ctsoukala commited on
Commit
cc5bb11
1 Parent(s): 779df90

initial model

Browse files
checkpoint-27580/config.json ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "wav2vec2-xls-r-parlaspeech-hr",
3
+ "activation_dropout": 0.0,
4
+ "adapter_kernel_size": 3,
5
+ "adapter_stride": 2,
6
+ "add_adapter": false,
7
+ "apply_spec_augment": true,
8
+ "architectures": [
9
+ "Wav2Vec2ForCTC"
10
+ ],
11
+ "attention_dropout": 0.1,
12
+ "bos_token_id": 1,
13
+ "classifier_proj_size": 256,
14
+ "codevector_dim": 768,
15
+ "contrastive_logits_temperature": 0.1,
16
+ "conv_bias": true,
17
+ "conv_dim": [
18
+ 512,
19
+ 512,
20
+ 512,
21
+ 512,
22
+ 512,
23
+ 512,
24
+ 512
25
+ ],
26
+ "conv_kernel": [
27
+ 10,
28
+ 3,
29
+ 3,
30
+ 3,
31
+ 3,
32
+ 2,
33
+ 2
34
+ ],
35
+ "conv_stride": [
36
+ 5,
37
+ 2,
38
+ 2,
39
+ 2,
40
+ 2,
41
+ 2,
42
+ 2
43
+ ],
44
+ "ctc_loss_reduction": "mean",
45
+ "ctc_zero_infinity": true,
46
+ "diversity_loss_weight": 0.1,
47
+ "do_stable_layer_norm": true,
48
+ "eos_token_id": 2,
49
+ "feat_extract_activation": "gelu",
50
+ "feat_extract_dropout": 0.0,
51
+ "feat_extract_norm": "layer",
52
+ "feat_proj_dropout": 0.0,
53
+ "feat_quantizer_dropout": 0.0,
54
+ "final_dropout": 0.0,
55
+ "gradient_checkpointing": false,
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": 0.05,
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": 51,
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": "4.19.4",
105
+ "use_weighted_layer_sum": false,
106
+ "vocab_size": 52,
107
+ "xvector_output_dim": 512
108
+ }
checkpoint-27580/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a5f8299516b9ad5674adea7e55b1c7a95d926f40cfd3442aefdc924a8f07d12e
3
+ size 2490585729
checkpoint-27580/preprocessor_config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_normalize": true,
3
+ "feature_extractor_type": "Wav2Vec2FeatureExtractor",
4
+ "feature_size": 1,
5
+ "padding_side": "right",
6
+ "padding_value": 0.0,
7
+ "processor_class": "Wav2Vec2Processor",
8
+ "return_attention_mask": true,
9
+ "sampling_rate": 16000
10
+ }
checkpoint-27580/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ebcc0e6de114a1b32dd61d08501c2d612b86127839a6a5af5ad043f13e0c6c18
3
+ size 1262115053
checkpoint-27580/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cf893b16f17408fec1ecf14a11c8fcb078ec42d8751a9a4bb4b8bd106a8940fa
3
+ size 14639
checkpoint-27580/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ec32b769a697437dd8fe11d81712b4a1c7668000c56fb3a98d0dd5222985d4ae
3
+ size 627
checkpoint-27580/trainer_state.json ADDED
@@ -0,0 +1,1188 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.09356310187531677,
3
+ "best_model_checkpoint": "wav2vec2-xls-r-slavic-pomak/checkpoint-27580",
4
+ "epoch": 34.99936588459099,
5
+ "global_step": 27580,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.25,
12
+ "learning_rate": 0.00011999999999999999,
13
+ "loss": 5.3636,
14
+ "step": 200
15
+ },
16
+ {
17
+ "epoch": 0.51,
18
+ "learning_rate": 0.00023999999999999998,
19
+ "loss": 1.2489,
20
+ "step": 400
21
+ },
22
+ {
23
+ "epoch": 0.76,
24
+ "learning_rate": 0.0002988921713441654,
25
+ "loss": 0.8015,
26
+ "step": 600
27
+ },
28
+ {
29
+ "epoch": 1.0,
30
+ "eval_cer": 0.07991897799971923,
31
+ "eval_loss": 0.34495434165000916,
32
+ "eval_runtime": 40.7653,
33
+ "eval_samples_per_second": 38.685,
34
+ "eval_steps_per_second": 4.857,
35
+ "eval_wer": 0.33421186011150533,
36
+ "step": 788
37
+ },
38
+ {
39
+ "epoch": 1.02,
40
+ "learning_rate": 0.00029667651403249626,
41
+ "loss": 0.6801,
42
+ "step": 800
43
+ },
44
+ {
45
+ "epoch": 1.27,
46
+ "learning_rate": 0.00029446085672082717,
47
+ "loss": 0.6282,
48
+ "step": 1000
49
+ },
50
+ {
51
+ "epoch": 1.52,
52
+ "learning_rate": 0.00029224519940915803,
53
+ "loss": 0.5794,
54
+ "step": 1200
55
+ },
56
+ {
57
+ "epoch": 1.78,
58
+ "learning_rate": 0.0002900295420974889,
59
+ "loss": 0.5688,
60
+ "step": 1400
61
+ },
62
+ {
63
+ "epoch": 2.0,
64
+ "eval_cer": 0.05737721356516856,
65
+ "eval_loss": 0.2721518874168396,
66
+ "eval_runtime": 42.4122,
67
+ "eval_samples_per_second": 37.183,
68
+ "eval_steps_per_second": 4.668,
69
+ "eval_wer": 0.22199695894576787,
70
+ "step": 1576
71
+ },
72
+ {
73
+ "epoch": 2.03,
74
+ "learning_rate": 0.0002878138847858198,
75
+ "loss": 0.5417,
76
+ "step": 1600
77
+ },
78
+ {
79
+ "epoch": 2.28,
80
+ "learning_rate": 0.00028559822747415065,
81
+ "loss": 0.4888,
82
+ "step": 1800
83
+ },
84
+ {
85
+ "epoch": 2.54,
86
+ "learning_rate": 0.0002833825701624815,
87
+ "loss": 0.5066,
88
+ "step": 2000
89
+ },
90
+ {
91
+ "epoch": 2.79,
92
+ "learning_rate": 0.0002811669128508124,
93
+ "loss": 0.4869,
94
+ "step": 2200
95
+ },
96
+ {
97
+ "epoch": 3.0,
98
+ "eval_cer": 0.053346168501694644,
99
+ "eval_loss": 0.2440285086631775,
100
+ "eval_runtime": 40.5216,
101
+ "eval_samples_per_second": 38.917,
102
+ "eval_steps_per_second": 4.886,
103
+ "eval_wer": 0.20293968575772936,
104
+ "step": 2364
105
+ },
106
+ {
107
+ "epoch": 3.05,
108
+ "learning_rate": 0.0002789512555391432,
109
+ "loss": 0.4609,
110
+ "step": 2400
111
+ },
112
+ {
113
+ "epoch": 3.3,
114
+ "learning_rate": 0.00027673559822747414,
115
+ "loss": 0.4369,
116
+ "step": 2600
117
+ },
118
+ {
119
+ "epoch": 3.55,
120
+ "learning_rate": 0.000274519940915805,
121
+ "loss": 0.4398,
122
+ "step": 2800
123
+ },
124
+ {
125
+ "epoch": 3.81,
126
+ "learning_rate": 0.00027230428360413585,
127
+ "loss": 0.4494,
128
+ "step": 3000
129
+ },
130
+ {
131
+ "epoch": 4.0,
132
+ "eval_cer": 0.04845276056394521,
133
+ "eval_loss": 0.2370358109474182,
134
+ "eval_runtime": 40.4374,
135
+ "eval_samples_per_second": 38.999,
136
+ "eval_steps_per_second": 4.896,
137
+ "eval_wer": 0.18459199189052206,
138
+ "step": 3152
139
+ },
140
+ {
141
+ "epoch": 4.06,
142
+ "learning_rate": 0.00027008862629246676,
143
+ "loss": 0.433,
144
+ "step": 3200
145
+ },
146
+ {
147
+ "epoch": 4.31,
148
+ "learning_rate": 0.0002678729689807976,
149
+ "loss": 0.4144,
150
+ "step": 3400
151
+ },
152
+ {
153
+ "epoch": 4.57,
154
+ "learning_rate": 0.0002656573116691285,
155
+ "loss": 0.4018,
156
+ "step": 3600
157
+ },
158
+ {
159
+ "epoch": 4.82,
160
+ "learning_rate": 0.0002634416543574594,
161
+ "loss": 0.3969,
162
+ "step": 3800
163
+ },
164
+ {
165
+ "epoch": 5.0,
166
+ "eval_cer": 0.04522391352305317,
167
+ "eval_loss": 0.23047970235347748,
168
+ "eval_runtime": 41.6141,
169
+ "eval_samples_per_second": 37.896,
170
+ "eval_steps_per_second": 4.758,
171
+ "eval_wer": 0.1727318803852002,
172
+ "step": 3940
173
+ },
174
+ {
175
+ "epoch": 5.08,
176
+ "learning_rate": 0.0002612259970457902,
177
+ "loss": 0.3934,
178
+ "step": 4000
179
+ },
180
+ {
181
+ "epoch": 5.33,
182
+ "learning_rate": 0.0002590103397341211,
183
+ "loss": 0.3676,
184
+ "step": 4200
185
+ },
186
+ {
187
+ "epoch": 5.58,
188
+ "learning_rate": 0.00025679468242245196,
189
+ "loss": 0.3725,
190
+ "step": 4400
191
+ },
192
+ {
193
+ "epoch": 5.84,
194
+ "learning_rate": 0.0002545790251107828,
195
+ "loss": 0.373,
196
+ "step": 4600
197
+ },
198
+ {
199
+ "epoch": 6.0,
200
+ "eval_cer": 0.0472494635300724,
201
+ "eval_loss": 0.21691733598709106,
202
+ "eval_runtime": 40.268,
203
+ "eval_samples_per_second": 39.163,
204
+ "eval_steps_per_second": 4.917,
205
+ "eval_wer": 0.17465788139888494,
206
+ "step": 4728
207
+ },
208
+ {
209
+ "epoch": 6.09,
210
+ "learning_rate": 0.0002523633677991137,
211
+ "loss": 0.3554,
212
+ "step": 4800
213
+ },
214
+ {
215
+ "epoch": 6.34,
216
+ "learning_rate": 0.0002501477104874446,
217
+ "loss": 0.332,
218
+ "step": 5000
219
+ },
220
+ {
221
+ "epoch": 6.6,
222
+ "learning_rate": 0.00024793205317577544,
223
+ "loss": 0.3462,
224
+ "step": 5200
225
+ },
226
+ {
227
+ "epoch": 6.85,
228
+ "learning_rate": 0.00024571639586410635,
229
+ "loss": 0.3483,
230
+ "step": 5400
231
+ },
232
+ {
233
+ "epoch": 7.0,
234
+ "eval_cer": 0.04143352786635381,
235
+ "eval_loss": 0.22267436981201172,
236
+ "eval_runtime": 40.4667,
237
+ "eval_samples_per_second": 38.97,
238
+ "eval_steps_per_second": 4.893,
239
+ "eval_wer": 0.15701976685250887,
240
+ "step": 5516
241
+ },
242
+ {
243
+ "epoch": 7.11,
244
+ "learning_rate": 0.0002435007385524372,
245
+ "loss": 0.3532,
246
+ "step": 5600
247
+ },
248
+ {
249
+ "epoch": 7.36,
250
+ "learning_rate": 0.00024128508124076806,
251
+ "loss": 0.3249,
252
+ "step": 5800
253
+ },
254
+ {
255
+ "epoch": 7.61,
256
+ "learning_rate": 0.00023906942392909895,
257
+ "loss": 0.3436,
258
+ "step": 6000
259
+ },
260
+ {
261
+ "epoch": 7.87,
262
+ "learning_rate": 0.00023685376661742983,
263
+ "loss": 0.31,
264
+ "step": 6200
265
+ },
266
+ {
267
+ "epoch": 8.0,
268
+ "eval_cer": 0.0421153961855484,
269
+ "eval_loss": 0.21147780120372772,
270
+ "eval_runtime": 40.4158,
271
+ "eval_samples_per_second": 39.019,
272
+ "eval_steps_per_second": 4.899,
273
+ "eval_wer": 0.15306639635073493,
274
+ "step": 6304
275
+ },
276
+ {
277
+ "epoch": 8.12,
278
+ "learning_rate": 0.0002346381093057607,
279
+ "loss": 0.3175,
280
+ "step": 6400
281
+ },
282
+ {
283
+ "epoch": 8.38,
284
+ "learning_rate": 0.00023242245199409157,
285
+ "loss": 0.2886,
286
+ "step": 6600
287
+ },
288
+ {
289
+ "epoch": 8.63,
290
+ "learning_rate": 0.00023020679468242246,
291
+ "loss": 0.2919,
292
+ "step": 6800
293
+ },
294
+ {
295
+ "epoch": 8.88,
296
+ "learning_rate": 0.0002279911373707533,
297
+ "loss": 0.3127,
298
+ "step": 7000
299
+ },
300
+ {
301
+ "epoch": 9.0,
302
+ "eval_cer": 0.04123297836070834,
303
+ "eval_loss": 0.2211967408657074,
304
+ "eval_runtime": 40.3337,
305
+ "eval_samples_per_second": 39.099,
306
+ "eval_steps_per_second": 4.909,
307
+ "eval_wer": 0.1559047136340598,
308
+ "step": 7092
309
+ },
310
+ {
311
+ "epoch": 9.14,
312
+ "learning_rate": 0.00022577548005908417,
313
+ "loss": 0.3022,
314
+ "step": 7200
315
+ },
316
+ {
317
+ "epoch": 9.39,
318
+ "learning_rate": 0.00022355982274741506,
319
+ "loss": 0.2737,
320
+ "step": 7400
321
+ },
322
+ {
323
+ "epoch": 9.64,
324
+ "learning_rate": 0.0002213441654357459,
325
+ "loss": 0.2681,
326
+ "step": 7600
327
+ },
328
+ {
329
+ "epoch": 9.9,
330
+ "learning_rate": 0.0002191285081240768,
331
+ "loss": 0.2795,
332
+ "step": 7800
333
+ },
334
+ {
335
+ "epoch": 10.0,
336
+ "eval_cer": 0.038124461023203576,
337
+ "eval_loss": 0.21809443831443787,
338
+ "eval_runtime": 40.3044,
339
+ "eval_samples_per_second": 39.127,
340
+ "eval_steps_per_second": 4.913,
341
+ "eval_wer": 0.1395843892549417,
342
+ "step": 7880
343
+ },
344
+ {
345
+ "epoch": 10.15,
346
+ "learning_rate": 0.00021691285081240765,
347
+ "loss": 0.2714,
348
+ "step": 8000
349
+ },
350
+ {
351
+ "epoch": 10.41,
352
+ "learning_rate": 0.00021469719350073854,
353
+ "loss": 0.2575,
354
+ "step": 8200
355
+ },
356
+ {
357
+ "epoch": 10.66,
358
+ "learning_rate": 0.00021248153618906942,
359
+ "loss": 0.2758,
360
+ "step": 8400
361
+ },
362
+ {
363
+ "epoch": 10.91,
364
+ "learning_rate": 0.00021026587887740025,
365
+ "loss": 0.2676,
366
+ "step": 8600
367
+ },
368
+ {
369
+ "epoch": 11.0,
370
+ "eval_cer": 0.03782363676473537,
371
+ "eval_loss": 0.22525641322135925,
372
+ "eval_runtime": 40.3665,
373
+ "eval_samples_per_second": 39.067,
374
+ "eval_steps_per_second": 4.905,
375
+ "eval_wer": 0.1375570197668525,
376
+ "step": 8668
377
+ },
378
+ {
379
+ "epoch": 11.17,
380
+ "learning_rate": 0.00020805022156573114,
381
+ "loss": 0.2398,
382
+ "step": 8800
383
+ },
384
+ {
385
+ "epoch": 11.42,
386
+ "learning_rate": 0.00020583456425406202,
387
+ "loss": 0.2476,
388
+ "step": 9000
389
+ },
390
+ {
391
+ "epoch": 11.67,
392
+ "learning_rate": 0.00020361890694239288,
393
+ "loss": 0.2491,
394
+ "step": 9200
395
+ },
396
+ {
397
+ "epoch": 11.93,
398
+ "learning_rate": 0.00020140324963072376,
399
+ "loss": 0.2385,
400
+ "step": 9400
401
+ },
402
+ {
403
+ "epoch": 12.0,
404
+ "eval_cer": 0.038024186270380844,
405
+ "eval_loss": 0.24045319855213165,
406
+ "eval_runtime": 40.4554,
407
+ "eval_samples_per_second": 38.981,
408
+ "eval_steps_per_second": 4.894,
409
+ "eval_wer": 0.1352255448555499,
410
+ "step": 9456
411
+ },
412
+ {
413
+ "epoch": 12.18,
414
+ "learning_rate": 0.00019918759231905465,
415
+ "loss": 0.2425,
416
+ "step": 9600
417
+ },
418
+ {
419
+ "epoch": 12.44,
420
+ "learning_rate": 0.0001969719350073855,
421
+ "loss": 0.2223,
422
+ "step": 9800
423
+ },
424
+ {
425
+ "epoch": 12.69,
426
+ "learning_rate": 0.0001947562776957164,
427
+ "loss": 0.2448,
428
+ "step": 10000
429
+ },
430
+ {
431
+ "epoch": 12.94,
432
+ "learning_rate": 0.00019254062038404727,
433
+ "loss": 0.216,
434
+ "step": 10200
435
+ },
436
+ {
437
+ "epoch": 13.0,
438
+ "eval_cer": 0.035657702103764316,
439
+ "eval_loss": 0.2175922691822052,
440
+ "eval_runtime": 40.4091,
441
+ "eval_samples_per_second": 39.026,
442
+ "eval_steps_per_second": 4.9,
443
+ "eval_wer": 0.12579827673593513,
444
+ "step": 10244
445
+ },
446
+ {
447
+ "epoch": 13.2,
448
+ "learning_rate": 0.0001903249630723781,
449
+ "loss": 0.2153,
450
+ "step": 10400
451
+ },
452
+ {
453
+ "epoch": 13.45,
454
+ "learning_rate": 0.00018810930576070899,
455
+ "loss": 0.2215,
456
+ "step": 10600
457
+ },
458
+ {
459
+ "epoch": 13.71,
460
+ "learning_rate": 0.00018589364844903987,
461
+ "loss": 0.2102,
462
+ "step": 10800
463
+ },
464
+ {
465
+ "epoch": 13.96,
466
+ "learning_rate": 0.00018367799113737073,
467
+ "loss": 0.2197,
468
+ "step": 11000
469
+ },
470
+ {
471
+ "epoch": 14.0,
472
+ "eval_cer": 0.03569781200489341,
473
+ "eval_loss": 0.21506036818027496,
474
+ "eval_runtime": 40.487,
475
+ "eval_samples_per_second": 38.951,
476
+ "eval_steps_per_second": 4.89,
477
+ "eval_wer": 0.12630511910795741,
478
+ "step": 11032
479
+ },
480
+ {
481
+ "epoch": 14.21,
482
+ "learning_rate": 0.0001814623338257016,
483
+ "loss": 0.1977,
484
+ "step": 11200
485
+ },
486
+ {
487
+ "epoch": 14.47,
488
+ "learning_rate": 0.0001792466765140325,
489
+ "loss": 0.1966,
490
+ "step": 11400
491
+ },
492
+ {
493
+ "epoch": 14.72,
494
+ "learning_rate": 0.00017703101920236335,
495
+ "loss": 0.1966,
496
+ "step": 11600
497
+ },
498
+ {
499
+ "epoch": 14.97,
500
+ "learning_rate": 0.00017481536189069424,
501
+ "loss": 0.2036,
502
+ "step": 11800
503
+ },
504
+ {
505
+ "epoch": 15.0,
506
+ "eval_cer": 0.036981328841024404,
507
+ "eval_loss": 0.21347209811210632,
508
+ "eval_runtime": 40.2901,
509
+ "eval_samples_per_second": 39.141,
510
+ "eval_steps_per_second": 4.914,
511
+ "eval_wer": 0.12965027876330462,
512
+ "step": 11820
513
+ },
514
+ {
515
+ "epoch": 15.23,
516
+ "learning_rate": 0.00017259970457902512,
517
+ "loss": 0.178,
518
+ "step": 12000
519
+ },
520
+ {
521
+ "epoch": 15.48,
522
+ "learning_rate": 0.00017038404726735595,
523
+ "loss": 0.1952,
524
+ "step": 12200
525
+ },
526
+ {
527
+ "epoch": 15.74,
528
+ "learning_rate": 0.00016816838995568683,
529
+ "loss": 0.1791,
530
+ "step": 12400
531
+ },
532
+ {
533
+ "epoch": 15.99,
534
+ "learning_rate": 0.0001659527326440177,
535
+ "loss": 0.1902,
536
+ "step": 12600
537
+ },
538
+ {
539
+ "epoch": 16.0,
540
+ "eval_cer": 0.037302208050057156,
541
+ "eval_loss": 0.22892530262470245,
542
+ "eval_runtime": 40.2075,
543
+ "eval_samples_per_second": 39.222,
544
+ "eval_steps_per_second": 4.924,
545
+ "eval_wer": 0.13127217435377597,
546
+ "step": 12608
547
+ },
548
+ {
549
+ "epoch": 16.24,
550
+ "learning_rate": 0.00016373707533234858,
551
+ "loss": 0.1775,
552
+ "step": 12800
553
+ },
554
+ {
555
+ "epoch": 16.5,
556
+ "learning_rate": 0.00016152141802067946,
557
+ "loss": 0.1704,
558
+ "step": 13000
559
+ },
560
+ {
561
+ "epoch": 16.75,
562
+ "learning_rate": 0.00015930576070901032,
563
+ "loss": 0.1753,
564
+ "step": 13200
565
+ },
566
+ {
567
+ "epoch": 17.0,
568
+ "eval_cer": 0.03613902091731344,
569
+ "eval_loss": 0.23591692745685577,
570
+ "eval_runtime": 41.9181,
571
+ "eval_samples_per_second": 37.621,
572
+ "eval_steps_per_second": 4.723,
573
+ "eval_wer": 0.12083122149011657,
574
+ "step": 13396
575
+ },
576
+ {
577
+ "epoch": 17.01,
578
+ "learning_rate": 0.0001570901033973412,
579
+ "loss": 0.1875,
580
+ "step": 13400
581
+ },
582
+ {
583
+ "epoch": 17.26,
584
+ "learning_rate": 0.00015487444608567209,
585
+ "loss": 0.1639,
586
+ "step": 13600
587
+ },
588
+ {
589
+ "epoch": 17.51,
590
+ "learning_rate": 0.00015265878877400292,
591
+ "loss": 0.1637,
592
+ "step": 13800
593
+ },
594
+ {
595
+ "epoch": 17.77,
596
+ "learning_rate": 0.0001504431314623338,
597
+ "loss": 0.1679,
598
+ "step": 14000
599
+ },
600
+ {
601
+ "epoch": 18.0,
602
+ "eval_cer": 0.03790385656699356,
603
+ "eval_loss": 0.22805896401405334,
604
+ "eval_runtime": 40.624,
605
+ "eval_samples_per_second": 38.819,
606
+ "eval_steps_per_second": 4.874,
607
+ "eval_wer": 0.12103395843892549,
608
+ "step": 14184
609
+ },
610
+ {
611
+ "epoch": 18.02,
612
+ "learning_rate": 0.00014822747415066468,
613
+ "loss": 0.1639,
614
+ "step": 14200
615
+ },
616
+ {
617
+ "epoch": 18.27,
618
+ "learning_rate": 0.00014601181683899557,
619
+ "loss": 0.1567,
620
+ "step": 14400
621
+ },
622
+ {
623
+ "epoch": 18.53,
624
+ "learning_rate": 0.00014379615952732642,
625
+ "loss": 0.1548,
626
+ "step": 14600
627
+ },
628
+ {
629
+ "epoch": 18.78,
630
+ "learning_rate": 0.00014158050221565728,
631
+ "loss": 0.1558,
632
+ "step": 14800
633
+ },
634
+ {
635
+ "epoch": 19.0,
636
+ "eval_cer": 0.035376932795860655,
637
+ "eval_loss": 0.23306047916412354,
638
+ "eval_runtime": 40.2559,
639
+ "eval_samples_per_second": 39.174,
640
+ "eval_steps_per_second": 4.919,
641
+ "eval_wer": 0.11910795742524075,
642
+ "step": 14972
643
+ },
644
+ {
645
+ "epoch": 19.04,
646
+ "learning_rate": 0.00013936484490398817,
647
+ "loss": 0.1471,
648
+ "step": 15000
649
+ },
650
+ {
651
+ "epoch": 19.29,
652
+ "learning_rate": 0.00013714918759231905,
653
+ "loss": 0.1493,
654
+ "step": 15200
655
+ },
656
+ {
657
+ "epoch": 19.54,
658
+ "learning_rate": 0.0001349335302806499,
659
+ "loss": 0.1462,
660
+ "step": 15400
661
+ },
662
+ {
663
+ "epoch": 19.8,
664
+ "learning_rate": 0.0001327178729689808,
665
+ "loss": 0.1411,
666
+ "step": 15600
667
+ },
668
+ {
669
+ "epoch": 20.0,
670
+ "eval_cer": 0.03383270160239055,
671
+ "eval_loss": 0.23826096951961517,
672
+ "eval_runtime": 40.4774,
673
+ "eval_samples_per_second": 38.96,
674
+ "eval_steps_per_second": 4.892,
675
+ "eval_wer": 0.11525595539787126,
676
+ "step": 15760
677
+ },
678
+ {
679
+ "epoch": 20.05,
680
+ "learning_rate": 0.00013050221565731165,
681
+ "loss": 0.1495,
682
+ "step": 15800
683
+ },
684
+ {
685
+ "epoch": 20.3,
686
+ "learning_rate": 0.00012828655834564253,
687
+ "loss": 0.141,
688
+ "step": 16000
689
+ },
690
+ {
691
+ "epoch": 20.56,
692
+ "learning_rate": 0.00012607090103397342,
693
+ "loss": 0.1279,
694
+ "step": 16200
695
+ },
696
+ {
697
+ "epoch": 20.81,
698
+ "learning_rate": 0.00012385524372230427,
699
+ "loss": 0.1438,
700
+ "step": 16400
701
+ },
702
+ {
703
+ "epoch": 21.0,
704
+ "eval_cer": 0.033652207047309625,
705
+ "eval_loss": 0.2469082772731781,
706
+ "eval_runtime": 40.7985,
707
+ "eval_samples_per_second": 38.653,
708
+ "eval_steps_per_second": 4.853,
709
+ "eval_wer": 0.11373542828180436,
710
+ "step": 16548
711
+ },
712
+ {
713
+ "epoch": 21.07,
714
+ "learning_rate": 0.00012163958641063514,
715
+ "loss": 0.1426,
716
+ "step": 16600
717
+ },
718
+ {
719
+ "epoch": 21.32,
720
+ "learning_rate": 0.00011942392909896601,
721
+ "loss": 0.1313,
722
+ "step": 16800
723
+ },
724
+ {
725
+ "epoch": 21.57,
726
+ "learning_rate": 0.0001172082717872969,
727
+ "loss": 0.1349,
728
+ "step": 17000
729
+ },
730
+ {
731
+ "epoch": 21.83,
732
+ "learning_rate": 0.00011499261447562776,
733
+ "loss": 0.1262,
734
+ "step": 17200
735
+ },
736
+ {
737
+ "epoch": 22.0,
738
+ "eval_cer": 0.03353187734392235,
739
+ "eval_loss": 0.25218185782432556,
740
+ "eval_runtime": 40.3798,
741
+ "eval_samples_per_second": 39.054,
742
+ "eval_steps_per_second": 4.903,
743
+ "eval_wer": 0.11211353269133299,
744
+ "step": 17336
745
+ },
746
+ {
747
+ "epoch": 22.08,
748
+ "learning_rate": 0.00011277695716395863,
749
+ "loss": 0.1223,
750
+ "step": 17400
751
+ },
752
+ {
753
+ "epoch": 22.33,
754
+ "learning_rate": 0.00011056129985228951,
755
+ "loss": 0.1162,
756
+ "step": 17600
757
+ },
758
+ {
759
+ "epoch": 22.59,
760
+ "learning_rate": 0.00010834564254062038,
761
+ "loss": 0.1181,
762
+ "step": 17800
763
+ },
764
+ {
765
+ "epoch": 22.84,
766
+ "learning_rate": 0.00010612998522895124,
767
+ "loss": 0.1109,
768
+ "step": 18000
769
+ },
770
+ {
771
+ "epoch": 23.0,
772
+ "eval_cer": 0.032007701101016785,
773
+ "eval_loss": 0.2507190406322479,
774
+ "eval_runtime": 40.4365,
775
+ "eval_samples_per_second": 38.999,
776
+ "eval_steps_per_second": 4.897,
777
+ "eval_wer": 0.10562595032944753,
778
+ "step": 18124
779
+ },
780
+ {
781
+ "epoch": 23.1,
782
+ "learning_rate": 0.00010391432791728212,
783
+ "loss": 0.1212,
784
+ "step": 18200
785
+ },
786
+ {
787
+ "epoch": 23.35,
788
+ "learning_rate": 0.00010169867060561299,
789
+ "loss": 0.1089,
790
+ "step": 18400
791
+ },
792
+ {
793
+ "epoch": 23.6,
794
+ "learning_rate": 9.948301329394386e-05,
795
+ "loss": 0.1055,
796
+ "step": 18600
797
+ },
798
+ {
799
+ "epoch": 23.86,
800
+ "learning_rate": 9.726735598227472e-05,
801
+ "loss": 0.122,
802
+ "step": 18800
803
+ },
804
+ {
805
+ "epoch": 24.0,
806
+ "eval_cer": 0.03224836050779135,
807
+ "eval_loss": 0.2498846799135208,
808
+ "eval_runtime": 40.3499,
809
+ "eval_samples_per_second": 39.083,
810
+ "eval_steps_per_second": 4.907,
811
+ "eval_wer": 0.10876837303598581,
812
+ "step": 18912
813
+ },
814
+ {
815
+ "epoch": 24.11,
816
+ "learning_rate": 9.50516986706056e-05,
817
+ "loss": 0.1089,
818
+ "step": 19000
819
+ },
820
+ {
821
+ "epoch": 24.37,
822
+ "learning_rate": 9.283604135893648e-05,
823
+ "loss": 0.1053,
824
+ "step": 19200
825
+ },
826
+ {
827
+ "epoch": 24.62,
828
+ "learning_rate": 9.062038404726735e-05,
829
+ "loss": 0.1104,
830
+ "step": 19400
831
+ },
832
+ {
833
+ "epoch": 24.87,
834
+ "learning_rate": 8.840472673559823e-05,
835
+ "loss": 0.1012,
836
+ "step": 19600
837
+ },
838
+ {
839
+ "epoch": 25.0,
840
+ "eval_cer": 0.031045063473918538,
841
+ "eval_loss": 0.24705451726913452,
842
+ "eval_runtime": 40.2856,
843
+ "eval_samples_per_second": 39.146,
844
+ "eval_steps_per_second": 4.915,
845
+ "eval_wer": 0.10258489609731374,
846
+ "step": 19700
847
+ },
848
+ {
849
+ "epoch": 25.13,
850
+ "learning_rate": 8.618906942392909e-05,
851
+ "loss": 0.1187,
852
+ "step": 19800
853
+ },
854
+ {
855
+ "epoch": 25.38,
856
+ "learning_rate": 8.397341211225996e-05,
857
+ "loss": 0.1013,
858
+ "step": 20000
859
+ },
860
+ {
861
+ "epoch": 25.63,
862
+ "learning_rate": 8.175775480059084e-05,
863
+ "loss": 0.1013,
864
+ "step": 20200
865
+ },
866
+ {
867
+ "epoch": 25.89,
868
+ "learning_rate": 7.954209748892171e-05,
869
+ "loss": 0.1005,
870
+ "step": 20400
871
+ },
872
+ {
873
+ "epoch": 26.0,
874
+ "eval_cer": 0.03116539317730582,
875
+ "eval_loss": 0.25858306884765625,
876
+ "eval_runtime": 40.7124,
877
+ "eval_samples_per_second": 38.735,
878
+ "eval_steps_per_second": 4.863,
879
+ "eval_wer": 0.1042067916877851,
880
+ "step": 20488
881
+ },
882
+ {
883
+ "epoch": 26.14,
884
+ "learning_rate": 7.732644017725257e-05,
885
+ "loss": 0.0904,
886
+ "step": 20600
887
+ },
888
+ {
889
+ "epoch": 26.4,
890
+ "learning_rate": 7.511078286558345e-05,
891
+ "loss": 0.0923,
892
+ "step": 20800
893
+ },
894
+ {
895
+ "epoch": 26.65,
896
+ "learning_rate": 7.289512555391432e-05,
897
+ "loss": 0.0956,
898
+ "step": 21000
899
+ },
900
+ {
901
+ "epoch": 26.9,
902
+ "learning_rate": 7.06794682422452e-05,
903
+ "loss": 0.0902,
904
+ "step": 21200
905
+ },
906
+ {
907
+ "epoch": 27.0,
908
+ "eval_cer": 0.030563744660369412,
909
+ "eval_loss": 0.25710704922676086,
910
+ "eval_runtime": 40.3222,
911
+ "eval_samples_per_second": 39.11,
912
+ "eval_steps_per_second": 4.91,
913
+ "eval_wer": 0.10146984287886468,
914
+ "step": 21276
915
+ },
916
+ {
917
+ "epoch": 27.16,
918
+ "learning_rate": 6.846381093057607e-05,
919
+ "loss": 0.0812,
920
+ "step": 21400
921
+ },
922
+ {
923
+ "epoch": 27.41,
924
+ "learning_rate": 6.624815361890694e-05,
925
+ "loss": 0.0866,
926
+ "step": 21600
927
+ },
928
+ {
929
+ "epoch": 27.66,
930
+ "learning_rate": 6.40324963072378e-05,
931
+ "loss": 0.0907,
932
+ "step": 21800
933
+ },
934
+ {
935
+ "epoch": 27.92,
936
+ "learning_rate": 6.181683899556868e-05,
937
+ "loss": 0.0829,
938
+ "step": 22000
939
+ },
940
+ {
941
+ "epoch": 28.0,
942
+ "eval_cer": 0.03272967932134047,
943
+ "eval_loss": 0.25568026304244995,
944
+ "eval_runtime": 40.5085,
945
+ "eval_samples_per_second": 38.93,
946
+ "eval_steps_per_second": 4.888,
947
+ "eval_wer": 0.1036999493157628,
948
+ "step": 22064
949
+ },
950
+ {
951
+ "epoch": 28.17,
952
+ "learning_rate": 5.960118168389955e-05,
953
+ "loss": 0.0857,
954
+ "step": 22200
955
+ },
956
+ {
957
+ "epoch": 28.43,
958
+ "learning_rate": 5.7385524372230425e-05,
959
+ "loss": 0.0826,
960
+ "step": 22400
961
+ },
962
+ {
963
+ "epoch": 28.68,
964
+ "learning_rate": 5.5169867060561295e-05,
965
+ "loss": 0.0817,
966
+ "step": 22600
967
+ },
968
+ {
969
+ "epoch": 28.93,
970
+ "learning_rate": 5.2954209748892166e-05,
971
+ "loss": 0.0773,
972
+ "step": 22800
973
+ },
974
+ {
975
+ "epoch": 29.0,
976
+ "eval_cer": 0.03084451396827307,
977
+ "eval_loss": 0.25824475288391113,
978
+ "eval_runtime": 40.434,
979
+ "eval_samples_per_second": 39.002,
980
+ "eval_steps_per_second": 4.897,
981
+ "eval_wer": 0.09761784085149519,
982
+ "step": 22852
983
+ },
984
+ {
985
+ "epoch": 29.19,
986
+ "learning_rate": 5.073855243722304e-05,
987
+ "loss": 0.0888,
988
+ "step": 23000
989
+ },
990
+ {
991
+ "epoch": 29.44,
992
+ "learning_rate": 4.852289512555391e-05,
993
+ "loss": 0.0782,
994
+ "step": 23200
995
+ },
996
+ {
997
+ "epoch": 29.69,
998
+ "learning_rate": 4.6307237813884784e-05,
999
+ "loss": 0.0757,
1000
+ "step": 23400
1001
+ },
1002
+ {
1003
+ "epoch": 29.95,
1004
+ "learning_rate": 4.4091580502215655e-05,
1005
+ "loss": 0.0795,
1006
+ "step": 23600
1007
+ },
1008
+ {
1009
+ "epoch": 30.0,
1010
+ "eval_cer": 0.02968132683552935,
1011
+ "eval_loss": 0.25763553380966187,
1012
+ "eval_runtime": 40.3436,
1013
+ "eval_samples_per_second": 39.089,
1014
+ "eval_steps_per_second": 4.908,
1015
+ "eval_wer": 0.09670552458185504,
1016
+ "step": 23640
1017
+ },
1018
+ {
1019
+ "epoch": 30.2,
1020
+ "learning_rate": 4.1875923190546526e-05,
1021
+ "loss": 0.0678,
1022
+ "step": 23800
1023
+ },
1024
+ {
1025
+ "epoch": 30.46,
1026
+ "learning_rate": 3.9660265878877396e-05,
1027
+ "loss": 0.0708,
1028
+ "step": 24000
1029
+ },
1030
+ {
1031
+ "epoch": 30.71,
1032
+ "learning_rate": 3.744460856720827e-05,
1033
+ "loss": 0.0764,
1034
+ "step": 24200
1035
+ },
1036
+ {
1037
+ "epoch": 30.96,
1038
+ "learning_rate": 3.522895125553914e-05,
1039
+ "loss": 0.0737,
1040
+ "step": 24400
1041
+ },
1042
+ {
1043
+ "epoch": 31.0,
1044
+ "eval_cer": 0.02891923871407657,
1045
+ "eval_loss": 0.2654246985912323,
1046
+ "eval_runtime": 40.3564,
1047
+ "eval_samples_per_second": 39.077,
1048
+ "eval_steps_per_second": 4.906,
1049
+ "eval_wer": 0.09508362899138367,
1050
+ "step": 24428
1051
+ },
1052
+ {
1053
+ "epoch": 31.22,
1054
+ "learning_rate": 3.301329394387001e-05,
1055
+ "loss": 0.0688,
1056
+ "step": 24600
1057
+ },
1058
+ {
1059
+ "epoch": 31.47,
1060
+ "learning_rate": 3.0797636632200885e-05,
1061
+ "loss": 0.0669,
1062
+ "step": 24800
1063
+ },
1064
+ {
1065
+ "epoch": 31.73,
1066
+ "learning_rate": 2.8581979320531756e-05,
1067
+ "loss": 0.0679,
1068
+ "step": 25000
1069
+ },
1070
+ {
1071
+ "epoch": 31.98,
1072
+ "learning_rate": 2.6366322008862626e-05,
1073
+ "loss": 0.0744,
1074
+ "step": 25200
1075
+ },
1076
+ {
1077
+ "epoch": 32.0,
1078
+ "eval_cer": 0.029741491687222992,
1079
+ "eval_loss": 0.26390764117240906,
1080
+ "eval_runtime": 40.4656,
1081
+ "eval_samples_per_second": 38.971,
1082
+ "eval_steps_per_second": 4.893,
1083
+ "eval_wer": 0.09640141915864166,
1084
+ "step": 25216
1085
+ },
1086
+ {
1087
+ "epoch": 32.23,
1088
+ "learning_rate": 2.4150664697193497e-05,
1089
+ "loss": 0.0618,
1090
+ "step": 25400
1091
+ },
1092
+ {
1093
+ "epoch": 32.49,
1094
+ "learning_rate": 2.1935007385524368e-05,
1095
+ "loss": 0.0675,
1096
+ "step": 25600
1097
+ },
1098
+ {
1099
+ "epoch": 32.74,
1100
+ "learning_rate": 1.971935007385524e-05,
1101
+ "loss": 0.0637,
1102
+ "step": 25800
1103
+ },
1104
+ {
1105
+ "epoch": 32.99,
1106
+ "learning_rate": 1.7503692762186116e-05,
1107
+ "loss": 0.0656,
1108
+ "step": 26000
1109
+ },
1110
+ {
1111
+ "epoch": 33.0,
1112
+ "eval_cer": 0.029300282774802962,
1113
+ "eval_loss": 0.26851221919059753,
1114
+ "eval_runtime": 40.4956,
1115
+ "eval_samples_per_second": 38.943,
1116
+ "eval_steps_per_second": 4.889,
1117
+ "eval_wer": 0.09488089204257476,
1118
+ "step": 26004
1119
+ },
1120
+ {
1121
+ "epoch": 33.25,
1122
+ "learning_rate": 1.5288035450516986e-05,
1123
+ "loss": 0.0639,
1124
+ "step": 26200
1125
+ },
1126
+ {
1127
+ "epoch": 33.5,
1128
+ "learning_rate": 1.3072378138847857e-05,
1129
+ "loss": 0.0615,
1130
+ "step": 26400
1131
+ },
1132
+ {
1133
+ "epoch": 33.76,
1134
+ "learning_rate": 1.0856720827178729e-05,
1135
+ "loss": 0.0661,
1136
+ "step": 26600
1137
+ },
1138
+ {
1139
+ "epoch": 34.0,
1140
+ "eval_cer": 0.029079678318592945,
1141
+ "eval_loss": 0.2691967487335205,
1142
+ "eval_runtime": 40.2387,
1143
+ "eval_samples_per_second": 39.191,
1144
+ "eval_steps_per_second": 4.921,
1145
+ "eval_wer": 0.0937658388241257,
1146
+ "step": 26792
1147
+ },
1148
+ {
1149
+ "epoch": 34.01,
1150
+ "learning_rate": 8.6410635155096e-06,
1151
+ "loss": 0.0608,
1152
+ "step": 26800
1153
+ },
1154
+ {
1155
+ "epoch": 34.26,
1156
+ "learning_rate": 6.425406203840472e-06,
1157
+ "loss": 0.0637,
1158
+ "step": 27000
1159
+ },
1160
+ {
1161
+ "epoch": 34.52,
1162
+ "learning_rate": 4.209748892171343e-06,
1163
+ "loss": 0.057,
1164
+ "step": 27200
1165
+ },
1166
+ {
1167
+ "epoch": 34.77,
1168
+ "learning_rate": 1.9940915805022156e-06,
1169
+ "loss": 0.0603,
1170
+ "step": 27400
1171
+ },
1172
+ {
1173
+ "epoch": 35.0,
1174
+ "eval_cer": 0.028899183763512023,
1175
+ "eval_loss": 0.26925861835479736,
1176
+ "eval_runtime": 40.4005,
1177
+ "eval_samples_per_second": 39.034,
1178
+ "eval_steps_per_second": 4.901,
1179
+ "eval_wer": 0.09356310187531677,
1180
+ "step": 27580
1181
+ }
1182
+ ],
1183
+ "max_steps": 27580,
1184
+ "num_train_epochs": 35,
1185
+ "total_flos": 3.481960163555136e+19,
1186
+ "trial_name": null,
1187
+ "trial_params": null
1188
+ }
checkpoint-27580/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c92f16cf911fa8458cf07acc2550bc466107aef785e00031d56f06c4c769ab7c
3
+ size 3259
preprocessor_config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_normalize": true,
3
+ "feature_extractor_type": "Wav2Vec2FeatureExtractor",
4
+ "feature_size": 1,
5
+ "padding_side": "right",
6
+ "padding_value": 0.0,
7
+ "processor_class": "Wav2Vec2Processor",
8
+ "return_attention_mask": true,
9
+ "sampling_rate": 16000
10
+ }
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "[UNK]", "pad_token": "[PAD]"}
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"unk_token": "[UNK]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|", "replace_word_delimiter_char": " ", "tokenizer_class": "Wav2Vec2CTCTokenizer", "processor_class": "Wav2Vec2Processor"}
vocab.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"|": 0, "a": 1, "b": 2, "c": 3, "d": 4, "e": 5, "f": 6, "g": 7, "h": 8, "i": 9, "j": 10, "k": 11, "l": 12, "m": 13, "n": 14, "o": 15, "p": 16, "r": 17, "s": 18, "t": 19, "u": 20, "v": 21, "x": 22, "y": 23, "z": 24, "à": 25, "á": 26, "æ": 27, "ç": 28, "é": 29, "ì": 30, "í": 31, "ò": 32, "ó": 33, "ø": 34, "ú": 35, "ü": 36, "ý": 37, "č": 38, "ļ": 39, "ņ": 40, "ş": 41, "š": 42, "ž": 43, "ǘ": 44, "ǧ": 45, "ǵ": 46, "ǽ": 47, "ǿ": 48, "ό": 49, "[UNK]": 50, "[PAD]": 51}