subatomicseer commited on
Commit
3554ec3
1 Parent(s): 5c8ca39

End of training

Browse files
Files changed (5) hide show
  1. README.md +6 -3
  2. all_results.json +14 -0
  3. eval_results.json +9 -0
  4. train_results.json +8 -0
  5. trainer_state.json +1788 -0
README.md CHANGED
@@ -1,5 +1,8 @@
1
  ---
 
2
  tags:
 
 
3
  - generated_from_trainer
4
  datasets:
5
  - timit_asr
@@ -12,11 +15,11 @@ model-index:
12
  name: Automatic Speech Recognition
13
  type: automatic-speech-recognition
14
  dataset:
15
- name: timit_asr
16
  type: timit_asr
17
  config: clean
18
  split: test
19
- args: clean
20
  metrics:
21
  - name: Wer
22
  type: wer
@@ -28,7 +31,7 @@ should probably proofread and complete it, then remove this comment. -->
28
 
29
  # wav2vec2-base-gumbelVQ-timit-fine-tuned
30
 
31
- This model was trained from scratch on the timit_asr dataset.
32
  It achieves the following results on the evaluation set:
33
  - Loss: 0.7549
34
  - Wer: 0.4902
 
1
  ---
2
+ base_model: wav2vec2-pretrained-base-gumbelVQ
3
  tags:
4
+ - automatic-speech-recognition
5
+ - timit_asr
6
  - generated_from_trainer
7
  datasets:
8
  - timit_asr
 
15
  name: Automatic Speech Recognition
16
  type: automatic-speech-recognition
17
  dataset:
18
+ name: TIMIT_ASR - NA
19
  type: timit_asr
20
  config: clean
21
  split: test
22
+ args: 'Config: na, Training split: train, Eval split: test'
23
  metrics:
24
  - name: Wer
25
  type: wer
 
31
 
32
  # wav2vec2-base-gumbelVQ-timit-fine-tuned
33
 
34
+ This model is a fine-tuned version of [wav2vec2-pretrained-base-gumbelVQ](https://huggingface.co/wav2vec2-pretrained-base-gumbelVQ) on the TIMIT_ASR - NA dataset.
35
  It achieves the following results on the evaluation set:
36
  - Loss: 0.7549
37
  - Wer: 0.4902
all_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "eval_loss": 0.7549105882644653,
4
+ "eval_runtime": 28.9938,
5
+ "eval_samples": 1680,
6
+ "eval_samples_per_second": 57.943,
7
+ "eval_steps_per_second": 57.943,
8
+ "eval_wer": 0.4901798635517883,
9
+ "train_loss": 0.9176692845903593,
10
+ "train_runtime": 459.1587,
11
+ "train_samples": 4620,
12
+ "train_samples_per_second": 201.238,
13
+ "train_steps_per_second": 6.316
14
+ }
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "eval_loss": 0.7549105882644653,
4
+ "eval_runtime": 28.9938,
5
+ "eval_samples": 1680,
6
+ "eval_samples_per_second": 57.943,
7
+ "eval_steps_per_second": 57.943,
8
+ "eval_wer": 0.4901798635517883
9
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "train_loss": 0.9176692845903593,
4
+ "train_runtime": 459.1587,
5
+ "train_samples": 4620,
6
+ "train_samples_per_second": 201.238,
7
+ "train_steps_per_second": 6.316
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,1788 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 20.0,
5
+ "eval_steps": 1450,
6
+ "global_step": 2900,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.07,
13
+ "learning_rate": 1.0000000000000002e-06,
14
+ "loss": 8.7405,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 0.14,
19
+ "learning_rate": 2.0000000000000003e-06,
20
+ "loss": 8.3725,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 0.21,
25
+ "learning_rate": 3e-06,
26
+ "loss": 7.7607,
27
+ "step": 30
28
+ },
29
+ {
30
+ "epoch": 0.28,
31
+ "learning_rate": 4.000000000000001e-06,
32
+ "loss": 8.0251,
33
+ "step": 40
34
+ },
35
+ {
36
+ "epoch": 0.34,
37
+ "learning_rate": 5e-06,
38
+ "loss": 8.0286,
39
+ "step": 50
40
+ },
41
+ {
42
+ "epoch": 0.41,
43
+ "learning_rate": 6e-06,
44
+ "loss": 7.4312,
45
+ "step": 60
46
+ },
47
+ {
48
+ "epoch": 0.48,
49
+ "learning_rate": 7.000000000000001e-06,
50
+ "loss": 6.7337,
51
+ "step": 70
52
+ },
53
+ {
54
+ "epoch": 0.55,
55
+ "learning_rate": 8.000000000000001e-06,
56
+ "loss": 6.8916,
57
+ "step": 80
58
+ },
59
+ {
60
+ "epoch": 0.62,
61
+ "learning_rate": 9e-06,
62
+ "loss": 5.9048,
63
+ "step": 90
64
+ },
65
+ {
66
+ "epoch": 0.69,
67
+ "learning_rate": 1e-05,
68
+ "loss": 4.789,
69
+ "step": 100
70
+ },
71
+ {
72
+ "epoch": 0.76,
73
+ "learning_rate": 1.1000000000000001e-05,
74
+ "loss": 3.7895,
75
+ "step": 110
76
+ },
77
+ {
78
+ "epoch": 0.83,
79
+ "learning_rate": 1.2e-05,
80
+ "loss": 3.3101,
81
+ "step": 120
82
+ },
83
+ {
84
+ "epoch": 0.9,
85
+ "learning_rate": 1.3000000000000001e-05,
86
+ "loss": 3.1335,
87
+ "step": 130
88
+ },
89
+ {
90
+ "epoch": 0.97,
91
+ "learning_rate": 1.4000000000000001e-05,
92
+ "loss": 3.0395,
93
+ "step": 140
94
+ },
95
+ {
96
+ "epoch": 1.03,
97
+ "learning_rate": 1.5e-05,
98
+ "loss": 3.0154,
99
+ "step": 150
100
+ },
101
+ {
102
+ "epoch": 1.1,
103
+ "learning_rate": 1.6000000000000003e-05,
104
+ "loss": 2.9716,
105
+ "step": 160
106
+ },
107
+ {
108
+ "epoch": 1.17,
109
+ "learning_rate": 1.7000000000000003e-05,
110
+ "loss": 2.9457,
111
+ "step": 170
112
+ },
113
+ {
114
+ "epoch": 1.24,
115
+ "learning_rate": 1.8e-05,
116
+ "loss": 2.95,
117
+ "step": 180
118
+ },
119
+ {
120
+ "epoch": 1.31,
121
+ "learning_rate": 1.9e-05,
122
+ "loss": 2.9412,
123
+ "step": 190
124
+ },
125
+ {
126
+ "epoch": 1.38,
127
+ "learning_rate": 2e-05,
128
+ "loss": 2.9126,
129
+ "step": 200
130
+ },
131
+ {
132
+ "epoch": 1.45,
133
+ "learning_rate": 2.1e-05,
134
+ "loss": 2.9103,
135
+ "step": 210
136
+ },
137
+ {
138
+ "epoch": 1.52,
139
+ "learning_rate": 2.2000000000000003e-05,
140
+ "loss": 2.931,
141
+ "step": 220
142
+ },
143
+ {
144
+ "epoch": 1.59,
145
+ "learning_rate": 2.3000000000000003e-05,
146
+ "loss": 2.9066,
147
+ "step": 230
148
+ },
149
+ {
150
+ "epoch": 1.66,
151
+ "learning_rate": 2.4e-05,
152
+ "loss": 2.8818,
153
+ "step": 240
154
+ },
155
+ {
156
+ "epoch": 1.72,
157
+ "learning_rate": 2.5e-05,
158
+ "loss": 2.8773,
159
+ "step": 250
160
+ },
161
+ {
162
+ "epoch": 1.79,
163
+ "learning_rate": 2.6000000000000002e-05,
164
+ "loss": 2.8816,
165
+ "step": 260
166
+ },
167
+ {
168
+ "epoch": 1.86,
169
+ "learning_rate": 2.7000000000000002e-05,
170
+ "loss": 2.8123,
171
+ "step": 270
172
+ },
173
+ {
174
+ "epoch": 1.93,
175
+ "learning_rate": 2.8000000000000003e-05,
176
+ "loss": 2.7808,
177
+ "step": 280
178
+ },
179
+ {
180
+ "epoch": 2.0,
181
+ "learning_rate": 2.9e-05,
182
+ "loss": 2.7578,
183
+ "step": 290
184
+ },
185
+ {
186
+ "epoch": 2.07,
187
+ "learning_rate": 3e-05,
188
+ "loss": 2.6916,
189
+ "step": 300
190
+ },
191
+ {
192
+ "epoch": 2.14,
193
+ "learning_rate": 3.1e-05,
194
+ "loss": 2.5814,
195
+ "step": 310
196
+ },
197
+ {
198
+ "epoch": 2.21,
199
+ "learning_rate": 3.2000000000000005e-05,
200
+ "loss": 2.518,
201
+ "step": 320
202
+ },
203
+ {
204
+ "epoch": 2.28,
205
+ "learning_rate": 3.3e-05,
206
+ "loss": 2.5069,
207
+ "step": 330
208
+ },
209
+ {
210
+ "epoch": 2.34,
211
+ "learning_rate": 3.4000000000000007e-05,
212
+ "loss": 2.3335,
213
+ "step": 340
214
+ },
215
+ {
216
+ "epoch": 2.41,
217
+ "learning_rate": 3.5e-05,
218
+ "loss": 2.211,
219
+ "step": 350
220
+ },
221
+ {
222
+ "epoch": 2.48,
223
+ "learning_rate": 3.6e-05,
224
+ "loss": 2.1754,
225
+ "step": 360
226
+ },
227
+ {
228
+ "epoch": 2.55,
229
+ "learning_rate": 3.7e-05,
230
+ "loss": 2.081,
231
+ "step": 370
232
+ },
233
+ {
234
+ "epoch": 2.62,
235
+ "learning_rate": 3.8e-05,
236
+ "loss": 1.8885,
237
+ "step": 380
238
+ },
239
+ {
240
+ "epoch": 2.69,
241
+ "learning_rate": 3.9000000000000006e-05,
242
+ "loss": 1.812,
243
+ "step": 390
244
+ },
245
+ {
246
+ "epoch": 2.76,
247
+ "learning_rate": 4e-05,
248
+ "loss": 1.8453,
249
+ "step": 400
250
+ },
251
+ {
252
+ "epoch": 2.83,
253
+ "learning_rate": 4.1e-05,
254
+ "loss": 1.6226,
255
+ "step": 410
256
+ },
257
+ {
258
+ "epoch": 2.9,
259
+ "learning_rate": 4.2e-05,
260
+ "loss": 1.5139,
261
+ "step": 420
262
+ },
263
+ {
264
+ "epoch": 2.97,
265
+ "learning_rate": 4.3e-05,
266
+ "loss": 1.5378,
267
+ "step": 430
268
+ },
269
+ {
270
+ "epoch": 3.03,
271
+ "learning_rate": 4.4000000000000006e-05,
272
+ "loss": 1.5982,
273
+ "step": 440
274
+ },
275
+ {
276
+ "epoch": 3.1,
277
+ "learning_rate": 4.5e-05,
278
+ "loss": 1.3221,
279
+ "step": 450
280
+ },
281
+ {
282
+ "epoch": 3.17,
283
+ "learning_rate": 4.600000000000001e-05,
284
+ "loss": 1.2879,
285
+ "step": 460
286
+ },
287
+ {
288
+ "epoch": 3.24,
289
+ "learning_rate": 4.7e-05,
290
+ "loss": 1.4471,
291
+ "step": 470
292
+ },
293
+ {
294
+ "epoch": 3.31,
295
+ "learning_rate": 4.8e-05,
296
+ "loss": 1.3435,
297
+ "step": 480
298
+ },
299
+ {
300
+ "epoch": 3.38,
301
+ "learning_rate": 4.9e-05,
302
+ "loss": 1.1629,
303
+ "step": 490
304
+ },
305
+ {
306
+ "epoch": 3.45,
307
+ "learning_rate": 5e-05,
308
+ "loss": 1.1958,
309
+ "step": 500
310
+ },
311
+ {
312
+ "epoch": 3.52,
313
+ "learning_rate": 5.1000000000000006e-05,
314
+ "loss": 1.3826,
315
+ "step": 510
316
+ },
317
+ {
318
+ "epoch": 3.59,
319
+ "learning_rate": 5.2000000000000004e-05,
320
+ "loss": 1.1417,
321
+ "step": 520
322
+ },
323
+ {
324
+ "epoch": 3.66,
325
+ "learning_rate": 5.300000000000001e-05,
326
+ "loss": 1.0833,
327
+ "step": 530
328
+ },
329
+ {
330
+ "epoch": 3.72,
331
+ "learning_rate": 5.4000000000000005e-05,
332
+ "loss": 1.1789,
333
+ "step": 540
334
+ },
335
+ {
336
+ "epoch": 3.79,
337
+ "learning_rate": 5.500000000000001e-05,
338
+ "loss": 1.2242,
339
+ "step": 550
340
+ },
341
+ {
342
+ "epoch": 3.86,
343
+ "learning_rate": 5.6000000000000006e-05,
344
+ "loss": 0.9675,
345
+ "step": 560
346
+ },
347
+ {
348
+ "epoch": 3.93,
349
+ "learning_rate": 5.6999999999999996e-05,
350
+ "loss": 1.0413,
351
+ "step": 570
352
+ },
353
+ {
354
+ "epoch": 4.0,
355
+ "learning_rate": 5.8e-05,
356
+ "loss": 1.1943,
357
+ "step": 580
358
+ },
359
+ {
360
+ "epoch": 4.07,
361
+ "learning_rate": 5.9e-05,
362
+ "loss": 1.0426,
363
+ "step": 590
364
+ },
365
+ {
366
+ "epoch": 4.14,
367
+ "learning_rate": 6e-05,
368
+ "loss": 0.8603,
369
+ "step": 600
370
+ },
371
+ {
372
+ "epoch": 4.21,
373
+ "learning_rate": 6.1e-05,
374
+ "loss": 0.9454,
375
+ "step": 610
376
+ },
377
+ {
378
+ "epoch": 4.28,
379
+ "learning_rate": 6.2e-05,
380
+ "loss": 1.1162,
381
+ "step": 620
382
+ },
383
+ {
384
+ "epoch": 4.34,
385
+ "learning_rate": 6.3e-05,
386
+ "loss": 0.8964,
387
+ "step": 630
388
+ },
389
+ {
390
+ "epoch": 4.41,
391
+ "learning_rate": 6.400000000000001e-05,
392
+ "loss": 0.903,
393
+ "step": 640
394
+ },
395
+ {
396
+ "epoch": 4.48,
397
+ "learning_rate": 6.500000000000001e-05,
398
+ "loss": 0.9923,
399
+ "step": 650
400
+ },
401
+ {
402
+ "epoch": 4.55,
403
+ "learning_rate": 6.6e-05,
404
+ "loss": 0.99,
405
+ "step": 660
406
+ },
407
+ {
408
+ "epoch": 4.62,
409
+ "learning_rate": 6.7e-05,
410
+ "loss": 0.7718,
411
+ "step": 670
412
+ },
413
+ {
414
+ "epoch": 4.69,
415
+ "learning_rate": 6.800000000000001e-05,
416
+ "loss": 0.8345,
417
+ "step": 680
418
+ },
419
+ {
420
+ "epoch": 4.76,
421
+ "learning_rate": 6.9e-05,
422
+ "loss": 1.0266,
423
+ "step": 690
424
+ },
425
+ {
426
+ "epoch": 4.83,
427
+ "learning_rate": 7e-05,
428
+ "loss": 0.8174,
429
+ "step": 700
430
+ },
431
+ {
432
+ "epoch": 4.9,
433
+ "learning_rate": 7.1e-05,
434
+ "loss": 0.756,
435
+ "step": 710
436
+ },
437
+ {
438
+ "epoch": 4.97,
439
+ "learning_rate": 7.2e-05,
440
+ "loss": 0.8567,
441
+ "step": 720
442
+ },
443
+ {
444
+ "epoch": 5.03,
445
+ "learning_rate": 7.3e-05,
446
+ "loss": 1.0015,
447
+ "step": 730
448
+ },
449
+ {
450
+ "epoch": 5.1,
451
+ "learning_rate": 7.4e-05,
452
+ "loss": 0.7094,
453
+ "step": 740
454
+ },
455
+ {
456
+ "epoch": 5.17,
457
+ "learning_rate": 7.500000000000001e-05,
458
+ "loss": 0.745,
459
+ "step": 750
460
+ },
461
+ {
462
+ "epoch": 5.24,
463
+ "learning_rate": 7.6e-05,
464
+ "loss": 0.8566,
465
+ "step": 760
466
+ },
467
+ {
468
+ "epoch": 5.31,
469
+ "learning_rate": 7.7e-05,
470
+ "loss": 0.8234,
471
+ "step": 770
472
+ },
473
+ {
474
+ "epoch": 5.38,
475
+ "learning_rate": 7.800000000000001e-05,
476
+ "loss": 0.6645,
477
+ "step": 780
478
+ },
479
+ {
480
+ "epoch": 5.45,
481
+ "learning_rate": 7.900000000000001e-05,
482
+ "loss": 0.7258,
483
+ "step": 790
484
+ },
485
+ {
486
+ "epoch": 5.52,
487
+ "learning_rate": 8e-05,
488
+ "loss": 0.8984,
489
+ "step": 800
490
+ },
491
+ {
492
+ "epoch": 5.59,
493
+ "learning_rate": 8.1e-05,
494
+ "loss": 0.7077,
495
+ "step": 810
496
+ },
497
+ {
498
+ "epoch": 5.66,
499
+ "learning_rate": 8.2e-05,
500
+ "loss": 0.6287,
501
+ "step": 820
502
+ },
503
+ {
504
+ "epoch": 5.72,
505
+ "learning_rate": 8.3e-05,
506
+ "loss": 0.789,
507
+ "step": 830
508
+ },
509
+ {
510
+ "epoch": 5.79,
511
+ "learning_rate": 8.4e-05,
512
+ "loss": 0.8406,
513
+ "step": 840
514
+ },
515
+ {
516
+ "epoch": 5.86,
517
+ "learning_rate": 8.5e-05,
518
+ "loss": 0.5996,
519
+ "step": 850
520
+ },
521
+ {
522
+ "epoch": 5.93,
523
+ "learning_rate": 8.6e-05,
524
+ "loss": 0.6525,
525
+ "step": 860
526
+ },
527
+ {
528
+ "epoch": 6.0,
529
+ "learning_rate": 8.7e-05,
530
+ "loss": 0.825,
531
+ "step": 870
532
+ },
533
+ {
534
+ "epoch": 6.07,
535
+ "learning_rate": 8.800000000000001e-05,
536
+ "loss": 0.6722,
537
+ "step": 880
538
+ },
539
+ {
540
+ "epoch": 6.14,
541
+ "learning_rate": 8.900000000000001e-05,
542
+ "loss": 0.5402,
543
+ "step": 890
544
+ },
545
+ {
546
+ "epoch": 6.21,
547
+ "learning_rate": 9e-05,
548
+ "loss": 0.6394,
549
+ "step": 900
550
+ },
551
+ {
552
+ "epoch": 6.28,
553
+ "learning_rate": 9.1e-05,
554
+ "loss": 0.7814,
555
+ "step": 910
556
+ },
557
+ {
558
+ "epoch": 6.34,
559
+ "learning_rate": 9.200000000000001e-05,
560
+ "loss": 0.5593,
561
+ "step": 920
562
+ },
563
+ {
564
+ "epoch": 6.41,
565
+ "learning_rate": 9.300000000000001e-05,
566
+ "loss": 0.5488,
567
+ "step": 930
568
+ },
569
+ {
570
+ "epoch": 6.48,
571
+ "learning_rate": 9.4e-05,
572
+ "loss": 0.6778,
573
+ "step": 940
574
+ },
575
+ {
576
+ "epoch": 6.55,
577
+ "learning_rate": 9.5e-05,
578
+ "loss": 0.7197,
579
+ "step": 950
580
+ },
581
+ {
582
+ "epoch": 6.62,
583
+ "learning_rate": 9.6e-05,
584
+ "loss": 0.5515,
585
+ "step": 960
586
+ },
587
+ {
588
+ "epoch": 6.69,
589
+ "learning_rate": 9.7e-05,
590
+ "loss": 0.547,
591
+ "step": 970
592
+ },
593
+ {
594
+ "epoch": 6.76,
595
+ "learning_rate": 9.8e-05,
596
+ "loss": 0.7743,
597
+ "step": 980
598
+ },
599
+ {
600
+ "epoch": 6.83,
601
+ "learning_rate": 9.900000000000001e-05,
602
+ "loss": 0.5979,
603
+ "step": 990
604
+ },
605
+ {
606
+ "epoch": 6.9,
607
+ "learning_rate": 0.0001,
608
+ "loss": 0.5156,
609
+ "step": 1000
610
+ },
611
+ {
612
+ "epoch": 6.97,
613
+ "learning_rate": 9.947368421052632e-05,
614
+ "loss": 0.5823,
615
+ "step": 1010
616
+ },
617
+ {
618
+ "epoch": 7.03,
619
+ "learning_rate": 9.894736842105263e-05,
620
+ "loss": 0.687,
621
+ "step": 1020
622
+ },
623
+ {
624
+ "epoch": 7.1,
625
+ "learning_rate": 9.842105263157894e-05,
626
+ "loss": 0.4806,
627
+ "step": 1030
628
+ },
629
+ {
630
+ "epoch": 7.17,
631
+ "learning_rate": 9.789473684210527e-05,
632
+ "loss": 0.4601,
633
+ "step": 1040
634
+ },
635
+ {
636
+ "epoch": 7.24,
637
+ "learning_rate": 9.736842105263158e-05,
638
+ "loss": 0.6117,
639
+ "step": 1050
640
+ },
641
+ {
642
+ "epoch": 7.31,
643
+ "learning_rate": 9.68421052631579e-05,
644
+ "loss": 0.6,
645
+ "step": 1060
646
+ },
647
+ {
648
+ "epoch": 7.38,
649
+ "learning_rate": 9.631578947368421e-05,
650
+ "loss": 0.4322,
651
+ "step": 1070
652
+ },
653
+ {
654
+ "epoch": 7.45,
655
+ "learning_rate": 9.578947368421052e-05,
656
+ "loss": 0.4855,
657
+ "step": 1080
658
+ },
659
+ {
660
+ "epoch": 7.52,
661
+ "learning_rate": 9.526315789473685e-05,
662
+ "loss": 0.6307,
663
+ "step": 1090
664
+ },
665
+ {
666
+ "epoch": 7.59,
667
+ "learning_rate": 9.473684210526316e-05,
668
+ "loss": 0.4686,
669
+ "step": 1100
670
+ },
671
+ {
672
+ "epoch": 7.66,
673
+ "learning_rate": 9.421052631578949e-05,
674
+ "loss": 0.4421,
675
+ "step": 1110
676
+ },
677
+ {
678
+ "epoch": 7.72,
679
+ "learning_rate": 9.36842105263158e-05,
680
+ "loss": 0.5434,
681
+ "step": 1120
682
+ },
683
+ {
684
+ "epoch": 7.79,
685
+ "learning_rate": 9.315789473684211e-05,
686
+ "loss": 0.6483,
687
+ "step": 1130
688
+ },
689
+ {
690
+ "epoch": 7.86,
691
+ "learning_rate": 9.263157894736843e-05,
692
+ "loss": 0.4373,
693
+ "step": 1140
694
+ },
695
+ {
696
+ "epoch": 7.93,
697
+ "learning_rate": 9.210526315789474e-05,
698
+ "loss": 0.464,
699
+ "step": 1150
700
+ },
701
+ {
702
+ "epoch": 8.0,
703
+ "learning_rate": 9.157894736842105e-05,
704
+ "loss": 0.6059,
705
+ "step": 1160
706
+ },
707
+ {
708
+ "epoch": 8.07,
709
+ "learning_rate": 9.105263157894738e-05,
710
+ "loss": 0.4463,
711
+ "step": 1170
712
+ },
713
+ {
714
+ "epoch": 8.14,
715
+ "learning_rate": 9.052631578947369e-05,
716
+ "loss": 0.3746,
717
+ "step": 1180
718
+ },
719
+ {
720
+ "epoch": 8.21,
721
+ "learning_rate": 9e-05,
722
+ "loss": 0.4007,
723
+ "step": 1190
724
+ },
725
+ {
726
+ "epoch": 8.28,
727
+ "learning_rate": 8.947368421052632e-05,
728
+ "loss": 0.5896,
729
+ "step": 1200
730
+ },
731
+ {
732
+ "epoch": 8.34,
733
+ "learning_rate": 8.894736842105263e-05,
734
+ "loss": 0.4089,
735
+ "step": 1210
736
+ },
737
+ {
738
+ "epoch": 8.41,
739
+ "learning_rate": 8.842105263157894e-05,
740
+ "loss": 0.3942,
741
+ "step": 1220
742
+ },
743
+ {
744
+ "epoch": 8.48,
745
+ "learning_rate": 8.789473684210526e-05,
746
+ "loss": 0.4547,
747
+ "step": 1230
748
+ },
749
+ {
750
+ "epoch": 8.55,
751
+ "learning_rate": 8.736842105263158e-05,
752
+ "loss": 0.497,
753
+ "step": 1240
754
+ },
755
+ {
756
+ "epoch": 8.62,
757
+ "learning_rate": 8.68421052631579e-05,
758
+ "loss": 0.3453,
759
+ "step": 1250
760
+ },
761
+ {
762
+ "epoch": 8.69,
763
+ "learning_rate": 8.631578947368421e-05,
764
+ "loss": 0.3837,
765
+ "step": 1260
766
+ },
767
+ {
768
+ "epoch": 8.76,
769
+ "learning_rate": 8.578947368421054e-05,
770
+ "loss": 0.5705,
771
+ "step": 1270
772
+ },
773
+ {
774
+ "epoch": 8.83,
775
+ "learning_rate": 8.526315789473685e-05,
776
+ "loss": 0.4159,
777
+ "step": 1280
778
+ },
779
+ {
780
+ "epoch": 8.9,
781
+ "learning_rate": 8.473684210526316e-05,
782
+ "loss": 0.3548,
783
+ "step": 1290
784
+ },
785
+ {
786
+ "epoch": 8.97,
787
+ "learning_rate": 8.421052631578948e-05,
788
+ "loss": 0.4421,
789
+ "step": 1300
790
+ },
791
+ {
792
+ "epoch": 9.03,
793
+ "learning_rate": 8.36842105263158e-05,
794
+ "loss": 0.5231,
795
+ "step": 1310
796
+ },
797
+ {
798
+ "epoch": 9.1,
799
+ "learning_rate": 8.315789473684212e-05,
800
+ "loss": 0.3367,
801
+ "step": 1320
802
+ },
803
+ {
804
+ "epoch": 9.17,
805
+ "learning_rate": 8.263157894736843e-05,
806
+ "loss": 0.3161,
807
+ "step": 1330
808
+ },
809
+ {
810
+ "epoch": 9.24,
811
+ "learning_rate": 8.210526315789474e-05,
812
+ "loss": 0.4323,
813
+ "step": 1340
814
+ },
815
+ {
816
+ "epoch": 9.31,
817
+ "learning_rate": 8.157894736842105e-05,
818
+ "loss": 0.4278,
819
+ "step": 1350
820
+ },
821
+ {
822
+ "epoch": 9.38,
823
+ "learning_rate": 8.105263157894737e-05,
824
+ "loss": 0.2999,
825
+ "step": 1360
826
+ },
827
+ {
828
+ "epoch": 9.45,
829
+ "learning_rate": 8.052631578947368e-05,
830
+ "loss": 0.3515,
831
+ "step": 1370
832
+ },
833
+ {
834
+ "epoch": 9.52,
835
+ "learning_rate": 8e-05,
836
+ "loss": 0.5025,
837
+ "step": 1380
838
+ },
839
+ {
840
+ "epoch": 9.59,
841
+ "learning_rate": 7.947368421052632e-05,
842
+ "loss": 0.331,
843
+ "step": 1390
844
+ },
845
+ {
846
+ "epoch": 9.66,
847
+ "learning_rate": 7.894736842105263e-05,
848
+ "loss": 0.3059,
849
+ "step": 1400
850
+ },
851
+ {
852
+ "epoch": 9.72,
853
+ "learning_rate": 7.842105263157895e-05,
854
+ "loss": 0.3913,
855
+ "step": 1410
856
+ },
857
+ {
858
+ "epoch": 9.79,
859
+ "learning_rate": 7.789473684210526e-05,
860
+ "loss": 0.4537,
861
+ "step": 1420
862
+ },
863
+ {
864
+ "epoch": 9.86,
865
+ "learning_rate": 7.736842105263159e-05,
866
+ "loss": 0.2862,
867
+ "step": 1430
868
+ },
869
+ {
870
+ "epoch": 9.93,
871
+ "learning_rate": 7.68421052631579e-05,
872
+ "loss": 0.3201,
873
+ "step": 1440
874
+ },
875
+ {
876
+ "epoch": 10.0,
877
+ "learning_rate": 7.631578947368422e-05,
878
+ "loss": 0.4628,
879
+ "step": 1450
880
+ },
881
+ {
882
+ "epoch": 10.0,
883
+ "eval_loss": 0.6778876781463623,
884
+ "eval_runtime": 34.9456,
885
+ "eval_samples_per_second": 48.075,
886
+ "eval_steps_per_second": 48.075,
887
+ "eval_wer": 0.5171249397009166,
888
+ "step": 1450
889
+ },
890
+ {
891
+ "epoch": 10.07,
892
+ "learning_rate": 7.578947368421054e-05,
893
+ "loss": 0.3185,
894
+ "step": 1460
895
+ },
896
+ {
897
+ "epoch": 10.14,
898
+ "learning_rate": 7.526315789473685e-05,
899
+ "loss": 0.2507,
900
+ "step": 1470
901
+ },
902
+ {
903
+ "epoch": 10.21,
904
+ "learning_rate": 7.473684210526316e-05,
905
+ "loss": 0.3112,
906
+ "step": 1480
907
+ },
908
+ {
909
+ "epoch": 10.28,
910
+ "learning_rate": 7.421052631578948e-05,
911
+ "loss": 0.4179,
912
+ "step": 1490
913
+ },
914
+ {
915
+ "epoch": 10.34,
916
+ "learning_rate": 7.368421052631579e-05,
917
+ "loss": 0.283,
918
+ "step": 1500
919
+ },
920
+ {
921
+ "epoch": 10.41,
922
+ "learning_rate": 7.315789473684212e-05,
923
+ "loss": 0.2931,
924
+ "step": 1510
925
+ },
926
+ {
927
+ "epoch": 10.48,
928
+ "learning_rate": 7.263157894736843e-05,
929
+ "loss": 0.3917,
930
+ "step": 1520
931
+ },
932
+ {
933
+ "epoch": 10.55,
934
+ "learning_rate": 7.210526315789474e-05,
935
+ "loss": 0.3625,
936
+ "step": 1530
937
+ },
938
+ {
939
+ "epoch": 10.62,
940
+ "learning_rate": 7.157894736842105e-05,
941
+ "loss": 0.258,
942
+ "step": 1540
943
+ },
944
+ {
945
+ "epoch": 10.69,
946
+ "learning_rate": 7.105263157894737e-05,
947
+ "loss": 0.3266,
948
+ "step": 1550
949
+ },
950
+ {
951
+ "epoch": 10.76,
952
+ "learning_rate": 7.052631578947368e-05,
953
+ "loss": 0.4379,
954
+ "step": 1560
955
+ },
956
+ {
957
+ "epoch": 10.83,
958
+ "learning_rate": 7e-05,
959
+ "loss": 0.3105,
960
+ "step": 1570
961
+ },
962
+ {
963
+ "epoch": 10.9,
964
+ "learning_rate": 6.947368421052632e-05,
965
+ "loss": 0.2873,
966
+ "step": 1580
967
+ },
968
+ {
969
+ "epoch": 10.97,
970
+ "learning_rate": 6.894736842105263e-05,
971
+ "loss": 0.3476,
972
+ "step": 1590
973
+ },
974
+ {
975
+ "epoch": 11.03,
976
+ "learning_rate": 6.842105263157895e-05,
977
+ "loss": 0.3837,
978
+ "step": 1600
979
+ },
980
+ {
981
+ "epoch": 11.1,
982
+ "learning_rate": 6.789473684210527e-05,
983
+ "loss": 0.2481,
984
+ "step": 1610
985
+ },
986
+ {
987
+ "epoch": 11.17,
988
+ "learning_rate": 6.736842105263159e-05,
989
+ "loss": 0.2574,
990
+ "step": 1620
991
+ },
992
+ {
993
+ "epoch": 11.24,
994
+ "learning_rate": 6.68421052631579e-05,
995
+ "loss": 0.3801,
996
+ "step": 1630
997
+ },
998
+ {
999
+ "epoch": 11.31,
1000
+ "learning_rate": 6.631578947368421e-05,
1001
+ "loss": 0.3083,
1002
+ "step": 1640
1003
+ },
1004
+ {
1005
+ "epoch": 11.38,
1006
+ "learning_rate": 6.578947368421054e-05,
1007
+ "loss": 0.2301,
1008
+ "step": 1650
1009
+ },
1010
+ {
1011
+ "epoch": 11.45,
1012
+ "learning_rate": 6.526315789473685e-05,
1013
+ "loss": 0.2517,
1014
+ "step": 1660
1015
+ },
1016
+ {
1017
+ "epoch": 11.52,
1018
+ "learning_rate": 6.473684210526316e-05,
1019
+ "loss": 0.4046,
1020
+ "step": 1670
1021
+ },
1022
+ {
1023
+ "epoch": 11.59,
1024
+ "learning_rate": 6.421052631578948e-05,
1025
+ "loss": 0.2412,
1026
+ "step": 1680
1027
+ },
1028
+ {
1029
+ "epoch": 11.66,
1030
+ "learning_rate": 6.368421052631579e-05,
1031
+ "loss": 0.2427,
1032
+ "step": 1690
1033
+ },
1034
+ {
1035
+ "epoch": 11.72,
1036
+ "learning_rate": 6.31578947368421e-05,
1037
+ "loss": 0.3368,
1038
+ "step": 1700
1039
+ },
1040
+ {
1041
+ "epoch": 11.79,
1042
+ "learning_rate": 6.263157894736842e-05,
1043
+ "loss": 0.3602,
1044
+ "step": 1710
1045
+ },
1046
+ {
1047
+ "epoch": 11.86,
1048
+ "learning_rate": 6.210526315789474e-05,
1049
+ "loss": 0.2291,
1050
+ "step": 1720
1051
+ },
1052
+ {
1053
+ "epoch": 11.93,
1054
+ "learning_rate": 6.157894736842106e-05,
1055
+ "loss": 0.268,
1056
+ "step": 1730
1057
+ },
1058
+ {
1059
+ "epoch": 12.0,
1060
+ "learning_rate": 6.105263157894737e-05,
1061
+ "loss": 0.3812,
1062
+ "step": 1740
1063
+ },
1064
+ {
1065
+ "epoch": 12.07,
1066
+ "learning_rate": 6.052631578947369e-05,
1067
+ "loss": 0.2434,
1068
+ "step": 1750
1069
+ },
1070
+ {
1071
+ "epoch": 12.14,
1072
+ "learning_rate": 6e-05,
1073
+ "loss": 0.2464,
1074
+ "step": 1760
1075
+ },
1076
+ {
1077
+ "epoch": 12.21,
1078
+ "learning_rate": 5.9473684210526315e-05,
1079
+ "loss": 0.2766,
1080
+ "step": 1770
1081
+ },
1082
+ {
1083
+ "epoch": 12.28,
1084
+ "learning_rate": 5.894736842105263e-05,
1085
+ "loss": 0.3767,
1086
+ "step": 1780
1087
+ },
1088
+ {
1089
+ "epoch": 12.34,
1090
+ "learning_rate": 5.8421052631578954e-05,
1091
+ "loss": 0.2147,
1092
+ "step": 1790
1093
+ },
1094
+ {
1095
+ "epoch": 12.41,
1096
+ "learning_rate": 5.789473684210527e-05,
1097
+ "loss": 0.2303,
1098
+ "step": 1800
1099
+ },
1100
+ {
1101
+ "epoch": 12.48,
1102
+ "learning_rate": 5.736842105263158e-05,
1103
+ "loss": 0.287,
1104
+ "step": 1810
1105
+ },
1106
+ {
1107
+ "epoch": 12.55,
1108
+ "learning_rate": 5.68421052631579e-05,
1109
+ "loss": 0.307,
1110
+ "step": 1820
1111
+ },
1112
+ {
1113
+ "epoch": 12.62,
1114
+ "learning_rate": 5.631578947368421e-05,
1115
+ "loss": 0.2175,
1116
+ "step": 1830
1117
+ },
1118
+ {
1119
+ "epoch": 12.69,
1120
+ "learning_rate": 5.5789473684210526e-05,
1121
+ "loss": 0.2523,
1122
+ "step": 1840
1123
+ },
1124
+ {
1125
+ "epoch": 12.76,
1126
+ "learning_rate": 5.526315789473685e-05,
1127
+ "loss": 0.3714,
1128
+ "step": 1850
1129
+ },
1130
+ {
1131
+ "epoch": 12.83,
1132
+ "learning_rate": 5.4736842105263165e-05,
1133
+ "loss": 0.2392,
1134
+ "step": 1860
1135
+ },
1136
+ {
1137
+ "epoch": 12.9,
1138
+ "learning_rate": 5.421052631578948e-05,
1139
+ "loss": 0.207,
1140
+ "step": 1870
1141
+ },
1142
+ {
1143
+ "epoch": 12.97,
1144
+ "learning_rate": 5.368421052631579e-05,
1145
+ "loss": 0.2852,
1146
+ "step": 1880
1147
+ },
1148
+ {
1149
+ "epoch": 13.03,
1150
+ "learning_rate": 5.3157894736842104e-05,
1151
+ "loss": 0.3358,
1152
+ "step": 1890
1153
+ },
1154
+ {
1155
+ "epoch": 13.1,
1156
+ "learning_rate": 5.2631578947368424e-05,
1157
+ "loss": 0.2168,
1158
+ "step": 1900
1159
+ },
1160
+ {
1161
+ "epoch": 13.17,
1162
+ "learning_rate": 5.210526315789474e-05,
1163
+ "loss": 0.2274,
1164
+ "step": 1910
1165
+ },
1166
+ {
1167
+ "epoch": 13.24,
1168
+ "learning_rate": 5.157894736842106e-05,
1169
+ "loss": 0.3218,
1170
+ "step": 1920
1171
+ },
1172
+ {
1173
+ "epoch": 13.31,
1174
+ "learning_rate": 5.1052631578947376e-05,
1175
+ "loss": 0.2585,
1176
+ "step": 1930
1177
+ },
1178
+ {
1179
+ "epoch": 13.38,
1180
+ "learning_rate": 5.052631578947369e-05,
1181
+ "loss": 0.1977,
1182
+ "step": 1940
1183
+ },
1184
+ {
1185
+ "epoch": 13.45,
1186
+ "learning_rate": 5e-05,
1187
+ "loss": 0.24,
1188
+ "step": 1950
1189
+ },
1190
+ {
1191
+ "epoch": 13.52,
1192
+ "learning_rate": 4.9473684210526315e-05,
1193
+ "loss": 0.3329,
1194
+ "step": 1960
1195
+ },
1196
+ {
1197
+ "epoch": 13.59,
1198
+ "learning_rate": 4.8947368421052635e-05,
1199
+ "loss": 0.1981,
1200
+ "step": 1970
1201
+ },
1202
+ {
1203
+ "epoch": 13.66,
1204
+ "learning_rate": 4.842105263157895e-05,
1205
+ "loss": 0.2081,
1206
+ "step": 1980
1207
+ },
1208
+ {
1209
+ "epoch": 13.72,
1210
+ "learning_rate": 4.789473684210526e-05,
1211
+ "loss": 0.2666,
1212
+ "step": 1990
1213
+ },
1214
+ {
1215
+ "epoch": 13.79,
1216
+ "learning_rate": 4.736842105263158e-05,
1217
+ "loss": 0.3079,
1218
+ "step": 2000
1219
+ },
1220
+ {
1221
+ "epoch": 13.86,
1222
+ "learning_rate": 4.68421052631579e-05,
1223
+ "loss": 0.1899,
1224
+ "step": 2010
1225
+ },
1226
+ {
1227
+ "epoch": 13.93,
1228
+ "learning_rate": 4.6315789473684214e-05,
1229
+ "loss": 0.2373,
1230
+ "step": 2020
1231
+ },
1232
+ {
1233
+ "epoch": 14.0,
1234
+ "learning_rate": 4.5789473684210527e-05,
1235
+ "loss": 0.3616,
1236
+ "step": 2030
1237
+ },
1238
+ {
1239
+ "epoch": 14.07,
1240
+ "learning_rate": 4.5263157894736846e-05,
1241
+ "loss": 0.2077,
1242
+ "step": 2040
1243
+ },
1244
+ {
1245
+ "epoch": 14.14,
1246
+ "learning_rate": 4.473684210526316e-05,
1247
+ "loss": 0.1876,
1248
+ "step": 2050
1249
+ },
1250
+ {
1251
+ "epoch": 14.21,
1252
+ "learning_rate": 4.421052631578947e-05,
1253
+ "loss": 0.2584,
1254
+ "step": 2060
1255
+ },
1256
+ {
1257
+ "epoch": 14.28,
1258
+ "learning_rate": 4.368421052631579e-05,
1259
+ "loss": 0.3133,
1260
+ "step": 2070
1261
+ },
1262
+ {
1263
+ "epoch": 14.34,
1264
+ "learning_rate": 4.3157894736842105e-05,
1265
+ "loss": 0.1894,
1266
+ "step": 2080
1267
+ },
1268
+ {
1269
+ "epoch": 14.41,
1270
+ "learning_rate": 4.2631578947368425e-05,
1271
+ "loss": 0.1958,
1272
+ "step": 2090
1273
+ },
1274
+ {
1275
+ "epoch": 14.48,
1276
+ "learning_rate": 4.210526315789474e-05,
1277
+ "loss": 0.2899,
1278
+ "step": 2100
1279
+ },
1280
+ {
1281
+ "epoch": 14.55,
1282
+ "learning_rate": 4.157894736842106e-05,
1283
+ "loss": 0.2644,
1284
+ "step": 2110
1285
+ },
1286
+ {
1287
+ "epoch": 14.62,
1288
+ "learning_rate": 4.105263157894737e-05,
1289
+ "loss": 0.1853,
1290
+ "step": 2120
1291
+ },
1292
+ {
1293
+ "epoch": 14.69,
1294
+ "learning_rate": 4.0526315789473684e-05,
1295
+ "loss": 0.2336,
1296
+ "step": 2130
1297
+ },
1298
+ {
1299
+ "epoch": 14.76,
1300
+ "learning_rate": 4e-05,
1301
+ "loss": 0.322,
1302
+ "step": 2140
1303
+ },
1304
+ {
1305
+ "epoch": 14.83,
1306
+ "learning_rate": 3.9473684210526316e-05,
1307
+ "loss": 0.2084,
1308
+ "step": 2150
1309
+ },
1310
+ {
1311
+ "epoch": 14.9,
1312
+ "learning_rate": 3.894736842105263e-05,
1313
+ "loss": 0.2028,
1314
+ "step": 2160
1315
+ },
1316
+ {
1317
+ "epoch": 14.97,
1318
+ "learning_rate": 3.842105263157895e-05,
1319
+ "loss": 0.2511,
1320
+ "step": 2170
1321
+ },
1322
+ {
1323
+ "epoch": 15.03,
1324
+ "learning_rate": 3.789473684210527e-05,
1325
+ "loss": 0.2843,
1326
+ "step": 2180
1327
+ },
1328
+ {
1329
+ "epoch": 15.1,
1330
+ "learning_rate": 3.736842105263158e-05,
1331
+ "loss": 0.174,
1332
+ "step": 2190
1333
+ },
1334
+ {
1335
+ "epoch": 15.17,
1336
+ "learning_rate": 3.6842105263157895e-05,
1337
+ "loss": 0.1943,
1338
+ "step": 2200
1339
+ },
1340
+ {
1341
+ "epoch": 15.24,
1342
+ "learning_rate": 3.6315789473684214e-05,
1343
+ "loss": 0.3042,
1344
+ "step": 2210
1345
+ },
1346
+ {
1347
+ "epoch": 15.31,
1348
+ "learning_rate": 3.578947368421053e-05,
1349
+ "loss": 0.2302,
1350
+ "step": 2220
1351
+ },
1352
+ {
1353
+ "epoch": 15.38,
1354
+ "learning_rate": 3.526315789473684e-05,
1355
+ "loss": 0.1731,
1356
+ "step": 2230
1357
+ },
1358
+ {
1359
+ "epoch": 15.45,
1360
+ "learning_rate": 3.473684210526316e-05,
1361
+ "loss": 0.2261,
1362
+ "step": 2240
1363
+ },
1364
+ {
1365
+ "epoch": 15.52,
1366
+ "learning_rate": 3.421052631578947e-05,
1367
+ "loss": 0.3035,
1368
+ "step": 2250
1369
+ },
1370
+ {
1371
+ "epoch": 15.59,
1372
+ "learning_rate": 3.368421052631579e-05,
1373
+ "loss": 0.2029,
1374
+ "step": 2260
1375
+ },
1376
+ {
1377
+ "epoch": 15.66,
1378
+ "learning_rate": 3.3157894736842106e-05,
1379
+ "loss": 0.1987,
1380
+ "step": 2270
1381
+ },
1382
+ {
1383
+ "epoch": 15.72,
1384
+ "learning_rate": 3.2631578947368426e-05,
1385
+ "loss": 0.262,
1386
+ "step": 2280
1387
+ },
1388
+ {
1389
+ "epoch": 15.79,
1390
+ "learning_rate": 3.210526315789474e-05,
1391
+ "loss": 0.2698,
1392
+ "step": 2290
1393
+ },
1394
+ {
1395
+ "epoch": 15.86,
1396
+ "learning_rate": 3.157894736842105e-05,
1397
+ "loss": 0.1755,
1398
+ "step": 2300
1399
+ },
1400
+ {
1401
+ "epoch": 15.93,
1402
+ "learning_rate": 3.105263157894737e-05,
1403
+ "loss": 0.1991,
1404
+ "step": 2310
1405
+ },
1406
+ {
1407
+ "epoch": 16.0,
1408
+ "learning_rate": 3.0526315789473684e-05,
1409
+ "loss": 0.3251,
1410
+ "step": 2320
1411
+ },
1412
+ {
1413
+ "epoch": 16.07,
1414
+ "learning_rate": 3e-05,
1415
+ "loss": 0.19,
1416
+ "step": 2330
1417
+ },
1418
+ {
1419
+ "epoch": 16.14,
1420
+ "learning_rate": 2.9473684210526314e-05,
1421
+ "loss": 0.1784,
1422
+ "step": 2340
1423
+ },
1424
+ {
1425
+ "epoch": 16.21,
1426
+ "learning_rate": 2.8947368421052634e-05,
1427
+ "loss": 0.2436,
1428
+ "step": 2350
1429
+ },
1430
+ {
1431
+ "epoch": 16.28,
1432
+ "learning_rate": 2.842105263157895e-05,
1433
+ "loss": 0.2933,
1434
+ "step": 2360
1435
+ },
1436
+ {
1437
+ "epoch": 16.34,
1438
+ "learning_rate": 2.7894736842105263e-05,
1439
+ "loss": 0.1761,
1440
+ "step": 2370
1441
+ },
1442
+ {
1443
+ "epoch": 16.41,
1444
+ "learning_rate": 2.7368421052631583e-05,
1445
+ "loss": 0.1848,
1446
+ "step": 2380
1447
+ },
1448
+ {
1449
+ "epoch": 16.48,
1450
+ "learning_rate": 2.6842105263157896e-05,
1451
+ "loss": 0.2543,
1452
+ "step": 2390
1453
+ },
1454
+ {
1455
+ "epoch": 16.55,
1456
+ "learning_rate": 2.6315789473684212e-05,
1457
+ "loss": 0.2544,
1458
+ "step": 2400
1459
+ },
1460
+ {
1461
+ "epoch": 16.62,
1462
+ "learning_rate": 2.578947368421053e-05,
1463
+ "loss": 0.1573,
1464
+ "step": 2410
1465
+ },
1466
+ {
1467
+ "epoch": 16.69,
1468
+ "learning_rate": 2.5263157894736845e-05,
1469
+ "loss": 0.217,
1470
+ "step": 2420
1471
+ },
1472
+ {
1473
+ "epoch": 16.76,
1474
+ "learning_rate": 2.4736842105263158e-05,
1475
+ "loss": 0.3055,
1476
+ "step": 2430
1477
+ },
1478
+ {
1479
+ "epoch": 16.83,
1480
+ "learning_rate": 2.4210526315789474e-05,
1481
+ "loss": 0.1782,
1482
+ "step": 2440
1483
+ },
1484
+ {
1485
+ "epoch": 16.9,
1486
+ "learning_rate": 2.368421052631579e-05,
1487
+ "loss": 0.1739,
1488
+ "step": 2450
1489
+ },
1490
+ {
1491
+ "epoch": 16.97,
1492
+ "learning_rate": 2.3157894736842107e-05,
1493
+ "loss": 0.2208,
1494
+ "step": 2460
1495
+ },
1496
+ {
1497
+ "epoch": 17.03,
1498
+ "learning_rate": 2.2631578947368423e-05,
1499
+ "loss": 0.2789,
1500
+ "step": 2470
1501
+ },
1502
+ {
1503
+ "epoch": 17.1,
1504
+ "learning_rate": 2.2105263157894736e-05,
1505
+ "loss": 0.1674,
1506
+ "step": 2480
1507
+ },
1508
+ {
1509
+ "epoch": 17.17,
1510
+ "learning_rate": 2.1578947368421053e-05,
1511
+ "loss": 0.1829,
1512
+ "step": 2490
1513
+ },
1514
+ {
1515
+ "epoch": 17.24,
1516
+ "learning_rate": 2.105263157894737e-05,
1517
+ "loss": 0.2931,
1518
+ "step": 2500
1519
+ },
1520
+ {
1521
+ "epoch": 17.31,
1522
+ "learning_rate": 2.0526315789473685e-05,
1523
+ "loss": 0.2071,
1524
+ "step": 2510
1525
+ },
1526
+ {
1527
+ "epoch": 17.38,
1528
+ "learning_rate": 2e-05,
1529
+ "loss": 0.1626,
1530
+ "step": 2520
1531
+ },
1532
+ {
1533
+ "epoch": 17.45,
1534
+ "learning_rate": 1.9473684210526315e-05,
1535
+ "loss": 0.1888,
1536
+ "step": 2530
1537
+ },
1538
+ {
1539
+ "epoch": 17.52,
1540
+ "learning_rate": 1.8947368421052634e-05,
1541
+ "loss": 0.2998,
1542
+ "step": 2540
1543
+ },
1544
+ {
1545
+ "epoch": 17.59,
1546
+ "learning_rate": 1.8421052631578947e-05,
1547
+ "loss": 0.1682,
1548
+ "step": 2550
1549
+ },
1550
+ {
1551
+ "epoch": 17.66,
1552
+ "learning_rate": 1.7894736842105264e-05,
1553
+ "loss": 0.176,
1554
+ "step": 2560
1555
+ },
1556
+ {
1557
+ "epoch": 17.72,
1558
+ "learning_rate": 1.736842105263158e-05,
1559
+ "loss": 0.2486,
1560
+ "step": 2570
1561
+ },
1562
+ {
1563
+ "epoch": 17.79,
1564
+ "learning_rate": 1.6842105263157896e-05,
1565
+ "loss": 0.2343,
1566
+ "step": 2580
1567
+ },
1568
+ {
1569
+ "epoch": 17.86,
1570
+ "learning_rate": 1.6315789473684213e-05,
1571
+ "loss": 0.1735,
1572
+ "step": 2590
1573
+ },
1574
+ {
1575
+ "epoch": 17.93,
1576
+ "learning_rate": 1.5789473684210526e-05,
1577
+ "loss": 0.1903,
1578
+ "step": 2600
1579
+ },
1580
+ {
1581
+ "epoch": 18.0,
1582
+ "learning_rate": 1.5263157894736842e-05,
1583
+ "loss": 0.3146,
1584
+ "step": 2610
1585
+ },
1586
+ {
1587
+ "epoch": 18.07,
1588
+ "learning_rate": 1.4736842105263157e-05,
1589
+ "loss": 0.1868,
1590
+ "step": 2620
1591
+ },
1592
+ {
1593
+ "epoch": 18.14,
1594
+ "learning_rate": 1.4210526315789475e-05,
1595
+ "loss": 0.1762,
1596
+ "step": 2630
1597
+ },
1598
+ {
1599
+ "epoch": 18.21,
1600
+ "learning_rate": 1.3684210526315791e-05,
1601
+ "loss": 0.2106,
1602
+ "step": 2640
1603
+ },
1604
+ {
1605
+ "epoch": 18.28,
1606
+ "learning_rate": 1.3157894736842106e-05,
1607
+ "loss": 0.2651,
1608
+ "step": 2650
1609
+ },
1610
+ {
1611
+ "epoch": 18.34,
1612
+ "learning_rate": 1.2631578947368422e-05,
1613
+ "loss": 0.1763,
1614
+ "step": 2660
1615
+ },
1616
+ {
1617
+ "epoch": 18.41,
1618
+ "learning_rate": 1.2105263157894737e-05,
1619
+ "loss": 0.1735,
1620
+ "step": 2670
1621
+ },
1622
+ {
1623
+ "epoch": 18.48,
1624
+ "learning_rate": 1.1578947368421053e-05,
1625
+ "loss": 0.2462,
1626
+ "step": 2680
1627
+ },
1628
+ {
1629
+ "epoch": 18.55,
1630
+ "learning_rate": 1.1052631578947368e-05,
1631
+ "loss": 0.2385,
1632
+ "step": 2690
1633
+ },
1634
+ {
1635
+ "epoch": 18.62,
1636
+ "learning_rate": 1.0526315789473684e-05,
1637
+ "loss": 0.1635,
1638
+ "step": 2700
1639
+ },
1640
+ {
1641
+ "epoch": 18.69,
1642
+ "learning_rate": 1e-05,
1643
+ "loss": 0.2076,
1644
+ "step": 2710
1645
+ },
1646
+ {
1647
+ "epoch": 18.76,
1648
+ "learning_rate": 9.473684210526317e-06,
1649
+ "loss": 0.2846,
1650
+ "step": 2720
1651
+ },
1652
+ {
1653
+ "epoch": 18.83,
1654
+ "learning_rate": 8.947368421052632e-06,
1655
+ "loss": 0.1578,
1656
+ "step": 2730
1657
+ },
1658
+ {
1659
+ "epoch": 18.9,
1660
+ "learning_rate": 8.421052631578948e-06,
1661
+ "loss": 0.1799,
1662
+ "step": 2740
1663
+ },
1664
+ {
1665
+ "epoch": 18.97,
1666
+ "learning_rate": 7.894736842105263e-06,
1667
+ "loss": 0.2316,
1668
+ "step": 2750
1669
+ },
1670
+ {
1671
+ "epoch": 19.03,
1672
+ "learning_rate": 7.3684210526315784e-06,
1673
+ "loss": 0.2804,
1674
+ "step": 2760
1675
+ },
1676
+ {
1677
+ "epoch": 19.1,
1678
+ "learning_rate": 6.842105263157896e-06,
1679
+ "loss": 0.1665,
1680
+ "step": 2770
1681
+ },
1682
+ {
1683
+ "epoch": 19.17,
1684
+ "learning_rate": 6.315789473684211e-06,
1685
+ "loss": 0.179,
1686
+ "step": 2780
1687
+ },
1688
+ {
1689
+ "epoch": 19.24,
1690
+ "learning_rate": 5.789473684210527e-06,
1691
+ "loss": 0.2641,
1692
+ "step": 2790
1693
+ },
1694
+ {
1695
+ "epoch": 19.31,
1696
+ "learning_rate": 5.263157894736842e-06,
1697
+ "loss": 0.1893,
1698
+ "step": 2800
1699
+ },
1700
+ {
1701
+ "epoch": 19.38,
1702
+ "learning_rate": 4.736842105263159e-06,
1703
+ "loss": 0.1525,
1704
+ "step": 2810
1705
+ },
1706
+ {
1707
+ "epoch": 19.45,
1708
+ "learning_rate": 4.210526315789474e-06,
1709
+ "loss": 0.2093,
1710
+ "step": 2820
1711
+ },
1712
+ {
1713
+ "epoch": 19.52,
1714
+ "learning_rate": 3.6842105263157892e-06,
1715
+ "loss": 0.2953,
1716
+ "step": 2830
1717
+ },
1718
+ {
1719
+ "epoch": 19.59,
1720
+ "learning_rate": 3.1578947368421056e-06,
1721
+ "loss": 0.1601,
1722
+ "step": 2840
1723
+ },
1724
+ {
1725
+ "epoch": 19.66,
1726
+ "learning_rate": 2.631578947368421e-06,
1727
+ "loss": 0.1738,
1728
+ "step": 2850
1729
+ },
1730
+ {
1731
+ "epoch": 19.72,
1732
+ "learning_rate": 2.105263157894737e-06,
1733
+ "loss": 0.2373,
1734
+ "step": 2860
1735
+ },
1736
+ {
1737
+ "epoch": 19.79,
1738
+ "learning_rate": 1.5789473684210528e-06,
1739
+ "loss": 0.2352,
1740
+ "step": 2870
1741
+ },
1742
+ {
1743
+ "epoch": 19.86,
1744
+ "learning_rate": 1.0526315789473685e-06,
1745
+ "loss": 0.1506,
1746
+ "step": 2880
1747
+ },
1748
+ {
1749
+ "epoch": 19.93,
1750
+ "learning_rate": 5.263157894736843e-07,
1751
+ "loss": 0.1906,
1752
+ "step": 2890
1753
+ },
1754
+ {
1755
+ "epoch": 20.0,
1756
+ "learning_rate": 0.0,
1757
+ "loss": 0.3036,
1758
+ "step": 2900
1759
+ },
1760
+ {
1761
+ "epoch": 20.0,
1762
+ "eval_loss": 0.7549105882644653,
1763
+ "eval_runtime": 29.6257,
1764
+ "eval_samples_per_second": 56.708,
1765
+ "eval_steps_per_second": 56.708,
1766
+ "eval_wer": 0.4901798635517883,
1767
+ "step": 2900
1768
+ },
1769
+ {
1770
+ "epoch": 20.0,
1771
+ "step": 2900,
1772
+ "total_flos": 2.657192658080392e+18,
1773
+ "train_loss": 0.9176692845903593,
1774
+ "train_runtime": 459.1587,
1775
+ "train_samples_per_second": 201.238,
1776
+ "train_steps_per_second": 6.316
1777
+ }
1778
+ ],
1779
+ "logging_steps": 10,
1780
+ "max_steps": 2900,
1781
+ "num_input_tokens_seen": 0,
1782
+ "num_train_epochs": 20,
1783
+ "save_steps": 1450,
1784
+ "total_flos": 2.657192658080392e+18,
1785
+ "train_batch_size": 32,
1786
+ "trial_name": null,
1787
+ "trial_params": null
1788
+ }