patrickvonplaten commited on
Commit
413c384
1 Parent(s): 787af9c

End of training

Browse files
all_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "eval_loss": 0.7013729810714722,
4
+ "eval_runtime": 56.1238,
5
+ "eval_samples": 1680,
6
+ "eval_samples_per_second": 29.934,
7
+ "eval_steps_per_second": 29.934,
8
+ "eval_wer": 0.5373854317414375,
9
+ "train_loss": 1.51724585755118,
10
+ "train_runtime": 4772.7285,
11
+ "train_samples": 4620,
12
+ "train_samples_per_second": 19.36,
13
+ "train_steps_per_second": 0.608
14
+ }
emissions.csv ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
2
+ 2021-10-22T17:49:00,d28de716-a4d5-410a-af2a-79e8b91b8b00,codecarbon,4769.868525981903,0.011822957692995862,0.056172492537260664,United States,USA,new york,N,,
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "eval_loss": 0.7013729810714722,
4
+ "eval_runtime": 56.1238,
5
+ "eval_samples": 1680,
6
+ "eval_samples_per_second": 29.934,
7
+ "eval_steps_per_second": 29.934,
8
+ "eval_wer": 0.5373854317414375
9
+ }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:de6224368211b05505856eddd28ac8c4e0944c6d7c1eeffdd6041ebe65ac8a05
3
  size 377674476
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c89603a6c6b04f5c85f3d409c8a35d7ed63013a9a0cffb989c3e060f474cc0f8
3
  size 377674476
runs/Oct22_16-27-57_brutasse/events.out.tfevents.1634920164.brutasse.16133.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e0aa264359952ec115fd94cbae18d82b35d934a078bb172cc6f38296e64cc1e4
3
- size 57078
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a2ae18e328242693a2944f8f79584cdf50ad00393c7c5ee20ed52f9563d0499b
3
+ size 59320
runs/Oct22_16-27-57_brutasse/events.out.tfevents.1634925002.brutasse.16133.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:afe68f2498b9590566381aff928004d4aa7fdfea2e3de3fe70efce72434f3b39
3
+ size 358
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 20.0,
3
+ "train_loss": 1.51724585755118,
4
+ "train_runtime": 4772.7285,
5
+ "train_samples": 4620,
6
+ "train_samples_per_second": 19.36,
7
+ "train_steps_per_second": 0.608
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,2026 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 20.0,
5
+ "global_step": 2900,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.07,
12
+ "learning_rate": 2.4000000000000003e-07,
13
+ "loss": 9.5954,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.14,
18
+ "learning_rate": 5.4e-07,
19
+ "loss": 8.4532,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.21,
24
+ "learning_rate": 8.4e-07,
25
+ "loss": 8.0035,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.28,
30
+ "learning_rate": 1.11e-06,
31
+ "loss": 8.8373,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.34,
36
+ "learning_rate": 1.41e-06,
37
+ "loss": 8.4238,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.41,
42
+ "learning_rate": 1.7100000000000001e-06,
43
+ "loss": 8.0434,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.48,
48
+ "learning_rate": 2.0100000000000002e-06,
49
+ "loss": 7.5531,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.55,
54
+ "learning_rate": 2.31e-06,
55
+ "loss": 8.6097,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.62,
60
+ "learning_rate": 2.61e-06,
61
+ "loss": 7.6526,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.69,
66
+ "learning_rate": 2.91e-06,
67
+ "loss": 6.9958,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.69,
72
+ "eval_loss": 6.717099189758301,
73
+ "eval_runtime": 55.8689,
74
+ "eval_samples_per_second": 30.07,
75
+ "eval_steps_per_second": 30.07,
76
+ "eval_wer": 1.0,
77
+ "step": 100
78
+ },
79
+ {
80
+ "epoch": 0.76,
81
+ "learning_rate": 3.21e-06,
82
+ "loss": 6.8539,
83
+ "step": 110
84
+ },
85
+ {
86
+ "epoch": 0.83,
87
+ "learning_rate": 3.5100000000000003e-06,
88
+ "loss": 5.8905,
89
+ "step": 120
90
+ },
91
+ {
92
+ "epoch": 0.9,
93
+ "learning_rate": 3.81e-06,
94
+ "loss": 4.7961,
95
+ "step": 130
96
+ },
97
+ {
98
+ "epoch": 0.97,
99
+ "learning_rate": 4.1100000000000005e-06,
100
+ "loss": 3.9155,
101
+ "step": 140
102
+ },
103
+ {
104
+ "epoch": 1.03,
105
+ "learning_rate": 4.41e-06,
106
+ "loss": 3.5858,
107
+ "step": 150
108
+ },
109
+ {
110
+ "epoch": 1.1,
111
+ "learning_rate": 4.71e-06,
112
+ "loss": 3.2806,
113
+ "step": 160
114
+ },
115
+ {
116
+ "epoch": 1.17,
117
+ "learning_rate": 5.01e-06,
118
+ "loss": 3.1627,
119
+ "step": 170
120
+ },
121
+ {
122
+ "epoch": 1.24,
123
+ "learning_rate": 5.31e-06,
124
+ "loss": 3.1167,
125
+ "step": 180
126
+ },
127
+ {
128
+ "epoch": 1.31,
129
+ "learning_rate": 5.6100000000000005e-06,
130
+ "loss": 3.0981,
131
+ "step": 190
132
+ },
133
+ {
134
+ "epoch": 1.38,
135
+ "learning_rate": 5.91e-06,
136
+ "loss": 3.0453,
137
+ "step": 200
138
+ },
139
+ {
140
+ "epoch": 1.38,
141
+ "eval_loss": 3.037445545196533,
142
+ "eval_runtime": 55.8686,
143
+ "eval_samples_per_second": 30.071,
144
+ "eval_steps_per_second": 30.071,
145
+ "eval_wer": 1.0,
146
+ "step": 200
147
+ },
148
+ {
149
+ "epoch": 1.45,
150
+ "learning_rate": 6.21e-06,
151
+ "loss": 3.0244,
152
+ "step": 210
153
+ },
154
+ {
155
+ "epoch": 1.52,
156
+ "learning_rate": 6.51e-06,
157
+ "loss": 3.0413,
158
+ "step": 220
159
+ },
160
+ {
161
+ "epoch": 1.59,
162
+ "learning_rate": 6.81e-06,
163
+ "loss": 3.0155,
164
+ "step": 230
165
+ },
166
+ {
167
+ "epoch": 1.66,
168
+ "learning_rate": 7.11e-06,
169
+ "loss": 2.9987,
170
+ "step": 240
171
+ },
172
+ {
173
+ "epoch": 1.72,
174
+ "learning_rate": 7.41e-06,
175
+ "loss": 2.9953,
176
+ "step": 250
177
+ },
178
+ {
179
+ "epoch": 1.79,
180
+ "learning_rate": 7.71e-06,
181
+ "loss": 3.0347,
182
+ "step": 260
183
+ },
184
+ {
185
+ "epoch": 1.86,
186
+ "learning_rate": 8.010000000000001e-06,
187
+ "loss": 2.9781,
188
+ "step": 270
189
+ },
190
+ {
191
+ "epoch": 1.93,
192
+ "learning_rate": 8.310000000000002e-06,
193
+ "loss": 2.9874,
194
+ "step": 280
195
+ },
196
+ {
197
+ "epoch": 2.0,
198
+ "learning_rate": 8.609999999999999e-06,
199
+ "loss": 3.0158,
200
+ "step": 290
201
+ },
202
+ {
203
+ "epoch": 2.07,
204
+ "learning_rate": 8.91e-06,
205
+ "loss": 2.9989,
206
+ "step": 300
207
+ },
208
+ {
209
+ "epoch": 2.07,
210
+ "eval_loss": 2.9806668758392334,
211
+ "eval_runtime": 55.9321,
212
+ "eval_samples_per_second": 30.036,
213
+ "eval_steps_per_second": 30.036,
214
+ "eval_wer": 1.0,
215
+ "step": 300
216
+ },
217
+ {
218
+ "epoch": 2.14,
219
+ "learning_rate": 9.21e-06,
220
+ "loss": 2.961,
221
+ "step": 310
222
+ },
223
+ {
224
+ "epoch": 2.21,
225
+ "learning_rate": 9.51e-06,
226
+ "loss": 2.966,
227
+ "step": 320
228
+ },
229
+ {
230
+ "epoch": 2.28,
231
+ "learning_rate": 9.810000000000001e-06,
232
+ "loss": 2.9862,
233
+ "step": 330
234
+ },
235
+ {
236
+ "epoch": 2.34,
237
+ "learning_rate": 1.0110000000000001e-05,
238
+ "loss": 2.9594,
239
+ "step": 340
240
+ },
241
+ {
242
+ "epoch": 2.41,
243
+ "learning_rate": 1.041e-05,
244
+ "loss": 2.9571,
245
+ "step": 350
246
+ },
247
+ {
248
+ "epoch": 2.48,
249
+ "learning_rate": 1.0709999999999999e-05,
250
+ "loss": 2.9593,
251
+ "step": 360
252
+ },
253
+ {
254
+ "epoch": 2.55,
255
+ "learning_rate": 1.101e-05,
256
+ "loss": 2.9717,
257
+ "step": 370
258
+ },
259
+ {
260
+ "epoch": 2.62,
261
+ "learning_rate": 1.131e-05,
262
+ "loss": 2.9464,
263
+ "step": 380
264
+ },
265
+ {
266
+ "epoch": 2.69,
267
+ "learning_rate": 1.161e-05,
268
+ "loss": 2.9459,
269
+ "step": 390
270
+ },
271
+ {
272
+ "epoch": 2.76,
273
+ "learning_rate": 1.1910000000000001e-05,
274
+ "loss": 2.969,
275
+ "step": 400
276
+ },
277
+ {
278
+ "epoch": 2.76,
279
+ "eval_loss": 2.957939863204956,
280
+ "eval_runtime": 55.8923,
281
+ "eval_samples_per_second": 30.058,
282
+ "eval_steps_per_second": 30.058,
283
+ "eval_wer": 1.0,
284
+ "step": 400
285
+ },
286
+ {
287
+ "epoch": 2.83,
288
+ "learning_rate": 1.221e-05,
289
+ "loss": 2.9376,
290
+ "step": 410
291
+ },
292
+ {
293
+ "epoch": 2.9,
294
+ "learning_rate": 1.251e-05,
295
+ "loss": 2.9216,
296
+ "step": 420
297
+ },
298
+ {
299
+ "epoch": 2.97,
300
+ "learning_rate": 1.281e-05,
301
+ "loss": 2.9236,
302
+ "step": 430
303
+ },
304
+ {
305
+ "epoch": 3.03,
306
+ "learning_rate": 1.311e-05,
307
+ "loss": 2.9544,
308
+ "step": 440
309
+ },
310
+ {
311
+ "epoch": 3.1,
312
+ "learning_rate": 1.341e-05,
313
+ "loss": 2.9085,
314
+ "step": 450
315
+ },
316
+ {
317
+ "epoch": 3.17,
318
+ "learning_rate": 1.3710000000000001e-05,
319
+ "loss": 2.9052,
320
+ "step": 460
321
+ },
322
+ {
323
+ "epoch": 3.24,
324
+ "learning_rate": 1.4010000000000001e-05,
325
+ "loss": 2.9162,
326
+ "step": 470
327
+ },
328
+ {
329
+ "epoch": 3.31,
330
+ "learning_rate": 1.431e-05,
331
+ "loss": 2.9261,
332
+ "step": 480
333
+ },
334
+ {
335
+ "epoch": 3.38,
336
+ "learning_rate": 1.461e-05,
337
+ "loss": 2.8997,
338
+ "step": 490
339
+ },
340
+ {
341
+ "epoch": 3.45,
342
+ "learning_rate": 1.491e-05,
343
+ "loss": 2.903,
344
+ "step": 500
345
+ },
346
+ {
347
+ "epoch": 3.45,
348
+ "eval_loss": 2.907166004180908,
349
+ "eval_runtime": 56.2579,
350
+ "eval_samples_per_second": 29.862,
351
+ "eval_steps_per_second": 29.862,
352
+ "eval_wer": 1.0,
353
+ "step": 500
354
+ },
355
+ {
356
+ "epoch": 3.52,
357
+ "learning_rate": 1.521e-05,
358
+ "loss": 2.9234,
359
+ "step": 510
360
+ },
361
+ {
362
+ "epoch": 3.59,
363
+ "learning_rate": 1.5510000000000002e-05,
364
+ "loss": 2.8869,
365
+ "step": 520
366
+ },
367
+ {
368
+ "epoch": 3.66,
369
+ "learning_rate": 1.5810000000000003e-05,
370
+ "loss": 2.8841,
371
+ "step": 530
372
+ },
373
+ {
374
+ "epoch": 3.72,
375
+ "learning_rate": 1.611e-05,
376
+ "loss": 2.9118,
377
+ "step": 540
378
+ },
379
+ {
380
+ "epoch": 3.79,
381
+ "learning_rate": 1.641e-05,
382
+ "loss": 2.9236,
383
+ "step": 550
384
+ },
385
+ {
386
+ "epoch": 3.86,
387
+ "learning_rate": 1.671e-05,
388
+ "loss": 2.8824,
389
+ "step": 560
390
+ },
391
+ {
392
+ "epoch": 3.93,
393
+ "learning_rate": 1.7009999999999998e-05,
394
+ "loss": 2.8745,
395
+ "step": 570
396
+ },
397
+ {
398
+ "epoch": 4.0,
399
+ "learning_rate": 1.731e-05,
400
+ "loss": 2.9052,
401
+ "step": 580
402
+ },
403
+ {
404
+ "epoch": 4.07,
405
+ "learning_rate": 1.761e-05,
406
+ "loss": 2.8945,
407
+ "step": 590
408
+ },
409
+ {
410
+ "epoch": 4.14,
411
+ "learning_rate": 1.791e-05,
412
+ "loss": 2.8565,
413
+ "step": 600
414
+ },
415
+ {
416
+ "epoch": 4.14,
417
+ "eval_loss": 2.8804337978363037,
418
+ "eval_runtime": 56.0547,
419
+ "eval_samples_per_second": 29.971,
420
+ "eval_steps_per_second": 29.971,
421
+ "eval_wer": 1.0,
422
+ "step": 600
423
+ },
424
+ {
425
+ "epoch": 4.21,
426
+ "learning_rate": 1.821e-05,
427
+ "loss": 2.8649,
428
+ "step": 610
429
+ },
430
+ {
431
+ "epoch": 4.28,
432
+ "learning_rate": 1.851e-05,
433
+ "loss": 2.8968,
434
+ "step": 620
435
+ },
436
+ {
437
+ "epoch": 4.34,
438
+ "learning_rate": 1.881e-05,
439
+ "loss": 2.8642,
440
+ "step": 630
441
+ },
442
+ {
443
+ "epoch": 4.41,
444
+ "learning_rate": 1.911e-05,
445
+ "loss": 2.8483,
446
+ "step": 640
447
+ },
448
+ {
449
+ "epoch": 4.48,
450
+ "learning_rate": 1.9410000000000002e-05,
451
+ "loss": 2.8636,
452
+ "step": 650
453
+ },
454
+ {
455
+ "epoch": 4.55,
456
+ "learning_rate": 1.9710000000000003e-05,
457
+ "loss": 2.8843,
458
+ "step": 660
459
+ },
460
+ {
461
+ "epoch": 4.62,
462
+ "learning_rate": 2.0010000000000003e-05,
463
+ "loss": 2.8345,
464
+ "step": 670
465
+ },
466
+ {
467
+ "epoch": 4.69,
468
+ "learning_rate": 2.031e-05,
469
+ "loss": 2.8296,
470
+ "step": 680
471
+ },
472
+ {
473
+ "epoch": 4.76,
474
+ "learning_rate": 2.061e-05,
475
+ "loss": 2.8429,
476
+ "step": 690
477
+ },
478
+ {
479
+ "epoch": 4.83,
480
+ "learning_rate": 2.0909999999999998e-05,
481
+ "loss": 2.8195,
482
+ "step": 700
483
+ },
484
+ {
485
+ "epoch": 4.83,
486
+ "eval_loss": 2.7915687561035156,
487
+ "eval_runtime": 56.0017,
488
+ "eval_samples_per_second": 29.999,
489
+ "eval_steps_per_second": 29.999,
490
+ "eval_wer": 1.0,
491
+ "step": 700
492
+ },
493
+ {
494
+ "epoch": 4.9,
495
+ "learning_rate": 2.121e-05,
496
+ "loss": 2.7545,
497
+ "step": 710
498
+ },
499
+ {
500
+ "epoch": 4.97,
501
+ "learning_rate": 2.151e-05,
502
+ "loss": 2.7348,
503
+ "step": 720
504
+ },
505
+ {
506
+ "epoch": 5.03,
507
+ "learning_rate": 2.181e-05,
508
+ "loss": 2.7843,
509
+ "step": 730
510
+ },
511
+ {
512
+ "epoch": 5.1,
513
+ "learning_rate": 2.211e-05,
514
+ "loss": 2.6651,
515
+ "step": 740
516
+ },
517
+ {
518
+ "epoch": 5.17,
519
+ "learning_rate": 2.241e-05,
520
+ "loss": 2.5925,
521
+ "step": 750
522
+ },
523
+ {
524
+ "epoch": 5.24,
525
+ "learning_rate": 2.271e-05,
526
+ "loss": 2.5786,
527
+ "step": 760
528
+ },
529
+ {
530
+ "epoch": 5.31,
531
+ "learning_rate": 2.301e-05,
532
+ "loss": 2.533,
533
+ "step": 770
534
+ },
535
+ {
536
+ "epoch": 5.38,
537
+ "learning_rate": 2.3310000000000002e-05,
538
+ "loss": 2.3808,
539
+ "step": 780
540
+ },
541
+ {
542
+ "epoch": 5.45,
543
+ "learning_rate": 2.3610000000000003e-05,
544
+ "loss": 2.3189,
545
+ "step": 790
546
+ },
547
+ {
548
+ "epoch": 5.52,
549
+ "learning_rate": 2.3910000000000003e-05,
550
+ "loss": 2.3134,
551
+ "step": 800
552
+ },
553
+ {
554
+ "epoch": 5.52,
555
+ "eval_loss": 2.1455929279327393,
556
+ "eval_runtime": 56.2645,
557
+ "eval_samples_per_second": 29.859,
558
+ "eval_steps_per_second": 29.859,
559
+ "eval_wer": 1.0004134794293984,
560
+ "step": 800
561
+ },
562
+ {
563
+ "epoch": 5.59,
564
+ "learning_rate": 2.4210000000000004e-05,
565
+ "loss": 2.1507,
566
+ "step": 810
567
+ },
568
+ {
569
+ "epoch": 5.66,
570
+ "learning_rate": 2.4509999999999997e-05,
571
+ "loss": 2.0229,
572
+ "step": 820
573
+ },
574
+ {
575
+ "epoch": 5.72,
576
+ "learning_rate": 2.4809999999999998e-05,
577
+ "loss": 2.0275,
578
+ "step": 830
579
+ },
580
+ {
581
+ "epoch": 5.79,
582
+ "learning_rate": 2.511e-05,
583
+ "loss": 2.039,
584
+ "step": 840
585
+ },
586
+ {
587
+ "epoch": 5.86,
588
+ "learning_rate": 2.541e-05,
589
+ "loss": 1.7749,
590
+ "step": 850
591
+ },
592
+ {
593
+ "epoch": 5.93,
594
+ "learning_rate": 2.571e-05,
595
+ "loss": 1.7627,
596
+ "step": 860
597
+ },
598
+ {
599
+ "epoch": 6.0,
600
+ "learning_rate": 2.601e-05,
601
+ "loss": 1.8399,
602
+ "step": 870
603
+ },
604
+ {
605
+ "epoch": 6.07,
606
+ "learning_rate": 2.631e-05,
607
+ "loss": 1.7037,
608
+ "step": 880
609
+ },
610
+ {
611
+ "epoch": 6.14,
612
+ "learning_rate": 2.661e-05,
613
+ "loss": 1.5494,
614
+ "step": 890
615
+ },
616
+ {
617
+ "epoch": 6.21,
618
+ "learning_rate": 2.691e-05,
619
+ "loss": 1.5475,
620
+ "step": 900
621
+ },
622
+ {
623
+ "epoch": 6.21,
624
+ "eval_loss": 1.46632719039917,
625
+ "eval_runtime": 56.3055,
626
+ "eval_samples_per_second": 29.837,
627
+ "eval_steps_per_second": 29.837,
628
+ "eval_wer": 0.9549307421955757,
629
+ "step": 900
630
+ },
631
+ {
632
+ "epoch": 6.28,
633
+ "learning_rate": 2.7210000000000002e-05,
634
+ "loss": 1.7119,
635
+ "step": 910
636
+ },
637
+ {
638
+ "epoch": 6.34,
639
+ "learning_rate": 2.7510000000000003e-05,
640
+ "loss": 1.4623,
641
+ "step": 920
642
+ },
643
+ {
644
+ "epoch": 6.41,
645
+ "learning_rate": 2.7810000000000003e-05,
646
+ "loss": 1.4332,
647
+ "step": 930
648
+ },
649
+ {
650
+ "epoch": 6.48,
651
+ "learning_rate": 2.8110000000000004e-05,
652
+ "loss": 1.4821,
653
+ "step": 940
654
+ },
655
+ {
656
+ "epoch": 6.55,
657
+ "learning_rate": 2.841e-05,
658
+ "loss": 1.4974,
659
+ "step": 950
660
+ },
661
+ {
662
+ "epoch": 6.62,
663
+ "learning_rate": 2.871e-05,
664
+ "loss": 1.2691,
665
+ "step": 960
666
+ },
667
+ {
668
+ "epoch": 6.69,
669
+ "learning_rate": 2.901e-05,
670
+ "loss": 1.2886,
671
+ "step": 970
672
+ },
673
+ {
674
+ "epoch": 6.76,
675
+ "learning_rate": 2.931e-05,
676
+ "loss": 1.4779,
677
+ "step": 980
678
+ },
679
+ {
680
+ "epoch": 6.83,
681
+ "learning_rate": 2.961e-05,
682
+ "loss": 1.2628,
683
+ "step": 990
684
+ },
685
+ {
686
+ "epoch": 6.9,
687
+ "learning_rate": 2.991e-05,
688
+ "loss": 1.1295,
689
+ "step": 1000
690
+ },
691
+ {
692
+ "epoch": 6.9,
693
+ "eval_loss": 1.1139757633209229,
694
+ "eval_runtime": 55.8538,
695
+ "eval_samples_per_second": 30.079,
696
+ "eval_steps_per_second": 30.079,
697
+ "eval_wer": 0.7226931293501482,
698
+ "step": 1000
699
+ },
700
+ {
701
+ "epoch": 6.97,
702
+ "learning_rate": 2.988947368421053e-05,
703
+ "loss": 1.219,
704
+ "step": 1010
705
+ },
706
+ {
707
+ "epoch": 7.03,
708
+ "learning_rate": 2.9731578947368423e-05,
709
+ "loss": 1.3547,
710
+ "step": 1020
711
+ },
712
+ {
713
+ "epoch": 7.1,
714
+ "learning_rate": 2.9573684210526316e-05,
715
+ "loss": 1.0705,
716
+ "step": 1030
717
+ },
718
+ {
719
+ "epoch": 7.17,
720
+ "learning_rate": 2.9415789473684213e-05,
721
+ "loss": 1.045,
722
+ "step": 1040
723
+ },
724
+ {
725
+ "epoch": 7.24,
726
+ "learning_rate": 2.9257894736842106e-05,
727
+ "loss": 1.1838,
728
+ "step": 1050
729
+ },
730
+ {
731
+ "epoch": 7.31,
732
+ "learning_rate": 2.91e-05,
733
+ "loss": 1.1164,
734
+ "step": 1060
735
+ },
736
+ {
737
+ "epoch": 7.38,
738
+ "learning_rate": 2.8942105263157896e-05,
739
+ "loss": 0.9137,
740
+ "step": 1070
741
+ },
742
+ {
743
+ "epoch": 7.45,
744
+ "learning_rate": 2.8784210526315792e-05,
745
+ "loss": 1.0233,
746
+ "step": 1080
747
+ },
748
+ {
749
+ "epoch": 7.52,
750
+ "learning_rate": 2.8626315789473686e-05,
751
+ "loss": 1.2129,
752
+ "step": 1090
753
+ },
754
+ {
755
+ "epoch": 7.59,
756
+ "learning_rate": 2.846842105263158e-05,
757
+ "loss": 1.0181,
758
+ "step": 1100
759
+ },
760
+ {
761
+ "epoch": 7.59,
762
+ "eval_loss": 0.9257634282112122,
763
+ "eval_runtime": 55.9356,
764
+ "eval_samples_per_second": 30.035,
765
+ "eval_steps_per_second": 30.035,
766
+ "eval_wer": 0.6497140100613328,
767
+ "step": 1100
768
+ },
769
+ {
770
+ "epoch": 7.66,
771
+ "learning_rate": 2.8310526315789475e-05,
772
+ "loss": 0.9005,
773
+ "step": 1110
774
+ },
775
+ {
776
+ "epoch": 7.72,
777
+ "learning_rate": 2.815263157894737e-05,
778
+ "loss": 0.9942,
779
+ "step": 1120
780
+ },
781
+ {
782
+ "epoch": 7.79,
783
+ "learning_rate": 2.7994736842105262e-05,
784
+ "loss": 1.1054,
785
+ "step": 1130
786
+ },
787
+ {
788
+ "epoch": 7.86,
789
+ "learning_rate": 2.783684210526316e-05,
790
+ "loss": 0.8651,
791
+ "step": 1140
792
+ },
793
+ {
794
+ "epoch": 7.93,
795
+ "learning_rate": 2.7678947368421055e-05,
796
+ "loss": 0.9205,
797
+ "step": 1150
798
+ },
799
+ {
800
+ "epoch": 8.0,
801
+ "learning_rate": 2.752105263157895e-05,
802
+ "loss": 1.0901,
803
+ "step": 1160
804
+ },
805
+ {
806
+ "epoch": 8.07,
807
+ "learning_rate": 2.7363157894736845e-05,
808
+ "loss": 0.9183,
809
+ "step": 1170
810
+ },
811
+ {
812
+ "epoch": 8.14,
813
+ "learning_rate": 2.7205263157894738e-05,
814
+ "loss": 0.7821,
815
+ "step": 1180
816
+ },
817
+ {
818
+ "epoch": 8.21,
819
+ "learning_rate": 2.704736842105263e-05,
820
+ "loss": 0.8509,
821
+ "step": 1190
822
+ },
823
+ {
824
+ "epoch": 8.28,
825
+ "learning_rate": 2.6889473684210525e-05,
826
+ "loss": 1.0252,
827
+ "step": 1200
828
+ },
829
+ {
830
+ "epoch": 8.28,
831
+ "eval_loss": 0.8430129885673523,
832
+ "eval_runtime": 55.9457,
833
+ "eval_samples_per_second": 30.029,
834
+ "eval_steps_per_second": 30.029,
835
+ "eval_wer": 0.625456550203294,
836
+ "step": 1200
837
+ },
838
+ {
839
+ "epoch": 8.34,
840
+ "learning_rate": 2.673157894736842e-05,
841
+ "loss": 0.77,
842
+ "step": 1210
843
+ },
844
+ {
845
+ "epoch": 8.41,
846
+ "learning_rate": 2.6573684210526318e-05,
847
+ "loss": 0.7903,
848
+ "step": 1220
849
+ },
850
+ {
851
+ "epoch": 8.48,
852
+ "learning_rate": 2.641578947368421e-05,
853
+ "loss": 0.9209,
854
+ "step": 1230
855
+ },
856
+ {
857
+ "epoch": 8.55,
858
+ "learning_rate": 2.6257894736842108e-05,
859
+ "loss": 0.9417,
860
+ "step": 1240
861
+ },
862
+ {
863
+ "epoch": 8.62,
864
+ "learning_rate": 2.61e-05,
865
+ "loss": 0.7393,
866
+ "step": 1250
867
+ },
868
+ {
869
+ "epoch": 8.69,
870
+ "learning_rate": 2.5942105263157894e-05,
871
+ "loss": 0.7823,
872
+ "step": 1260
873
+ },
874
+ {
875
+ "epoch": 8.76,
876
+ "learning_rate": 2.578421052631579e-05,
877
+ "loss": 0.988,
878
+ "step": 1270
879
+ },
880
+ {
881
+ "epoch": 8.83,
882
+ "learning_rate": 2.5626315789473684e-05,
883
+ "loss": 0.7872,
884
+ "step": 1280
885
+ },
886
+ {
887
+ "epoch": 8.9,
888
+ "learning_rate": 2.546842105263158e-05,
889
+ "loss": 0.7158,
890
+ "step": 1290
891
+ },
892
+ {
893
+ "epoch": 8.97,
894
+ "learning_rate": 2.5310526315789474e-05,
895
+ "loss": 0.835,
896
+ "step": 1300
897
+ },
898
+ {
899
+ "epoch": 8.97,
900
+ "eval_loss": 0.8063345551490784,
901
+ "eval_runtime": 56.07,
902
+ "eval_samples_per_second": 29.963,
903
+ "eval_steps_per_second": 29.963,
904
+ "eval_wer": 0.6031975742540142,
905
+ "step": 1300
906
+ },
907
+ {
908
+ "epoch": 9.03,
909
+ "learning_rate": 2.515263157894737e-05,
910
+ "loss": 0.9458,
911
+ "step": 1310
912
+ },
913
+ {
914
+ "epoch": 9.1,
915
+ "learning_rate": 2.4994736842105264e-05,
916
+ "loss": 0.6545,
917
+ "step": 1320
918
+ },
919
+ {
920
+ "epoch": 9.17,
921
+ "learning_rate": 2.4836842105263157e-05,
922
+ "loss": 0.6883,
923
+ "step": 1330
924
+ },
925
+ {
926
+ "epoch": 9.24,
927
+ "learning_rate": 2.4678947368421053e-05,
928
+ "loss": 0.8223,
929
+ "step": 1340
930
+ },
931
+ {
932
+ "epoch": 9.31,
933
+ "learning_rate": 2.452105263157895e-05,
934
+ "loss": 0.8211,
935
+ "step": 1350
936
+ },
937
+ {
938
+ "epoch": 9.38,
939
+ "learning_rate": 2.4363157894736843e-05,
940
+ "loss": 0.6561,
941
+ "step": 1360
942
+ },
943
+ {
944
+ "epoch": 9.45,
945
+ "learning_rate": 2.420526315789474e-05,
946
+ "loss": 0.7167,
947
+ "step": 1370
948
+ },
949
+ {
950
+ "epoch": 9.52,
951
+ "learning_rate": 2.4047368421052633e-05,
952
+ "loss": 0.8687,
953
+ "step": 1380
954
+ },
955
+ {
956
+ "epoch": 9.59,
957
+ "learning_rate": 2.3889473684210526e-05,
958
+ "loss": 0.6825,
959
+ "step": 1390
960
+ },
961
+ {
962
+ "epoch": 9.66,
963
+ "learning_rate": 2.373157894736842e-05,
964
+ "loss": 0.662,
965
+ "step": 1400
966
+ },
967
+ {
968
+ "epoch": 9.66,
969
+ "eval_loss": 0.7595294713973999,
970
+ "eval_runtime": 56.1578,
971
+ "eval_samples_per_second": 29.916,
972
+ "eval_steps_per_second": 29.916,
973
+ "eval_wer": 0.5931362414719867,
974
+ "step": 1400
975
+ },
976
+ {
977
+ "epoch": 9.72,
978
+ "learning_rate": 2.3573684210526316e-05,
979
+ "loss": 0.7777,
980
+ "step": 1410
981
+ },
982
+ {
983
+ "epoch": 9.79,
984
+ "learning_rate": 2.3415789473684213e-05,
985
+ "loss": 0.8767,
986
+ "step": 1420
987
+ },
988
+ {
989
+ "epoch": 9.86,
990
+ "learning_rate": 2.3257894736842106e-05,
991
+ "loss": 0.6377,
992
+ "step": 1430
993
+ },
994
+ {
995
+ "epoch": 9.93,
996
+ "learning_rate": 2.3100000000000002e-05,
997
+ "loss": 0.6553,
998
+ "step": 1440
999
+ },
1000
+ {
1001
+ "epoch": 10.0,
1002
+ "learning_rate": 2.2942105263157896e-05,
1003
+ "loss": 0.8173,
1004
+ "step": 1450
1005
+ },
1006
+ {
1007
+ "epoch": 10.07,
1008
+ "learning_rate": 2.278421052631579e-05,
1009
+ "loss": 0.6973,
1010
+ "step": 1460
1011
+ },
1012
+ {
1013
+ "epoch": 10.14,
1014
+ "learning_rate": 2.2626315789473685e-05,
1015
+ "loss": 0.5723,
1016
+ "step": 1470
1017
+ },
1018
+ {
1019
+ "epoch": 10.21,
1020
+ "learning_rate": 2.246842105263158e-05,
1021
+ "loss": 0.6482,
1022
+ "step": 1480
1023
+ },
1024
+ {
1025
+ "epoch": 10.28,
1026
+ "learning_rate": 2.2310526315789475e-05,
1027
+ "loss": 0.852,
1028
+ "step": 1490
1029
+ },
1030
+ {
1031
+ "epoch": 10.34,
1032
+ "learning_rate": 2.215263157894737e-05,
1033
+ "loss": 0.5558,
1034
+ "step": 1500
1035
+ },
1036
+ {
1037
+ "epoch": 10.34,
1038
+ "eval_loss": 0.7321563959121704,
1039
+ "eval_runtime": 56.2309,
1040
+ "eval_samples_per_second": 29.877,
1041
+ "eval_steps_per_second": 29.877,
1042
+ "eval_wer": 0.5819033836399973,
1043
+ "step": 1500
1044
+ },
1045
+ {
1046
+ "epoch": 10.41,
1047
+ "learning_rate": 2.1994736842105265e-05,
1048
+ "loss": 0.5892,
1049
+ "step": 1510
1050
+ },
1051
+ {
1052
+ "epoch": 10.48,
1053
+ "learning_rate": 2.183684210526316e-05,
1054
+ "loss": 0.7143,
1055
+ "step": 1520
1056
+ },
1057
+ {
1058
+ "epoch": 10.55,
1059
+ "learning_rate": 2.167894736842105e-05,
1060
+ "loss": 0.7776,
1061
+ "step": 1530
1062
+ },
1063
+ {
1064
+ "epoch": 10.62,
1065
+ "learning_rate": 2.1521052631578948e-05,
1066
+ "loss": 0.5764,
1067
+ "step": 1540
1068
+ },
1069
+ {
1070
+ "epoch": 10.69,
1071
+ "learning_rate": 2.136315789473684e-05,
1072
+ "loss": 0.6483,
1073
+ "step": 1550
1074
+ },
1075
+ {
1076
+ "epoch": 10.76,
1077
+ "learning_rate": 2.1205263157894738e-05,
1078
+ "loss": 0.7903,
1079
+ "step": 1560
1080
+ },
1081
+ {
1082
+ "epoch": 10.83,
1083
+ "learning_rate": 2.1047368421052635e-05,
1084
+ "loss": 0.6301,
1085
+ "step": 1570
1086
+ },
1087
+ {
1088
+ "epoch": 10.9,
1089
+ "learning_rate": 2.0889473684210528e-05,
1090
+ "loss": 0.5636,
1091
+ "step": 1580
1092
+ },
1093
+ {
1094
+ "epoch": 10.97,
1095
+ "learning_rate": 2.073157894736842e-05,
1096
+ "loss": 0.6343,
1097
+ "step": 1590
1098
+ },
1099
+ {
1100
+ "epoch": 11.03,
1101
+ "learning_rate": 2.0573684210526314e-05,
1102
+ "loss": 0.7596,
1103
+ "step": 1600
1104
+ },
1105
+ {
1106
+ "epoch": 11.03,
1107
+ "eval_loss": 0.7120490670204163,
1108
+ "eval_runtime": 56.1181,
1109
+ "eval_samples_per_second": 29.937,
1110
+ "eval_steps_per_second": 29.937,
1111
+ "eval_wer": 0.5708083522844738,
1112
+ "step": 1600
1113
+ },
1114
+ {
1115
+ "epoch": 11.1,
1116
+ "learning_rate": 2.041578947368421e-05,
1117
+ "loss": 0.5381,
1118
+ "step": 1610
1119
+ },
1120
+ {
1121
+ "epoch": 11.17,
1122
+ "learning_rate": 2.0257894736842104e-05,
1123
+ "loss": 0.5223,
1124
+ "step": 1620
1125
+ },
1126
+ {
1127
+ "epoch": 11.24,
1128
+ "learning_rate": 2.01e-05,
1129
+ "loss": 0.686,
1130
+ "step": 1630
1131
+ },
1132
+ {
1133
+ "epoch": 11.31,
1134
+ "learning_rate": 1.9942105263157897e-05,
1135
+ "loss": 0.6802,
1136
+ "step": 1640
1137
+ },
1138
+ {
1139
+ "epoch": 11.38,
1140
+ "learning_rate": 1.978421052631579e-05,
1141
+ "loss": 0.5173,
1142
+ "step": 1650
1143
+ },
1144
+ {
1145
+ "epoch": 11.45,
1146
+ "learning_rate": 1.9626315789473684e-05,
1147
+ "loss": 0.5713,
1148
+ "step": 1660
1149
+ },
1150
+ {
1151
+ "epoch": 11.52,
1152
+ "learning_rate": 1.946842105263158e-05,
1153
+ "loss": 0.753,
1154
+ "step": 1670
1155
+ },
1156
+ {
1157
+ "epoch": 11.59,
1158
+ "learning_rate": 1.9310526315789474e-05,
1159
+ "loss": 0.5405,
1160
+ "step": 1680
1161
+ },
1162
+ {
1163
+ "epoch": 11.66,
1164
+ "learning_rate": 1.915263157894737e-05,
1165
+ "loss": 0.5048,
1166
+ "step": 1690
1167
+ },
1168
+ {
1169
+ "epoch": 11.72,
1170
+ "learning_rate": 1.8994736842105263e-05,
1171
+ "loss": 0.6169,
1172
+ "step": 1700
1173
+ },
1174
+ {
1175
+ "epoch": 11.72,
1176
+ "eval_loss": 0.7072769999504089,
1177
+ "eval_runtime": 55.9632,
1178
+ "eval_samples_per_second": 30.02,
1179
+ "eval_steps_per_second": 30.02,
1180
+ "eval_wer": 0.5606091930259803,
1181
+ "step": 1700
1182
+ },
1183
+ {
1184
+ "epoch": 11.79,
1185
+ "learning_rate": 1.883684210526316e-05,
1186
+ "loss": 0.7515,
1187
+ "step": 1710
1188
+ },
1189
+ {
1190
+ "epoch": 11.86,
1191
+ "learning_rate": 1.8678947368421053e-05,
1192
+ "loss": 0.4808,
1193
+ "step": 1720
1194
+ },
1195
+ {
1196
+ "epoch": 11.93,
1197
+ "learning_rate": 1.8521052631578946e-05,
1198
+ "loss": 0.5669,
1199
+ "step": 1730
1200
+ },
1201
+ {
1202
+ "epoch": 12.0,
1203
+ "learning_rate": 1.8363157894736843e-05,
1204
+ "loss": 0.726,
1205
+ "step": 1740
1206
+ },
1207
+ {
1208
+ "epoch": 12.07,
1209
+ "learning_rate": 1.8205263157894736e-05,
1210
+ "loss": 0.569,
1211
+ "step": 1750
1212
+ },
1213
+ {
1214
+ "epoch": 12.14,
1215
+ "learning_rate": 1.8047368421052633e-05,
1216
+ "loss": 0.4807,
1217
+ "step": 1760
1218
+ },
1219
+ {
1220
+ "epoch": 12.21,
1221
+ "learning_rate": 1.788947368421053e-05,
1222
+ "loss": 0.5481,
1223
+ "step": 1770
1224
+ },
1225
+ {
1226
+ "epoch": 12.28,
1227
+ "learning_rate": 1.7731578947368423e-05,
1228
+ "loss": 0.7132,
1229
+ "step": 1780
1230
+ },
1231
+ {
1232
+ "epoch": 12.34,
1233
+ "learning_rate": 1.7573684210526316e-05,
1234
+ "loss": 0.505,
1235
+ "step": 1790
1236
+ },
1237
+ {
1238
+ "epoch": 12.41,
1239
+ "learning_rate": 1.741578947368421e-05,
1240
+ "loss": 0.4565,
1241
+ "step": 1800
1242
+ },
1243
+ {
1244
+ "epoch": 12.41,
1245
+ "eval_loss": 0.712365448474884,
1246
+ "eval_runtime": 56.2962,
1247
+ "eval_samples_per_second": 29.842,
1248
+ "eval_steps_per_second": 29.842,
1249
+ "eval_wer": 0.5586107091172214,
1250
+ "step": 1800
1251
+ },
1252
+ {
1253
+ "epoch": 12.48,
1254
+ "learning_rate": 1.7257894736842106e-05,
1255
+ "loss": 0.6345,
1256
+ "step": 1810
1257
+ },
1258
+ {
1259
+ "epoch": 12.55,
1260
+ "learning_rate": 1.71e-05,
1261
+ "loss": 0.6555,
1262
+ "step": 1820
1263
+ },
1264
+ {
1265
+ "epoch": 12.62,
1266
+ "learning_rate": 1.6942105263157896e-05,
1267
+ "loss": 0.4412,
1268
+ "step": 1830
1269
+ },
1270
+ {
1271
+ "epoch": 12.69,
1272
+ "learning_rate": 1.6784210526315792e-05,
1273
+ "loss": 0.5018,
1274
+ "step": 1840
1275
+ },
1276
+ {
1277
+ "epoch": 12.76,
1278
+ "learning_rate": 1.6626315789473685e-05,
1279
+ "loss": 0.6562,
1280
+ "step": 1850
1281
+ },
1282
+ {
1283
+ "epoch": 12.83,
1284
+ "learning_rate": 1.646842105263158e-05,
1285
+ "loss": 0.5214,
1286
+ "step": 1860
1287
+ },
1288
+ {
1289
+ "epoch": 12.9,
1290
+ "learning_rate": 1.6310526315789475e-05,
1291
+ "loss": 0.4588,
1292
+ "step": 1870
1293
+ },
1294
+ {
1295
+ "epoch": 12.97,
1296
+ "learning_rate": 1.615263157894737e-05,
1297
+ "loss": 0.5569,
1298
+ "step": 1880
1299
+ },
1300
+ {
1301
+ "epoch": 13.03,
1302
+ "learning_rate": 1.599473684210526e-05,
1303
+ "loss": 0.6319,
1304
+ "step": 1890
1305
+ },
1306
+ {
1307
+ "epoch": 13.1,
1308
+ "learning_rate": 1.5836842105263158e-05,
1309
+ "loss": 0.4554,
1310
+ "step": 1900
1311
+ },
1312
+ {
1313
+ "epoch": 13.1,
1314
+ "eval_loss": 0.6879737973213196,
1315
+ "eval_runtime": 56.2465,
1316
+ "eval_samples_per_second": 29.869,
1317
+ "eval_steps_per_second": 29.869,
1318
+ "eval_wer": 0.5500654675763215,
1319
+ "step": 1900
1320
+ },
1321
+ {
1322
+ "epoch": 13.17,
1323
+ "learning_rate": 1.5678947368421055e-05,
1324
+ "loss": 0.4659,
1325
+ "step": 1910
1326
+ },
1327
+ {
1328
+ "epoch": 13.24,
1329
+ "learning_rate": 1.5521052631578948e-05,
1330
+ "loss": 0.5649,
1331
+ "step": 1920
1332
+ },
1333
+ {
1334
+ "epoch": 13.31,
1335
+ "learning_rate": 1.536315789473684e-05,
1336
+ "loss": 0.5556,
1337
+ "step": 1930
1338
+ },
1339
+ {
1340
+ "epoch": 13.38,
1341
+ "learning_rate": 1.5205263157894736e-05,
1342
+ "loss": 0.4317,
1343
+ "step": 1940
1344
+ },
1345
+ {
1346
+ "epoch": 13.45,
1347
+ "learning_rate": 1.5047368421052631e-05,
1348
+ "loss": 0.4837,
1349
+ "step": 1950
1350
+ },
1351
+ {
1352
+ "epoch": 13.52,
1353
+ "learning_rate": 1.4889473684210526e-05,
1354
+ "loss": 0.685,
1355
+ "step": 1960
1356
+ },
1357
+ {
1358
+ "epoch": 13.59,
1359
+ "learning_rate": 1.4731578947368421e-05,
1360
+ "loss": 0.4845,
1361
+ "step": 1970
1362
+ },
1363
+ {
1364
+ "epoch": 13.66,
1365
+ "learning_rate": 1.4573684210526317e-05,
1366
+ "loss": 0.4278,
1367
+ "step": 1980
1368
+ },
1369
+ {
1370
+ "epoch": 13.72,
1371
+ "learning_rate": 1.441578947368421e-05,
1372
+ "loss": 0.5824,
1373
+ "step": 1990
1374
+ },
1375
+ {
1376
+ "epoch": 13.79,
1377
+ "learning_rate": 1.4257894736842106e-05,
1378
+ "loss": 0.6216,
1379
+ "step": 2000
1380
+ },
1381
+ {
1382
+ "epoch": 13.79,
1383
+ "eval_loss": 0.6783236265182495,
1384
+ "eval_runtime": 56.2386,
1385
+ "eval_samples_per_second": 29.873,
1386
+ "eval_steps_per_second": 29.873,
1387
+ "eval_wer": 0.5494452484322239,
1388
+ "step": 2000
1389
+ },
1390
+ {
1391
+ "epoch": 13.86,
1392
+ "learning_rate": 1.4099999999999999e-05,
1393
+ "loss": 0.4211,
1394
+ "step": 2010
1395
+ },
1396
+ {
1397
+ "epoch": 13.93,
1398
+ "learning_rate": 1.3942105263157895e-05,
1399
+ "loss": 0.4556,
1400
+ "step": 2020
1401
+ },
1402
+ {
1403
+ "epoch": 14.0,
1404
+ "learning_rate": 1.378421052631579e-05,
1405
+ "loss": 0.6032,
1406
+ "step": 2030
1407
+ },
1408
+ {
1409
+ "epoch": 14.07,
1410
+ "learning_rate": 1.3626315789473684e-05,
1411
+ "loss": 0.4931,
1412
+ "step": 2040
1413
+ },
1414
+ {
1415
+ "epoch": 14.14,
1416
+ "learning_rate": 1.346842105263158e-05,
1417
+ "loss": 0.3818,
1418
+ "step": 2050
1419
+ },
1420
+ {
1421
+ "epoch": 14.21,
1422
+ "learning_rate": 1.3310526315789473e-05,
1423
+ "loss": 0.4653,
1424
+ "step": 2060
1425
+ },
1426
+ {
1427
+ "epoch": 14.28,
1428
+ "learning_rate": 1.3152631578947368e-05,
1429
+ "loss": 0.6482,
1430
+ "step": 2070
1431
+ },
1432
+ {
1433
+ "epoch": 14.34,
1434
+ "learning_rate": 1.2994736842105265e-05,
1435
+ "loss": 0.4267,
1436
+ "step": 2080
1437
+ },
1438
+ {
1439
+ "epoch": 14.41,
1440
+ "learning_rate": 1.2836842105263158e-05,
1441
+ "loss": 0.4512,
1442
+ "step": 2090
1443
+ },
1444
+ {
1445
+ "epoch": 14.48,
1446
+ "learning_rate": 1.2678947368421053e-05,
1447
+ "loss": 0.5393,
1448
+ "step": 2100
1449
+ },
1450
+ {
1451
+ "epoch": 14.48,
1452
+ "eval_loss": 0.7067343592643738,
1453
+ "eval_runtime": 55.8427,
1454
+ "eval_samples_per_second": 30.085,
1455
+ "eval_steps_per_second": 30.085,
1456
+ "eval_wer": 0.5498587278616223,
1457
+ "step": 2100
1458
+ },
1459
+ {
1460
+ "epoch": 14.55,
1461
+ "learning_rate": 1.2521052631578946e-05,
1462
+ "loss": 0.5632,
1463
+ "step": 2110
1464
+ },
1465
+ {
1466
+ "epoch": 14.62,
1467
+ "learning_rate": 1.2363157894736843e-05,
1468
+ "loss": 0.3933,
1469
+ "step": 2120
1470
+ },
1471
+ {
1472
+ "epoch": 14.69,
1473
+ "learning_rate": 1.2205263157894738e-05,
1474
+ "loss": 0.4898,
1475
+ "step": 2130
1476
+ },
1477
+ {
1478
+ "epoch": 14.76,
1479
+ "learning_rate": 1.2047368421052631e-05,
1480
+ "loss": 0.6235,
1481
+ "step": 2140
1482
+ },
1483
+ {
1484
+ "epoch": 14.83,
1485
+ "learning_rate": 1.1889473684210528e-05,
1486
+ "loss": 0.4552,
1487
+ "step": 2150
1488
+ },
1489
+ {
1490
+ "epoch": 14.9,
1491
+ "learning_rate": 1.173157894736842e-05,
1492
+ "loss": 0.3651,
1493
+ "step": 2160
1494
+ },
1495
+ {
1496
+ "epoch": 14.97,
1497
+ "learning_rate": 1.1573684210526316e-05,
1498
+ "loss": 0.4551,
1499
+ "step": 2170
1500
+ },
1501
+ {
1502
+ "epoch": 15.03,
1503
+ "learning_rate": 1.141578947368421e-05,
1504
+ "loss": 0.5899,
1505
+ "step": 2180
1506
+ },
1507
+ {
1508
+ "epoch": 15.1,
1509
+ "learning_rate": 1.1257894736842106e-05,
1510
+ "loss": 0.3866,
1511
+ "step": 2190
1512
+ },
1513
+ {
1514
+ "epoch": 15.17,
1515
+ "learning_rate": 1.11e-05,
1516
+ "loss": 0.4095,
1517
+ "step": 2200
1518
+ },
1519
+ {
1520
+ "epoch": 15.17,
1521
+ "eval_loss": 0.7013991475105286,
1522
+ "eval_runtime": 55.9588,
1523
+ "eval_samples_per_second": 30.022,
1524
+ "eval_steps_per_second": 30.022,
1525
+ "eval_wer": 0.5437943628971126,
1526
+ "step": 2200
1527
+ },
1528
+ {
1529
+ "epoch": 15.24,
1530
+ "learning_rate": 1.0942105263157894e-05,
1531
+ "loss": 0.5369,
1532
+ "step": 2210
1533
+ },
1534
+ {
1535
+ "epoch": 15.31,
1536
+ "learning_rate": 1.078421052631579e-05,
1537
+ "loss": 0.4926,
1538
+ "step": 2220
1539
+ },
1540
+ {
1541
+ "epoch": 15.38,
1542
+ "learning_rate": 1.0626315789473685e-05,
1543
+ "loss": 0.3958,
1544
+ "step": 2230
1545
+ },
1546
+ {
1547
+ "epoch": 15.45,
1548
+ "learning_rate": 1.0468421052631578e-05,
1549
+ "loss": 0.4025,
1550
+ "step": 2240
1551
+ },
1552
+ {
1553
+ "epoch": 15.52,
1554
+ "learning_rate": 1.0310526315789475e-05,
1555
+ "loss": 0.6068,
1556
+ "step": 2250
1557
+ },
1558
+ {
1559
+ "epoch": 15.59,
1560
+ "learning_rate": 1.0152631578947368e-05,
1561
+ "loss": 0.4053,
1562
+ "step": 2260
1563
+ },
1564
+ {
1565
+ "epoch": 15.66,
1566
+ "learning_rate": 9.994736842105263e-06,
1567
+ "loss": 0.3958,
1568
+ "step": 2270
1569
+ },
1570
+ {
1571
+ "epoch": 15.72,
1572
+ "learning_rate": 9.836842105263158e-06,
1573
+ "loss": 0.5262,
1574
+ "step": 2280
1575
+ },
1576
+ {
1577
+ "epoch": 15.79,
1578
+ "learning_rate": 9.678947368421053e-06,
1579
+ "loss": 0.5737,
1580
+ "step": 2290
1581
+ },
1582
+ {
1583
+ "epoch": 15.86,
1584
+ "learning_rate": 9.521052631578948e-06,
1585
+ "loss": 0.3551,
1586
+ "step": 2300
1587
+ },
1588
+ {
1589
+ "epoch": 15.86,
1590
+ "eval_loss": 0.6999756097793579,
1591
+ "eval_runtime": 55.808,
1592
+ "eval_samples_per_second": 30.103,
1593
+ "eval_steps_per_second": 30.103,
1594
+ "eval_wer": 0.5426228378471505,
1595
+ "step": 2300
1596
+ },
1597
+ {
1598
+ "epoch": 15.93,
1599
+ "learning_rate": 9.363157894736841e-06,
1600
+ "loss": 0.4163,
1601
+ "step": 2310
1602
+ },
1603
+ {
1604
+ "epoch": 16.0,
1605
+ "learning_rate": 9.205263157894738e-06,
1606
+ "loss": 0.5751,
1607
+ "step": 2320
1608
+ },
1609
+ {
1610
+ "epoch": 16.07,
1611
+ "learning_rate": 9.047368421052633e-06,
1612
+ "loss": 0.4375,
1613
+ "step": 2330
1614
+ },
1615
+ {
1616
+ "epoch": 16.14,
1617
+ "learning_rate": 8.889473684210526e-06,
1618
+ "loss": 0.3596,
1619
+ "step": 2340
1620
+ },
1621
+ {
1622
+ "epoch": 16.21,
1623
+ "learning_rate": 8.731578947368422e-06,
1624
+ "loss": 0.4274,
1625
+ "step": 2350
1626
+ },
1627
+ {
1628
+ "epoch": 16.28,
1629
+ "learning_rate": 8.573684210526316e-06,
1630
+ "loss": 0.5825,
1631
+ "step": 2360
1632
+ },
1633
+ {
1634
+ "epoch": 16.34,
1635
+ "learning_rate": 8.41578947368421e-06,
1636
+ "loss": 0.3741,
1637
+ "step": 2370
1638
+ },
1639
+ {
1640
+ "epoch": 16.41,
1641
+ "learning_rate": 8.257894736842105e-06,
1642
+ "loss": 0.3959,
1643
+ "step": 2380
1644
+ },
1645
+ {
1646
+ "epoch": 16.48,
1647
+ "learning_rate": 8.1e-06,
1648
+ "loss": 0.4807,
1649
+ "step": 2390
1650
+ },
1651
+ {
1652
+ "epoch": 16.55,
1653
+ "learning_rate": 7.942105263157895e-06,
1654
+ "loss": 0.5112,
1655
+ "step": 2400
1656
+ },
1657
+ {
1658
+ "epoch": 16.55,
1659
+ "eval_loss": 0.6866209506988525,
1660
+ "eval_runtime": 55.9115,
1661
+ "eval_samples_per_second": 30.047,
1662
+ "eval_steps_per_second": 30.047,
1663
+ "eval_wer": 0.5426228378471505,
1664
+ "step": 2400
1665
+ },
1666
+ {
1667
+ "epoch": 16.62,
1668
+ "learning_rate": 7.784210526315789e-06,
1669
+ "loss": 0.3423,
1670
+ "step": 2410
1671
+ },
1672
+ {
1673
+ "epoch": 16.69,
1674
+ "learning_rate": 7.626315789473685e-06,
1675
+ "loss": 0.4187,
1676
+ "step": 2420
1677
+ },
1678
+ {
1679
+ "epoch": 16.76,
1680
+ "learning_rate": 7.468421052631579e-06,
1681
+ "loss": 0.5704,
1682
+ "step": 2430
1683
+ },
1684
+ {
1685
+ "epoch": 16.83,
1686
+ "learning_rate": 7.310526315789473e-06,
1687
+ "loss": 0.4254,
1688
+ "step": 2440
1689
+ },
1690
+ {
1691
+ "epoch": 16.9,
1692
+ "learning_rate": 7.152631578947369e-06,
1693
+ "loss": 0.3743,
1694
+ "step": 2450
1695
+ },
1696
+ {
1697
+ "epoch": 16.97,
1698
+ "learning_rate": 6.994736842105263e-06,
1699
+ "loss": 0.4354,
1700
+ "step": 2460
1701
+ },
1702
+ {
1703
+ "epoch": 17.03,
1704
+ "learning_rate": 6.836842105263158e-06,
1705
+ "loss": 0.5345,
1706
+ "step": 2470
1707
+ },
1708
+ {
1709
+ "epoch": 17.1,
1710
+ "learning_rate": 6.678947368421053e-06,
1711
+ "loss": 0.3484,
1712
+ "step": 2480
1713
+ },
1714
+ {
1715
+ "epoch": 17.17,
1716
+ "learning_rate": 6.521052631578947e-06,
1717
+ "loss": 0.3749,
1718
+ "step": 2490
1719
+ },
1720
+ {
1721
+ "epoch": 17.24,
1722
+ "learning_rate": 6.363157894736843e-06,
1723
+ "loss": 0.5139,
1724
+ "step": 2500
1725
+ },
1726
+ {
1727
+ "epoch": 17.24,
1728
+ "eval_loss": 0.7133733034133911,
1729
+ "eval_runtime": 55.9844,
1730
+ "eval_samples_per_second": 30.008,
1731
+ "eval_steps_per_second": 30.008,
1732
+ "eval_wer": 0.5445524085176763,
1733
+ "step": 2500
1734
+ },
1735
+ {
1736
+ "epoch": 17.31,
1737
+ "learning_rate": 6.205263157894737e-06,
1738
+ "loss": 0.4901,
1739
+ "step": 2510
1740
+ },
1741
+ {
1742
+ "epoch": 17.38,
1743
+ "learning_rate": 6.047368421052632e-06,
1744
+ "loss": 0.3151,
1745
+ "step": 2520
1746
+ },
1747
+ {
1748
+ "epoch": 17.45,
1749
+ "learning_rate": 5.889473684210527e-06,
1750
+ "loss": 0.3978,
1751
+ "step": 2530
1752
+ },
1753
+ {
1754
+ "epoch": 17.52,
1755
+ "learning_rate": 5.731578947368421e-06,
1756
+ "loss": 0.5495,
1757
+ "step": 2540
1758
+ },
1759
+ {
1760
+ "epoch": 17.59,
1761
+ "learning_rate": 5.573684210526316e-06,
1762
+ "loss": 0.3808,
1763
+ "step": 2550
1764
+ },
1765
+ {
1766
+ "epoch": 17.66,
1767
+ "learning_rate": 5.4157894736842105e-06,
1768
+ "loss": 0.3644,
1769
+ "step": 2560
1770
+ },
1771
+ {
1772
+ "epoch": 17.72,
1773
+ "learning_rate": 5.257894736842105e-06,
1774
+ "loss": 0.4576,
1775
+ "step": 2570
1776
+ },
1777
+ {
1778
+ "epoch": 17.79,
1779
+ "learning_rate": 5.1e-06,
1780
+ "loss": 0.5217,
1781
+ "step": 2580
1782
+ },
1783
+ {
1784
+ "epoch": 17.86,
1785
+ "learning_rate": 4.942105263157894e-06,
1786
+ "loss": 0.3407,
1787
+ "step": 2590
1788
+ },
1789
+ {
1790
+ "epoch": 17.93,
1791
+ "learning_rate": 4.78421052631579e-06,
1792
+ "loss": 0.3638,
1793
+ "step": 2600
1794
+ },
1795
+ {
1796
+ "epoch": 17.93,
1797
+ "eval_loss": 0.7130064368247986,
1798
+ "eval_runtime": 56.0896,
1799
+ "eval_samples_per_second": 29.952,
1800
+ "eval_steps_per_second": 29.952,
1801
+ "eval_wer": 0.5434497967059472,
1802
+ "step": 2600
1803
+ },
1804
+ {
1805
+ "epoch": 18.0,
1806
+ "learning_rate": 4.626315789473684e-06,
1807
+ "loss": 0.5318,
1808
+ "step": 2610
1809
+ },
1810
+ {
1811
+ "epoch": 18.07,
1812
+ "learning_rate": 4.468421052631579e-06,
1813
+ "loss": 0.4136,
1814
+ "step": 2620
1815
+ },
1816
+ {
1817
+ "epoch": 18.14,
1818
+ "learning_rate": 4.310526315789474e-06,
1819
+ "loss": 0.3302,
1820
+ "step": 2630
1821
+ },
1822
+ {
1823
+ "epoch": 18.21,
1824
+ "learning_rate": 4.152631578947368e-06,
1825
+ "loss": 0.3974,
1826
+ "step": 2640
1827
+ },
1828
+ {
1829
+ "epoch": 18.28,
1830
+ "learning_rate": 3.994736842105264e-06,
1831
+ "loss": 0.5619,
1832
+ "step": 2650
1833
+ },
1834
+ {
1835
+ "epoch": 18.34,
1836
+ "learning_rate": 3.836842105263158e-06,
1837
+ "loss": 0.355,
1838
+ "step": 2660
1839
+ },
1840
+ {
1841
+ "epoch": 18.41,
1842
+ "learning_rate": 3.678947368421053e-06,
1843
+ "loss": 0.3625,
1844
+ "step": 2670
1845
+ },
1846
+ {
1847
+ "epoch": 18.48,
1848
+ "learning_rate": 3.5210526315789473e-06,
1849
+ "loss": 0.4751,
1850
+ "step": 2680
1851
+ },
1852
+ {
1853
+ "epoch": 18.55,
1854
+ "learning_rate": 3.363157894736842e-06,
1855
+ "loss": 0.4726,
1856
+ "step": 2690
1857
+ },
1858
+ {
1859
+ "epoch": 18.62,
1860
+ "learning_rate": 3.2052631578947367e-06,
1861
+ "loss": 0.3327,
1862
+ "step": 2700
1863
+ },
1864
+ {
1865
+ "epoch": 18.62,
1866
+ "eval_loss": 0.6980041265487671,
1867
+ "eval_runtime": 56.0391,
1868
+ "eval_samples_per_second": 29.979,
1869
+ "eval_steps_per_second": 29.979,
1870
+ "eval_wer": 0.5377299979326029,
1871
+ "step": 2700
1872
+ },
1873
+ {
1874
+ "epoch": 18.69,
1875
+ "learning_rate": 3.0473684210526316e-06,
1876
+ "loss": 0.3934,
1877
+ "step": 2710
1878
+ },
1879
+ {
1880
+ "epoch": 18.76,
1881
+ "learning_rate": 2.8894736842105265e-06,
1882
+ "loss": 0.5291,
1883
+ "step": 2720
1884
+ },
1885
+ {
1886
+ "epoch": 18.83,
1887
+ "learning_rate": 2.731578947368421e-06,
1888
+ "loss": 0.3689,
1889
+ "step": 2730
1890
+ },
1891
+ {
1892
+ "epoch": 18.9,
1893
+ "learning_rate": 2.573684210526316e-06,
1894
+ "loss": 0.3522,
1895
+ "step": 2740
1896
+ },
1897
+ {
1898
+ "epoch": 18.97,
1899
+ "learning_rate": 2.4157894736842104e-06,
1900
+ "loss": 0.4337,
1901
+ "step": 2750
1902
+ },
1903
+ {
1904
+ "epoch": 19.03,
1905
+ "learning_rate": 2.2578947368421053e-06,
1906
+ "loss": 0.5182,
1907
+ "step": 2760
1908
+ },
1909
+ {
1910
+ "epoch": 19.1,
1911
+ "learning_rate": 2.1000000000000002e-06,
1912
+ "loss": 0.3249,
1913
+ "step": 2770
1914
+ },
1915
+ {
1916
+ "epoch": 19.17,
1917
+ "learning_rate": 1.9421052631578947e-06,
1918
+ "loss": 0.355,
1919
+ "step": 2780
1920
+ },
1921
+ {
1922
+ "epoch": 19.24,
1923
+ "learning_rate": 1.7842105263157896e-06,
1924
+ "loss": 0.4947,
1925
+ "step": 2790
1926
+ },
1927
+ {
1928
+ "epoch": 19.31,
1929
+ "learning_rate": 1.6263157894736843e-06,
1930
+ "loss": 0.4385,
1931
+ "step": 2800
1932
+ },
1933
+ {
1934
+ "epoch": 19.31,
1935
+ "eval_loss": 0.7016746997833252,
1936
+ "eval_runtime": 56.3283,
1937
+ "eval_samples_per_second": 29.825,
1938
+ "eval_steps_per_second": 29.825,
1939
+ "eval_wer": 0.5390393494590311,
1940
+ "step": 2800
1941
+ },
1942
+ {
1943
+ "epoch": 19.38,
1944
+ "learning_rate": 1.4684210526315788e-06,
1945
+ "loss": 0.3328,
1946
+ "step": 2810
1947
+ },
1948
+ {
1949
+ "epoch": 19.45,
1950
+ "learning_rate": 1.3105263157894737e-06,
1951
+ "loss": 0.3865,
1952
+ "step": 2820
1953
+ },
1954
+ {
1955
+ "epoch": 19.52,
1956
+ "learning_rate": 1.1526315789473684e-06,
1957
+ "loss": 0.5166,
1958
+ "step": 2830
1959
+ },
1960
+ {
1961
+ "epoch": 19.59,
1962
+ "learning_rate": 9.947368421052633e-07,
1963
+ "loss": 0.3516,
1964
+ "step": 2840
1965
+ },
1966
+ {
1967
+ "epoch": 19.66,
1968
+ "learning_rate": 8.368421052631579e-07,
1969
+ "loss": 0.3287,
1970
+ "step": 2850
1971
+ },
1972
+ {
1973
+ "epoch": 19.72,
1974
+ "learning_rate": 6.789473684210527e-07,
1975
+ "loss": 0.4436,
1976
+ "step": 2860
1977
+ },
1978
+ {
1979
+ "epoch": 19.79,
1980
+ "learning_rate": 5.210526315789473e-07,
1981
+ "loss": 0.503,
1982
+ "step": 2870
1983
+ },
1984
+ {
1985
+ "epoch": 19.86,
1986
+ "learning_rate": 3.6315789473684213e-07,
1987
+ "loss": 0.3404,
1988
+ "step": 2880
1989
+ },
1990
+ {
1991
+ "epoch": 19.93,
1992
+ "learning_rate": 2.0526315789473685e-07,
1993
+ "loss": 0.352,
1994
+ "step": 2890
1995
+ },
1996
+ {
1997
+ "epoch": 20.0,
1998
+ "learning_rate": 4.736842105263158e-08,
1999
+ "loss": 0.4986,
2000
+ "step": 2900
2001
+ },
2002
+ {
2003
+ "epoch": 20.0,
2004
+ "eval_loss": 0.7013729810714722,
2005
+ "eval_runtime": 55.9153,
2006
+ "eval_samples_per_second": 30.045,
2007
+ "eval_steps_per_second": 30.045,
2008
+ "eval_wer": 0.5373854317414375,
2009
+ "step": 2900
2010
+ },
2011
+ {
2012
+ "epoch": 20.0,
2013
+ "step": 2900,
2014
+ "total_flos": 2.6571394113263534e+18,
2015
+ "train_loss": 1.51724585755118,
2016
+ "train_runtime": 4772.7285,
2017
+ "train_samples_per_second": 19.36,
2018
+ "train_steps_per_second": 0.608
2019
+ }
2020
+ ],
2021
+ "max_steps": 2900,
2022
+ "num_train_epochs": 20,
2023
+ "total_flos": 2.6571394113263534e+18,
2024
+ "trial_name": null,
2025
+ "trial_params": null
2026
+ }