ylacombe HF staff commited on
Commit
92f058b
1 Parent(s): f3422b5

End of training

Browse files
README.md CHANGED
@@ -2,6 +2,8 @@
2
  license: mit
3
  base_model: facebook/w2v-bert-2.0
4
  tags:
 
 
5
  - generated_from_trainer
6
  metrics:
7
  - wer
@@ -15,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # wav2vec2-bert-CV16-en-libri
17
 
18
- This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.2870
21
- - Wer: 0.2577
22
- - Cer: 0.0659
23
 
24
  ## Model description
25
 
 
2
  license: mit
3
  base_model: facebook/w2v-bert-2.0
4
  tags:
5
+ - automatic-speech-recognition
6
+ - librispeech_asr
7
  - generated_from_trainer
8
  metrics:
9
  - wer
 
17
 
18
  # wav2vec2-bert-CV16-en-libri
19
 
20
+ This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the LIBRISPEECH_ASR - CLEAN dataset.
21
  It achieves the following results on the evaluation set:
22
+ - Loss: 0.2206
23
+ - Wer: 0.1924
24
+ - Cer: 0.0483
25
 
26
  ## Model description
27
 
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_cer": 0.04829169911539767,
4
+ "eval_loss": 0.22062508761882782,
5
+ "eval_runtime": 59.6361,
6
+ "eval_samples": 2528,
7
+ "eval_samples_per_second": 42.39,
8
+ "eval_steps_per_second": 1.191,
9
+ "eval_wer": 0.1923713703515028,
10
+ "train_loss": 1.5876106701113961,
11
+ "train_runtime": 5725.9395,
12
+ "train_samples": 28538,
13
+ "train_samples_per_second": 14.952,
14
+ "train_steps_per_second": 0.207
15
+ }
eval_results.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_cer": 0.04829169911539767,
4
+ "eval_loss": 0.22062508761882782,
5
+ "eval_runtime": 59.6361,
6
+ "eval_samples": 2528,
7
+ "eval_samples_per_second": 42.39,
8
+ "eval_steps_per_second": 1.191,
9
+ "eval_wer": 0.1923713703515028
10
+ }
runs/Jan16_10-42-05_vorace/events.out.tfevents.1705407634.vorace.462641.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a2bb2f6c69c822ad68f8a6755dc38a96c6c8ab6608dcedb34950a2aa48c33793
3
+ size 405
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "train_loss": 1.5876106701113961,
4
+ "train_runtime": 5725.9395,
5
+ "train_samples": 28538,
6
+ "train_samples_per_second": 14.952,
7
+ "train_steps_per_second": 0.207
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,1492 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.9962168978562422,
5
+ "eval_steps": 250,
6
+ "global_step": 1188,
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": 1.5000000000000002e-08,
14
+ "loss": 4.6482,
15
+ "step": 5
16
+ },
17
+ {
18
+ "epoch": 0.03,
19
+ "learning_rate": 3.0000000000000004e-08,
20
+ "loss": 4.7026,
21
+ "step": 10
22
+ },
23
+ {
24
+ "epoch": 0.04,
25
+ "learning_rate": 4.5e-08,
26
+ "loss": 4.6854,
27
+ "step": 15
28
+ },
29
+ {
30
+ "epoch": 0.05,
31
+ "learning_rate": 6.000000000000001e-08,
32
+ "loss": 4.7824,
33
+ "step": 20
34
+ },
35
+ {
36
+ "epoch": 0.06,
37
+ "learning_rate": 7.500000000000001e-08,
38
+ "loss": 4.6708,
39
+ "step": 25
40
+ },
41
+ {
42
+ "epoch": 0.08,
43
+ "learning_rate": 9e-08,
44
+ "loss": 4.6248,
45
+ "step": 30
46
+ },
47
+ {
48
+ "epoch": 0.09,
49
+ "learning_rate": 1.05e-07,
50
+ "loss": 4.7019,
51
+ "step": 35
52
+ },
53
+ {
54
+ "epoch": 0.1,
55
+ "learning_rate": 1.2000000000000002e-07,
56
+ "loss": 4.6747,
57
+ "step": 40
58
+ },
59
+ {
60
+ "epoch": 0.11,
61
+ "learning_rate": 1.35e-07,
62
+ "loss": 4.6209,
63
+ "step": 45
64
+ },
65
+ {
66
+ "epoch": 0.13,
67
+ "learning_rate": 1.5000000000000002e-07,
68
+ "loss": 4.6223,
69
+ "step": 50
70
+ },
71
+ {
72
+ "epoch": 0.14,
73
+ "learning_rate": 1.6499999999999998e-07,
74
+ "loss": 4.5145,
75
+ "step": 55
76
+ },
77
+ {
78
+ "epoch": 0.15,
79
+ "learning_rate": 1.8e-07,
80
+ "loss": 4.5692,
81
+ "step": 60
82
+ },
83
+ {
84
+ "epoch": 0.16,
85
+ "learning_rate": 1.9499999999999999e-07,
86
+ "loss": 4.4948,
87
+ "step": 65
88
+ },
89
+ {
90
+ "epoch": 0.18,
91
+ "learning_rate": 2.1e-07,
92
+ "loss": 4.5019,
93
+ "step": 70
94
+ },
95
+ {
96
+ "epoch": 0.19,
97
+ "learning_rate": 2.25e-07,
98
+ "loss": 4.4425,
99
+ "step": 75
100
+ },
101
+ {
102
+ "epoch": 0.2,
103
+ "learning_rate": 2.4000000000000003e-07,
104
+ "loss": 4.4318,
105
+ "step": 80
106
+ },
107
+ {
108
+ "epoch": 0.21,
109
+ "learning_rate": 2.5500000000000005e-07,
110
+ "loss": 4.428,
111
+ "step": 85
112
+ },
113
+ {
114
+ "epoch": 0.23,
115
+ "learning_rate": 2.7e-07,
116
+ "loss": 4.2983,
117
+ "step": 90
118
+ },
119
+ {
120
+ "epoch": 0.24,
121
+ "learning_rate": 2.85e-07,
122
+ "loss": 4.228,
123
+ "step": 95
124
+ },
125
+ {
126
+ "epoch": 0.25,
127
+ "learning_rate": 2.97e-07,
128
+ "loss": 4.2784,
129
+ "step": 100
130
+ },
131
+ {
132
+ "epoch": 0.26,
133
+ "learning_rate": 3.12e-07,
134
+ "loss": 4.1254,
135
+ "step": 105
136
+ },
137
+ {
138
+ "epoch": 0.28,
139
+ "learning_rate": 3.27e-07,
140
+ "loss": 4.0566,
141
+ "step": 110
142
+ },
143
+ {
144
+ "epoch": 0.29,
145
+ "learning_rate": 3.42e-07,
146
+ "loss": 4.0241,
147
+ "step": 115
148
+ },
149
+ {
150
+ "epoch": 0.3,
151
+ "learning_rate": 3.5700000000000003e-07,
152
+ "loss": 4.0261,
153
+ "step": 120
154
+ },
155
+ {
156
+ "epoch": 0.32,
157
+ "learning_rate": 3.72e-07,
158
+ "loss": 3.864,
159
+ "step": 125
160
+ },
161
+ {
162
+ "epoch": 0.33,
163
+ "learning_rate": 3.87e-07,
164
+ "loss": 3.8068,
165
+ "step": 130
166
+ },
167
+ {
168
+ "epoch": 0.34,
169
+ "learning_rate": 4.02e-07,
170
+ "loss": 3.7553,
171
+ "step": 135
172
+ },
173
+ {
174
+ "epoch": 0.35,
175
+ "learning_rate": 4.17e-07,
176
+ "loss": 3.6628,
177
+ "step": 140
178
+ },
179
+ {
180
+ "epoch": 0.37,
181
+ "learning_rate": 4.32e-07,
182
+ "loss": 3.5843,
183
+ "step": 145
184
+ },
185
+ {
186
+ "epoch": 0.38,
187
+ "learning_rate": 4.47e-07,
188
+ "loss": 3.5552,
189
+ "step": 150
190
+ },
191
+ {
192
+ "epoch": 0.39,
193
+ "learning_rate": 4.6200000000000003e-07,
194
+ "loss": 3.4307,
195
+ "step": 155
196
+ },
197
+ {
198
+ "epoch": 0.4,
199
+ "learning_rate": 4.77e-07,
200
+ "loss": 3.3634,
201
+ "step": 160
202
+ },
203
+ {
204
+ "epoch": 0.42,
205
+ "learning_rate": 4.92e-07,
206
+ "loss": 3.3041,
207
+ "step": 165
208
+ },
209
+ {
210
+ "epoch": 0.43,
211
+ "learning_rate": 5.07e-07,
212
+ "loss": 3.2511,
213
+ "step": 170
214
+ },
215
+ {
216
+ "epoch": 0.44,
217
+ "learning_rate": 5.219999999999999e-07,
218
+ "loss": 3.1583,
219
+ "step": 175
220
+ },
221
+ {
222
+ "epoch": 0.45,
223
+ "learning_rate": 5.37e-07,
224
+ "loss": 3.1013,
225
+ "step": 180
226
+ },
227
+ {
228
+ "epoch": 0.47,
229
+ "learning_rate": 5.52e-07,
230
+ "loss": 3.0769,
231
+ "step": 185
232
+ },
233
+ {
234
+ "epoch": 0.48,
235
+ "learning_rate": 5.67e-07,
236
+ "loss": 3.0122,
237
+ "step": 190
238
+ },
239
+ {
240
+ "epoch": 0.49,
241
+ "learning_rate": 5.82e-07,
242
+ "loss": 2.9856,
243
+ "step": 195
244
+ },
245
+ {
246
+ "epoch": 0.5,
247
+ "learning_rate": 5.970000000000001e-07,
248
+ "loss": 2.9903,
249
+ "step": 200
250
+ },
251
+ {
252
+ "epoch": 0.52,
253
+ "learning_rate": 6.12e-07,
254
+ "loss": 2.9308,
255
+ "step": 205
256
+ },
257
+ {
258
+ "epoch": 0.53,
259
+ "learning_rate": 6.27e-07,
260
+ "loss": 2.9159,
261
+ "step": 210
262
+ },
263
+ {
264
+ "epoch": 0.54,
265
+ "learning_rate": 6.42e-07,
266
+ "loss": 2.9075,
267
+ "step": 215
268
+ },
269
+ {
270
+ "epoch": 0.55,
271
+ "learning_rate": 6.57e-07,
272
+ "loss": 2.8958,
273
+ "step": 220
274
+ },
275
+ {
276
+ "epoch": 0.57,
277
+ "learning_rate": 6.72e-07,
278
+ "loss": 2.8698,
279
+ "step": 225
280
+ },
281
+ {
282
+ "epoch": 0.58,
283
+ "learning_rate": 6.87e-07,
284
+ "loss": 2.8697,
285
+ "step": 230
286
+ },
287
+ {
288
+ "epoch": 0.59,
289
+ "learning_rate": 7.02e-07,
290
+ "loss": 2.8911,
291
+ "step": 235
292
+ },
293
+ {
294
+ "epoch": 0.61,
295
+ "learning_rate": 7.170000000000001e-07,
296
+ "loss": 2.8506,
297
+ "step": 240
298
+ },
299
+ {
300
+ "epoch": 0.62,
301
+ "learning_rate": 7.32e-07,
302
+ "loss": 2.8522,
303
+ "step": 245
304
+ },
305
+ {
306
+ "epoch": 0.63,
307
+ "learning_rate": 7.47e-07,
308
+ "loss": 2.8812,
309
+ "step": 250
310
+ },
311
+ {
312
+ "epoch": 0.63,
313
+ "eval_cer": 0.9999960063100302,
314
+ "eval_loss": 2.892289161682129,
315
+ "eval_runtime": 59.7132,
316
+ "eval_samples_per_second": 42.336,
317
+ "eval_steps_per_second": 1.189,
318
+ "eval_wer": 1.0,
319
+ "step": 250
320
+ },
321
+ {
322
+ "epoch": 0.64,
323
+ "learning_rate": 7.62e-07,
324
+ "loss": 2.8429,
325
+ "step": 255
326
+ },
327
+ {
328
+ "epoch": 0.66,
329
+ "learning_rate": 7.77e-07,
330
+ "loss": 2.8424,
331
+ "step": 260
332
+ },
333
+ {
334
+ "epoch": 0.67,
335
+ "learning_rate": 7.92e-07,
336
+ "loss": 2.8437,
337
+ "step": 265
338
+ },
339
+ {
340
+ "epoch": 0.68,
341
+ "learning_rate": 8.070000000000001e-07,
342
+ "loss": 2.8541,
343
+ "step": 270
344
+ },
345
+ {
346
+ "epoch": 0.69,
347
+ "learning_rate": 8.22e-07,
348
+ "loss": 2.8411,
349
+ "step": 275
350
+ },
351
+ {
352
+ "epoch": 0.71,
353
+ "learning_rate": 8.370000000000001e-07,
354
+ "loss": 2.8387,
355
+ "step": 280
356
+ },
357
+ {
358
+ "epoch": 0.72,
359
+ "learning_rate": 8.520000000000001e-07,
360
+ "loss": 2.8561,
361
+ "step": 285
362
+ },
363
+ {
364
+ "epoch": 0.73,
365
+ "learning_rate": 8.67e-07,
366
+ "loss": 2.8254,
367
+ "step": 290
368
+ },
369
+ {
370
+ "epoch": 0.74,
371
+ "learning_rate": 8.82e-07,
372
+ "loss": 2.8244,
373
+ "step": 295
374
+ },
375
+ {
376
+ "epoch": 0.76,
377
+ "learning_rate": 8.97e-07,
378
+ "loss": 2.8409,
379
+ "step": 300
380
+ },
381
+ {
382
+ "epoch": 0.77,
383
+ "learning_rate": 9.12e-07,
384
+ "loss": 2.816,
385
+ "step": 305
386
+ },
387
+ {
388
+ "epoch": 0.78,
389
+ "learning_rate": 9.270000000000001e-07,
390
+ "loss": 2.8173,
391
+ "step": 310
392
+ },
393
+ {
394
+ "epoch": 0.79,
395
+ "learning_rate": 9.419999999999999e-07,
396
+ "loss": 2.8253,
397
+ "step": 315
398
+ },
399
+ {
400
+ "epoch": 0.81,
401
+ "learning_rate": 9.57e-07,
402
+ "loss": 2.8185,
403
+ "step": 320
404
+ },
405
+ {
406
+ "epoch": 0.82,
407
+ "learning_rate": 9.72e-07,
408
+ "loss": 2.8046,
409
+ "step": 325
410
+ },
411
+ {
412
+ "epoch": 0.83,
413
+ "learning_rate": 9.87e-07,
414
+ "loss": 2.8048,
415
+ "step": 330
416
+ },
417
+ {
418
+ "epoch": 0.84,
419
+ "learning_rate": 1.002e-06,
420
+ "loss": 2.8177,
421
+ "step": 335
422
+ },
423
+ {
424
+ "epoch": 0.86,
425
+ "learning_rate": 1.017e-06,
426
+ "loss": 2.775,
427
+ "step": 340
428
+ },
429
+ {
430
+ "epoch": 0.87,
431
+ "learning_rate": 1.032e-06,
432
+ "loss": 2.7762,
433
+ "step": 345
434
+ },
435
+ {
436
+ "epoch": 0.88,
437
+ "learning_rate": 1.047e-06,
438
+ "loss": 2.7735,
439
+ "step": 350
440
+ },
441
+ {
442
+ "epoch": 0.9,
443
+ "learning_rate": 1.062e-06,
444
+ "loss": 2.7319,
445
+ "step": 355
446
+ },
447
+ {
448
+ "epoch": 0.91,
449
+ "learning_rate": 1.077e-06,
450
+ "loss": 2.71,
451
+ "step": 360
452
+ },
453
+ {
454
+ "epoch": 0.92,
455
+ "learning_rate": 1.092e-06,
456
+ "loss": 2.6868,
457
+ "step": 365
458
+ },
459
+ {
460
+ "epoch": 0.93,
461
+ "learning_rate": 1.1070000000000002e-06,
462
+ "loss": 2.6709,
463
+ "step": 370
464
+ },
465
+ {
466
+ "epoch": 0.95,
467
+ "learning_rate": 1.122e-06,
468
+ "loss": 2.6141,
469
+ "step": 375
470
+ },
471
+ {
472
+ "epoch": 0.96,
473
+ "learning_rate": 1.137e-06,
474
+ "loss": 2.5824,
475
+ "step": 380
476
+ },
477
+ {
478
+ "epoch": 0.97,
479
+ "learning_rate": 1.152e-06,
480
+ "loss": 2.5791,
481
+ "step": 385
482
+ },
483
+ {
484
+ "epoch": 0.98,
485
+ "learning_rate": 1.167e-06,
486
+ "loss": 2.5124,
487
+ "step": 390
488
+ },
489
+ {
490
+ "epoch": 1.0,
491
+ "learning_rate": 1.179e-06,
492
+ "loss": 2.4623,
493
+ "step": 395
494
+ },
495
+ {
496
+ "epoch": 1.01,
497
+ "learning_rate": 1.1940000000000001e-06,
498
+ "loss": 2.4341,
499
+ "step": 400
500
+ },
501
+ {
502
+ "epoch": 1.02,
503
+ "learning_rate": 1.2090000000000002e-06,
504
+ "loss": 2.3441,
505
+ "step": 405
506
+ },
507
+ {
508
+ "epoch": 1.03,
509
+ "learning_rate": 1.224e-06,
510
+ "loss": 2.2861,
511
+ "step": 410
512
+ },
513
+ {
514
+ "epoch": 1.05,
515
+ "learning_rate": 1.2390000000000001e-06,
516
+ "loss": 2.2725,
517
+ "step": 415
518
+ },
519
+ {
520
+ "epoch": 1.06,
521
+ "learning_rate": 1.254e-06,
522
+ "loss": 2.1615,
523
+ "step": 420
524
+ },
525
+ {
526
+ "epoch": 1.07,
527
+ "learning_rate": 1.269e-06,
528
+ "loss": 2.0869,
529
+ "step": 425
530
+ },
531
+ {
532
+ "epoch": 1.08,
533
+ "learning_rate": 1.284e-06,
534
+ "loss": 2.0713,
535
+ "step": 430
536
+ },
537
+ {
538
+ "epoch": 1.1,
539
+ "learning_rate": 1.299e-06,
540
+ "loss": 1.9363,
541
+ "step": 435
542
+ },
543
+ {
544
+ "epoch": 1.11,
545
+ "learning_rate": 1.314e-06,
546
+ "loss": 1.8633,
547
+ "step": 440
548
+ },
549
+ {
550
+ "epoch": 1.12,
551
+ "learning_rate": 1.3290000000000001e-06,
552
+ "loss": 1.8307,
553
+ "step": 445
554
+ },
555
+ {
556
+ "epoch": 1.13,
557
+ "learning_rate": 1.344e-06,
558
+ "loss": 1.7683,
559
+ "step": 450
560
+ },
561
+ {
562
+ "epoch": 1.15,
563
+ "learning_rate": 1.359e-06,
564
+ "loss": 1.6742,
565
+ "step": 455
566
+ },
567
+ {
568
+ "epoch": 1.16,
569
+ "learning_rate": 1.374e-06,
570
+ "loss": 1.6215,
571
+ "step": 460
572
+ },
573
+ {
574
+ "epoch": 1.17,
575
+ "learning_rate": 1.389e-06,
576
+ "loss": 1.6537,
577
+ "step": 465
578
+ },
579
+ {
580
+ "epoch": 1.19,
581
+ "learning_rate": 1.404e-06,
582
+ "loss": 1.5039,
583
+ "step": 470
584
+ },
585
+ {
586
+ "epoch": 1.2,
587
+ "learning_rate": 1.419e-06,
588
+ "loss": 1.4679,
589
+ "step": 475
590
+ },
591
+ {
592
+ "epoch": 1.21,
593
+ "learning_rate": 1.4340000000000002e-06,
594
+ "loss": 1.4565,
595
+ "step": 480
596
+ },
597
+ {
598
+ "epoch": 1.22,
599
+ "learning_rate": 1.449e-06,
600
+ "loss": 1.3904,
601
+ "step": 485
602
+ },
603
+ {
604
+ "epoch": 1.24,
605
+ "learning_rate": 1.464e-06,
606
+ "loss": 1.3057,
607
+ "step": 490
608
+ },
609
+ {
610
+ "epoch": 1.25,
611
+ "learning_rate": 1.479e-06,
612
+ "loss": 1.2998,
613
+ "step": 495
614
+ },
615
+ {
616
+ "epoch": 1.26,
617
+ "learning_rate": 1.494e-06,
618
+ "loss": 1.2899,
619
+ "step": 500
620
+ },
621
+ {
622
+ "epoch": 1.26,
623
+ "eval_cer": 0.2562710916751533,
624
+ "eval_loss": 1.147094488143921,
625
+ "eval_runtime": 60.746,
626
+ "eval_samples_per_second": 41.616,
627
+ "eval_steps_per_second": 1.169,
628
+ "eval_wer": 0.7029631516386483,
629
+ "step": 500
630
+ },
631
+ {
632
+ "epoch": 1.27,
633
+ "learning_rate": 1.5089999999999999e-06,
634
+ "loss": 1.2025,
635
+ "step": 505
636
+ },
637
+ {
638
+ "epoch": 1.29,
639
+ "learning_rate": 1.524e-06,
640
+ "loss": 1.1523,
641
+ "step": 510
642
+ },
643
+ {
644
+ "epoch": 1.3,
645
+ "learning_rate": 1.539e-06,
646
+ "loss": 1.1846,
647
+ "step": 515
648
+ },
649
+ {
650
+ "epoch": 1.31,
651
+ "learning_rate": 1.554e-06,
652
+ "loss": 1.0974,
653
+ "step": 520
654
+ },
655
+ {
656
+ "epoch": 1.32,
657
+ "learning_rate": 1.569e-06,
658
+ "loss": 1.0635,
659
+ "step": 525
660
+ },
661
+ {
662
+ "epoch": 1.34,
663
+ "learning_rate": 1.584e-06,
664
+ "loss": 1.0922,
665
+ "step": 530
666
+ },
667
+ {
668
+ "epoch": 1.35,
669
+ "learning_rate": 1.599e-06,
670
+ "loss": 1.0167,
671
+ "step": 535
672
+ },
673
+ {
674
+ "epoch": 1.36,
675
+ "learning_rate": 1.6140000000000001e-06,
676
+ "loss": 0.9946,
677
+ "step": 540
678
+ },
679
+ {
680
+ "epoch": 1.37,
681
+ "learning_rate": 1.629e-06,
682
+ "loss": 1.0021,
683
+ "step": 545
684
+ },
685
+ {
686
+ "epoch": 1.39,
687
+ "learning_rate": 1.644e-06,
688
+ "loss": 1.006,
689
+ "step": 550
690
+ },
691
+ {
692
+ "epoch": 1.4,
693
+ "learning_rate": 1.6590000000000001e-06,
694
+ "loss": 0.9312,
695
+ "step": 555
696
+ },
697
+ {
698
+ "epoch": 1.41,
699
+ "learning_rate": 1.6740000000000002e-06,
700
+ "loss": 0.9275,
701
+ "step": 560
702
+ },
703
+ {
704
+ "epoch": 1.42,
705
+ "learning_rate": 1.689e-06,
706
+ "loss": 0.9743,
707
+ "step": 565
708
+ },
709
+ {
710
+ "epoch": 1.44,
711
+ "learning_rate": 1.7040000000000001e-06,
712
+ "loss": 0.8707,
713
+ "step": 570
714
+ },
715
+ {
716
+ "epoch": 1.45,
717
+ "learning_rate": 1.719e-06,
718
+ "loss": 0.8765,
719
+ "step": 575
720
+ },
721
+ {
722
+ "epoch": 1.46,
723
+ "learning_rate": 1.734e-06,
724
+ "loss": 0.9403,
725
+ "step": 580
726
+ },
727
+ {
728
+ "epoch": 1.48,
729
+ "learning_rate": 1.749e-06,
730
+ "loss": 0.8242,
731
+ "step": 585
732
+ },
733
+ {
734
+ "epoch": 1.49,
735
+ "learning_rate": 1.764e-06,
736
+ "loss": 0.7783,
737
+ "step": 590
738
+ },
739
+ {
740
+ "epoch": 1.5,
741
+ "learning_rate": 1.779e-06,
742
+ "loss": 0.8126,
743
+ "step": 595
744
+ },
745
+ {
746
+ "epoch": 1.51,
747
+ "learning_rate": 1.794e-06,
748
+ "loss": 0.8544,
749
+ "step": 600
750
+ },
751
+ {
752
+ "epoch": 1.53,
753
+ "learning_rate": 1.809e-06,
754
+ "loss": 0.7637,
755
+ "step": 605
756
+ },
757
+ {
758
+ "epoch": 1.54,
759
+ "learning_rate": 1.824e-06,
760
+ "loss": 0.7481,
761
+ "step": 610
762
+ },
763
+ {
764
+ "epoch": 1.55,
765
+ "learning_rate": 1.839e-06,
766
+ "loss": 0.8198,
767
+ "step": 615
768
+ },
769
+ {
770
+ "epoch": 1.56,
771
+ "learning_rate": 1.8540000000000002e-06,
772
+ "loss": 0.7086,
773
+ "step": 620
774
+ },
775
+ {
776
+ "epoch": 1.58,
777
+ "learning_rate": 1.869e-06,
778
+ "loss": 0.7167,
779
+ "step": 625
780
+ },
781
+ {
782
+ "epoch": 1.59,
783
+ "learning_rate": 1.8810000000000003e-06,
784
+ "loss": 0.7675,
785
+ "step": 630
786
+ },
787
+ {
788
+ "epoch": 1.6,
789
+ "learning_rate": 1.8960000000000001e-06,
790
+ "loss": 0.6906,
791
+ "step": 635
792
+ },
793
+ {
794
+ "epoch": 1.61,
795
+ "learning_rate": 1.9110000000000004e-06,
796
+ "loss": 0.6739,
797
+ "step": 640
798
+ },
799
+ {
800
+ "epoch": 1.63,
801
+ "learning_rate": 1.926e-06,
802
+ "loss": 0.7041,
803
+ "step": 645
804
+ },
805
+ {
806
+ "epoch": 1.64,
807
+ "learning_rate": 1.9409999999999997e-06,
808
+ "loss": 0.6874,
809
+ "step": 650
810
+ },
811
+ {
812
+ "epoch": 1.65,
813
+ "learning_rate": 1.956e-06,
814
+ "loss": 0.6738,
815
+ "step": 655
816
+ },
817
+ {
818
+ "epoch": 1.66,
819
+ "learning_rate": 1.971e-06,
820
+ "loss": 0.6507,
821
+ "step": 660
822
+ },
823
+ {
824
+ "epoch": 1.68,
825
+ "learning_rate": 1.9859999999999997e-06,
826
+ "loss": 0.6857,
827
+ "step": 665
828
+ },
829
+ {
830
+ "epoch": 1.69,
831
+ "learning_rate": 2.001e-06,
832
+ "loss": 0.6291,
833
+ "step": 670
834
+ },
835
+ {
836
+ "epoch": 1.7,
837
+ "learning_rate": 2.016e-06,
838
+ "loss": 0.5821,
839
+ "step": 675
840
+ },
841
+ {
842
+ "epoch": 1.72,
843
+ "learning_rate": 2.031e-06,
844
+ "loss": 0.6688,
845
+ "step": 680
846
+ },
847
+ {
848
+ "epoch": 1.73,
849
+ "learning_rate": 2.046e-06,
850
+ "loss": 0.5958,
851
+ "step": 685
852
+ },
853
+ {
854
+ "epoch": 1.74,
855
+ "learning_rate": 2.061e-06,
856
+ "loss": 0.5807,
857
+ "step": 690
858
+ },
859
+ {
860
+ "epoch": 1.75,
861
+ "learning_rate": 2.076e-06,
862
+ "loss": 0.5991,
863
+ "step": 695
864
+ },
865
+ {
866
+ "epoch": 1.77,
867
+ "learning_rate": 2.091e-06,
868
+ "loss": 0.5904,
869
+ "step": 700
870
+ },
871
+ {
872
+ "epoch": 1.78,
873
+ "learning_rate": 2.106e-06,
874
+ "loss": 0.5715,
875
+ "step": 705
876
+ },
877
+ {
878
+ "epoch": 1.79,
879
+ "learning_rate": 2.121e-06,
880
+ "loss": 0.563,
881
+ "step": 710
882
+ },
883
+ {
884
+ "epoch": 1.8,
885
+ "learning_rate": 2.136e-06,
886
+ "loss": 0.6291,
887
+ "step": 715
888
+ },
889
+ {
890
+ "epoch": 1.82,
891
+ "learning_rate": 2.1510000000000002e-06,
892
+ "loss": 0.5513,
893
+ "step": 720
894
+ },
895
+ {
896
+ "epoch": 1.83,
897
+ "learning_rate": 2.166e-06,
898
+ "loss": 0.539,
899
+ "step": 725
900
+ },
901
+ {
902
+ "epoch": 1.84,
903
+ "learning_rate": 2.181e-06,
904
+ "loss": 0.6234,
905
+ "step": 730
906
+ },
907
+ {
908
+ "epoch": 1.85,
909
+ "learning_rate": 2.1960000000000002e-06,
910
+ "loss": 0.5196,
911
+ "step": 735
912
+ },
913
+ {
914
+ "epoch": 1.87,
915
+ "learning_rate": 2.211e-06,
916
+ "loss": 0.5122,
917
+ "step": 740
918
+ },
919
+ {
920
+ "epoch": 1.88,
921
+ "learning_rate": 2.226e-06,
922
+ "loss": 0.5331,
923
+ "step": 745
924
+ },
925
+ {
926
+ "epoch": 1.89,
927
+ "learning_rate": 2.2410000000000002e-06,
928
+ "loss": 0.5276,
929
+ "step": 750
930
+ },
931
+ {
932
+ "epoch": 1.89,
933
+ "eval_cer": 0.11271790570897981,
934
+ "eval_loss": 0.46866554021835327,
935
+ "eval_runtime": 59.8626,
936
+ "eval_samples_per_second": 42.23,
937
+ "eval_steps_per_second": 1.186,
938
+ "eval_wer": 0.41144506707420614,
939
+ "step": 750
940
+ },
941
+ {
942
+ "epoch": 1.9,
943
+ "learning_rate": 2.256e-06,
944
+ "loss": 0.49,
945
+ "step": 755
946
+ },
947
+ {
948
+ "epoch": 1.92,
949
+ "learning_rate": 2.2710000000000004e-06,
950
+ "loss": 0.4961,
951
+ "step": 760
952
+ },
953
+ {
954
+ "epoch": 1.93,
955
+ "learning_rate": 2.2860000000000002e-06,
956
+ "loss": 0.5207,
957
+ "step": 765
958
+ },
959
+ {
960
+ "epoch": 1.94,
961
+ "learning_rate": 2.301e-06,
962
+ "loss": 0.4767,
963
+ "step": 770
964
+ },
965
+ {
966
+ "epoch": 1.95,
967
+ "learning_rate": 2.3160000000000004e-06,
968
+ "loss": 0.4761,
969
+ "step": 775
970
+ },
971
+ {
972
+ "epoch": 1.97,
973
+ "learning_rate": 2.3310000000000002e-06,
974
+ "loss": 0.5454,
975
+ "step": 780
976
+ },
977
+ {
978
+ "epoch": 1.98,
979
+ "learning_rate": 2.346e-06,
980
+ "loss": 0.4688,
981
+ "step": 785
982
+ },
983
+ {
984
+ "epoch": 1.99,
985
+ "learning_rate": 2.3610000000000003e-06,
986
+ "loss": 0.4609,
987
+ "step": 790
988
+ },
989
+ {
990
+ "epoch": 2.01,
991
+ "learning_rate": 2.376e-06,
992
+ "loss": 0.4967,
993
+ "step": 795
994
+ },
995
+ {
996
+ "epoch": 2.02,
997
+ "learning_rate": 2.391e-06,
998
+ "loss": 0.4613,
999
+ "step": 800
1000
+ },
1001
+ {
1002
+ "epoch": 2.03,
1003
+ "learning_rate": 2.406e-06,
1004
+ "loss": 0.448,
1005
+ "step": 805
1006
+ },
1007
+ {
1008
+ "epoch": 2.04,
1009
+ "learning_rate": 2.4209999999999998e-06,
1010
+ "loss": 0.5151,
1011
+ "step": 810
1012
+ },
1013
+ {
1014
+ "epoch": 2.06,
1015
+ "learning_rate": 2.436e-06,
1016
+ "loss": 0.4411,
1017
+ "step": 815
1018
+ },
1019
+ {
1020
+ "epoch": 2.07,
1021
+ "learning_rate": 2.451e-06,
1022
+ "loss": 0.43,
1023
+ "step": 820
1024
+ },
1025
+ {
1026
+ "epoch": 2.08,
1027
+ "learning_rate": 2.4659999999999998e-06,
1028
+ "loss": 0.4318,
1029
+ "step": 825
1030
+ },
1031
+ {
1032
+ "epoch": 2.09,
1033
+ "learning_rate": 2.481e-06,
1034
+ "loss": 0.4442,
1035
+ "step": 830
1036
+ },
1037
+ {
1038
+ "epoch": 2.11,
1039
+ "learning_rate": 2.496e-06,
1040
+ "loss": 0.4014,
1041
+ "step": 835
1042
+ },
1043
+ {
1044
+ "epoch": 2.12,
1045
+ "learning_rate": 2.5109999999999998e-06,
1046
+ "loss": 0.4062,
1047
+ "step": 840
1048
+ },
1049
+ {
1050
+ "epoch": 2.13,
1051
+ "learning_rate": 2.526e-06,
1052
+ "loss": 0.4431,
1053
+ "step": 845
1054
+ },
1055
+ {
1056
+ "epoch": 2.14,
1057
+ "learning_rate": 2.541e-06,
1058
+ "loss": 0.4057,
1059
+ "step": 850
1060
+ },
1061
+ {
1062
+ "epoch": 2.16,
1063
+ "learning_rate": 2.556e-06,
1064
+ "loss": 0.3873,
1065
+ "step": 855
1066
+ },
1067
+ {
1068
+ "epoch": 2.17,
1069
+ "learning_rate": 2.571e-06,
1070
+ "loss": 0.4497,
1071
+ "step": 860
1072
+ },
1073
+ {
1074
+ "epoch": 2.18,
1075
+ "learning_rate": 2.586e-06,
1076
+ "loss": 0.3917,
1077
+ "step": 865
1078
+ },
1079
+ {
1080
+ "epoch": 2.19,
1081
+ "learning_rate": 2.601e-06,
1082
+ "loss": 0.363,
1083
+ "step": 870
1084
+ },
1085
+ {
1086
+ "epoch": 2.21,
1087
+ "learning_rate": 2.616e-06,
1088
+ "loss": 0.4173,
1089
+ "step": 875
1090
+ },
1091
+ {
1092
+ "epoch": 2.22,
1093
+ "learning_rate": 2.631e-06,
1094
+ "loss": 0.4128,
1095
+ "step": 880
1096
+ },
1097
+ {
1098
+ "epoch": 2.23,
1099
+ "learning_rate": 2.646e-06,
1100
+ "loss": 0.3761,
1101
+ "step": 885
1102
+ },
1103
+ {
1104
+ "epoch": 2.24,
1105
+ "learning_rate": 2.661e-06,
1106
+ "loss": 0.3817,
1107
+ "step": 890
1108
+ },
1109
+ {
1110
+ "epoch": 2.26,
1111
+ "learning_rate": 2.6760000000000003e-06,
1112
+ "loss": 0.4256,
1113
+ "step": 895
1114
+ },
1115
+ {
1116
+ "epoch": 2.27,
1117
+ "learning_rate": 2.691e-06,
1118
+ "loss": 0.3778,
1119
+ "step": 900
1120
+ },
1121
+ {
1122
+ "epoch": 2.28,
1123
+ "learning_rate": 2.706e-06,
1124
+ "loss": 0.3571,
1125
+ "step": 905
1126
+ },
1127
+ {
1128
+ "epoch": 2.3,
1129
+ "learning_rate": 2.7210000000000003e-06,
1130
+ "loss": 0.4345,
1131
+ "step": 910
1132
+ },
1133
+ {
1134
+ "epoch": 2.31,
1135
+ "learning_rate": 2.736e-06,
1136
+ "loss": 0.3557,
1137
+ "step": 915
1138
+ },
1139
+ {
1140
+ "epoch": 2.32,
1141
+ "learning_rate": 2.751e-06,
1142
+ "loss": 0.3616,
1143
+ "step": 920
1144
+ },
1145
+ {
1146
+ "epoch": 2.33,
1147
+ "learning_rate": 2.7660000000000003e-06,
1148
+ "loss": 0.3813,
1149
+ "step": 925
1150
+ },
1151
+ {
1152
+ "epoch": 2.35,
1153
+ "learning_rate": 2.781e-06,
1154
+ "loss": 0.3828,
1155
+ "step": 930
1156
+ },
1157
+ {
1158
+ "epoch": 2.36,
1159
+ "learning_rate": 2.7960000000000004e-06,
1160
+ "loss": 0.3234,
1161
+ "step": 935
1162
+ },
1163
+ {
1164
+ "epoch": 2.37,
1165
+ "learning_rate": 2.8110000000000003e-06,
1166
+ "loss": 0.3353,
1167
+ "step": 940
1168
+ },
1169
+ {
1170
+ "epoch": 2.38,
1171
+ "learning_rate": 2.826e-06,
1172
+ "loss": 0.3856,
1173
+ "step": 945
1174
+ },
1175
+ {
1176
+ "epoch": 2.4,
1177
+ "learning_rate": 2.8410000000000004e-06,
1178
+ "loss": 0.3371,
1179
+ "step": 950
1180
+ },
1181
+ {
1182
+ "epoch": 2.41,
1183
+ "learning_rate": 2.8560000000000003e-06,
1184
+ "loss": 0.316,
1185
+ "step": 955
1186
+ },
1187
+ {
1188
+ "epoch": 2.42,
1189
+ "learning_rate": 2.8709999999999997e-06,
1190
+ "loss": 0.3904,
1191
+ "step": 960
1192
+ },
1193
+ {
1194
+ "epoch": 2.43,
1195
+ "learning_rate": 2.886e-06,
1196
+ "loss": 0.3297,
1197
+ "step": 965
1198
+ },
1199
+ {
1200
+ "epoch": 2.45,
1201
+ "learning_rate": 2.901e-06,
1202
+ "loss": 0.3163,
1203
+ "step": 970
1204
+ },
1205
+ {
1206
+ "epoch": 2.46,
1207
+ "learning_rate": 2.916e-06,
1208
+ "loss": 0.3396,
1209
+ "step": 975
1210
+ },
1211
+ {
1212
+ "epoch": 2.47,
1213
+ "learning_rate": 2.931e-06,
1214
+ "loss": 0.3422,
1215
+ "step": 980
1216
+ },
1217
+ {
1218
+ "epoch": 2.48,
1219
+ "learning_rate": 2.946e-06,
1220
+ "loss": 0.3075,
1221
+ "step": 985
1222
+ },
1223
+ {
1224
+ "epoch": 2.5,
1225
+ "learning_rate": 2.961e-06,
1226
+ "loss": 0.3132,
1227
+ "step": 990
1228
+ },
1229
+ {
1230
+ "epoch": 2.51,
1231
+ "learning_rate": 2.976e-06,
1232
+ "loss": 0.3504,
1233
+ "step": 995
1234
+ },
1235
+ {
1236
+ "epoch": 2.52,
1237
+ "learning_rate": 2.991e-06,
1238
+ "loss": 0.3313,
1239
+ "step": 1000
1240
+ },
1241
+ {
1242
+ "epoch": 2.52,
1243
+ "eval_cer": 0.065871922362667,
1244
+ "eval_loss": 0.287024587392807,
1245
+ "eval_runtime": 60.4937,
1246
+ "eval_samples_per_second": 41.789,
1247
+ "eval_steps_per_second": 1.174,
1248
+ "eval_wer": 0.2576838172864663,
1249
+ "step": 1000
1250
+ },
1251
+ {
1252
+ "epoch": 2.53,
1253
+ "learning_rate": 3.006e-06,
1254
+ "loss": 0.306,
1255
+ "step": 1005
1256
+ },
1257
+ {
1258
+ "epoch": 2.55,
1259
+ "learning_rate": 3.021e-06,
1260
+ "loss": 0.3832,
1261
+ "step": 1010
1262
+ },
1263
+ {
1264
+ "epoch": 2.56,
1265
+ "learning_rate": 3.036e-06,
1266
+ "loss": 0.2945,
1267
+ "step": 1015
1268
+ },
1269
+ {
1270
+ "epoch": 2.57,
1271
+ "learning_rate": 3.051e-06,
1272
+ "loss": 0.2986,
1273
+ "step": 1020
1274
+ },
1275
+ {
1276
+ "epoch": 2.59,
1277
+ "learning_rate": 3.066e-06,
1278
+ "loss": 0.328,
1279
+ "step": 1025
1280
+ },
1281
+ {
1282
+ "epoch": 2.6,
1283
+ "learning_rate": 3.0810000000000002e-06,
1284
+ "loss": 0.341,
1285
+ "step": 1030
1286
+ },
1287
+ {
1288
+ "epoch": 2.61,
1289
+ "learning_rate": 3.096e-06,
1290
+ "loss": 0.2928,
1291
+ "step": 1035
1292
+ },
1293
+ {
1294
+ "epoch": 2.62,
1295
+ "learning_rate": 3.111e-06,
1296
+ "loss": 0.3032,
1297
+ "step": 1040
1298
+ },
1299
+ {
1300
+ "epoch": 2.64,
1301
+ "learning_rate": 3.1260000000000002e-06,
1302
+ "loss": 0.3132,
1303
+ "step": 1045
1304
+ },
1305
+ {
1306
+ "epoch": 2.65,
1307
+ "learning_rate": 3.141e-06,
1308
+ "loss": 0.2795,
1309
+ "step": 1050
1310
+ },
1311
+ {
1312
+ "epoch": 2.66,
1313
+ "learning_rate": 3.156e-06,
1314
+ "loss": 0.3074,
1315
+ "step": 1055
1316
+ },
1317
+ {
1318
+ "epoch": 2.67,
1319
+ "learning_rate": 3.1710000000000002e-06,
1320
+ "loss": 0.3546,
1321
+ "step": 1060
1322
+ },
1323
+ {
1324
+ "epoch": 2.69,
1325
+ "learning_rate": 3.186e-06,
1326
+ "loss": 0.2661,
1327
+ "step": 1065
1328
+ },
1329
+ {
1330
+ "epoch": 2.7,
1331
+ "learning_rate": 3.2010000000000004e-06,
1332
+ "loss": 0.2756,
1333
+ "step": 1070
1334
+ },
1335
+ {
1336
+ "epoch": 2.71,
1337
+ "learning_rate": 3.216e-06,
1338
+ "loss": 0.3041,
1339
+ "step": 1075
1340
+ },
1341
+ {
1342
+ "epoch": 2.72,
1343
+ "learning_rate": 3.231e-06,
1344
+ "loss": 0.3163,
1345
+ "step": 1080
1346
+ },
1347
+ {
1348
+ "epoch": 2.74,
1349
+ "learning_rate": 3.2460000000000003e-06,
1350
+ "loss": 0.2646,
1351
+ "step": 1085
1352
+ },
1353
+ {
1354
+ "epoch": 2.75,
1355
+ "learning_rate": 3.261e-06,
1356
+ "loss": 0.2772,
1357
+ "step": 1090
1358
+ },
1359
+ {
1360
+ "epoch": 2.76,
1361
+ "learning_rate": 3.276e-06,
1362
+ "loss": 0.3198,
1363
+ "step": 1095
1364
+ },
1365
+ {
1366
+ "epoch": 2.77,
1367
+ "learning_rate": 3.2910000000000003e-06,
1368
+ "loss": 0.2586,
1369
+ "step": 1100
1370
+ },
1371
+ {
1372
+ "epoch": 2.79,
1373
+ "learning_rate": 3.306e-06,
1374
+ "loss": 0.2671,
1375
+ "step": 1105
1376
+ },
1377
+ {
1378
+ "epoch": 2.8,
1379
+ "learning_rate": 3.3210000000000005e-06,
1380
+ "loss": 0.3135,
1381
+ "step": 1110
1382
+ },
1383
+ {
1384
+ "epoch": 2.81,
1385
+ "learning_rate": 3.336e-06,
1386
+ "loss": 0.2482,
1387
+ "step": 1115
1388
+ },
1389
+ {
1390
+ "epoch": 2.82,
1391
+ "learning_rate": 3.3509999999999998e-06,
1392
+ "loss": 0.2427,
1393
+ "step": 1120
1394
+ },
1395
+ {
1396
+ "epoch": 2.84,
1397
+ "learning_rate": 3.366e-06,
1398
+ "loss": 0.2821,
1399
+ "step": 1125
1400
+ },
1401
+ {
1402
+ "epoch": 2.85,
1403
+ "learning_rate": 3.381e-06,
1404
+ "loss": 0.2651,
1405
+ "step": 1130
1406
+ },
1407
+ {
1408
+ "epoch": 2.86,
1409
+ "learning_rate": 3.3959999999999998e-06,
1410
+ "loss": 0.2517,
1411
+ "step": 1135
1412
+ },
1413
+ {
1414
+ "epoch": 2.88,
1415
+ "learning_rate": 3.411e-06,
1416
+ "loss": 0.2528,
1417
+ "step": 1140
1418
+ },
1419
+ {
1420
+ "epoch": 2.89,
1421
+ "learning_rate": 3.426e-06,
1422
+ "loss": 0.3223,
1423
+ "step": 1145
1424
+ },
1425
+ {
1426
+ "epoch": 2.9,
1427
+ "learning_rate": 3.441e-06,
1428
+ "loss": 0.2383,
1429
+ "step": 1150
1430
+ },
1431
+ {
1432
+ "epoch": 2.91,
1433
+ "learning_rate": 3.456e-06,
1434
+ "loss": 0.2402,
1435
+ "step": 1155
1436
+ },
1437
+ {
1438
+ "epoch": 2.93,
1439
+ "learning_rate": 3.471e-06,
1440
+ "loss": 0.2866,
1441
+ "step": 1160
1442
+ },
1443
+ {
1444
+ "epoch": 2.94,
1445
+ "learning_rate": 3.486e-06,
1446
+ "loss": 0.2316,
1447
+ "step": 1165
1448
+ },
1449
+ {
1450
+ "epoch": 2.95,
1451
+ "learning_rate": 3.501e-06,
1452
+ "loss": 0.2293,
1453
+ "step": 1170
1454
+ },
1455
+ {
1456
+ "epoch": 2.96,
1457
+ "learning_rate": 3.516e-06,
1458
+ "loss": 0.2607,
1459
+ "step": 1175
1460
+ },
1461
+ {
1462
+ "epoch": 2.98,
1463
+ "learning_rate": 3.531e-06,
1464
+ "loss": 0.2492,
1465
+ "step": 1180
1466
+ },
1467
+ {
1468
+ "epoch": 2.99,
1469
+ "learning_rate": 3.546e-06,
1470
+ "loss": 0.2366,
1471
+ "step": 1185
1472
+ },
1473
+ {
1474
+ "epoch": 3.0,
1475
+ "step": 1188,
1476
+ "total_flos": 3.172956745754896e+19,
1477
+ "train_loss": 1.5876106701113961,
1478
+ "train_runtime": 5725.9395,
1479
+ "train_samples_per_second": 14.952,
1480
+ "train_steps_per_second": 0.207
1481
+ }
1482
+ ],
1483
+ "logging_steps": 5,
1484
+ "max_steps": 1188,
1485
+ "num_input_tokens_seen": 0,
1486
+ "num_train_epochs": 3,
1487
+ "save_steps": 500,
1488
+ "total_flos": 3.172956745754896e+19,
1489
+ "train_batch_size": 12,
1490
+ "trial_name": null,
1491
+ "trial_params": null
1492
+ }