TigranGaplanyan commited on
Commit
aff1fdf
1 Parent(s): 7ebe59a

Upload 11 files

Browse files
config.json ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "facebook/wav2vec2-xls-r-300m",
3
+ "activation_dropout": 0.0,
4
+ "adapter_attn_dim": null,
5
+ "adapter_kernel_size": 3,
6
+ "adapter_stride": 2,
7
+ "add_adapter": false,
8
+ "apply_spec_augment": true,
9
+ "architectures": [
10
+ "Wav2Vec2ForCTC"
11
+ ],
12
+ "attention_dropout": 0.1,
13
+ "bos_token_id": 1,
14
+ "classifier_proj_size": 256,
15
+ "codevector_dim": 768,
16
+ "contrastive_logits_temperature": 0.1,
17
+ "conv_bias": true,
18
+ "conv_dim": [
19
+ 512,
20
+ 512,
21
+ 512,
22
+ 512,
23
+ 512,
24
+ 512,
25
+ 512
26
+ ],
27
+ "conv_kernel": [
28
+ 10,
29
+ 3,
30
+ 3,
31
+ 3,
32
+ 3,
33
+ 2,
34
+ 2
35
+ ],
36
+ "conv_stride": [
37
+ 5,
38
+ 2,
39
+ 2,
40
+ 2,
41
+ 2,
42
+ 2,
43
+ 2
44
+ ],
45
+ "ctc_loss_reduction": "mean",
46
+ "ctc_zero_infinity": false,
47
+ "diversity_loss_weight": 0.1,
48
+ "do_stable_layer_norm": true,
49
+ "eos_token_id": 2,
50
+ "feat_extract_activation": "gelu",
51
+ "feat_extract_dropout": 0.0,
52
+ "feat_extract_norm": "layer",
53
+ "feat_proj_dropout": 0.1,
54
+ "feat_quantizer_dropout": 0.0,
55
+ "final_dropout": 0.0,
56
+ "hidden_act": "gelu",
57
+ "hidden_dropout": 0.1,
58
+ "hidden_size": 1024,
59
+ "initializer_range": 0.02,
60
+ "intermediate_size": 4096,
61
+ "layer_norm_eps": 1e-05,
62
+ "layerdrop": 0.1,
63
+ "mask_feature_length": 10,
64
+ "mask_feature_min_masks": 0,
65
+ "mask_feature_prob": 0.0,
66
+ "mask_time_length": 10,
67
+ "mask_time_min_masks": 2,
68
+ "mask_time_prob": 0.075,
69
+ "model_type": "wav2vec2",
70
+ "num_adapter_layers": 3,
71
+ "num_attention_heads": 16,
72
+ "num_codevector_groups": 2,
73
+ "num_codevectors_per_group": 320,
74
+ "num_conv_pos_embedding_groups": 16,
75
+ "num_conv_pos_embeddings": 128,
76
+ "num_feat_extract_layers": 7,
77
+ "num_hidden_layers": 24,
78
+ "num_negatives": 100,
79
+ "output_hidden_size": 1024,
80
+ "pad_token_id": 47,
81
+ "proj_codevector_dim": 768,
82
+ "tdnn_dilation": [
83
+ 1,
84
+ 2,
85
+ 3,
86
+ 1,
87
+ 1
88
+ ],
89
+ "tdnn_dim": [
90
+ 512,
91
+ 512,
92
+ 512,
93
+ 512,
94
+ 1500
95
+ ],
96
+ "tdnn_kernel": [
97
+ 5,
98
+ 3,
99
+ 3,
100
+ 1,
101
+ 1
102
+ ],
103
+ "torch_dtype": "float32",
104
+ "transformers_version": "4.38.2",
105
+ "use_weighted_layer_sum": false,
106
+ "vocab_size": 50,
107
+ "xvector_output_dim": 512
108
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b3bcf8ad360c7621f1d04757a1122d14e00786f44dee9885e6f7f88efdac3be
3
+ size 1262012480
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6dcbb67b228f3a9d540c30c4ec4908e52066fd5e05932d65dea1049e4394beb4
3
+ size 2490569782
preprocessor_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_normalize": true,
3
+ "feature_extractor_type": "Wav2Vec2FeatureExtractor",
4
+ "feature_size": 1,
5
+ "padding_side": "right",
6
+ "padding_value": 0.0,
7
+ "return_attention_mask": false,
8
+ "sampling_rate": 16000
9
+ }
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8fcbb4a702f96dfc82b6c0b385989dc162a6a585a73d12a769238bccc10368dd
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a9bbbb6333d7f5a82d7204046ded86a435d7caf39a8db15924f97da626cd069
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,871 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.32769803615398474,
3
+ "best_model_checkpoint": "./wav2vec2-base-hy/checkpoint-36331",
4
+ "epoch": 50.0,
5
+ "eval_steps": 500,
6
+ "global_step": 38650,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 1.0,
13
+ "grad_norm": 1.0217593908309937,
14
+ "learning_rate": 9.928440366972478e-05,
15
+ "loss": 4.8189,
16
+ "step": 773
17
+ },
18
+ {
19
+ "epoch": 1.0,
20
+ "eval_cer": 0.9914830021613891,
21
+ "eval_loss": 3.259536027908325,
22
+ "eval_runtime": 538.6244,
23
+ "eval_samples_per_second": 7.948,
24
+ "eval_steps_per_second": 0.995,
25
+ "eval_wer": 1.0,
26
+ "step": 773
27
+ },
28
+ {
29
+ "epoch": 2.0,
30
+ "grad_norm": 6.301283359527588,
31
+ "learning_rate": 9.725819134993447e-05,
32
+ "loss": 1.7898,
33
+ "step": 1546
34
+ },
35
+ {
36
+ "epoch": 2.0,
37
+ "eval_cer": 0.1494773295194324,
38
+ "eval_loss": 0.5445137023925781,
39
+ "eval_runtime": 538.4983,
40
+ "eval_samples_per_second": 7.95,
41
+ "eval_steps_per_second": 0.995,
42
+ "eval_wer": 0.7093567953876644,
43
+ "step": 1546
44
+ },
45
+ {
46
+ "epoch": 3.0,
47
+ "grad_norm": 3.109081983566284,
48
+ "learning_rate": 9.523197903014417e-05,
49
+ "loss": 0.6005,
50
+ "step": 2319
51
+ },
52
+ {
53
+ "epoch": 3.0,
54
+ "eval_cer": 0.11405947435660509,
55
+ "eval_loss": 0.3848719298839569,
56
+ "eval_runtime": 538.0999,
57
+ "eval_samples_per_second": 7.956,
58
+ "eval_steps_per_second": 0.996,
59
+ "eval_wer": 0.56861449762777,
60
+ "step": 2319
61
+ },
62
+ {
63
+ "epoch": 4.0,
64
+ "grad_norm": 10.241255760192871,
65
+ "learning_rate": 9.320576671035387e-05,
66
+ "loss": 0.4408,
67
+ "step": 3092
68
+ },
69
+ {
70
+ "epoch": 4.0,
71
+ "eval_cer": 0.09999839301927574,
72
+ "eval_loss": 0.33175399899482727,
73
+ "eval_runtime": 538.012,
74
+ "eval_samples_per_second": 7.957,
75
+ "eval_steps_per_second": 0.996,
76
+ "eval_wer": 0.5128821091826317,
77
+ "step": 3092
78
+ },
79
+ {
80
+ "epoch": 5.0,
81
+ "grad_norm": 3.3970553874969482,
82
+ "learning_rate": 9.117955439056357e-05,
83
+ "loss": 0.3726,
84
+ "step": 3865
85
+ },
86
+ {
87
+ "epoch": 5.0,
88
+ "eval_cer": 0.09280313682637377,
89
+ "eval_loss": 0.31485071778297424,
90
+ "eval_runtime": 538.2419,
91
+ "eval_samples_per_second": 7.954,
92
+ "eval_steps_per_second": 0.996,
93
+ "eval_wer": 0.4864572698336436,
94
+ "step": 3865
95
+ },
96
+ {
97
+ "epoch": 6.0,
98
+ "grad_norm": 3.6496012210845947,
99
+ "learning_rate": 8.915334207077327e-05,
100
+ "loss": 0.324,
101
+ "step": 4638
102
+ },
103
+ {
104
+ "epoch": 6.0,
105
+ "eval_cer": 0.08554360140450115,
106
+ "eval_loss": 0.2828996181488037,
107
+ "eval_runtime": 538.7731,
108
+ "eval_samples_per_second": 7.946,
109
+ "eval_steps_per_second": 0.995,
110
+ "eval_wer": 0.4492823253858627,
111
+ "step": 4638
112
+ },
113
+ {
114
+ "epoch": 7.0,
115
+ "grad_norm": 1.054186463356018,
116
+ "learning_rate": 8.712712975098296e-05,
117
+ "loss": 0.2885,
118
+ "step": 5411
119
+ },
120
+ {
121
+ "epoch": 7.0,
122
+ "eval_cer": 0.08390448106574962,
123
+ "eval_loss": 0.2892753779888153,
124
+ "eval_runtime": 538.8258,
125
+ "eval_samples_per_second": 7.945,
126
+ "eval_steps_per_second": 0.995,
127
+ "eval_wer": 0.4395832082157228,
128
+ "step": 5411
129
+ },
130
+ {
131
+ "epoch": 8.0,
132
+ "grad_norm": 4.084922790527344,
133
+ "learning_rate": 8.510091743119266e-05,
134
+ "loss": 0.256,
135
+ "step": 6184
136
+ },
137
+ {
138
+ "epoch": 8.0,
139
+ "eval_cer": 0.0834987184328724,
140
+ "eval_loss": 0.2856770157814026,
141
+ "eval_runtime": 538.8477,
142
+ "eval_samples_per_second": 7.945,
143
+ "eval_steps_per_second": 0.995,
144
+ "eval_wer": 0.4325566032070146,
145
+ "step": 6184
146
+ },
147
+ {
148
+ "epoch": 9.0,
149
+ "grad_norm": 2.03792405128479,
150
+ "learning_rate": 8.307470511140236e-05,
151
+ "loss": 0.2425,
152
+ "step": 6957
153
+ },
154
+ {
155
+ "epoch": 9.0,
156
+ "eval_cer": 0.08157034156375294,
157
+ "eval_loss": 0.2794096767902374,
158
+ "eval_runtime": 538.7335,
159
+ "eval_samples_per_second": 7.946,
160
+ "eval_steps_per_second": 0.995,
161
+ "eval_wer": 0.4256501111044382,
162
+ "step": 6957
163
+ },
164
+ {
165
+ "epoch": 10.0,
166
+ "grad_norm": 4.848245143890381,
167
+ "learning_rate": 8.104849279161207e-05,
168
+ "loss": 0.2239,
169
+ "step": 7730
170
+ },
171
+ {
172
+ "epoch": 10.0,
173
+ "eval_cer": 0.07841262444056983,
174
+ "eval_loss": 0.2803117334842682,
175
+ "eval_runtime": 539.9556,
176
+ "eval_samples_per_second": 7.928,
177
+ "eval_steps_per_second": 0.993,
178
+ "eval_wer": 0.4096750945889136,
179
+ "step": 7730
180
+ },
181
+ {
182
+ "epoch": 11.0,
183
+ "grad_norm": 5.475008964538574,
184
+ "learning_rate": 7.902228047182177e-05,
185
+ "loss": 0.202,
186
+ "step": 8503
187
+ },
188
+ {
189
+ "epoch": 11.0,
190
+ "eval_cer": 0.07942100484504688,
191
+ "eval_loss": 0.2747463583946228,
192
+ "eval_runtime": 540.606,
193
+ "eval_samples_per_second": 7.919,
194
+ "eval_steps_per_second": 0.991,
195
+ "eval_wer": 0.4147198366464477,
196
+ "step": 8503
197
+ },
198
+ {
199
+ "epoch": 12.0,
200
+ "grad_norm": 2.023427724838257,
201
+ "learning_rate": 7.699606815203146e-05,
202
+ "loss": 0.1912,
203
+ "step": 9276
204
+ },
205
+ {
206
+ "epoch": 12.0,
207
+ "eval_cer": 0.07573700153466659,
208
+ "eval_loss": 0.2822825014591217,
209
+ "eval_runtime": 538.7132,
210
+ "eval_samples_per_second": 7.947,
211
+ "eval_steps_per_second": 0.995,
212
+ "eval_wer": 0.3974536063900066,
213
+ "step": 9276
214
+ },
215
+ {
216
+ "epoch": 13.0,
217
+ "grad_norm": 4.661593437194824,
218
+ "learning_rate": 7.496985583224116e-05,
219
+ "loss": 0.1755,
220
+ "step": 10049
221
+ },
222
+ {
223
+ "epoch": 13.0,
224
+ "eval_cer": 0.07552005913689065,
225
+ "eval_loss": 0.2788126468658447,
226
+ "eval_runtime": 539.2919,
227
+ "eval_samples_per_second": 7.938,
228
+ "eval_steps_per_second": 0.994,
229
+ "eval_wer": 0.39339979580805956,
230
+ "step": 10049
231
+ },
232
+ {
233
+ "epoch": 14.0,
234
+ "grad_norm": 2.8817713260650635,
235
+ "learning_rate": 7.294364351245086e-05,
236
+ "loss": 0.1669,
237
+ "step": 10822
238
+ },
239
+ {
240
+ "epoch": 14.0,
241
+ "eval_cer": 0.0756767397575066,
242
+ "eval_loss": 0.3079923391342163,
243
+ "eval_runtime": 538.3008,
244
+ "eval_samples_per_second": 7.953,
245
+ "eval_steps_per_second": 0.996,
246
+ "eval_wer": 0.39333973935499367,
247
+ "step": 10822
248
+ },
249
+ {
250
+ "epoch": 15.0,
251
+ "grad_norm": 4.330118656158447,
252
+ "learning_rate": 7.091743119266056e-05,
253
+ "loss": 0.1622,
254
+ "step": 11595
255
+ },
256
+ {
257
+ "epoch": 15.0,
258
+ "eval_cer": 0.07294085507444338,
259
+ "eval_loss": 0.2876891791820526,
260
+ "eval_runtime": 539.8362,
261
+ "eval_samples_per_second": 7.93,
262
+ "eval_steps_per_second": 0.993,
263
+ "eval_wer": 0.3854122875502973,
264
+ "step": 11595
265
+ },
266
+ {
267
+ "epoch": 16.0,
268
+ "grad_norm": 0.5675534009933472,
269
+ "learning_rate": 6.889121887287026e-05,
270
+ "loss": 0.1485,
271
+ "step": 12368
272
+ },
273
+ {
274
+ "epoch": 16.0,
275
+ "eval_cer": 0.07495359843158682,
276
+ "eval_loss": 0.30401086807250977,
277
+ "eval_runtime": 540.0181,
278
+ "eval_samples_per_second": 7.928,
279
+ "eval_steps_per_second": 0.993,
280
+ "eval_wer": 0.38766440454026785,
281
+ "step": 12368
282
+ },
283
+ {
284
+ "epoch": 17.0,
285
+ "grad_norm": 1.4718132019042969,
286
+ "learning_rate": 6.686500655307996e-05,
287
+ "loss": 0.1426,
288
+ "step": 13141
289
+ },
290
+ {
291
+ "epoch": 17.0,
292
+ "eval_cer": 0.07407779393686173,
293
+ "eval_loss": 0.2863430678844452,
294
+ "eval_runtime": 539.387,
295
+ "eval_samples_per_second": 7.937,
296
+ "eval_steps_per_second": 0.994,
297
+ "eval_wer": 0.38862530778932197,
298
+ "step": 13141
299
+ },
300
+ {
301
+ "epoch": 18.0,
302
+ "grad_norm": 4.17996883392334,
303
+ "learning_rate": 6.483879423328964e-05,
304
+ "loss": 0.137,
305
+ "step": 13914
306
+ },
307
+ {
308
+ "epoch": 18.0,
309
+ "eval_cer": 0.07082365797022265,
310
+ "eval_loss": 0.29217201471328735,
311
+ "eval_runtime": 540.1379,
312
+ "eval_samples_per_second": 7.926,
313
+ "eval_steps_per_second": 0.992,
314
+ "eval_wer": 0.37601345264548675,
315
+ "step": 13914
316
+ },
317
+ {
318
+ "epoch": 19.0,
319
+ "grad_norm": 1.8616777658462524,
320
+ "learning_rate": 6.281258191349934e-05,
321
+ "loss": 0.1324,
322
+ "step": 14687
323
+ },
324
+ {
325
+ "epoch": 19.0,
326
+ "eval_cer": 0.07016077842146283,
327
+ "eval_loss": 0.28696727752685547,
328
+ "eval_runtime": 539.124,
329
+ "eval_samples_per_second": 7.941,
330
+ "eval_steps_per_second": 0.994,
331
+ "eval_wer": 0.3717794727043421,
332
+ "step": 14687
333
+ },
334
+ {
335
+ "epoch": 20.0,
336
+ "grad_norm": 2.518717050552368,
337
+ "learning_rate": 6.078636959370905e-05,
338
+ "loss": 0.1247,
339
+ "step": 15460
340
+ },
341
+ {
342
+ "epoch": 20.0,
343
+ "eval_cer": 0.06962645733064432,
344
+ "eval_loss": 0.2821752727031708,
345
+ "eval_runtime": 540.8162,
346
+ "eval_samples_per_second": 7.916,
347
+ "eval_steps_per_second": 0.991,
348
+ "eval_wer": 0.3689868476367786,
349
+ "step": 15460
350
+ },
351
+ {
352
+ "epoch": 21.0,
353
+ "grad_norm": 3.7167491912841797,
354
+ "learning_rate": 5.876015727391875e-05,
355
+ "loss": 0.1226,
356
+ "step": 16233
357
+ },
358
+ {
359
+ "epoch": 21.0,
360
+ "eval_cer": 0.06858191985987128,
361
+ "eval_loss": 0.28035247325897217,
362
+ "eval_runtime": 540.4383,
363
+ "eval_samples_per_second": 7.921,
364
+ "eval_steps_per_second": 0.992,
365
+ "eval_wer": 0.3664945048345445,
366
+ "step": 16233
367
+ },
368
+ {
369
+ "epoch": 22.0,
370
+ "grad_norm": 1.6708425283432007,
371
+ "learning_rate": 5.673394495412845e-05,
372
+ "loss": 0.1162,
373
+ "step": 17006
374
+ },
375
+ {
376
+ "epoch": 22.0,
377
+ "eval_cer": 0.07046208730726275,
378
+ "eval_loss": 0.3041548728942871,
379
+ "eval_runtime": 539.3197,
380
+ "eval_samples_per_second": 7.938,
381
+ "eval_steps_per_second": 0.994,
382
+ "eval_wer": 0.37355113806978557,
383
+ "step": 17006
384
+ },
385
+ {
386
+ "epoch": 23.0,
387
+ "grad_norm": 0.9431765675544739,
388
+ "learning_rate": 5.4707732634338135e-05,
389
+ "loss": 0.1116,
390
+ "step": 17779
391
+ },
392
+ {
393
+ "epoch": 23.0,
394
+ "eval_cer": 0.06816410487156206,
395
+ "eval_loss": 0.293849378824234,
396
+ "eval_runtime": 540.8252,
397
+ "eval_samples_per_second": 7.916,
398
+ "eval_steps_per_second": 0.991,
399
+ "eval_wer": 0.3625608071587292,
400
+ "step": 17779
401
+ },
402
+ {
403
+ "epoch": 24.0,
404
+ "grad_norm": 1.915635347366333,
405
+ "learning_rate": 5.268152031454784e-05,
406
+ "loss": 0.1068,
407
+ "step": 18552
408
+ },
409
+ {
410
+ "epoch": 24.0,
411
+ "eval_cer": 0.06715170701527436,
412
+ "eval_loss": 0.29729682207107544,
413
+ "eval_runtime": 540.0658,
414
+ "eval_samples_per_second": 7.927,
415
+ "eval_steps_per_second": 0.992,
416
+ "eval_wer": 0.3608191700198186,
417
+ "step": 18552
418
+ },
419
+ {
420
+ "epoch": 25.0,
421
+ "grad_norm": 1.3635971546173096,
422
+ "learning_rate": 5.065530799475754e-05,
423
+ "loss": 0.1014,
424
+ "step": 19325
425
+ },
426
+ {
427
+ "epoch": 25.0,
428
+ "eval_cer": 0.06892340326377785,
429
+ "eval_loss": 0.31454575061798096,
430
+ "eval_runtime": 538.5303,
431
+ "eval_samples_per_second": 7.949,
432
+ "eval_steps_per_second": 0.995,
433
+ "eval_wer": 0.36304125878325627,
434
+ "step": 19325
435
+ },
436
+ {
437
+ "epoch": 26.0,
438
+ "grad_norm": 2.388526201248169,
439
+ "learning_rate": 4.8629095674967235e-05,
440
+ "loss": 0.0996,
441
+ "step": 20098
442
+ },
443
+ {
444
+ "epoch": 26.0,
445
+ "eval_cer": 0.06636830391219457,
446
+ "eval_loss": 0.30341199040412903,
447
+ "eval_runtime": 543.2486,
448
+ "eval_samples_per_second": 7.88,
449
+ "eval_steps_per_second": 0.987,
450
+ "eval_wer": 0.35634496426641044,
451
+ "step": 20098
452
+ },
453
+ {
454
+ "epoch": 27.0,
455
+ "grad_norm": 7.999663829803467,
456
+ "learning_rate": 4.6602883355176935e-05,
457
+ "loss": 0.096,
458
+ "step": 20871
459
+ },
460
+ {
461
+ "epoch": 27.0,
462
+ "eval_cer": 0.06646070530383988,
463
+ "eval_loss": 0.2997344732284546,
464
+ "eval_runtime": 541.4586,
465
+ "eval_samples_per_second": 7.906,
466
+ "eval_steps_per_second": 0.99,
467
+ "eval_wer": 0.35541408924388923,
468
+ "step": 20871
469
+ },
470
+ {
471
+ "epoch": 28.0,
472
+ "grad_norm": 3.0532593727111816,
473
+ "learning_rate": 4.4576671035386635e-05,
474
+ "loss": 0.0936,
475
+ "step": 21644
476
+ },
477
+ {
478
+ "epoch": 28.0,
479
+ "eval_cer": 0.0656773022007601,
480
+ "eval_loss": 0.3077986538410187,
481
+ "eval_runtime": 541.1099,
482
+ "eval_samples_per_second": 7.912,
483
+ "eval_steps_per_second": 0.991,
484
+ "eval_wer": 0.35099993994354695,
485
+ "step": 21644
486
+ },
487
+ {
488
+ "epoch": 29.0,
489
+ "grad_norm": 1.7395150661468506,
490
+ "learning_rate": 4.255045871559633e-05,
491
+ "loss": 0.091,
492
+ "step": 22417
493
+ },
494
+ {
495
+ "epoch": 29.0,
496
+ "eval_cer": 0.06572952907429876,
497
+ "eval_loss": 0.299217164516449,
498
+ "eval_runtime": 544.6033,
499
+ "eval_samples_per_second": 7.861,
500
+ "eval_steps_per_second": 0.984,
501
+ "eval_wer": 0.34874782295357637,
502
+ "step": 22417
503
+ },
504
+ {
505
+ "epoch": 30.0,
506
+ "grad_norm": 2.331186532974243,
507
+ "learning_rate": 4.0524246395806035e-05,
508
+ "loss": 0.0914,
509
+ "step": 23190
510
+ },
511
+ {
512
+ "epoch": 30.0,
513
+ "eval_cer": 0.06598664599018135,
514
+ "eval_loss": 0.31265002489089966,
515
+ "eval_runtime": 539.5662,
516
+ "eval_samples_per_second": 7.934,
517
+ "eval_steps_per_second": 0.993,
518
+ "eval_wer": 0.3516305327007387,
519
+ "step": 23190
520
+ },
521
+ {
522
+ "epoch": 31.0,
523
+ "grad_norm": 0.5025594234466553,
524
+ "learning_rate": 3.849803407601573e-05,
525
+ "loss": 0.0849,
526
+ "step": 23963
527
+ },
528
+ {
529
+ "epoch": 31.0,
530
+ "eval_cer": 0.06473721847706437,
531
+ "eval_loss": 0.3014875054359436,
532
+ "eval_runtime": 540.1447,
533
+ "eval_samples_per_second": 7.926,
534
+ "eval_steps_per_second": 0.992,
535
+ "eval_wer": 0.34751666566572575,
536
+ "step": 23963
537
+ },
538
+ {
539
+ "epoch": 32.0,
540
+ "grad_norm": 3.843916416168213,
541
+ "learning_rate": 3.647182175622543e-05,
542
+ "loss": 0.0819,
543
+ "step": 24736
544
+ },
545
+ {
546
+ "epoch": 32.0,
547
+ "eval_cer": 0.06535992350771752,
548
+ "eval_loss": 0.3202614486217499,
549
+ "eval_runtime": 539.8225,
550
+ "eval_samples_per_second": 7.93,
551
+ "eval_steps_per_second": 0.993,
552
+ "eval_wer": 0.348927992312774,
553
+ "step": 24736
554
+ },
555
+ {
556
+ "epoch": 33.0,
557
+ "grad_norm": 3.8599517345428467,
558
+ "learning_rate": 3.444560943643513e-05,
559
+ "loss": 0.0806,
560
+ "step": 25509
561
+ },
562
+ {
563
+ "epoch": 33.0,
564
+ "eval_cer": 0.06497023068208296,
565
+ "eval_loss": 0.3200363516807556,
566
+ "eval_runtime": 539.477,
567
+ "eval_samples_per_second": 7.935,
568
+ "eval_steps_per_second": 0.994,
569
+ "eval_wer": 0.3485676535943787,
570
+ "step": 25509
571
+ },
572
+ {
573
+ "epoch": 34.0,
574
+ "grad_norm": 3.0424208641052246,
575
+ "learning_rate": 3.241939711664482e-05,
576
+ "loss": 0.08,
577
+ "step": 26282
578
+ },
579
+ {
580
+ "epoch": 34.0,
581
+ "eval_cer": 0.06427119406702717,
582
+ "eval_loss": 0.3235025107860565,
583
+ "eval_runtime": 540.33,
584
+ "eval_samples_per_second": 7.923,
585
+ "eval_steps_per_second": 0.992,
586
+ "eval_wer": 0.3427722058735211,
587
+ "step": 26282
588
+ },
589
+ {
590
+ "epoch": 35.0,
591
+ "grad_norm": 1.9409205913543701,
592
+ "learning_rate": 3.0393184796854524e-05,
593
+ "loss": 0.0762,
594
+ "step": 27055
595
+ },
596
+ {
597
+ "epoch": 35.0,
598
+ "eval_cer": 0.06393774556674192,
599
+ "eval_loss": 0.31750521063804626,
600
+ "eval_runtime": 540.1387,
601
+ "eval_samples_per_second": 7.926,
602
+ "eval_steps_per_second": 0.992,
603
+ "eval_wer": 0.34442375833283284,
604
+ "step": 27055
605
+ },
606
+ {
607
+ "epoch": 36.0,
608
+ "grad_norm": 2.8859474658966064,
609
+ "learning_rate": 2.8366972477064224e-05,
610
+ "loss": 0.0753,
611
+ "step": 27828
612
+ },
613
+ {
614
+ "epoch": 36.0,
615
+ "eval_cer": 0.06355207019291803,
616
+ "eval_loss": 0.3156121075153351,
617
+ "eval_runtime": 541.5718,
618
+ "eval_samples_per_second": 7.905,
619
+ "eval_steps_per_second": 0.99,
620
+ "eval_wer": 0.34202150021019756,
621
+ "step": 27828
622
+ },
623
+ {
624
+ "epoch": 37.0,
625
+ "grad_norm": 1.7962828874588013,
626
+ "learning_rate": 2.634076015727392e-05,
627
+ "loss": 0.0709,
628
+ "step": 28601
629
+ },
630
+ {
631
+ "epoch": 37.0,
632
+ "eval_cer": 0.06434752565142982,
633
+ "eval_loss": 0.31625601649284363,
634
+ "eval_runtime": 540.5673,
635
+ "eval_samples_per_second": 7.919,
636
+ "eval_steps_per_second": 0.992,
637
+ "eval_wer": 0.3438832502552399,
638
+ "step": 28601
639
+ },
640
+ {
641
+ "epoch": 38.0,
642
+ "grad_norm": 0.47632133960723877,
643
+ "learning_rate": 2.4314547837483617e-05,
644
+ "loss": 0.0709,
645
+ "step": 29374
646
+ },
647
+ {
648
+ "epoch": 38.0,
649
+ "eval_cer": 0.06292534771045422,
650
+ "eval_loss": 0.3177834451198578,
651
+ "eval_runtime": 542.3771,
652
+ "eval_samples_per_second": 7.893,
653
+ "eval_steps_per_second": 0.988,
654
+ "eval_wer": 0.33988949612635877,
655
+ "step": 29374
656
+ },
657
+ {
658
+ "epoch": 39.0,
659
+ "grad_norm": 1.1476659774780273,
660
+ "learning_rate": 2.2288335517693317e-05,
661
+ "loss": 0.0674,
662
+ "step": 30147
663
+ },
664
+ {
665
+ "epoch": 39.0,
666
+ "eval_cer": 0.06325879621073945,
667
+ "eval_loss": 0.31504514813423157,
668
+ "eval_runtime": 539.8002,
669
+ "eval_samples_per_second": 7.931,
670
+ "eval_steps_per_second": 0.993,
671
+ "eval_wer": 0.34009969371208937,
672
+ "step": 30147
673
+ },
674
+ {
675
+ "epoch": 40.0,
676
+ "grad_norm": 3.619795560836792,
677
+ "learning_rate": 2.0262123197903017e-05,
678
+ "loss": 0.0679,
679
+ "step": 30920
680
+ },
681
+ {
682
+ "epoch": 40.0,
683
+ "eval_cer": 0.06262002137284363,
684
+ "eval_loss": 0.3333224356174469,
685
+ "eval_runtime": 540.4897,
686
+ "eval_samples_per_second": 7.921,
687
+ "eval_steps_per_second": 0.992,
688
+ "eval_wer": 0.3378776049486517,
689
+ "step": 30920
690
+ },
691
+ {
692
+ "epoch": 41.0,
693
+ "grad_norm": 5.51519775390625,
694
+ "learning_rate": 1.8235910878112714e-05,
695
+ "loss": 0.0636,
696
+ "step": 31693
697
+ },
698
+ {
699
+ "epoch": 41.0,
700
+ "eval_cer": 0.06255975959568365,
701
+ "eval_loss": 0.32877811789512634,
702
+ "eval_runtime": 541.1158,
703
+ "eval_samples_per_second": 7.911,
704
+ "eval_steps_per_second": 0.991,
705
+ "eval_wer": 0.3371869557383941,
706
+ "step": 31693
707
+ },
708
+ {
709
+ "epoch": 42.0,
710
+ "grad_norm": 3.61895751953125,
711
+ "learning_rate": 1.620969855832241e-05,
712
+ "loss": 0.0614,
713
+ "step": 32466
714
+ },
715
+ {
716
+ "epoch": 42.0,
717
+ "eval_cer": 0.062358887005150375,
718
+ "eval_loss": 0.3240591883659363,
719
+ "eval_runtime": 540.0535,
720
+ "eval_samples_per_second": 7.927,
721
+ "eval_steps_per_second": 0.992,
722
+ "eval_wer": 0.33619602426280704,
723
+ "step": 32466
724
+ },
725
+ {
726
+ "epoch": 43.0,
727
+ "grad_norm": 1.1857914924621582,
728
+ "learning_rate": 1.4183486238532112e-05,
729
+ "loss": 0.0629,
730
+ "step": 33239
731
+ },
732
+ {
733
+ "epoch": 43.0,
734
+ "eval_cer": 0.06161967587198792,
735
+ "eval_loss": 0.3232579231262207,
736
+ "eval_runtime": 540.6476,
737
+ "eval_samples_per_second": 7.918,
738
+ "eval_steps_per_second": 0.991,
739
+ "eval_wer": 0.3335235121013753,
740
+ "step": 33239
741
+ },
742
+ {
743
+ "epoch": 44.0,
744
+ "grad_norm": 0.7397142052650452,
745
+ "learning_rate": 1.2157273918741809e-05,
746
+ "loss": 0.061,
747
+ "step": 34012
748
+ },
749
+ {
750
+ "epoch": 44.0,
751
+ "eval_cer": 0.06244325349317435,
752
+ "eval_loss": 0.32336390018463135,
753
+ "eval_runtime": 539.148,
754
+ "eval_samples_per_second": 7.94,
755
+ "eval_steps_per_second": 0.994,
756
+ "eval_wer": 0.3349648669749565,
757
+ "step": 34012
758
+ },
759
+ {
760
+ "epoch": 45.0,
761
+ "grad_norm": 2.209028482437134,
762
+ "learning_rate": 1.0131061598951509e-05,
763
+ "loss": 0.0604,
764
+ "step": 34785
765
+ },
766
+ {
767
+ "epoch": 45.0,
768
+ "eval_cer": 0.061691990004579894,
769
+ "eval_loss": 0.32257187366485596,
770
+ "eval_runtime": 539.0839,
771
+ "eval_samples_per_second": 7.941,
772
+ "eval_steps_per_second": 0.994,
773
+ "eval_wer": 0.33421416131163295,
774
+ "step": 34785
775
+ },
776
+ {
777
+ "epoch": 46.0,
778
+ "grad_norm": 0.40143582224845886,
779
+ "learning_rate": 8.104849279161205e-06,
780
+ "loss": 0.0582,
781
+ "step": 35558
782
+ },
783
+ {
784
+ "epoch": 46.0,
785
+ "eval_cer": 0.06054299878672955,
786
+ "eval_loss": 0.326095849275589,
787
+ "eval_runtime": 538.3445,
788
+ "eval_samples_per_second": 7.952,
789
+ "eval_steps_per_second": 0.996,
790
+ "eval_wer": 0.3291994474806318,
791
+ "step": 35558
792
+ },
793
+ {
794
+ "epoch": 47.0,
795
+ "grad_norm": 2.2391343116760254,
796
+ "learning_rate": 6.078636959370904e-06,
797
+ "loss": 0.0575,
798
+ "step": 36331
799
+ },
800
+ {
801
+ "epoch": 47.0,
802
+ "eval_cer": 0.060346143648006945,
803
+ "eval_loss": 0.31861406564712524,
804
+ "eval_runtime": 541.1135,
805
+ "eval_samples_per_second": 7.911,
806
+ "eval_steps_per_second": 0.991,
807
+ "eval_wer": 0.32769803615398474,
808
+ "step": 36331
809
+ },
810
+ {
811
+ "epoch": 48.0,
812
+ "grad_norm": 2.6581954956054688,
813
+ "learning_rate": 4.052424639580603e-06,
814
+ "loss": 0.0553,
815
+ "step": 37104
816
+ },
817
+ {
818
+ "epoch": 48.0,
819
+ "eval_cer": 0.060695661955534844,
820
+ "eval_loss": 0.32371774315834045,
821
+ "eval_runtime": 539.7027,
822
+ "eval_samples_per_second": 7.932,
823
+ "eval_steps_per_second": 0.993,
824
+ "eval_wer": 0.3286889676295718,
825
+ "step": 37104
826
+ },
827
+ {
828
+ "epoch": 49.0,
829
+ "grad_norm": 1.2842614650726318,
830
+ "learning_rate": 2.0262123197903013e-06,
831
+ "loss": 0.0554,
832
+ "step": 37877
833
+ },
834
+ {
835
+ "epoch": 49.0,
836
+ "eval_cer": 0.060611295467510866,
837
+ "eval_loss": 0.3244434893131256,
838
+ "eval_runtime": 539.5278,
839
+ "eval_samples_per_second": 7.935,
840
+ "eval_steps_per_second": 0.993,
841
+ "eval_wer": 0.3289291934418353,
842
+ "step": 37877
843
+ },
844
+ {
845
+ "epoch": 50.0,
846
+ "grad_norm": 1.3330661058425903,
847
+ "learning_rate": 0.0,
848
+ "loss": 0.0543,
849
+ "step": 38650
850
+ },
851
+ {
852
+ "epoch": 50.0,
853
+ "eval_cer": 0.0604787195577589,
854
+ "eval_loss": 0.32520928978919983,
855
+ "eval_runtime": 540.1631,
856
+ "eval_samples_per_second": 7.925,
857
+ "eval_steps_per_second": 0.992,
858
+ "eval_wer": 0.32829860068464356,
859
+ "step": 38650
860
+ }
861
+ ],
862
+ "logging_steps": 500,
863
+ "max_steps": 38650,
864
+ "num_input_tokens_seen": 0,
865
+ "num_train_epochs": 50,
866
+ "save_steps": 500,
867
+ "total_flos": 4.930233517238343e+19,
868
+ "train_batch_size": 8,
869
+ "trial_name": null,
870
+ "trial_params": null
871
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8c6ab60db645952785375eda3a692c5162e6a70391f370abfe5ca9d3fe0738f4
3
+ size 4856
training_args/byteorder ADDED
@@ -0,0 +1 @@
 
 
1
+ little
training_args/data.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:59968a613ed68c67977829690cdcbb5e8a7b48fc351624ed25a32ed9e8293564
3
+ size 3988
training_args/version ADDED
@@ -0,0 +1 @@
 
 
1
+ 3