Ihor commited on
Commit
b857d0c
1 Parent(s): dd38b76

Upload folder using huggingface_hub

Browse files
config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "princeton-nlp/Sheared-LLaMA-1.3B",
3
+ "architectures": [
4
+ "LlamaBiModel"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 1,
9
+ "eos_token_id": 2,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 2048,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 5504,
14
+ "max_position_embeddings": 4096,
15
+ "model_type": "llama",
16
+ "num_attention_heads": 16,
17
+ "num_hidden_layers": 24,
18
+ "num_key_value_heads": 16,
19
+ "pad_token_id": 0,
20
+ "pretraining_tp": 1,
21
+ "rms_norm_eps": 1e-05,
22
+ "rope_scaling": null,
23
+ "rope_theta": 10000.0,
24
+ "tie_word_embeddings": false,
25
+ "torch_dtype": "bfloat16",
26
+ "transformers_version": "4.40.2",
27
+ "use_cache": true,
28
+ "vocab_size": 32000
29
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:06b5579fd0d157162fbf371573b4a415c23bb5eec858b575220112927e9ada76
3
+ size 2559798552
special_tokens_map.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "mask_token": "_",
17
+ "pad_token": "</s>",
18
+ "unk_token": {
19
+ "content": "<unk>",
20
+ "lstrip": false,
21
+ "normalized": true,
22
+ "rstrip": false,
23
+ "single_word": false
24
+ }
25
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<unk>",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<s>",
15
+ "lstrip": false,
16
+ "normalized": true,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "</s>",
23
+ "lstrip": false,
24
+ "normalized": true,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ }
29
+ },
30
+ "bos_token": "<s>",
31
+ "clean_up_tokenization_spaces": false,
32
+ "eos_token": "</s>",
33
+ "mask_token": "_",
34
+ "model_max_length": 1000000000000000019884624838656,
35
+ "pad_token": "</s>",
36
+ "sp_model_kwargs": {},
37
+ "tokenizer_class": "LlamaTokenizer",
38
+ "unk_token": "<unk>",
39
+ "use_default_system_prompt": false
40
+ }
trainer_state.json ADDED
@@ -0,0 +1,617 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.32923775694404,
5
+ "eval_steps": 10000,
6
+ "global_step": 40000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0291154719618005,
13
+ "grad_norm": 5.6875,
14
+ "learning_rate": 4.9514742133969994e-05,
15
+ "loss": 2.4005,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.058230943923601,
20
+ "grad_norm": 5.125,
21
+ "learning_rate": 4.9029484267939986e-05,
22
+ "loss": 1.8762,
23
+ "step": 1000
24
+ },
25
+ {
26
+ "epoch": 0.0873464158854015,
27
+ "grad_norm": 5.21875,
28
+ "learning_rate": 4.854422640190998e-05,
29
+ "loss": 1.7508,
30
+ "step": 1500
31
+ },
32
+ {
33
+ "epoch": 0.116461887847202,
34
+ "grad_norm": 5.125,
35
+ "learning_rate": 4.805896853587997e-05,
36
+ "loss": 1.6692,
37
+ "step": 2000
38
+ },
39
+ {
40
+ "epoch": 0.1455773598090025,
41
+ "grad_norm": 5.03125,
42
+ "learning_rate": 4.757371066984996e-05,
43
+ "loss": 1.6309,
44
+ "step": 2500
45
+ },
46
+ {
47
+ "epoch": 0.174692831770803,
48
+ "grad_norm": 4.6875,
49
+ "learning_rate": 4.708845280381995e-05,
50
+ "loss": 1.5878,
51
+ "step": 3000
52
+ },
53
+ {
54
+ "epoch": 0.2038083037326035,
55
+ "grad_norm": 4.90625,
56
+ "learning_rate": 4.6603194937789944e-05,
57
+ "loss": 1.5593,
58
+ "step": 3500
59
+ },
60
+ {
61
+ "epoch": 0.232923775694404,
62
+ "grad_norm": 4.65625,
63
+ "learning_rate": 4.6117937071759936e-05,
64
+ "loss": 1.5287,
65
+ "step": 4000
66
+ },
67
+ {
68
+ "epoch": 0.2620392476562045,
69
+ "grad_norm": 5.53125,
70
+ "learning_rate": 4.563267920572993e-05,
71
+ "loss": 1.5189,
72
+ "step": 4500
73
+ },
74
+ {
75
+ "epoch": 0.291154719618005,
76
+ "grad_norm": 4.53125,
77
+ "learning_rate": 4.514742133969992e-05,
78
+ "loss": 1.5018,
79
+ "step": 5000
80
+ },
81
+ {
82
+ "epoch": 0.3202701915798055,
83
+ "grad_norm": 4.8125,
84
+ "learning_rate": 4.466216347366991e-05,
85
+ "loss": 1.4784,
86
+ "step": 5500
87
+ },
88
+ {
89
+ "epoch": 0.349385663541606,
90
+ "grad_norm": 4.6875,
91
+ "learning_rate": 4.41769056076399e-05,
92
+ "loss": 1.4703,
93
+ "step": 6000
94
+ },
95
+ {
96
+ "epoch": 0.3785011355034065,
97
+ "grad_norm": 4.5,
98
+ "learning_rate": 4.3691647741609894e-05,
99
+ "loss": 1.449,
100
+ "step": 6500
101
+ },
102
+ {
103
+ "epoch": 0.407616607465207,
104
+ "grad_norm": 4.71875,
105
+ "learning_rate": 4.3206389875579886e-05,
106
+ "loss": 1.4496,
107
+ "step": 7000
108
+ },
109
+ {
110
+ "epoch": 0.43673207942700754,
111
+ "grad_norm": 4.65625,
112
+ "learning_rate": 4.272113200954988e-05,
113
+ "loss": 1.4421,
114
+ "step": 7500
115
+ },
116
+ {
117
+ "epoch": 0.465847551388808,
118
+ "grad_norm": 4.90625,
119
+ "learning_rate": 4.223587414351987e-05,
120
+ "loss": 1.4305,
121
+ "step": 8000
122
+ },
123
+ {
124
+ "epoch": 0.4949630233506085,
125
+ "grad_norm": 4.25,
126
+ "learning_rate": 4.175061627748986e-05,
127
+ "loss": 1.4251,
128
+ "step": 8500
129
+ },
130
+ {
131
+ "epoch": 0.524078495312409,
132
+ "grad_norm": 4.53125,
133
+ "learning_rate": 4.126535841145985e-05,
134
+ "loss": 1.4116,
135
+ "step": 9000
136
+ },
137
+ {
138
+ "epoch": 0.5531939672742096,
139
+ "grad_norm": 4.375,
140
+ "learning_rate": 4.0780100545429844e-05,
141
+ "loss": 1.4124,
142
+ "step": 9500
143
+ },
144
+ {
145
+ "epoch": 0.58230943923601,
146
+ "grad_norm": 5.40625,
147
+ "learning_rate": 4.0294842679399835e-05,
148
+ "loss": 1.4035,
149
+ "step": 10000
150
+ },
151
+ {
152
+ "epoch": 0.58230943923601,
153
+ "eval_accuracy": 0.7037869026306487,
154
+ "eval_loss": 1.3742600679397583,
155
+ "eval_runtime": 6.4605,
156
+ "eval_samples_per_second": 89.931,
157
+ "eval_steps_per_second": 2.941,
158
+ "step": 10000
159
+ },
160
+ {
161
+ "epoch": 0.6114249111978105,
162
+ "grad_norm": 4.40625,
163
+ "learning_rate": 3.980958481336983e-05,
164
+ "loss": 1.4042,
165
+ "step": 10500
166
+ },
167
+ {
168
+ "epoch": 0.640540383159611,
169
+ "grad_norm": 4.96875,
170
+ "learning_rate": 3.932432694733982e-05,
171
+ "loss": 1.3966,
172
+ "step": 11000
173
+ },
174
+ {
175
+ "epoch": 0.6696558551214116,
176
+ "grad_norm": 4.5625,
177
+ "learning_rate": 3.883906908130981e-05,
178
+ "loss": 1.3887,
179
+ "step": 11500
180
+ },
181
+ {
182
+ "epoch": 0.698771327083212,
183
+ "grad_norm": 5.0,
184
+ "learning_rate": 3.83538112152798e-05,
185
+ "loss": 1.3843,
186
+ "step": 12000
187
+ },
188
+ {
189
+ "epoch": 0.7278867990450125,
190
+ "grad_norm": 4.65625,
191
+ "learning_rate": 3.7868553349249794e-05,
192
+ "loss": 1.3783,
193
+ "step": 12500
194
+ },
195
+ {
196
+ "epoch": 0.757002271006813,
197
+ "grad_norm": 4.6875,
198
+ "learning_rate": 3.7383295483219785e-05,
199
+ "loss": 1.375,
200
+ "step": 13000
201
+ },
202
+ {
203
+ "epoch": 0.7861177429686135,
204
+ "grad_norm": 4.46875,
205
+ "learning_rate": 3.689803761718978e-05,
206
+ "loss": 1.3756,
207
+ "step": 13500
208
+ },
209
+ {
210
+ "epoch": 0.815233214930414,
211
+ "grad_norm": 4.65625,
212
+ "learning_rate": 3.641277975115977e-05,
213
+ "loss": 1.3636,
214
+ "step": 14000
215
+ },
216
+ {
217
+ "epoch": 0.8443486868922145,
218
+ "grad_norm": 4.5625,
219
+ "learning_rate": 3.592752188512976e-05,
220
+ "loss": 1.3688,
221
+ "step": 14500
222
+ },
223
+ {
224
+ "epoch": 0.8734641588540151,
225
+ "grad_norm": 4.59375,
226
+ "learning_rate": 3.544226401909975e-05,
227
+ "loss": 1.3652,
228
+ "step": 15000
229
+ },
230
+ {
231
+ "epoch": 0.9025796308158155,
232
+ "grad_norm": 4.90625,
233
+ "learning_rate": 3.4957006153069744e-05,
234
+ "loss": 1.3611,
235
+ "step": 15500
236
+ },
237
+ {
238
+ "epoch": 0.931695102777616,
239
+ "grad_norm": 5.09375,
240
+ "learning_rate": 3.4471748287039735e-05,
241
+ "loss": 1.352,
242
+ "step": 16000
243
+ },
244
+ {
245
+ "epoch": 0.9608105747394166,
246
+ "grad_norm": 4.625,
247
+ "learning_rate": 3.398649042100973e-05,
248
+ "loss": 1.3562,
249
+ "step": 16500
250
+ },
251
+ {
252
+ "epoch": 0.989926046701217,
253
+ "grad_norm": 4.84375,
254
+ "learning_rate": 3.350123255497972e-05,
255
+ "loss": 1.3491,
256
+ "step": 17000
257
+ },
258
+ {
259
+ "epoch": 1.0190415186630175,
260
+ "grad_norm": 5.15625,
261
+ "learning_rate": 3.301597468894971e-05,
262
+ "loss": 1.3448,
263
+ "step": 17500
264
+ },
265
+ {
266
+ "epoch": 1.048156990624818,
267
+ "grad_norm": 4.625,
268
+ "learning_rate": 3.25307168229197e-05,
269
+ "loss": 1.344,
270
+ "step": 18000
271
+ },
272
+ {
273
+ "epoch": 1.0772724625866186,
274
+ "grad_norm": 4.75,
275
+ "learning_rate": 3.204545895688969e-05,
276
+ "loss": 1.3381,
277
+ "step": 18500
278
+ },
279
+ {
280
+ "epoch": 1.106387934548419,
281
+ "grad_norm": 4.8125,
282
+ "learning_rate": 3.1560201090859685e-05,
283
+ "loss": 1.34,
284
+ "step": 19000
285
+ },
286
+ {
287
+ "epoch": 1.1355034065102196,
288
+ "grad_norm": 5.375,
289
+ "learning_rate": 3.107494322482968e-05,
290
+ "loss": 1.3352,
291
+ "step": 19500
292
+ },
293
+ {
294
+ "epoch": 1.16461887847202,
295
+ "grad_norm": 5.71875,
296
+ "learning_rate": 3.058968535879967e-05,
297
+ "loss": 1.3374,
298
+ "step": 20000
299
+ },
300
+ {
301
+ "epoch": 1.16461887847202,
302
+ "eval_accuracy": 0.7118764765058947,
303
+ "eval_loss": 1.3248625993728638,
304
+ "eval_runtime": 6.4569,
305
+ "eval_samples_per_second": 89.981,
306
+ "eval_steps_per_second": 2.943,
307
+ "step": 20000
308
+ },
309
+ {
310
+ "epoch": 1.1937343504338205,
311
+ "grad_norm": 4.5,
312
+ "learning_rate": 3.010442749276966e-05,
313
+ "loss": 1.3314,
314
+ "step": 20500
315
+ },
316
+ {
317
+ "epoch": 1.222849822395621,
318
+ "grad_norm": 5.09375,
319
+ "learning_rate": 2.9619169626739652e-05,
320
+ "loss": 1.3296,
321
+ "step": 21000
322
+ },
323
+ {
324
+ "epoch": 1.2519652943574215,
325
+ "grad_norm": 4.40625,
326
+ "learning_rate": 2.9133911760709644e-05,
327
+ "loss": 1.3331,
328
+ "step": 21500
329
+ },
330
+ {
331
+ "epoch": 1.281080766319222,
332
+ "grad_norm": 4.75,
333
+ "learning_rate": 2.8648653894679632e-05,
334
+ "loss": 1.332,
335
+ "step": 22000
336
+ },
337
+ {
338
+ "epoch": 1.3101962382810226,
339
+ "grad_norm": 5.09375,
340
+ "learning_rate": 2.8163396028649623e-05,
341
+ "loss": 1.3291,
342
+ "step": 22500
343
+ },
344
+ {
345
+ "epoch": 1.3393117102428231,
346
+ "grad_norm": 4.53125,
347
+ "learning_rate": 2.7678138162619615e-05,
348
+ "loss": 1.3301,
349
+ "step": 23000
350
+ },
351
+ {
352
+ "epoch": 1.3684271822046234,
353
+ "grad_norm": 4.8125,
354
+ "learning_rate": 2.7192880296589607e-05,
355
+ "loss": 1.3266,
356
+ "step": 23500
357
+ },
358
+ {
359
+ "epoch": 1.397542654166424,
360
+ "grad_norm": 5.0,
361
+ "learning_rate": 2.67076224305596e-05,
362
+ "loss": 1.3178,
363
+ "step": 24000
364
+ },
365
+ {
366
+ "epoch": 1.4266581261282245,
367
+ "grad_norm": 5.15625,
368
+ "learning_rate": 2.6222364564529593e-05,
369
+ "loss": 1.323,
370
+ "step": 24500
371
+ },
372
+ {
373
+ "epoch": 1.455773598090025,
374
+ "grad_norm": 4.78125,
375
+ "learning_rate": 2.5737106698499585e-05,
376
+ "loss": 1.3206,
377
+ "step": 25000
378
+ },
379
+ {
380
+ "epoch": 1.4848890700518256,
381
+ "grad_norm": 5.0625,
382
+ "learning_rate": 2.5251848832469577e-05,
383
+ "loss": 1.319,
384
+ "step": 25500
385
+ },
386
+ {
387
+ "epoch": 1.5140045420136259,
388
+ "grad_norm": 5.34375,
389
+ "learning_rate": 2.476659096643957e-05,
390
+ "loss": 1.3129,
391
+ "step": 26000
392
+ },
393
+ {
394
+ "epoch": 1.5431200139754266,
395
+ "grad_norm": 4.96875,
396
+ "learning_rate": 2.428133310040956e-05,
397
+ "loss": 1.3163,
398
+ "step": 26500
399
+ },
400
+ {
401
+ "epoch": 1.572235485937227,
402
+ "grad_norm": 4.59375,
403
+ "learning_rate": 2.3796075234379552e-05,
404
+ "loss": 1.313,
405
+ "step": 27000
406
+ },
407
+ {
408
+ "epoch": 1.6013509578990277,
409
+ "grad_norm": 4.40625,
410
+ "learning_rate": 2.331081736834954e-05,
411
+ "loss": 1.3167,
412
+ "step": 27500
413
+ },
414
+ {
415
+ "epoch": 1.630466429860828,
416
+ "grad_norm": 5.09375,
417
+ "learning_rate": 2.282555950231953e-05,
418
+ "loss": 1.3151,
419
+ "step": 28000
420
+ },
421
+ {
422
+ "epoch": 1.6595819018226285,
423
+ "grad_norm": 5.09375,
424
+ "learning_rate": 2.2340301636289527e-05,
425
+ "loss": 1.312,
426
+ "step": 28500
427
+ },
428
+ {
429
+ "epoch": 1.688697373784429,
430
+ "grad_norm": 4.71875,
431
+ "learning_rate": 2.185504377025952e-05,
432
+ "loss": 1.3196,
433
+ "step": 29000
434
+ },
435
+ {
436
+ "epoch": 1.7178128457462294,
437
+ "grad_norm": 4.46875,
438
+ "learning_rate": 2.136978590422951e-05,
439
+ "loss": 1.3149,
440
+ "step": 29500
441
+ },
442
+ {
443
+ "epoch": 1.7469283177080301,
444
+ "grad_norm": 4.71875,
445
+ "learning_rate": 2.0884528038199498e-05,
446
+ "loss": 1.3142,
447
+ "step": 30000
448
+ },
449
+ {
450
+ "epoch": 1.7469283177080301,
451
+ "eval_accuracy": 0.7175331317769543,
452
+ "eval_loss": 1.2938237190246582,
453
+ "eval_runtime": 6.453,
454
+ "eval_samples_per_second": 90.036,
455
+ "eval_steps_per_second": 2.944,
456
+ "step": 30000
457
+ },
458
+ {
459
+ "epoch": 1.7760437896698305,
460
+ "grad_norm": 5.03125,
461
+ "learning_rate": 2.039927017216949e-05,
462
+ "loss": 1.3115,
463
+ "step": 30500
464
+ },
465
+ {
466
+ "epoch": 1.8051592616316312,
467
+ "grad_norm": 4.90625,
468
+ "learning_rate": 1.9914012306139485e-05,
469
+ "loss": 1.3155,
470
+ "step": 31000
471
+ },
472
+ {
473
+ "epoch": 1.8342747335934315,
474
+ "grad_norm": 5.0,
475
+ "learning_rate": 1.9428754440109477e-05,
476
+ "loss": 1.3179,
477
+ "step": 31500
478
+ },
479
+ {
480
+ "epoch": 1.863390205555232,
481
+ "grad_norm": 5.21875,
482
+ "learning_rate": 1.8943496574079468e-05,
483
+ "loss": 1.3091,
484
+ "step": 32000
485
+ },
486
+ {
487
+ "epoch": 1.8925056775170326,
488
+ "grad_norm": 4.46875,
489
+ "learning_rate": 1.8458238708049457e-05,
490
+ "loss": 1.3148,
491
+ "step": 32500
492
+ },
493
+ {
494
+ "epoch": 1.921621149478833,
495
+ "grad_norm": 5.15625,
496
+ "learning_rate": 1.7972980842019448e-05,
497
+ "loss": 1.3091,
498
+ "step": 33000
499
+ },
500
+ {
501
+ "epoch": 1.9507366214406336,
502
+ "grad_norm": 5.03125,
503
+ "learning_rate": 1.7487722975989443e-05,
504
+ "loss": 1.3176,
505
+ "step": 33500
506
+ },
507
+ {
508
+ "epoch": 1.979852093402434,
509
+ "grad_norm": 4.625,
510
+ "learning_rate": 1.7002465109959435e-05,
511
+ "loss": 1.3135,
512
+ "step": 34000
513
+ },
514
+ {
515
+ "epoch": 2.0089675653642347,
516
+ "grad_norm": 5.03125,
517
+ "learning_rate": 1.6517207243929427e-05,
518
+ "loss": 1.3134,
519
+ "step": 34500
520
+ },
521
+ {
522
+ "epoch": 2.038083037326035,
523
+ "grad_norm": 4.875,
524
+ "learning_rate": 1.6031949377899415e-05,
525
+ "loss": 1.3061,
526
+ "step": 35000
527
+ },
528
+ {
529
+ "epoch": 2.0671985092878353,
530
+ "grad_norm": 4.84375,
531
+ "learning_rate": 1.5546691511869406e-05,
532
+ "loss": 1.3053,
533
+ "step": 35500
534
+ },
535
+ {
536
+ "epoch": 2.096313981249636,
537
+ "grad_norm": 4.40625,
538
+ "learning_rate": 1.5061433645839398e-05,
539
+ "loss": 1.3102,
540
+ "step": 36000
541
+ },
542
+ {
543
+ "epoch": 2.1254294532114364,
544
+ "grad_norm": 4.90625,
545
+ "learning_rate": 1.4576175779809393e-05,
546
+ "loss": 1.3137,
547
+ "step": 36500
548
+ },
549
+ {
550
+ "epoch": 2.154544925173237,
551
+ "grad_norm": 4.75,
552
+ "learning_rate": 1.4090917913779383e-05,
553
+ "loss": 1.306,
554
+ "step": 37000
555
+ },
556
+ {
557
+ "epoch": 2.1836603971350375,
558
+ "grad_norm": 4.9375,
559
+ "learning_rate": 1.3605660047749375e-05,
560
+ "loss": 1.3029,
561
+ "step": 37500
562
+ },
563
+ {
564
+ "epoch": 2.212775869096838,
565
+ "grad_norm": 5.34375,
566
+ "learning_rate": 1.3120402181719366e-05,
567
+ "loss": 1.3068,
568
+ "step": 38000
569
+ },
570
+ {
571
+ "epoch": 2.2418913410586385,
572
+ "grad_norm": 4.96875,
573
+ "learning_rate": 1.2635144315689356e-05,
574
+ "loss": 1.3033,
575
+ "step": 38500
576
+ },
577
+ {
578
+ "epoch": 2.2710068130204393,
579
+ "grad_norm": 5.46875,
580
+ "learning_rate": 1.214988644965935e-05,
581
+ "loss": 1.3104,
582
+ "step": 39000
583
+ },
584
+ {
585
+ "epoch": 2.3001222849822396,
586
+ "grad_norm": 4.71875,
587
+ "learning_rate": 1.1664628583629341e-05,
588
+ "loss": 1.3058,
589
+ "step": 39500
590
+ },
591
+ {
592
+ "epoch": 2.32923775694404,
593
+ "grad_norm": 4.53125,
594
+ "learning_rate": 1.1179370717599333e-05,
595
+ "loss": 1.3064,
596
+ "step": 40000
597
+ },
598
+ {
599
+ "epoch": 2.32923775694404,
600
+ "eval_accuracy": 0.7175919626253005,
601
+ "eval_loss": 1.2843679189682007,
602
+ "eval_runtime": 12.4622,
603
+ "eval_samples_per_second": 46.621,
604
+ "eval_steps_per_second": 1.525,
605
+ "step": 40000
606
+ }
607
+ ],
608
+ "logging_steps": 500,
609
+ "max_steps": 51519,
610
+ "num_input_tokens_seen": 0,
611
+ "num_train_epochs": 3,
612
+ "save_steps": 10000,
613
+ "total_flos": 2.5163609407488e+18,
614
+ "train_batch_size": 16,
615
+ "trial_name": null,
616
+ "trial_params": null
617
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b72e646bb40995a7e3ddeabf4857d1aebbd0ce8672eb70c45afd1146be1ff620
3
+ size 5048