deepdml commited on
Commit
811caa9
1 Parent(s): aeddbe3

End of training

Browse files
README.md CHANGED
@@ -1,21 +1,24 @@
1
  ---
 
 
2
  license: apache-2.0
3
  base_model: openai/whisper-small
4
  tags:
 
5
  - generated_from_trainer
6
  datasets:
7
- - common_voice_17_0
8
  metrics:
9
  - wer
10
  model-index:
11
- - name: whisper-small-mix-it
12
  results:
13
  - task:
14
  name: Automatic Speech Recognition
15
  type: automatic-speech-recognition
16
  dataset:
17
- name: common_voice_17_0
18
- type: common_voice_17_0
19
  config: it
20
  split: test
21
  args: it
@@ -28,9 +31,9 @@ model-index:
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
29
  should probably proofread and complete it, then remove this comment. -->
30
 
31
- # whisper-small-mix-it
32
 
33
- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_17_0 dataset.
34
  It achieves the following results on the evaluation set:
35
  - Loss: 0.1909
36
  - Wer: 10.5875
 
1
  ---
2
+ language:
3
+ - it
4
  license: apache-2.0
5
  base_model: openai/whisper-small
6
  tags:
7
+ - whisper-event
8
  - generated_from_trainer
9
  datasets:
10
+ - mozilla-foundation/common_voice_17_0
11
  metrics:
12
  - wer
13
  model-index:
14
+ - name: Whisper Small Mixed-Italian
15
  results:
16
  - task:
17
  name: Automatic Speech Recognition
18
  type: automatic-speech-recognition
19
  dataset:
20
+ name: mozilla-foundation/common_voice_17_0 it
21
+ type: mozilla-foundation/common_voice_17_0
22
  config: it
23
  split: test
24
  args: it
 
31
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
32
  should probably proofread and complete it, then remove this comment. -->
33
 
34
+ # Whisper Small Mixed-Italian
35
 
36
+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_17_0 it dataset.
37
  It achieves the following results on the evaluation set:
38
  - Loss: 0.1909
39
  - Wer: 10.5875
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "eval_loss": 0.19087658822536469,
4
+ "eval_runtime": 855.712,
5
+ "eval_samples_per_second": 17.71,
6
+ "eval_steps_per_second": 2.215,
7
+ "eval_wer": 10.587474512857398,
8
+ "total_flos": 9.23473281024e+19,
9
+ "train_loss": 0.1977850432395935,
10
+ "train_runtime": 19215.1319,
11
+ "train_samples_per_second": 16.654,
12
+ "train_steps_per_second": 0.26
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "eval_loss": 0.19087658822536469,
4
+ "eval_runtime": 855.712,
5
+ "eval_samples_per_second": 17.71,
6
+ "eval_steps_per_second": 2.215,
7
+ "eval_wer": 10.587474512857398
8
+ }
runs/Sep22_18-07-34_ef8d41a2b7b7/events.out.tfevents.1727048605.ef8d41a2b7b7.608.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e7e9f769c2d7d2371b0402203895a58e6460715fa3bf59f4ddaa12722089188f
3
+ size 406
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 9.23473281024e+19,
4
+ "train_loss": 0.1977850432395935,
5
+ "train_runtime": 19215.1319,
6
+ "train_samples_per_second": 16.654,
7
+ "train_steps_per_second": 0.26
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,1487 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 10.587474512857398,
3
+ "best_model_checkpoint": "./whisper-small-mix-it/checkpoint-5000",
4
+ "epoch": 1.0,
5
+ "eval_steps": 1000,
6
+ "global_step": 5000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.005,
13
+ "grad_norm": 7.571747303009033,
14
+ "learning_rate": 4.800000000000001e-07,
15
+ "loss": 0.8106,
16
+ "step": 25
17
+ },
18
+ {
19
+ "epoch": 0.01,
20
+ "grad_norm": 4.4452080726623535,
21
+ "learning_rate": 9.800000000000001e-07,
22
+ "loss": 0.6948,
23
+ "step": 50
24
+ },
25
+ {
26
+ "epoch": 0.015,
27
+ "grad_norm": 3.8859105110168457,
28
+ "learning_rate": 1.48e-06,
29
+ "loss": 0.5709,
30
+ "step": 75
31
+ },
32
+ {
33
+ "epoch": 0.02,
34
+ "grad_norm": 2.8216567039489746,
35
+ "learning_rate": 1.98e-06,
36
+ "loss": 0.4134,
37
+ "step": 100
38
+ },
39
+ {
40
+ "epoch": 0.025,
41
+ "grad_norm": 2.741655111312866,
42
+ "learning_rate": 2.4800000000000004e-06,
43
+ "loss": 0.3693,
44
+ "step": 125
45
+ },
46
+ {
47
+ "epoch": 0.03,
48
+ "grad_norm": 2.7941854000091553,
49
+ "learning_rate": 2.9800000000000003e-06,
50
+ "loss": 0.3578,
51
+ "step": 150
52
+ },
53
+ {
54
+ "epoch": 0.035,
55
+ "grad_norm": 2.9997148513793945,
56
+ "learning_rate": 3.48e-06,
57
+ "loss": 0.3242,
58
+ "step": 175
59
+ },
60
+ {
61
+ "epoch": 0.04,
62
+ "grad_norm": 3.136533498764038,
63
+ "learning_rate": 3.980000000000001e-06,
64
+ "loss": 0.3224,
65
+ "step": 200
66
+ },
67
+ {
68
+ "epoch": 0.045,
69
+ "grad_norm": 2.4372665882110596,
70
+ "learning_rate": 4.48e-06,
71
+ "loss": 0.3051,
72
+ "step": 225
73
+ },
74
+ {
75
+ "epoch": 0.05,
76
+ "grad_norm": 2.798402786254883,
77
+ "learning_rate": 4.980000000000001e-06,
78
+ "loss": 0.3132,
79
+ "step": 250
80
+ },
81
+ {
82
+ "epoch": 0.055,
83
+ "grad_norm": 2.634129524230957,
84
+ "learning_rate": 5.480000000000001e-06,
85
+ "loss": 0.3025,
86
+ "step": 275
87
+ },
88
+ {
89
+ "epoch": 0.06,
90
+ "grad_norm": 2.955035924911499,
91
+ "learning_rate": 5.98e-06,
92
+ "loss": 0.3381,
93
+ "step": 300
94
+ },
95
+ {
96
+ "epoch": 0.065,
97
+ "grad_norm": 2.6961045265197754,
98
+ "learning_rate": 6.480000000000001e-06,
99
+ "loss": 0.3108,
100
+ "step": 325
101
+ },
102
+ {
103
+ "epoch": 0.07,
104
+ "grad_norm": 2.5583386421203613,
105
+ "learning_rate": 6.98e-06,
106
+ "loss": 0.3108,
107
+ "step": 350
108
+ },
109
+ {
110
+ "epoch": 0.075,
111
+ "grad_norm": 2.4596619606018066,
112
+ "learning_rate": 7.48e-06,
113
+ "loss": 0.3041,
114
+ "step": 375
115
+ },
116
+ {
117
+ "epoch": 0.08,
118
+ "grad_norm": 2.315897226333618,
119
+ "learning_rate": 7.980000000000002e-06,
120
+ "loss": 0.2813,
121
+ "step": 400
122
+ },
123
+ {
124
+ "epoch": 0.085,
125
+ "grad_norm": 2.350675582885742,
126
+ "learning_rate": 8.48e-06,
127
+ "loss": 0.2673,
128
+ "step": 425
129
+ },
130
+ {
131
+ "epoch": 0.09,
132
+ "grad_norm": 2.274202585220337,
133
+ "learning_rate": 8.98e-06,
134
+ "loss": 0.2589,
135
+ "step": 450
136
+ },
137
+ {
138
+ "epoch": 0.095,
139
+ "grad_norm": 2.398346424102783,
140
+ "learning_rate": 9.48e-06,
141
+ "loss": 0.2554,
142
+ "step": 475
143
+ },
144
+ {
145
+ "epoch": 0.1,
146
+ "grad_norm": 2.4121956825256348,
147
+ "learning_rate": 9.980000000000001e-06,
148
+ "loss": 0.2365,
149
+ "step": 500
150
+ },
151
+ {
152
+ "epoch": 0.105,
153
+ "grad_norm": 2.320568323135376,
154
+ "learning_rate": 9.946666666666667e-06,
155
+ "loss": 0.2527,
156
+ "step": 525
157
+ },
158
+ {
159
+ "epoch": 0.11,
160
+ "grad_norm": 2.2950375080108643,
161
+ "learning_rate": 9.891111111111113e-06,
162
+ "loss": 0.2731,
163
+ "step": 550
164
+ },
165
+ {
166
+ "epoch": 0.115,
167
+ "grad_norm": 2.712926149368286,
168
+ "learning_rate": 9.835555555555556e-06,
169
+ "loss": 0.3282,
170
+ "step": 575
171
+ },
172
+ {
173
+ "epoch": 0.12,
174
+ "grad_norm": 2.2590723037719727,
175
+ "learning_rate": 9.780000000000001e-06,
176
+ "loss": 0.3311,
177
+ "step": 600
178
+ },
179
+ {
180
+ "epoch": 0.125,
181
+ "grad_norm": 2.4605965614318848,
182
+ "learning_rate": 9.724444444444445e-06,
183
+ "loss": 0.2867,
184
+ "step": 625
185
+ },
186
+ {
187
+ "epoch": 0.13,
188
+ "grad_norm": 2.426866292953491,
189
+ "learning_rate": 9.66888888888889e-06,
190
+ "loss": 0.2805,
191
+ "step": 650
192
+ },
193
+ {
194
+ "epoch": 0.135,
195
+ "grad_norm": 2.631782293319702,
196
+ "learning_rate": 9.613333333333335e-06,
197
+ "loss": 0.2511,
198
+ "step": 675
199
+ },
200
+ {
201
+ "epoch": 0.14,
202
+ "grad_norm": 2.4071285724639893,
203
+ "learning_rate": 9.557777777777777e-06,
204
+ "loss": 0.2404,
205
+ "step": 700
206
+ },
207
+ {
208
+ "epoch": 0.145,
209
+ "grad_norm": 2.018366575241089,
210
+ "learning_rate": 9.502222222222223e-06,
211
+ "loss": 0.2236,
212
+ "step": 725
213
+ },
214
+ {
215
+ "epoch": 0.15,
216
+ "grad_norm": 2.0572237968444824,
217
+ "learning_rate": 9.446666666666667e-06,
218
+ "loss": 0.2244,
219
+ "step": 750
220
+ },
221
+ {
222
+ "epoch": 0.155,
223
+ "grad_norm": 2.3840184211730957,
224
+ "learning_rate": 9.391111111111111e-06,
225
+ "loss": 0.2346,
226
+ "step": 775
227
+ },
228
+ {
229
+ "epoch": 0.16,
230
+ "grad_norm": 2.5831480026245117,
231
+ "learning_rate": 9.335555555555557e-06,
232
+ "loss": 0.325,
233
+ "step": 800
234
+ },
235
+ {
236
+ "epoch": 0.165,
237
+ "grad_norm": 2.831907272338867,
238
+ "learning_rate": 9.280000000000001e-06,
239
+ "loss": 0.332,
240
+ "step": 825
241
+ },
242
+ {
243
+ "epoch": 0.17,
244
+ "grad_norm": 2.4622819423675537,
245
+ "learning_rate": 9.224444444444445e-06,
246
+ "loss": 0.3338,
247
+ "step": 850
248
+ },
249
+ {
250
+ "epoch": 0.175,
251
+ "grad_norm": 2.7406504154205322,
252
+ "learning_rate": 9.168888888888889e-06,
253
+ "loss": 0.2918,
254
+ "step": 875
255
+ },
256
+ {
257
+ "epoch": 0.18,
258
+ "grad_norm": 2.1826331615448,
259
+ "learning_rate": 9.113333333333335e-06,
260
+ "loss": 0.2737,
261
+ "step": 900
262
+ },
263
+ {
264
+ "epoch": 0.185,
265
+ "grad_norm": 2.2491261959075928,
266
+ "learning_rate": 9.057777777777779e-06,
267
+ "loss": 0.2247,
268
+ "step": 925
269
+ },
270
+ {
271
+ "epoch": 0.19,
272
+ "grad_norm": 1.9993724822998047,
273
+ "learning_rate": 9.002222222222223e-06,
274
+ "loss": 0.2251,
275
+ "step": 950
276
+ },
277
+ {
278
+ "epoch": 0.195,
279
+ "grad_norm": 2.3380165100097656,
280
+ "learning_rate": 8.946666666666669e-06,
281
+ "loss": 0.2129,
282
+ "step": 975
283
+ },
284
+ {
285
+ "epoch": 0.2,
286
+ "grad_norm": 2.147649049758911,
287
+ "learning_rate": 8.891111111111111e-06,
288
+ "loss": 0.2213,
289
+ "step": 1000
290
+ },
291
+ {
292
+ "epoch": 0.2,
293
+ "eval_loss": 0.24065828323364258,
294
+ "eval_runtime": 704.3288,
295
+ "eval_samples_per_second": 21.517,
296
+ "eval_steps_per_second": 2.691,
297
+ "eval_wer": 13.460510600671737,
298
+ "step": 1000
299
+ },
300
+ {
301
+ "epoch": 0.205,
302
+ "grad_norm": 2.1159000396728516,
303
+ "learning_rate": 8.835555555555557e-06,
304
+ "loss": 0.2184,
305
+ "step": 1025
306
+ },
307
+ {
308
+ "epoch": 0.21,
309
+ "grad_norm": 1.7620288133621216,
310
+ "learning_rate": 8.78e-06,
311
+ "loss": 0.2027,
312
+ "step": 1050
313
+ },
314
+ {
315
+ "epoch": 0.215,
316
+ "grad_norm": 1.9889628887176514,
317
+ "learning_rate": 8.724444444444445e-06,
318
+ "loss": 0.2087,
319
+ "step": 1075
320
+ },
321
+ {
322
+ "epoch": 0.22,
323
+ "grad_norm": 1.8565176725387573,
324
+ "learning_rate": 8.66888888888889e-06,
325
+ "loss": 0.213,
326
+ "step": 1100
327
+ },
328
+ {
329
+ "epoch": 0.225,
330
+ "grad_norm": 1.9121789932250977,
331
+ "learning_rate": 8.613333333333333e-06,
332
+ "loss": 0.1944,
333
+ "step": 1125
334
+ },
335
+ {
336
+ "epoch": 0.23,
337
+ "grad_norm": 2.0282061100006104,
338
+ "learning_rate": 8.557777777777778e-06,
339
+ "loss": 0.2029,
340
+ "step": 1150
341
+ },
342
+ {
343
+ "epoch": 0.235,
344
+ "grad_norm": 2.0103440284729004,
345
+ "learning_rate": 8.502222222222223e-06,
346
+ "loss": 0.193,
347
+ "step": 1175
348
+ },
349
+ {
350
+ "epoch": 0.24,
351
+ "grad_norm": 1.8842862844467163,
352
+ "learning_rate": 8.446666666666668e-06,
353
+ "loss": 0.1881,
354
+ "step": 1200
355
+ },
356
+ {
357
+ "epoch": 0.245,
358
+ "grad_norm": 2.2236127853393555,
359
+ "learning_rate": 8.391111111111112e-06,
360
+ "loss": 0.1776,
361
+ "step": 1225
362
+ },
363
+ {
364
+ "epoch": 0.25,
365
+ "grad_norm": 1.9313597679138184,
366
+ "learning_rate": 8.335555555555556e-06,
367
+ "loss": 0.1725,
368
+ "step": 1250
369
+ },
370
+ {
371
+ "epoch": 0.255,
372
+ "grad_norm": 1.8937866687774658,
373
+ "learning_rate": 8.28e-06,
374
+ "loss": 0.1967,
375
+ "step": 1275
376
+ },
377
+ {
378
+ "epoch": 0.26,
379
+ "grad_norm": 2.6142194271087646,
380
+ "learning_rate": 8.224444444444444e-06,
381
+ "loss": 0.2598,
382
+ "step": 1300
383
+ },
384
+ {
385
+ "epoch": 0.265,
386
+ "grad_norm": 2.1339993476867676,
387
+ "learning_rate": 8.16888888888889e-06,
388
+ "loss": 0.2464,
389
+ "step": 1325
390
+ },
391
+ {
392
+ "epoch": 0.27,
393
+ "grad_norm": 1.7635416984558105,
394
+ "learning_rate": 8.113333333333334e-06,
395
+ "loss": 0.2103,
396
+ "step": 1350
397
+ },
398
+ {
399
+ "epoch": 0.275,
400
+ "grad_norm": 1.9434435367584229,
401
+ "learning_rate": 8.057777777777778e-06,
402
+ "loss": 0.2077,
403
+ "step": 1375
404
+ },
405
+ {
406
+ "epoch": 0.28,
407
+ "grad_norm": 1.7413808107376099,
408
+ "learning_rate": 8.002222222222222e-06,
409
+ "loss": 0.2123,
410
+ "step": 1400
411
+ },
412
+ {
413
+ "epoch": 0.285,
414
+ "grad_norm": 1.676006555557251,
415
+ "learning_rate": 7.946666666666666e-06,
416
+ "loss": 0.1803,
417
+ "step": 1425
418
+ },
419
+ {
420
+ "epoch": 0.29,
421
+ "grad_norm": 1.9897364377975464,
422
+ "learning_rate": 7.891111111111112e-06,
423
+ "loss": 0.1647,
424
+ "step": 1450
425
+ },
426
+ {
427
+ "epoch": 0.295,
428
+ "grad_norm": 2.0311105251312256,
429
+ "learning_rate": 7.835555555555556e-06,
430
+ "loss": 0.1721,
431
+ "step": 1475
432
+ },
433
+ {
434
+ "epoch": 0.3,
435
+ "grad_norm": 2.149789333343506,
436
+ "learning_rate": 7.78e-06,
437
+ "loss": 0.1799,
438
+ "step": 1500
439
+ },
440
+ {
441
+ "epoch": 0.305,
442
+ "grad_norm": 2.448418617248535,
443
+ "learning_rate": 7.724444444444446e-06,
444
+ "loss": 0.1805,
445
+ "step": 1525
446
+ },
447
+ {
448
+ "epoch": 0.31,
449
+ "grad_norm": 2.129755735397339,
450
+ "learning_rate": 7.66888888888889e-06,
451
+ "loss": 0.2502,
452
+ "step": 1550
453
+ },
454
+ {
455
+ "epoch": 0.315,
456
+ "grad_norm": 1.7567689418792725,
457
+ "learning_rate": 7.613333333333334e-06,
458
+ "loss": 0.2249,
459
+ "step": 1575
460
+ },
461
+ {
462
+ "epoch": 0.32,
463
+ "grad_norm": 1.5997744798660278,
464
+ "learning_rate": 7.557777777777779e-06,
465
+ "loss": 0.1647,
466
+ "step": 1600
467
+ },
468
+ {
469
+ "epoch": 0.325,
470
+ "grad_norm": 1.6361225843429565,
471
+ "learning_rate": 7.502222222222223e-06,
472
+ "loss": 0.1646,
473
+ "step": 1625
474
+ },
475
+ {
476
+ "epoch": 0.33,
477
+ "grad_norm": 1.6844338178634644,
478
+ "learning_rate": 7.446666666666668e-06,
479
+ "loss": 0.1532,
480
+ "step": 1650
481
+ },
482
+ {
483
+ "epoch": 0.335,
484
+ "grad_norm": 1.4503517150878906,
485
+ "learning_rate": 7.3911111111111125e-06,
486
+ "loss": 0.1494,
487
+ "step": 1675
488
+ },
489
+ {
490
+ "epoch": 0.34,
491
+ "grad_norm": 1.5753148794174194,
492
+ "learning_rate": 7.335555555555556e-06,
493
+ "loss": 0.1488,
494
+ "step": 1700
495
+ },
496
+ {
497
+ "epoch": 0.345,
498
+ "grad_norm": 1.8972795009613037,
499
+ "learning_rate": 7.280000000000001e-06,
500
+ "loss": 0.1671,
501
+ "step": 1725
502
+ },
503
+ {
504
+ "epoch": 0.35,
505
+ "grad_norm": 2.3437507152557373,
506
+ "learning_rate": 7.224444444444445e-06,
507
+ "loss": 0.1862,
508
+ "step": 1750
509
+ },
510
+ {
511
+ "epoch": 0.355,
512
+ "grad_norm": 1.9804730415344238,
513
+ "learning_rate": 7.1688888888888895e-06,
514
+ "loss": 0.1904,
515
+ "step": 1775
516
+ },
517
+ {
518
+ "epoch": 0.36,
519
+ "grad_norm": 2.2449533939361572,
520
+ "learning_rate": 7.113333333333334e-06,
521
+ "loss": 0.1938,
522
+ "step": 1800
523
+ },
524
+ {
525
+ "epoch": 0.365,
526
+ "grad_norm": 2.0063376426696777,
527
+ "learning_rate": 7.057777777777778e-06,
528
+ "loss": 0.1933,
529
+ "step": 1825
530
+ },
531
+ {
532
+ "epoch": 0.37,
533
+ "grad_norm": 1.804547905921936,
534
+ "learning_rate": 7.0022222222222225e-06,
535
+ "loss": 0.1592,
536
+ "step": 1850
537
+ },
538
+ {
539
+ "epoch": 0.375,
540
+ "grad_norm": 1.7678463459014893,
541
+ "learning_rate": 6.946666666666667e-06,
542
+ "loss": 0.1508,
543
+ "step": 1875
544
+ },
545
+ {
546
+ "epoch": 0.38,
547
+ "grad_norm": 1.8199127912521362,
548
+ "learning_rate": 6.891111111111111e-06,
549
+ "loss": 0.1678,
550
+ "step": 1900
551
+ },
552
+ {
553
+ "epoch": 0.385,
554
+ "grad_norm": 2.3224880695343018,
555
+ "learning_rate": 6.835555555555556e-06,
556
+ "loss": 0.1972,
557
+ "step": 1925
558
+ },
559
+ {
560
+ "epoch": 0.39,
561
+ "grad_norm": 2.035727024078369,
562
+ "learning_rate": 6.780000000000001e-06,
563
+ "loss": 0.2074,
564
+ "step": 1950
565
+ },
566
+ {
567
+ "epoch": 0.395,
568
+ "grad_norm": 2.022366523742676,
569
+ "learning_rate": 6.724444444444444e-06,
570
+ "loss": 0.1959,
571
+ "step": 1975
572
+ },
573
+ {
574
+ "epoch": 0.4,
575
+ "grad_norm": 2.046525716781616,
576
+ "learning_rate": 6.668888888888889e-06,
577
+ "loss": 0.1582,
578
+ "step": 2000
579
+ },
580
+ {
581
+ "epoch": 0.4,
582
+ "eval_loss": 0.21434400975704193,
583
+ "eval_runtime": 707.9201,
584
+ "eval_samples_per_second": 21.408,
585
+ "eval_steps_per_second": 2.677,
586
+ "eval_wer": 12.264182068929111,
587
+ "step": 2000
588
+ },
589
+ {
590
+ "epoch": 0.405,
591
+ "grad_norm": 1.9399248361587524,
592
+ "learning_rate": 6.613333333333334e-06,
593
+ "loss": 0.1593,
594
+ "step": 2025
595
+ },
596
+ {
597
+ "epoch": 0.41,
598
+ "grad_norm": 1.952101469039917,
599
+ "learning_rate": 6.557777777777778e-06,
600
+ "loss": 0.1676,
601
+ "step": 2050
602
+ },
603
+ {
604
+ "epoch": 0.415,
605
+ "grad_norm": 2.004068613052368,
606
+ "learning_rate": 6.502222222222223e-06,
607
+ "loss": 0.2002,
608
+ "step": 2075
609
+ },
610
+ {
611
+ "epoch": 0.42,
612
+ "grad_norm": 2.298147439956665,
613
+ "learning_rate": 6.446666666666668e-06,
614
+ "loss": 0.1977,
615
+ "step": 2100
616
+ },
617
+ {
618
+ "epoch": 0.425,
619
+ "grad_norm": 2.5287961959838867,
620
+ "learning_rate": 6.391111111111111e-06,
621
+ "loss": 0.3416,
622
+ "step": 2125
623
+ },
624
+ {
625
+ "epoch": 0.43,
626
+ "grad_norm": 1.9228953123092651,
627
+ "learning_rate": 6.335555555555556e-06,
628
+ "loss": 0.3219,
629
+ "step": 2150
630
+ },
631
+ {
632
+ "epoch": 0.435,
633
+ "grad_norm": 1.8267163038253784,
634
+ "learning_rate": 6.280000000000001e-06,
635
+ "loss": 0.23,
636
+ "step": 2175
637
+ },
638
+ {
639
+ "epoch": 0.44,
640
+ "grad_norm": 1.5915461778640747,
641
+ "learning_rate": 6.224444444444445e-06,
642
+ "loss": 0.1586,
643
+ "step": 2200
644
+ },
645
+ {
646
+ "epoch": 0.445,
647
+ "grad_norm": 1.4649773836135864,
648
+ "learning_rate": 6.16888888888889e-06,
649
+ "loss": 0.1314,
650
+ "step": 2225
651
+ },
652
+ {
653
+ "epoch": 0.45,
654
+ "grad_norm": 1.800898790359497,
655
+ "learning_rate": 6.113333333333333e-06,
656
+ "loss": 0.1303,
657
+ "step": 2250
658
+ },
659
+ {
660
+ "epoch": 0.455,
661
+ "grad_norm": 1.6255425214767456,
662
+ "learning_rate": 6.057777777777778e-06,
663
+ "loss": 0.1482,
664
+ "step": 2275
665
+ },
666
+ {
667
+ "epoch": 0.46,
668
+ "grad_norm": 1.6611112356185913,
669
+ "learning_rate": 6.002222222222223e-06,
670
+ "loss": 0.1262,
671
+ "step": 2300
672
+ },
673
+ {
674
+ "epoch": 0.465,
675
+ "grad_norm": 1.6362543106079102,
676
+ "learning_rate": 5.946666666666668e-06,
677
+ "loss": 0.1413,
678
+ "step": 2325
679
+ },
680
+ {
681
+ "epoch": 0.47,
682
+ "grad_norm": 1.7811627388000488,
683
+ "learning_rate": 5.891111111111112e-06,
684
+ "loss": 0.1587,
685
+ "step": 2350
686
+ },
687
+ {
688
+ "epoch": 0.475,
689
+ "grad_norm": 1.9331281185150146,
690
+ "learning_rate": 5.8355555555555565e-06,
691
+ "loss": 0.1623,
692
+ "step": 2375
693
+ },
694
+ {
695
+ "epoch": 0.48,
696
+ "grad_norm": 1.6756068468093872,
697
+ "learning_rate": 5.78e-06,
698
+ "loss": 0.1495,
699
+ "step": 2400
700
+ },
701
+ {
702
+ "epoch": 0.485,
703
+ "grad_norm": 1.714150309562683,
704
+ "learning_rate": 5.724444444444445e-06,
705
+ "loss": 0.1542,
706
+ "step": 2425
707
+ },
708
+ {
709
+ "epoch": 0.49,
710
+ "grad_norm": 1.4862266778945923,
711
+ "learning_rate": 5.6688888888888895e-06,
712
+ "loss": 0.1569,
713
+ "step": 2450
714
+ },
715
+ {
716
+ "epoch": 0.495,
717
+ "grad_norm": 1.72484290599823,
718
+ "learning_rate": 5.613333333333334e-06,
719
+ "loss": 0.1449,
720
+ "step": 2475
721
+ },
722
+ {
723
+ "epoch": 0.5,
724
+ "grad_norm": 1.7387865781784058,
725
+ "learning_rate": 5.557777777777778e-06,
726
+ "loss": 0.137,
727
+ "step": 2500
728
+ },
729
+ {
730
+ "epoch": 0.505,
731
+ "grad_norm": 2.0343728065490723,
732
+ "learning_rate": 5.5022222222222224e-06,
733
+ "loss": 0.1448,
734
+ "step": 2525
735
+ },
736
+ {
737
+ "epoch": 0.51,
738
+ "grad_norm": 1.5081489086151123,
739
+ "learning_rate": 5.4466666666666665e-06,
740
+ "loss": 0.1304,
741
+ "step": 2550
742
+ },
743
+ {
744
+ "epoch": 0.515,
745
+ "grad_norm": 1.6394362449645996,
746
+ "learning_rate": 5.391111111111111e-06,
747
+ "loss": 0.1362,
748
+ "step": 2575
749
+ },
750
+ {
751
+ "epoch": 0.52,
752
+ "grad_norm": 1.968766689300537,
753
+ "learning_rate": 5.335555555555556e-06,
754
+ "loss": 0.157,
755
+ "step": 2600
756
+ },
757
+ {
758
+ "epoch": 0.525,
759
+ "grad_norm": 2.227083206176758,
760
+ "learning_rate": 5.28e-06,
761
+ "loss": 0.1589,
762
+ "step": 2625
763
+ },
764
+ {
765
+ "epoch": 0.53,
766
+ "grad_norm": 1.7511582374572754,
767
+ "learning_rate": 5.224444444444445e-06,
768
+ "loss": 0.1544,
769
+ "step": 2650
770
+ },
771
+ {
772
+ "epoch": 0.535,
773
+ "grad_norm": 1.838564157485962,
774
+ "learning_rate": 5.168888888888889e-06,
775
+ "loss": 0.1408,
776
+ "step": 2675
777
+ },
778
+ {
779
+ "epoch": 0.54,
780
+ "grad_norm": 1.5015802383422852,
781
+ "learning_rate": 5.113333333333333e-06,
782
+ "loss": 0.1452,
783
+ "step": 2700
784
+ },
785
+ {
786
+ "epoch": 0.545,
787
+ "grad_norm": 2.10288667678833,
788
+ "learning_rate": 5.057777777777778e-06,
789
+ "loss": 0.1664,
790
+ "step": 2725
791
+ },
792
+ {
793
+ "epoch": 0.55,
794
+ "grad_norm": 2.287795305252075,
795
+ "learning_rate": 5.002222222222223e-06,
796
+ "loss": 0.1751,
797
+ "step": 2750
798
+ },
799
+ {
800
+ "epoch": 0.555,
801
+ "grad_norm": 2.386364698410034,
802
+ "learning_rate": 4.946666666666667e-06,
803
+ "loss": 0.1635,
804
+ "step": 2775
805
+ },
806
+ {
807
+ "epoch": 0.56,
808
+ "grad_norm": 1.9961427450180054,
809
+ "learning_rate": 4.891111111111111e-06,
810
+ "loss": 0.1544,
811
+ "step": 2800
812
+ },
813
+ {
814
+ "epoch": 0.565,
815
+ "grad_norm": 1.952929973602295,
816
+ "learning_rate": 4.835555555555556e-06,
817
+ "loss": 0.1682,
818
+ "step": 2825
819
+ },
820
+ {
821
+ "epoch": 0.57,
822
+ "grad_norm": 1.7093037366867065,
823
+ "learning_rate": 4.78e-06,
824
+ "loss": 0.1738,
825
+ "step": 2850
826
+ },
827
+ {
828
+ "epoch": 0.575,
829
+ "grad_norm": 1.9177967309951782,
830
+ "learning_rate": 4.724444444444445e-06,
831
+ "loss": 0.1369,
832
+ "step": 2875
833
+ },
834
+ {
835
+ "epoch": 0.58,
836
+ "grad_norm": 1.7161290645599365,
837
+ "learning_rate": 4.66888888888889e-06,
838
+ "loss": 0.1386,
839
+ "step": 2900
840
+ },
841
+ {
842
+ "epoch": 0.585,
843
+ "grad_norm": 2.1072142124176025,
844
+ "learning_rate": 4.613333333333334e-06,
845
+ "loss": 0.222,
846
+ "step": 2925
847
+ },
848
+ {
849
+ "epoch": 0.59,
850
+ "grad_norm": 1.521346092224121,
851
+ "learning_rate": 4.557777777777778e-06,
852
+ "loss": 0.1801,
853
+ "step": 2950
854
+ },
855
+ {
856
+ "epoch": 0.595,
857
+ "grad_norm": 1.8204540014266968,
858
+ "learning_rate": 4.502222222222223e-06,
859
+ "loss": 0.155,
860
+ "step": 2975
861
+ },
862
+ {
863
+ "epoch": 0.6,
864
+ "grad_norm": 1.8535057306289673,
865
+ "learning_rate": 4.446666666666667e-06,
866
+ "loss": 0.1913,
867
+ "step": 3000
868
+ },
869
+ {
870
+ "epoch": 0.6,
871
+ "eval_loss": 0.20219513773918152,
872
+ "eval_runtime": 700.7499,
873
+ "eval_samples_per_second": 21.627,
874
+ "eval_steps_per_second": 2.704,
875
+ "eval_wer": 11.232818861475318,
876
+ "step": 3000
877
+ },
878
+ {
879
+ "epoch": 0.605,
880
+ "grad_norm": 1.7448265552520752,
881
+ "learning_rate": 4.391111111111112e-06,
882
+ "loss": 0.1911,
883
+ "step": 3025
884
+ },
885
+ {
886
+ "epoch": 0.61,
887
+ "grad_norm": 1.9879142045974731,
888
+ "learning_rate": 4.3355555555555565e-06,
889
+ "loss": 0.1887,
890
+ "step": 3050
891
+ },
892
+ {
893
+ "epoch": 0.615,
894
+ "grad_norm": 1.6797877550125122,
895
+ "learning_rate": 4.2800000000000005e-06,
896
+ "loss": 0.1838,
897
+ "step": 3075
898
+ },
899
+ {
900
+ "epoch": 0.62,
901
+ "grad_norm": 2.2724123001098633,
902
+ "learning_rate": 4.2244444444444446e-06,
903
+ "loss": 0.1914,
904
+ "step": 3100
905
+ },
906
+ {
907
+ "epoch": 0.625,
908
+ "grad_norm": 2.0982179641723633,
909
+ "learning_rate": 4.168888888888889e-06,
910
+ "loss": 0.1798,
911
+ "step": 3125
912
+ },
913
+ {
914
+ "epoch": 0.63,
915
+ "grad_norm": 2.1598305702209473,
916
+ "learning_rate": 4.1133333333333335e-06,
917
+ "loss": 0.1717,
918
+ "step": 3150
919
+ },
920
+ {
921
+ "epoch": 0.635,
922
+ "grad_norm": 2.225451707839966,
923
+ "learning_rate": 4.057777777777778e-06,
924
+ "loss": 0.1788,
925
+ "step": 3175
926
+ },
927
+ {
928
+ "epoch": 0.64,
929
+ "grad_norm": 1.8868625164031982,
930
+ "learning_rate": 4.002222222222222e-06,
931
+ "loss": 0.1768,
932
+ "step": 3200
933
+ },
934
+ {
935
+ "epoch": 0.645,
936
+ "grad_norm": 1.864670991897583,
937
+ "learning_rate": 3.946666666666667e-06,
938
+ "loss": 0.1661,
939
+ "step": 3225
940
+ },
941
+ {
942
+ "epoch": 0.65,
943
+ "grad_norm": 2.103564500808716,
944
+ "learning_rate": 3.891111111111111e-06,
945
+ "loss": 0.1931,
946
+ "step": 3250
947
+ },
948
+ {
949
+ "epoch": 0.655,
950
+ "grad_norm": 1.8054132461547852,
951
+ "learning_rate": 3.835555555555555e-06,
952
+ "loss": 0.1883,
953
+ "step": 3275
954
+ },
955
+ {
956
+ "epoch": 0.66,
957
+ "grad_norm": 1.7523831129074097,
958
+ "learning_rate": 3.7800000000000002e-06,
959
+ "loss": 0.1575,
960
+ "step": 3300
961
+ },
962
+ {
963
+ "epoch": 0.665,
964
+ "grad_norm": 1.9287195205688477,
965
+ "learning_rate": 3.724444444444445e-06,
966
+ "loss": 0.1597,
967
+ "step": 3325
968
+ },
969
+ {
970
+ "epoch": 0.67,
971
+ "grad_norm": 1.4184482097625732,
972
+ "learning_rate": 3.668888888888889e-06,
973
+ "loss": 0.1468,
974
+ "step": 3350
975
+ },
976
+ {
977
+ "epoch": 0.675,
978
+ "grad_norm": 1.6231290102005005,
979
+ "learning_rate": 3.6133333333333336e-06,
980
+ "loss": 0.139,
981
+ "step": 3375
982
+ },
983
+ {
984
+ "epoch": 0.68,
985
+ "grad_norm": 1.2594499588012695,
986
+ "learning_rate": 3.5577777777777785e-06,
987
+ "loss": 0.1551,
988
+ "step": 3400
989
+ },
990
+ {
991
+ "epoch": 0.685,
992
+ "grad_norm": 1.8359473943710327,
993
+ "learning_rate": 3.5022222222222225e-06,
994
+ "loss": 0.1454,
995
+ "step": 3425
996
+ },
997
+ {
998
+ "epoch": 0.69,
999
+ "grad_norm": 1.5489341020584106,
1000
+ "learning_rate": 3.446666666666667e-06,
1001
+ "loss": 0.1627,
1002
+ "step": 3450
1003
+ },
1004
+ {
1005
+ "epoch": 0.695,
1006
+ "grad_norm": 1.7028127908706665,
1007
+ "learning_rate": 3.391111111111111e-06,
1008
+ "loss": 0.1429,
1009
+ "step": 3475
1010
+ },
1011
+ {
1012
+ "epoch": 0.7,
1013
+ "grad_norm": 1.9561749696731567,
1014
+ "learning_rate": 3.335555555555556e-06,
1015
+ "loss": 0.1368,
1016
+ "step": 3500
1017
+ },
1018
+ {
1019
+ "epoch": 0.705,
1020
+ "grad_norm": 2.1024222373962402,
1021
+ "learning_rate": 3.2800000000000004e-06,
1022
+ "loss": 0.1661,
1023
+ "step": 3525
1024
+ },
1025
+ {
1026
+ "epoch": 0.71,
1027
+ "grad_norm": 2.004310131072998,
1028
+ "learning_rate": 3.2244444444444444e-06,
1029
+ "loss": 0.1432,
1030
+ "step": 3550
1031
+ },
1032
+ {
1033
+ "epoch": 0.715,
1034
+ "grad_norm": 1.3818813562393188,
1035
+ "learning_rate": 3.1688888888888893e-06,
1036
+ "loss": 0.1251,
1037
+ "step": 3575
1038
+ },
1039
+ {
1040
+ "epoch": 0.72,
1041
+ "grad_norm": 1.6478841304779053,
1042
+ "learning_rate": 3.1133333333333337e-06,
1043
+ "loss": 0.1261,
1044
+ "step": 3600
1045
+ },
1046
+ {
1047
+ "epoch": 0.725,
1048
+ "grad_norm": 1.5140513181686401,
1049
+ "learning_rate": 3.0577777777777778e-06,
1050
+ "loss": 0.1178,
1051
+ "step": 3625
1052
+ },
1053
+ {
1054
+ "epoch": 0.73,
1055
+ "grad_norm": 1.7134217023849487,
1056
+ "learning_rate": 3.0022222222222227e-06,
1057
+ "loss": 0.1448,
1058
+ "step": 3650
1059
+ },
1060
+ {
1061
+ "epoch": 0.735,
1062
+ "grad_norm": 2.0633442401885986,
1063
+ "learning_rate": 2.946666666666667e-06,
1064
+ "loss": 0.1637,
1065
+ "step": 3675
1066
+ },
1067
+ {
1068
+ "epoch": 0.74,
1069
+ "grad_norm": 1.6094017028808594,
1070
+ "learning_rate": 2.891111111111111e-06,
1071
+ "loss": 0.1342,
1072
+ "step": 3700
1073
+ },
1074
+ {
1075
+ "epoch": 0.745,
1076
+ "grad_norm": 1.776197910308838,
1077
+ "learning_rate": 2.835555555555556e-06,
1078
+ "loss": 0.1567,
1079
+ "step": 3725
1080
+ },
1081
+ {
1082
+ "epoch": 0.75,
1083
+ "grad_norm": 2.1370580196380615,
1084
+ "learning_rate": 2.7800000000000005e-06,
1085
+ "loss": 0.1423,
1086
+ "step": 3750
1087
+ },
1088
+ {
1089
+ "epoch": 0.755,
1090
+ "grad_norm": 2.156872510910034,
1091
+ "learning_rate": 2.7244444444444445e-06,
1092
+ "loss": 0.1311,
1093
+ "step": 3775
1094
+ },
1095
+ {
1096
+ "epoch": 0.76,
1097
+ "grad_norm": 1.609500765800476,
1098
+ "learning_rate": 2.6688888888888894e-06,
1099
+ "loss": 0.1392,
1100
+ "step": 3800
1101
+ },
1102
+ {
1103
+ "epoch": 0.765,
1104
+ "grad_norm": 1.677157998085022,
1105
+ "learning_rate": 2.6133333333333334e-06,
1106
+ "loss": 0.1383,
1107
+ "step": 3825
1108
+ },
1109
+ {
1110
+ "epoch": 0.77,
1111
+ "grad_norm": 1.6813416481018066,
1112
+ "learning_rate": 2.557777777777778e-06,
1113
+ "loss": 0.1359,
1114
+ "step": 3850
1115
+ },
1116
+ {
1117
+ "epoch": 0.775,
1118
+ "grad_norm": 2.159526824951172,
1119
+ "learning_rate": 2.5022222222222224e-06,
1120
+ "loss": 0.1295,
1121
+ "step": 3875
1122
+ },
1123
+ {
1124
+ "epoch": 0.78,
1125
+ "grad_norm": 1.3956880569458008,
1126
+ "learning_rate": 2.446666666666667e-06,
1127
+ "loss": 0.127,
1128
+ "step": 3900
1129
+ },
1130
+ {
1131
+ "epoch": 0.785,
1132
+ "grad_norm": 1.8989673852920532,
1133
+ "learning_rate": 2.3911111111111113e-06,
1134
+ "loss": 0.1273,
1135
+ "step": 3925
1136
+ },
1137
+ {
1138
+ "epoch": 0.79,
1139
+ "grad_norm": 1.9193179607391357,
1140
+ "learning_rate": 2.3355555555555557e-06,
1141
+ "loss": 0.1647,
1142
+ "step": 3950
1143
+ },
1144
+ {
1145
+ "epoch": 0.795,
1146
+ "grad_norm": 1.7393921613693237,
1147
+ "learning_rate": 2.28e-06,
1148
+ "loss": 0.1726,
1149
+ "step": 3975
1150
+ },
1151
+ {
1152
+ "epoch": 0.8,
1153
+ "grad_norm": 1.9714525938034058,
1154
+ "learning_rate": 2.2244444444444447e-06,
1155
+ "loss": 0.1538,
1156
+ "step": 4000
1157
+ },
1158
+ {
1159
+ "epoch": 0.8,
1160
+ "eval_loss": 0.19509215652942657,
1161
+ "eval_runtime": 768.8189,
1162
+ "eval_samples_per_second": 19.712,
1163
+ "eval_steps_per_second": 2.465,
1164
+ "eval_wer": 11.118662857067445,
1165
+ "step": 4000
1166
+ },
1167
+ {
1168
+ "epoch": 0.805,
1169
+ "grad_norm": 1.8712801933288574,
1170
+ "learning_rate": 2.168888888888889e-06,
1171
+ "loss": 0.1365,
1172
+ "step": 4025
1173
+ },
1174
+ {
1175
+ "epoch": 0.81,
1176
+ "grad_norm": 1.3689473867416382,
1177
+ "learning_rate": 2.1133333333333336e-06,
1178
+ "loss": 0.121,
1179
+ "step": 4050
1180
+ },
1181
+ {
1182
+ "epoch": 0.815,
1183
+ "grad_norm": 2.0017051696777344,
1184
+ "learning_rate": 2.057777777777778e-06,
1185
+ "loss": 0.1405,
1186
+ "step": 4075
1187
+ },
1188
+ {
1189
+ "epoch": 0.82,
1190
+ "grad_norm": 2.032273292541504,
1191
+ "learning_rate": 2.0022222222222225e-06,
1192
+ "loss": 0.1652,
1193
+ "step": 4100
1194
+ },
1195
+ {
1196
+ "epoch": 0.825,
1197
+ "grad_norm": 2.2192623615264893,
1198
+ "learning_rate": 1.9466666666666665e-06,
1199
+ "loss": 0.1721,
1200
+ "step": 4125
1201
+ },
1202
+ {
1203
+ "epoch": 0.83,
1204
+ "grad_norm": 2.077394723892212,
1205
+ "learning_rate": 1.8911111111111114e-06,
1206
+ "loss": 0.1687,
1207
+ "step": 4150
1208
+ },
1209
+ {
1210
+ "epoch": 0.835,
1211
+ "grad_norm": 1.6695953607559204,
1212
+ "learning_rate": 1.8355555555555557e-06,
1213
+ "loss": 0.1539,
1214
+ "step": 4175
1215
+ },
1216
+ {
1217
+ "epoch": 0.84,
1218
+ "grad_norm": 1.6516363620758057,
1219
+ "learning_rate": 1.7800000000000001e-06,
1220
+ "loss": 0.1506,
1221
+ "step": 4200
1222
+ },
1223
+ {
1224
+ "epoch": 0.845,
1225
+ "grad_norm": 1.743139386177063,
1226
+ "learning_rate": 1.7244444444444448e-06,
1227
+ "loss": 0.1628,
1228
+ "step": 4225
1229
+ },
1230
+ {
1231
+ "epoch": 0.85,
1232
+ "grad_norm": 1.993188500404358,
1233
+ "learning_rate": 1.668888888888889e-06,
1234
+ "loss": 0.1706,
1235
+ "step": 4250
1236
+ },
1237
+ {
1238
+ "epoch": 0.855,
1239
+ "grad_norm": 1.659005045890808,
1240
+ "learning_rate": 1.6133333333333335e-06,
1241
+ "loss": 0.1684,
1242
+ "step": 4275
1243
+ },
1244
+ {
1245
+ "epoch": 0.86,
1246
+ "grad_norm": 2.1015443801879883,
1247
+ "learning_rate": 1.5577777777777777e-06,
1248
+ "loss": 0.165,
1249
+ "step": 4300
1250
+ },
1251
+ {
1252
+ "epoch": 0.865,
1253
+ "grad_norm": 1.6033889055252075,
1254
+ "learning_rate": 1.5022222222222224e-06,
1255
+ "loss": 0.1458,
1256
+ "step": 4325
1257
+ },
1258
+ {
1259
+ "epoch": 0.87,
1260
+ "grad_norm": 1.5493004322052002,
1261
+ "learning_rate": 1.4466666666666669e-06,
1262
+ "loss": 0.1456,
1263
+ "step": 4350
1264
+ },
1265
+ {
1266
+ "epoch": 0.875,
1267
+ "grad_norm": 1.7360889911651611,
1268
+ "learning_rate": 1.3911111111111111e-06,
1269
+ "loss": 0.1351,
1270
+ "step": 4375
1271
+ },
1272
+ {
1273
+ "epoch": 0.88,
1274
+ "grad_norm": 1.69246244430542,
1275
+ "learning_rate": 1.3355555555555558e-06,
1276
+ "loss": 0.1433,
1277
+ "step": 4400
1278
+ },
1279
+ {
1280
+ "epoch": 0.885,
1281
+ "grad_norm": 2.408151149749756,
1282
+ "learning_rate": 1.28e-06,
1283
+ "loss": 0.1997,
1284
+ "step": 4425
1285
+ },
1286
+ {
1287
+ "epoch": 0.89,
1288
+ "grad_norm": 2.8492488861083984,
1289
+ "learning_rate": 1.2244444444444445e-06,
1290
+ "loss": 0.387,
1291
+ "step": 4450
1292
+ },
1293
+ {
1294
+ "epoch": 0.895,
1295
+ "grad_norm": 2.1923134326934814,
1296
+ "learning_rate": 1.168888888888889e-06,
1297
+ "loss": 0.3364,
1298
+ "step": 4475
1299
+ },
1300
+ {
1301
+ "epoch": 0.9,
1302
+ "grad_norm": 2.078341484069824,
1303
+ "learning_rate": 1.1133333333333334e-06,
1304
+ "loss": 0.2295,
1305
+ "step": 4500
1306
+ },
1307
+ {
1308
+ "epoch": 0.905,
1309
+ "grad_norm": 1.9317213296890259,
1310
+ "learning_rate": 1.0577777777777779e-06,
1311
+ "loss": 0.1771,
1312
+ "step": 4525
1313
+ },
1314
+ {
1315
+ "epoch": 0.91,
1316
+ "grad_norm": 1.9359657764434814,
1317
+ "learning_rate": 1.0022222222222223e-06,
1318
+ "loss": 0.1849,
1319
+ "step": 4550
1320
+ },
1321
+ {
1322
+ "epoch": 0.915,
1323
+ "grad_norm": 1.6038821935653687,
1324
+ "learning_rate": 9.466666666666667e-07,
1325
+ "loss": 0.1669,
1326
+ "step": 4575
1327
+ },
1328
+ {
1329
+ "epoch": 0.92,
1330
+ "grad_norm": 1.6796211004257202,
1331
+ "learning_rate": 8.911111111111112e-07,
1332
+ "loss": 0.1604,
1333
+ "step": 4600
1334
+ },
1335
+ {
1336
+ "epoch": 0.925,
1337
+ "grad_norm": 2.241725206375122,
1338
+ "learning_rate": 8.355555555555556e-07,
1339
+ "loss": 0.1614,
1340
+ "step": 4625
1341
+ },
1342
+ {
1343
+ "epoch": 0.93,
1344
+ "grad_norm": 1.6054015159606934,
1345
+ "learning_rate": 7.8e-07,
1346
+ "loss": 0.1528,
1347
+ "step": 4650
1348
+ },
1349
+ {
1350
+ "epoch": 0.935,
1351
+ "grad_norm": 1.6806738376617432,
1352
+ "learning_rate": 7.244444444444446e-07,
1353
+ "loss": 0.1255,
1354
+ "step": 4675
1355
+ },
1356
+ {
1357
+ "epoch": 0.94,
1358
+ "grad_norm": 1.7540109157562256,
1359
+ "learning_rate": 6.68888888888889e-07,
1360
+ "loss": 0.1163,
1361
+ "step": 4700
1362
+ },
1363
+ {
1364
+ "epoch": 0.945,
1365
+ "grad_norm": 1.2936944961547852,
1366
+ "learning_rate": 6.133333333333333e-07,
1367
+ "loss": 0.1199,
1368
+ "step": 4725
1369
+ },
1370
+ {
1371
+ "epoch": 0.95,
1372
+ "grad_norm": 1.535158634185791,
1373
+ "learning_rate": 5.577777777777779e-07,
1374
+ "loss": 0.1166,
1375
+ "step": 4750
1376
+ },
1377
+ {
1378
+ "epoch": 0.955,
1379
+ "grad_norm": 1.7007349729537964,
1380
+ "learning_rate": 5.022222222222222e-07,
1381
+ "loss": 0.1122,
1382
+ "step": 4775
1383
+ },
1384
+ {
1385
+ "epoch": 0.96,
1386
+ "grad_norm": 1.4036020040512085,
1387
+ "learning_rate": 4.466666666666667e-07,
1388
+ "loss": 0.1155,
1389
+ "step": 4800
1390
+ },
1391
+ {
1392
+ "epoch": 0.965,
1393
+ "grad_norm": 1.7395439147949219,
1394
+ "learning_rate": 3.9111111111111115e-07,
1395
+ "loss": 0.1244,
1396
+ "step": 4825
1397
+ },
1398
+ {
1399
+ "epoch": 0.97,
1400
+ "grad_norm": 1.4144448041915894,
1401
+ "learning_rate": 3.3555555555555556e-07,
1402
+ "loss": 0.122,
1403
+ "step": 4850
1404
+ },
1405
+ {
1406
+ "epoch": 0.975,
1407
+ "grad_norm": 1.5096015930175781,
1408
+ "learning_rate": 2.8e-07,
1409
+ "loss": 0.1314,
1410
+ "step": 4875
1411
+ },
1412
+ {
1413
+ "epoch": 0.98,
1414
+ "grad_norm": 1.5810081958770752,
1415
+ "learning_rate": 2.2444444444444445e-07,
1416
+ "loss": 0.1249,
1417
+ "step": 4900
1418
+ },
1419
+ {
1420
+ "epoch": 0.985,
1421
+ "grad_norm": 1.706178903579712,
1422
+ "learning_rate": 1.6888888888888888e-07,
1423
+ "loss": 0.1295,
1424
+ "step": 4925
1425
+ },
1426
+ {
1427
+ "epoch": 0.99,
1428
+ "grad_norm": 1.7708213329315186,
1429
+ "learning_rate": 1.1333333333333336e-07,
1430
+ "loss": 0.1282,
1431
+ "step": 4950
1432
+ },
1433
+ {
1434
+ "epoch": 0.995,
1435
+ "grad_norm": 1.7594830989837646,
1436
+ "learning_rate": 5.777777777777778e-08,
1437
+ "loss": 0.1366,
1438
+ "step": 4975
1439
+ },
1440
+ {
1441
+ "epoch": 1.0,
1442
+ "grad_norm": 2.096646308898926,
1443
+ "learning_rate": 2.2222222222222225e-09,
1444
+ "loss": 0.1286,
1445
+ "step": 5000
1446
+ },
1447
+ {
1448
+ "epoch": 1.0,
1449
+ "eval_loss": 0.19087658822536469,
1450
+ "eval_runtime": 819.4158,
1451
+ "eval_samples_per_second": 18.495,
1452
+ "eval_steps_per_second": 2.313,
1453
+ "eval_wer": 10.587474512857398,
1454
+ "step": 5000
1455
+ },
1456
+ {
1457
+ "epoch": 1.0,
1458
+ "step": 5000,
1459
+ "total_flos": 9.23473281024e+19,
1460
+ "train_loss": 0.1977850432395935,
1461
+ "train_runtime": 19215.1319,
1462
+ "train_samples_per_second": 16.654,
1463
+ "train_steps_per_second": 0.26
1464
+ }
1465
+ ],
1466
+ "logging_steps": 25,
1467
+ "max_steps": 5000,
1468
+ "num_input_tokens_seen": 0,
1469
+ "num_train_epochs": 9223372036854775807,
1470
+ "save_steps": 1000,
1471
+ "stateful_callbacks": {
1472
+ "TrainerControl": {
1473
+ "args": {
1474
+ "should_epoch_stop": false,
1475
+ "should_evaluate": false,
1476
+ "should_log": false,
1477
+ "should_save": true,
1478
+ "should_training_stop": true
1479
+ },
1480
+ "attributes": {}
1481
+ }
1482
+ },
1483
+ "total_flos": 9.23473281024e+19,
1484
+ "train_batch_size": 64,
1485
+ "trial_name": null,
1486
+ "trial_params": null
1487
+ }