RaiBP commited on
Commit
cb11430
·
1 Parent(s): dc56381

upload initial files

Browse files
README.md CHANGED
@@ -1,3 +1,58 @@
1
  ---
2
- license: mit
 
 
 
 
 
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ tags:
3
+ - generated_from_trainer
4
+ datasets:
5
+ - RaiBP/openwebtext2-first-30-chunks-english-only-examples
6
+ model-index:
7
+ - name: training_nen
8
+ results: []
9
  ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # training_nen
15
+
16
+ This model was trained from scratch on the RaiBP/openwebtext2-first-30-chunks-english-only-examples dataset.
17
+
18
+ ## Model description
19
+
20
+ More information needed
21
+
22
+ ## Intended uses & limitations
23
+
24
+ More information needed
25
+
26
+ ## Training and evaluation data
27
+
28
+ More information needed
29
+
30
+ ## Training procedure
31
+
32
+ ### Training hyperparameters
33
+
34
+ The following hyperparameters were used during training:
35
+ - learning_rate: 0.005
36
+ - train_batch_size: 8
37
+ - eval_batch_size: 8
38
+ - seed: 42
39
+ - distributed_type: multi-GPU
40
+ - num_devices: 2
41
+ - gradient_accumulation_steps: 4
42
+ - total_train_batch_size: 64
43
+ - total_eval_batch_size: 16
44
+ - optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
45
+ - lr_scheduler_type: linear
46
+ - lr_scheduler_warmup_steps: 1000
47
+ - num_epochs: 1.0
48
+
49
+ ### Training results
50
+
51
+
52
+
53
+ ### Framework versions
54
+
55
+ - Transformers 4.37.0.dev0
56
+ - Pytorch 1.13.0
57
+ - Datasets 2.16.0
58
+ - Tokenizers 0.15.0
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "train_loss": 3.391347985035243,
4
+ "train_runtime": 175663.9283,
5
+ "train_samples": 2944169,
6
+ "train_samples_per_second": 16.76,
7
+ "train_steps_per_second": 0.262
8
+ }
config.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "./training",
3
+ "activation_function": "gelu_new",
4
+ "architectures": [
5
+ "GPT2LMHeadModel"
6
+ ],
7
+ "attn_pdrop": 0.0,
8
+ "bos_token_id": 50256,
9
+ "embd_pdrop": 0.0,
10
+ "eos_token_id": 50256,
11
+ "initializer_range": 0.02,
12
+ "layer_norm_epsilon": 1e-05,
13
+ "model_type": "gpt2",
14
+ "n_ctx": 1024,
15
+ "n_embd": 768,
16
+ "n_head": 12,
17
+ "n_inner": null,
18
+ "n_layer": 12,
19
+ "n_positions": 1024,
20
+ "reorder_and_upcast_attn": false,
21
+ "resid_pdrop": 0.0,
22
+ "scale_attn_by_inverse_layer_idx": false,
23
+ "scale_attn_weights": true,
24
+ "summary_activation": null,
25
+ "summary_first_dropout": 0.1,
26
+ "summary_proj_to_labels": true,
27
+ "summary_type": "cls_index",
28
+ "summary_use_proj": true,
29
+ "task_specific_params": {
30
+ "text-generation": {
31
+ "do_sample": true,
32
+ "max_length": 50
33
+ }
34
+ },
35
+ "torch_dtype": "float32",
36
+ "transformers_version": "4.37.0.dev0",
37
+ "use_cache": true,
38
+ "vocab_size": 50257
39
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 50256,
4
+ "eos_token_id": 50256,
5
+ "transformers_version": "4.37.0.dev0"
6
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
runs/events.out.tfevents.1704577514.pytorchRB.11761.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:735fc90bbed117de2f99d0b4afd3e2d368da330ce0152cebed4f6731acb51784
3
+ size 19566
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|endoftext|>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|endoftext|>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<|endoftext|>",
18
+ "lstrip": false,
19
+ "normalized": true,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<|endoftext|>",
25
+ "lstrip": false,
26
+ "normalized": true,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
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
+ "50256": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": true,
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
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "train_loss": 3.391347985035243,
4
+ "train_runtime": 175663.9283,
5
+ "train_samples": 2944169,
6
+ "train_samples_per_second": 16.76,
7
+ "train_steps_per_second": 0.262
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,582 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.9999836966268321,
5
+ "eval_steps": 500,
6
+ "global_step": 46002,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01,
13
+ "learning_rate": 0.0025,
14
+ "loss": 6.1489,
15
+ "step": 500
16
+ },
17
+ {
18
+ "epoch": 0.02,
19
+ "learning_rate": 0.005,
20
+ "loss": 4.849,
21
+ "step": 1000
22
+ },
23
+ {
24
+ "epoch": 0.03,
25
+ "learning_rate": 0.004944446913470513,
26
+ "loss": 4.3185,
27
+ "step": 1500
28
+ },
29
+ {
30
+ "epoch": 0.04,
31
+ "learning_rate": 0.004888893826941025,
32
+ "loss": 4.0835,
33
+ "step": 2000
34
+ },
35
+ {
36
+ "epoch": 0.05,
37
+ "learning_rate": 0.004833340740411538,
38
+ "loss": 3.9459,
39
+ "step": 2500
40
+ },
41
+ {
42
+ "epoch": 0.07,
43
+ "learning_rate": 0.0047777876538820496,
44
+ "loss": 3.8551,
45
+ "step": 3000
46
+ },
47
+ {
48
+ "epoch": 0.08,
49
+ "learning_rate": 0.004722234567352562,
50
+ "loss": 3.7909,
51
+ "step": 3500
52
+ },
53
+ {
54
+ "epoch": 0.09,
55
+ "learning_rate": 0.004666681480823075,
56
+ "loss": 3.7385,
57
+ "step": 4000
58
+ },
59
+ {
60
+ "epoch": 0.1,
61
+ "learning_rate": 0.004611128394293587,
62
+ "loss": 3.6979,
63
+ "step": 4500
64
+ },
65
+ {
66
+ "epoch": 0.11,
67
+ "learning_rate": 0.004555575307764099,
68
+ "loss": 3.6587,
69
+ "step": 5000
70
+ },
71
+ {
72
+ "epoch": 0.12,
73
+ "learning_rate": 0.0045000222212346125,
74
+ "loss": 3.6335,
75
+ "step": 5500
76
+ },
77
+ {
78
+ "epoch": 0.13,
79
+ "learning_rate": 0.004444469134705124,
80
+ "loss": 3.6055,
81
+ "step": 6000
82
+ },
83
+ {
84
+ "epoch": 0.14,
85
+ "learning_rate": 0.004388916048175637,
86
+ "loss": 3.582,
87
+ "step": 6500
88
+ },
89
+ {
90
+ "epoch": 0.15,
91
+ "learning_rate": 0.004333362961646149,
92
+ "loss": 3.5627,
93
+ "step": 7000
94
+ },
95
+ {
96
+ "epoch": 0.16,
97
+ "learning_rate": 0.004277809875116662,
98
+ "loss": 3.5455,
99
+ "step": 7500
100
+ },
101
+ {
102
+ "epoch": 0.17,
103
+ "learning_rate": 0.004222256788587174,
104
+ "loss": 3.5307,
105
+ "step": 8000
106
+ },
107
+ {
108
+ "epoch": 0.18,
109
+ "learning_rate": 0.004166703702057686,
110
+ "loss": 3.5155,
111
+ "step": 8500
112
+ },
113
+ {
114
+ "epoch": 0.2,
115
+ "learning_rate": 0.004111150615528199,
116
+ "loss": 3.5015,
117
+ "step": 9000
118
+ },
119
+ {
120
+ "epoch": 0.21,
121
+ "learning_rate": 0.004055597528998711,
122
+ "loss": 3.4861,
123
+ "step": 9500
124
+ },
125
+ {
126
+ "epoch": 0.22,
127
+ "learning_rate": 0.004000044442469224,
128
+ "loss": 3.4746,
129
+ "step": 10000
130
+ },
131
+ {
132
+ "epoch": 0.23,
133
+ "learning_rate": 0.003944491355939736,
134
+ "loss": 3.4666,
135
+ "step": 10500
136
+ },
137
+ {
138
+ "epoch": 0.24,
139
+ "learning_rate": 0.0038889382694102487,
140
+ "loss": 3.4558,
141
+ "step": 11000
142
+ },
143
+ {
144
+ "epoch": 0.25,
145
+ "learning_rate": 0.003833385182880761,
146
+ "loss": 3.4457,
147
+ "step": 11500
148
+ },
149
+ {
150
+ "epoch": 0.26,
151
+ "learning_rate": 0.0037778320963512734,
152
+ "loss": 3.4388,
153
+ "step": 12000
154
+ },
155
+ {
156
+ "epoch": 0.27,
157
+ "learning_rate": 0.0037222790098217855,
158
+ "loss": 3.4297,
159
+ "step": 12500
160
+ },
161
+ {
162
+ "epoch": 0.28,
163
+ "learning_rate": 0.0036667259232922985,
164
+ "loss": 3.4141,
165
+ "step": 13000
166
+ },
167
+ {
168
+ "epoch": 0.29,
169
+ "learning_rate": 0.0036111728367628107,
170
+ "loss": 3.4104,
171
+ "step": 13500
172
+ },
173
+ {
174
+ "epoch": 0.3,
175
+ "learning_rate": 0.0035556197502333233,
176
+ "loss": 3.4001,
177
+ "step": 14000
178
+ },
179
+ {
180
+ "epoch": 0.32,
181
+ "learning_rate": 0.0035000666637038354,
182
+ "loss": 3.3922,
183
+ "step": 14500
184
+ },
185
+ {
186
+ "epoch": 0.33,
187
+ "learning_rate": 0.003444513577174348,
188
+ "loss": 3.3842,
189
+ "step": 15000
190
+ },
191
+ {
192
+ "epoch": 0.34,
193
+ "learning_rate": 0.00338896049064486,
194
+ "loss": 3.3775,
195
+ "step": 15500
196
+ },
197
+ {
198
+ "epoch": 0.35,
199
+ "learning_rate": 0.0033334074041153727,
200
+ "loss": 3.3712,
201
+ "step": 16000
202
+ },
203
+ {
204
+ "epoch": 0.36,
205
+ "learning_rate": 0.003277854317585885,
206
+ "loss": 3.3677,
207
+ "step": 16500
208
+ },
209
+ {
210
+ "epoch": 0.37,
211
+ "learning_rate": 0.0032223012310563974,
212
+ "loss": 3.3633,
213
+ "step": 17000
214
+ },
215
+ {
216
+ "epoch": 0.38,
217
+ "learning_rate": 0.0031667481445269096,
218
+ "loss": 3.3547,
219
+ "step": 17500
220
+ },
221
+ {
222
+ "epoch": 0.39,
223
+ "learning_rate": 0.0031111950579974226,
224
+ "loss": 3.3504,
225
+ "step": 18000
226
+ },
227
+ {
228
+ "epoch": 0.4,
229
+ "learning_rate": 0.0030556419714679347,
230
+ "loss": 3.3417,
231
+ "step": 18500
232
+ },
233
+ {
234
+ "epoch": 0.41,
235
+ "learning_rate": 0.0030000888849384473,
236
+ "loss": 3.3381,
237
+ "step": 19000
238
+ },
239
+ {
240
+ "epoch": 0.42,
241
+ "learning_rate": 0.00294453579840896,
242
+ "loss": 3.3331,
243
+ "step": 19500
244
+ },
245
+ {
246
+ "epoch": 0.43,
247
+ "learning_rate": 0.002888982711879472,
248
+ "loss": 3.3252,
249
+ "step": 20000
250
+ },
251
+ {
252
+ "epoch": 0.45,
253
+ "learning_rate": 0.0028334296253499846,
254
+ "loss": 3.3194,
255
+ "step": 20500
256
+ },
257
+ {
258
+ "epoch": 0.46,
259
+ "learning_rate": 0.0027778765388204968,
260
+ "loss": 3.3189,
261
+ "step": 21000
262
+ },
263
+ {
264
+ "epoch": 0.47,
265
+ "learning_rate": 0.0027223234522910093,
266
+ "loss": 3.3097,
267
+ "step": 21500
268
+ },
269
+ {
270
+ "epoch": 0.48,
271
+ "learning_rate": 0.0026667703657615215,
272
+ "loss": 3.3074,
273
+ "step": 22000
274
+ },
275
+ {
276
+ "epoch": 0.49,
277
+ "learning_rate": 0.0026112172792320345,
278
+ "loss": 3.3042,
279
+ "step": 22500
280
+ },
281
+ {
282
+ "epoch": 0.5,
283
+ "learning_rate": 0.0025556641927025467,
284
+ "loss": 3.2946,
285
+ "step": 23000
286
+ },
287
+ {
288
+ "epoch": 0.51,
289
+ "learning_rate": 0.0025001111061730592,
290
+ "loss": 3.2915,
291
+ "step": 23500
292
+ },
293
+ {
294
+ "epoch": 0.52,
295
+ "learning_rate": 0.0024445580196435714,
296
+ "loss": 3.2863,
297
+ "step": 24000
298
+ },
299
+ {
300
+ "epoch": 0.53,
301
+ "learning_rate": 0.002389004933114084,
302
+ "loss": 3.2838,
303
+ "step": 24500
304
+ },
305
+ {
306
+ "epoch": 0.54,
307
+ "learning_rate": 0.0023334518465845965,
308
+ "loss": 3.2779,
309
+ "step": 25000
310
+ },
311
+ {
312
+ "epoch": 0.55,
313
+ "learning_rate": 0.0022778987600551087,
314
+ "loss": 3.2719,
315
+ "step": 25500
316
+ },
317
+ {
318
+ "epoch": 0.57,
319
+ "learning_rate": 0.0022223456735256213,
320
+ "loss": 3.2683,
321
+ "step": 26000
322
+ },
323
+ {
324
+ "epoch": 0.58,
325
+ "learning_rate": 0.0021667925869961334,
326
+ "loss": 3.2655,
327
+ "step": 26500
328
+ },
329
+ {
330
+ "epoch": 0.59,
331
+ "learning_rate": 0.002111239500466646,
332
+ "loss": 3.2607,
333
+ "step": 27000
334
+ },
335
+ {
336
+ "epoch": 0.6,
337
+ "learning_rate": 0.0020556864139371586,
338
+ "loss": 3.2536,
339
+ "step": 27500
340
+ },
341
+ {
342
+ "epoch": 0.61,
343
+ "learning_rate": 0.0020001333274076707,
344
+ "loss": 3.2529,
345
+ "step": 28000
346
+ },
347
+ {
348
+ "epoch": 0.62,
349
+ "learning_rate": 0.0019445802408781833,
350
+ "loss": 3.2472,
351
+ "step": 28500
352
+ },
353
+ {
354
+ "epoch": 0.63,
355
+ "learning_rate": 0.0018890271543486957,
356
+ "loss": 3.2371,
357
+ "step": 29000
358
+ },
359
+ {
360
+ "epoch": 0.64,
361
+ "learning_rate": 0.001833474067819208,
362
+ "loss": 3.2356,
363
+ "step": 29500
364
+ },
365
+ {
366
+ "epoch": 0.65,
367
+ "learning_rate": 0.0017779209812897204,
368
+ "loss": 3.235,
369
+ "step": 30000
370
+ },
371
+ {
372
+ "epoch": 0.66,
373
+ "learning_rate": 0.0017223678947602327,
374
+ "loss": 3.2278,
375
+ "step": 30500
376
+ },
377
+ {
378
+ "epoch": 0.67,
379
+ "learning_rate": 0.0016668148082307453,
380
+ "loss": 3.2242,
381
+ "step": 31000
382
+ },
383
+ {
384
+ "epoch": 0.68,
385
+ "learning_rate": 0.0016112617217012577,
386
+ "loss": 3.2187,
387
+ "step": 31500
388
+ },
389
+ {
390
+ "epoch": 0.7,
391
+ "learning_rate": 0.0015557086351717703,
392
+ "loss": 3.2166,
393
+ "step": 32000
394
+ },
395
+ {
396
+ "epoch": 0.71,
397
+ "learning_rate": 0.0015001555486422826,
398
+ "loss": 3.2124,
399
+ "step": 32500
400
+ },
401
+ {
402
+ "epoch": 0.72,
403
+ "learning_rate": 0.0014446024621127952,
404
+ "loss": 3.2056,
405
+ "step": 33000
406
+ },
407
+ {
408
+ "epoch": 0.73,
409
+ "learning_rate": 0.0013890493755833076,
410
+ "loss": 3.2004,
411
+ "step": 33500
412
+ },
413
+ {
414
+ "epoch": 0.74,
415
+ "learning_rate": 0.00133349628905382,
416
+ "loss": 3.1971,
417
+ "step": 34000
418
+ },
419
+ {
420
+ "epoch": 0.75,
421
+ "learning_rate": 0.0012779432025243323,
422
+ "loss": 3.1939,
423
+ "step": 34500
424
+ },
425
+ {
426
+ "epoch": 0.76,
427
+ "learning_rate": 0.0012223901159948447,
428
+ "loss": 3.1899,
429
+ "step": 35000
430
+ },
431
+ {
432
+ "epoch": 0.77,
433
+ "learning_rate": 0.0011668370294653572,
434
+ "loss": 3.1844,
435
+ "step": 35500
436
+ },
437
+ {
438
+ "epoch": 0.78,
439
+ "learning_rate": 0.0011112839429358696,
440
+ "loss": 3.1825,
441
+ "step": 36000
442
+ },
443
+ {
444
+ "epoch": 0.79,
445
+ "learning_rate": 0.001055730856406382,
446
+ "loss": 3.1777,
447
+ "step": 36500
448
+ },
449
+ {
450
+ "epoch": 0.8,
451
+ "learning_rate": 0.0010001777698768943,
452
+ "loss": 3.1737,
453
+ "step": 37000
454
+ },
455
+ {
456
+ "epoch": 0.82,
457
+ "learning_rate": 0.0009446246833474068,
458
+ "loss": 3.1702,
459
+ "step": 37500
460
+ },
461
+ {
462
+ "epoch": 0.83,
463
+ "learning_rate": 0.0008890715968179192,
464
+ "loss": 3.1652,
465
+ "step": 38000
466
+ },
467
+ {
468
+ "epoch": 0.84,
469
+ "learning_rate": 0.0008335185102884317,
470
+ "loss": 3.1591,
471
+ "step": 38500
472
+ },
473
+ {
474
+ "epoch": 0.85,
475
+ "learning_rate": 0.0007779654237589441,
476
+ "loss": 3.156,
477
+ "step": 39000
478
+ },
479
+ {
480
+ "epoch": 0.86,
481
+ "learning_rate": 0.0007224123372294565,
482
+ "loss": 3.1518,
483
+ "step": 39500
484
+ },
485
+ {
486
+ "epoch": 0.87,
487
+ "learning_rate": 0.0006668592506999689,
488
+ "loss": 3.1452,
489
+ "step": 40000
490
+ },
491
+ {
492
+ "epoch": 0.88,
493
+ "learning_rate": 0.0006113061641704813,
494
+ "loss": 3.1406,
495
+ "step": 40500
496
+ },
497
+ {
498
+ "epoch": 0.89,
499
+ "learning_rate": 0.0005557530776409938,
500
+ "loss": 3.1359,
501
+ "step": 41000
502
+ },
503
+ {
504
+ "epoch": 0.9,
505
+ "learning_rate": 0.0005001999911115062,
506
+ "loss": 3.135,
507
+ "step": 41500
508
+ },
509
+ {
510
+ "epoch": 0.91,
511
+ "learning_rate": 0.0004446469045820186,
512
+ "loss": 3.1247,
513
+ "step": 42000
514
+ },
515
+ {
516
+ "epoch": 0.92,
517
+ "learning_rate": 0.000389093818052531,
518
+ "loss": 3.1266,
519
+ "step": 42500
520
+ },
521
+ {
522
+ "epoch": 0.93,
523
+ "learning_rate": 0.00033354073152304343,
524
+ "loss": 3.1242,
525
+ "step": 43000
526
+ },
527
+ {
528
+ "epoch": 0.95,
529
+ "learning_rate": 0.00027798764499355585,
530
+ "loss": 3.12,
531
+ "step": 43500
532
+ },
533
+ {
534
+ "epoch": 0.96,
535
+ "learning_rate": 0.00022243455846406826,
536
+ "loss": 3.119,
537
+ "step": 44000
538
+ },
539
+ {
540
+ "epoch": 0.97,
541
+ "learning_rate": 0.0001668814719345807,
542
+ "loss": 3.1099,
543
+ "step": 44500
544
+ },
545
+ {
546
+ "epoch": 0.98,
547
+ "learning_rate": 0.0001113283854050931,
548
+ "loss": 3.1032,
549
+ "step": 45000
550
+ },
551
+ {
552
+ "epoch": 0.99,
553
+ "learning_rate": 5.577529887560553e-05,
554
+ "loss": 3.1045,
555
+ "step": 45500
556
+ },
557
+ {
558
+ "epoch": 1.0,
559
+ "learning_rate": 2.222123461179503e-07,
560
+ "loss": 3.1027,
561
+ "step": 46000
562
+ },
563
+ {
564
+ "epoch": 1.0,
565
+ "step": 46002,
566
+ "total_flos": 1.538554399872254e+18,
567
+ "train_loss": 3.391347985035243,
568
+ "train_runtime": 175663.9283,
569
+ "train_samples_per_second": 16.76,
570
+ "train_steps_per_second": 0.262
571
+ }
572
+ ],
573
+ "logging_steps": 500,
574
+ "max_steps": 46002,
575
+ "num_input_tokens_seen": 0,
576
+ "num_train_epochs": 1,
577
+ "save_steps": 5000,
578
+ "total_flos": 1.538554399872254e+18,
579
+ "train_batch_size": 8,
580
+ "trial_name": null,
581
+ "trial_params": null
582
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:50f69e0dfecf25900229cfd973e84e5af05b574c025f3e4b20e2c92cfb0ac3b5
3
+ size 4219
training_log.log ADDED
The diff for this file is too large to render. See raw diff
 
vocab.json ADDED
The diff for this file is too large to render. See raw diff