
+ "val_proj_init_std": null,
67
+ "value_resid_gain": 1,
68
+ "value_skip_gain": 0,
69
+ "vocab_size": 50000
70
+ }
generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 0,
4
+ "eos_token_id": 0,
5
+ "output_attentions": "false",
6
+ "transformers_version": "4.38.1"
7
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:608bea770c81bd5e6224b9ad26134276a4a0f38d41450f21145e3e44a40f9729
3
+ size 13466064
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6cf8800dc14655a643cfc2e4bacc6e9c0dbecb6844a5774e71f4b59fcc0ee8a8
3
+ size 26933218
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:43eb962b2fa61a9b7ec8ce064d6dfaf064d918004469195221d9385600f889fd
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:21267c6c38ee64c10c7a237d210df3da03b92f6795c4a85d881e4ab95723b77f
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|endoftext|>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|endoftext|>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "<|endoftext|>",
17
+ "unk_token": {
18
+ "content": "<|endoftext|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ }
12
+ },
13
+ "bos_token": "<|endoftext|>",
14
+ "clean_up_tokenization_spaces": true,
15
+ "eos_token": "<|endoftext|>",
16
+ "model_max_length": 1024,
17
+ "pad_token": "<|endoftext|>",
18
+ "tokenizer_class": "GPT2Tokenizer",
19
+ "unk_token": "<|endoftext|>"
20
+ }
trainer_state.json ADDED
@@ -0,0 +1,621 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.9328575759695888,
5
+ "eval_steps": 500,
6
+ "global_step": 20000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.02,
13
+ "grad_norm": 0.3762490749359131,
14
+ "learning_rate": 0.00046641791044776124,
15
+ "loss": 8.4353,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.02,
20
+ "eval_loss": 6.534626483917236,
21
+ "eval_runtime": 213.0459,
22
+ "eval_samples_per_second": 264.877,
23
+ "eval_steps_per_second": 8.28,
24
+ "step": 500
25
+ },
26
+ {
27
+ "epoch": 0.05,
28
+ "grad_norm": 1.518302321434021,
29
+ "learning_rate": 0.0009328358208955225,
30
+ "loss": 5.5553,
31
+ "step": 1000
32
+ },
33
+ {
34
+ "epoch": 0.05,
35
+ "eval_loss": 4.976442813873291,
36
+ "eval_runtime": 215.6331,
37
+ "eval_samples_per_second": 261.699,
38
+ "eval_steps_per_second": 8.181,
39
+ "step": 1000
40
+ },
41
+ {
42
+ "epoch": 0.07,
43
+ "grad_norm": 1.8457584381103516,
44
+ "learning_rate": 0.0009789877154220063,
45
+ "loss": 4.5996,
46
+ "step": 1500
47
+ },
48
+ {
49
+ "epoch": 0.07,
50
+ "eval_loss": 4.408080101013184,
51
+ "eval_runtime": 215.4944,
52
+ "eval_samples_per_second": 261.868,
53
+ "eval_steps_per_second": 8.186,
54
+ "step": 1500
55
+ },
56
+ {
57
+ "epoch": 0.09,
58
+ "grad_norm": 1.3413056135177612,
59
+ "learning_rate": 0.0009544406539991162,
60
+ "loss": 4.1961,
61
+ "step": 2000
62
+ },
63
+ {
64
+ "epoch": 0.09,
65
+ "eval_loss": 4.121068954467773,
66
+ "eval_runtime": 216.0979,
67
+ "eval_samples_per_second": 261.136,
68
+ "eval_steps_per_second": 8.163,
69
+ "step": 2000
70
+ },
71
+ {
72
+ "epoch": 0.12,
73
+ "grad_norm": 1.2387056350708008,
74
+ "learning_rate": 0.0009298935925762261,
75
+ "loss": 3.9584,
76
+ "step": 2500
77
+ },
78
+ {
79
+ "epoch": 0.12,
80
+ "eval_loss": 3.929608106613159,
81
+ "eval_runtime": 216.438,
82
+ "eval_samples_per_second": 260.726,
83
+ "eval_steps_per_second": 8.15,
84
+ "step": 2500
85
+ },
86
+ {
87
+ "epoch": 0.14,
88
+ "grad_norm": 1.3727014064788818,
89
+ "learning_rate": 0.0009053465311533362,
90
+ "loss": 3.7833,
91
+ "step": 3000
92
+ },
93
+ {
94
+ "epoch": 0.14,
95
+ "eval_loss": 3.787693738937378,
96
+ "eval_runtime": 218.2815,
97
+ "eval_samples_per_second": 258.524,
98
+ "eval_steps_per_second": 8.081,
99
+ "step": 3000
100
+ },
101
+ {
102
+ "epoch": 0.16,
103
+ "grad_norm": 1.5133860111236572,
104
+ "learning_rate": 0.0008807994697304462,
105
+ "loss": 3.6616,
106
+ "step": 3500
107
+ },
108
+ {
109
+ "epoch": 0.16,
110
+ "eval_loss": 3.683837652206421,
111
+ "eval_runtime": 217.4429,
112
+ "eval_samples_per_second": 259.521,
113
+ "eval_steps_per_second": 8.112,
114
+ "step": 3500
115
+ },
116
+ {
117
+ "epoch": 0.19,
118
+ "grad_norm": 1.3134872913360596,
119
+ "learning_rate": 0.0008562524083075562,
120
+ "loss": 3.5679,
121
+ "step": 4000
122
+ },
123
+ {
124
+ "epoch": 0.19,
125
+ "eval_loss": 3.6060750484466553,
126
+ "eval_runtime": 216.1087,
127
+ "eval_samples_per_second": 261.123,
128
+ "eval_steps_per_second": 8.163,
129
+ "step": 4000
130
+ },
131
+ {
132
+ "epoch": 0.21,
133
+ "grad_norm": 1.3464657068252563,
134
+ "learning_rate": 0.0008317053468846664,
135
+ "loss": 3.4964,
136
+ "step": 4500
137
+ },
138
+ {
139
+ "epoch": 0.21,
140
+ "eval_loss": 3.54757022857666,
141
+ "eval_runtime": 216.7125,
142
+ "eval_samples_per_second": 260.396,
143
+ "eval_steps_per_second": 8.14,
144
+ "step": 4500
145
+ },
146
+ {
147
+ "epoch": 0.23,
148
+ "grad_norm": 1.3200907707214355,
149
+ "learning_rate": 0.0008071582854617764,
150
+ "loss": 3.4488,
151
+ "step": 5000
152
+ },
153
+ {
154
+ "epoch": 0.23,
155
+ "eval_loss": 3.4986045360565186,
156
+ "eval_runtime": 217.9581,
157
+ "eval_samples_per_second": 258.908,
158
+ "eval_steps_per_second": 8.093,
159
+ "step": 5000
160
+ },
161
+ {
162
+ "epoch": 0.26,
163
+ "grad_norm": 1.514103651046753,
164
+ "learning_rate": 0.0007826112240388863,
165
+ "loss": 3.3973,
166
+ "step": 5500
167
+ },
168
+ {
169
+ "epoch": 0.26,
170
+ "eval_loss": 3.4664642810821533,
171
+ "eval_runtime": 218.2073,
172
+ "eval_samples_per_second": 258.612,
173
+ "eval_steps_per_second": 8.084,
174
+ "step": 5500
175
+ },
176
+ {
177
+ "epoch": 0.28,
178
+ "grad_norm": 1.4389874935150146,
179
+ "learning_rate": 0.0007580641626159963,
180
+ "loss": 3.3587,
181
+ "step": 6000
182
+ },
183
+ {
184
+ "epoch": 0.28,
185
+ "eval_loss": 3.4231605529785156,
186
+ "eval_runtime": 218.4087,
187
+ "eval_samples_per_second": 258.373,
188
+ "eval_steps_per_second": 8.077,
189
+ "step": 6000
190
+ },
191
+ {
192
+ "epoch": 0.3,
193
+ "grad_norm": 1.4937726259231567,
194
+ "learning_rate": 0.0007335171011931065,
195
+ "loss": 3.3231,
196
+ "step": 6500
197
+ },
198
+ {
199
+ "epoch": 0.3,
200
+ "eval_loss": 3.390798330307007,
201
+ "eval_runtime": 216.9327,
202
+ "eval_samples_per_second": 260.131,
203
+ "eval_steps_per_second": 8.132,
204
+ "step": 6500
205
+ },
206
+ {
207
+ "epoch": 0.33,
208
+ "grad_norm": 1.5942374467849731,
209
+ "learning_rate": 0.0007089700397702165,
210
+ "loss": 3.2971,
211
+ "step": 7000
212
+ },
213
+ {
214
+ "epoch": 0.33,
215
+ "eval_loss": 3.361341714859009,
216
+ "eval_runtime": 217.461,
217
+ "eval_samples_per_second": 259.499,
218
+ "eval_steps_per_second": 8.112,
219
+ "step": 7000
220
+ },
221
+ {
222
+ "epoch": 0.35,
223
+ "grad_norm": 1.6310980319976807,
224
+ "learning_rate": 0.0006844229783473265,
225
+ "loss": 3.2679,
226
+ "step": 7500
227
+ },
228
+ {
229
+ "epoch": 0.35,
230
+ "eval_loss": 3.33766770362854,
231
+ "eval_runtime": 217.3952,
232
+ "eval_samples_per_second": 259.578,
233
+ "eval_steps_per_second": 8.114,
234
+ "step": 7500
235
+ },
236
+ {
237
+ "epoch": 0.37,
238
+ "grad_norm": 1.6001648902893066,
239
+ "learning_rate": 0.0006598759169244364,
240
+ "loss": 3.2436,
241
+ "step": 8000
242
+ },
243
+ {
244
+ "epoch": 0.37,
245
+ "eval_loss": 3.3167307376861572,
246
+ "eval_runtime": 217.5617,
247
+ "eval_samples_per_second": 259.379,
248
+ "eval_steps_per_second": 8.108,
249
+ "step": 8000
250
+ },
251
+ {
252
+ "epoch": 0.4,
253
+ "grad_norm": 1.590154767036438,
254
+ "learning_rate": 0.0006353288555015467,
255
+ "loss": 3.2322,
256
+ "step": 8500
257
+ },
258
+ {
259
+ "epoch": 0.4,
260
+ "eval_loss": 3.2952842712402344,
261
+ "eval_runtime": 217.0219,
262
+ "eval_samples_per_second": 260.024,
263
+ "eval_steps_per_second": 8.128,
264
+ "step": 8500
265
+ },
266
+ {
267
+ "epoch": 0.42,
268
+ "grad_norm": 1.7063907384872437,
269
+ "learning_rate": 0.0006107817940786566,
270
+ "loss": 3.208,
271
+ "step": 9000
272
+ },
273
+ {
274
+ "epoch": 0.42,
275
+ "eval_loss": 3.2771995067596436,
276
+ "eval_runtime": 218.9112,
277
+ "eval_samples_per_second": 257.78,
278
+ "eval_steps_per_second": 8.058,
279
+ "step": 9000
280
+ },
281
+ {
282
+ "epoch": 0.44,
283
+ "grad_norm": 1.544815182685852,
284
+ "learning_rate": 0.0005862347326557666,
285
+ "loss": 3.1923,
286
+ "step": 9500
287
+ },
288
+ {
289
+ "epoch": 0.44,
290
+ "eval_loss": 3.263777017593384,
291
+ "eval_runtime": 218.0114,
292
+ "eval_samples_per_second": 258.844,
293
+ "eval_steps_per_second": 8.091,
294
+ "step": 9500
295
+ },
296
+ {
297
+ "epoch": 0.47,
298
+ "grad_norm": 1.615902304649353,
299
+ "learning_rate": 0.0005616876712328766,
300
+ "loss": 3.1683,
301
+ "step": 10000
302
+ },
303
+ {
304
+ "epoch": 0.47,
305
+ "eval_loss": 3.2488255500793457,
306
+ "eval_runtime": 217.5444,
307
+ "eval_samples_per_second": 259.4,
308
+ "eval_steps_per_second": 8.109,
309
+ "step": 10000
310
+ },
311
+ {
312
+ "epoch": 0.49,
313
+ "grad_norm": 1.533378005027771,
314
+ "learning_rate": 0.0005371897039328324,
315
+ "loss": 3.158,
316
+ "step": 10500
317
+ },
318
+ {
319
+ "epoch": 0.49,
320
+ "eval_loss": 3.2329940795898438,
321
+ "eval_runtime": 214.5885,
322
+ "eval_samples_per_second": 262.973,
323
+ "eval_steps_per_second": 8.22,
324
+ "step": 10500
325
+ },
326
+ {
327
+ "epoch": 0.51,
328
+ "grad_norm": 1.9465535879135132,
329
+ "learning_rate": 0.0005126426425099425,
330
+ "loss": 3.1439,
331
+ "step": 11000
332
+ },
333
+ {
334
+ "epoch": 0.51,
335
+ "eval_loss": 3.2245969772338867,
336
+ "eval_runtime": 216.8559,
337
+ "eval_samples_per_second": 260.224,
338
+ "eval_steps_per_second": 8.134,
339
+ "step": 11000
340
+ },
341
+ {
342
+ "epoch": 0.54,
343
+ "grad_norm": 1.7405271530151367,
344
+ "learning_rate": 0.0004880955810870526,
345
+ "loss": 3.1374,
346
+ "step": 11500
347
+ },
348
+ {
349
+ "epoch": 0.54,
350
+ "eval_loss": 3.208115339279175,
351
+ "eval_runtime": 217.1863,
352
+ "eval_samples_per_second": 259.828,
353
+ "eval_steps_per_second": 8.122,
354
+ "step": 11500
355
+ },
356
+ {
357
+ "epoch": 0.56,
358
+ "grad_norm": 1.6891497373580933,
359
+ "learning_rate": 0.0004635485196641626,
360
+ "loss": 3.1213,
361
+ "step": 12000
362
+ },
363
+ {
364
+ "epoch": 0.56,
365
+ "eval_loss": 3.200620651245117,
366
+ "eval_runtime": 218.4169,
367
+ "eval_samples_per_second": 258.364,
368
+ "eval_steps_per_second": 8.076,
369
+ "step": 12000
370
+ },
371
+ {
372
+ "epoch": 0.58,
373
+ "grad_norm": 1.73305082321167,
374
+ "learning_rate": 0.00043909964648696415,
375
+ "loss": 3.1144,
376
+ "step": 12500
377
+ },
378
+ {
379
+ "epoch": 0.58,
380
+ "eval_loss": 3.188239812850952,
381
+ "eval_runtime": 215.556,
382
+ "eval_samples_per_second": 261.793,
383
+ "eval_steps_per_second": 8.183,
384
+ "step": 12500
385
+ },
386
+ {
387
+ "epoch": 0.61,
388
+ "grad_norm": 1.7891405820846558,
389
+ "learning_rate": 0.0004145525850640742,
390
+ "loss": 3.0963,
391
+ "step": 13000
392
+ },
393
+ {
394
+ "epoch": 0.61,
395
+ "eval_loss": 3.174497365951538,
396
+ "eval_runtime": 214.2396,
397
+ "eval_samples_per_second": 263.401,
398
+ "eval_steps_per_second": 8.234,
399
+ "step": 13000
400
+ },
401
+ {
402
+ "epoch": 0.63,
403
+ "grad_norm": 1.6677337884902954,
404
+ "learning_rate": 0.00039000552364118425,
405
+ "loss": 3.097,
406
+ "step": 13500
407
+ },
408
+ {
409
+ "epoch": 0.63,
410
+ "eval_loss": 3.165832042694092,
411
+ "eval_runtime": 214.1769,
412
+ "eval_samples_per_second": 263.479,
413
+ "eval_steps_per_second": 8.236,
414
+ "step": 13500
415
+ },
416
+ {
417
+ "epoch": 0.65,
418
+ "grad_norm": 1.7241294384002686,
419
+ "learning_rate": 0.00036545846221829433,
420
+ "loss": 3.076,
421
+ "step": 14000
422
+ },
423
+ {
424
+ "epoch": 0.65,
425
+ "eval_loss": 3.1584606170654297,
426
+ "eval_runtime": 264.545,
427
+ "eval_samples_per_second": 213.313,
428
+ "eval_steps_per_second": 6.668,
429
+ "step": 14000
430
+ },
431
+ {
432
+ "epoch": 0.68,
433
+ "grad_norm": 1.835271954536438,
434
+ "learning_rate": 0.00034091140079540435,
435
+ "loss": 3.0666,
436
+ "step": 14500
437
+ },
438
+ {
439
+ "epoch": 0.68,
440
+ "eval_loss": 3.151036262512207,
441
+ "eval_runtime": 218.4608,
442
+ "eval_samples_per_second": 258.312,
443
+ "eval_steps_per_second": 8.075,
444
+ "step": 14500
445
+ },
446
+ {
447
+ "epoch": 0.7,
448
+ "grad_norm": 1.7558091878890991,
449
+ "learning_rate": 0.00031636433937251427,
450
+ "loss": 3.0709,
451
+ "step": 15000
452
+ },
453
+ {
454
+ "epoch": 0.7,
455
+ "eval_loss": 3.139883279800415,
456
+ "eval_runtime": 11111.1382,
457
+ "eval_samples_per_second": 5.079,
458
+ "eval_steps_per_second": 0.159,
459
+ "step": 15000
460
+ },
461
+ {
462
+ "epoch": 0.72,
463
+ "grad_norm": 1.6270012855529785,
464
+ "learning_rate": 0.00029186637207247017,
465
+ "loss": 3.0609,
466
+ "step": 15500
467
+ },
468
+ {
469
+ "epoch": 0.72,
470
+ "eval_loss": 3.1347908973693848,
471
+ "eval_runtime": 258.6315,
472
+ "eval_samples_per_second": 218.191,
473
+ "eval_steps_per_second": 6.821,
474
+ "step": 15500
475
+ },
476
+ {
477
+ "epoch": 0.75,
478
+ "grad_norm": 1.971229910850525,
479
+ "learning_rate": 0.0002673193106495802,
480
+ "loss": 3.0527,
481
+ "step": 16000
482
+ },
483
+ {
484
+ "epoch": 0.75,
485
+ "eval_loss": 3.127486228942871,
486
+ "eval_runtime": 243.3689,
487
+ "eval_samples_per_second": 231.874,
488
+ "eval_steps_per_second": 7.248,
489
+ "step": 16000
490
+ },
491
+ {
492
+ "epoch": 0.77,
493
+ "grad_norm": 1.7010846138000488,
494
+ "learning_rate": 0.00024277224922669027,
495
+ "loss": 3.0449,
496
+ "step": 16500
497
+ },
498
+ {
499
+ "epoch": 0.77,
500
+ "eval_loss": 3.122706890106201,
501
+ "eval_runtime": 259.8928,
502
+ "eval_samples_per_second": 217.132,
503
+ "eval_steps_per_second": 6.787,
504
+ "step": 16500
505
+ },
506
+ {
507
+ "epoch": 0.79,
508
+ "grad_norm": 2.0105388164520264,
509
+ "learning_rate": 0.00021822518780380032,
510
+ "loss": 3.0407,
511
+ "step": 17000
512
+ },
513
+ {
514
+ "epoch": 0.79,
515
+ "eval_loss": 3.1165504455566406,
516
+ "eval_runtime": 264.3004,
517
+ "eval_samples_per_second": 213.511,
518
+ "eval_steps_per_second": 6.674,
519
+ "step": 17000
520
+ },
521
+ {
522
+ "epoch": 0.82,
523
+ "grad_norm": 1.7834789752960205,
524
+ "learning_rate": 0.00019372722050375605,
525
+ "loss": 3.0376,
526
+ "step": 17500
527
+ },
528
+ {
529
+ "epoch": 0.82,
530
+ "eval_loss": 3.10659122467041,
531
+ "eval_runtime": 265.7435,
532
+ "eval_samples_per_second": 212.351,
533
+ "eval_steps_per_second": 6.638,
534
+ "step": 17500
535
+ },
536
+ {
537
+ "epoch": 0.84,
538
+ "grad_norm": 1.8829165697097778,
539
+ "learning_rate": 0.0001691801590808661,
540
+ "loss": 3.0251,
541
+ "step": 18000
542
+ },
543
+ {
544
+ "epoch": 0.84,
545
+ "eval_loss": 3.1006741523742676,
546
+ "eval_runtime": 267.8646,
547
+ "eval_samples_per_second": 210.67,
548
+ "eval_steps_per_second": 6.585,
549
+ "step": 18000
550
+ },
551
+ {
552
+ "epoch": 0.86,
553
+ "grad_norm": 1.7196826934814453,
554
+ "learning_rate": 0.00014463309765797616,
555
+ "loss": 3.0226,
556
+ "step": 18500
557
+ },
558
+ {
559
+ "epoch": 0.86,
560
+ "eval_loss": 3.0954883098602295,
561
+ "eval_runtime": 263.6733,
562
+ "eval_samples_per_second": 214.019,
563
+ "eval_steps_per_second": 6.69,
564
+ "step": 18500
565
+ },
566
+ {
567
+ "epoch": 0.89,
568
+ "grad_norm": 1.7544931173324585,
569
+ "learning_rate": 0.00012008603623508621,
570
+ "loss": 3.0203,
571
+ "step": 19000
572
+ },
573
+ {
574
+ "epoch": 0.89,
575
+ "eval_loss": 3.0885541439056396,
576
+ "eval_runtime": 225.0692,
577
+ "eval_samples_per_second": 250.727,
578
+ "eval_steps_per_second": 7.838,
579
+ "step": 19000
580
+ },
581
+ {
582
+ "epoch": 0.91,
583
+ "grad_norm": 1.659536361694336,
584
+ "learning_rate": 9.558806893504194e-05,
585
+ "loss": 3.0151,
586
+ "step": 19500
587
+ },
588
+ {
589
+ "epoch": 0.91,
590
+ "eval_loss": 3.083906888961792,
591
+ "eval_runtime": 257.4684,
592
+ "eval_samples_per_second": 219.176,
593
+ "eval_steps_per_second": 6.851,
594
+ "step": 19500
595
+ },
596
+ {
597
+ "epoch": 0.93,
598
+ "grad_norm": 1.6146643161773682,
599
+ "learning_rate": 7.1041007512152e-05,
600
+ "loss": 3.0018,
601
+ "step": 20000
602
+ },
603
+ {
604
+ "epoch": 0.93,
605
+ "eval_loss": 3.0793216228485107,
606
+ "eval_runtime": 231.3706,
607
+ "eval_samples_per_second": 243.899,
608
+ "eval_steps_per_second": 7.624,
609
+ "step": 20000
610
+ }
611
+ ],
612
+ "logging_steps": 500,
613
+ "max_steps": 21439,
614
+ "num_input_tokens_seen": 0,
615
+ "num_train_epochs": 1,
616
+ "save_steps": 10000,
617
+ "total_flos": 196340613120000.0,
618
+ "train_batch_size": 32,
619
+ "trial_name": null,
620
+ "trial_params": null
621
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ae9dc222d2227f30cec9c8484803d399f8365d5004a9b4b91cd06f6a6c80aa17
3
+ size 4920
vocab.json ADDED
The diff for this file is too large to render. See raw diff