Hugging Face's logo

DewiBrynJones
/
wav2vec2-xlsr-53-ft-btb-ccv-cy

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
DewiBrynJones commited on
Commit
3502e52
•
1 Parent(s): 1bb155f

Model save

Browse files
Files changed (1) hide show
  1. README.md +106 -258
README.md CHANGED
@@ -2,8 +2,6 @@
2
  license: apache-2.0
3
  base_model: facebook/wav2vec2-large-xlsr-53
4
  tags:
5
- - automatic-speech-recognition
6
- - DewiBrynJones/banc-trawsgrifiadau-bangor-clean-with-ccv
7
  - generated_from_trainer
8
  metrics:
9
  - wer
@@ -17,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  # wav2vec2-xlsr-53-ft-btb-ccv-cy
19
 
20
- This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the DEWIBRYNJONES/BANC-TRAWSGRIFIADAU-BANGOR-CLEAN-WITH-CCV - DEFAULT dataset.
21
  It achieves the following results on the evaluation set:
22
- - Loss: 0.4212
23
- - Wer: 0.3394
24
 
25
  ## Model description
26
 
@@ -46,263 +44,113 @@ The following hyperparameters were used during training:
46
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
  - lr_scheduler_type: linear
48
  - lr_scheduler_warmup_steps: 500
49
- - training_steps: 50000
50
  - mixed_precision_training: Native AMP
51
 
52
  ### Training results
53
 
54
- | Training Loss | Epoch | Step | Validation Loss | Wer |
55
- |:-------------:|:------:|:-----:|:---------------:|:------:|
56
- | No log | 0.0079 | 200 | 3.1755 | 1.0 |
57
- | No log | 0.0157 | 400 | 2.8797 | 1.0 |
58
- | 4.8076 | 0.0236 | 600 | 1.4754 | 0.9040 |
59
- | 4.8076 | 0.0314 | 800 | 1.2526 | 0.8548 |
60
- | 1.1153 | 0.0393 | 1000 | 1.1312 | 0.7888 |
61
- | 1.1153 | 0.0472 | 1200 | 1.0896 | 0.7735 |
62
- | 1.1153 | 0.0550 | 1400 | 1.0288 | 0.7571 |
63
- | 0.8282 | 0.0629 | 1600 | 0.9748 | 0.7254 |
64
- | 0.8282 | 0.0707 | 1800 | 0.9748 | 0.7195 |
65
- | 0.7335 | 0.0786 | 2000 | 0.9883 | 0.7144 |
66
- | 0.7335 | 0.0864 | 2200 | 0.9365 | 0.7062 |
67
- | 0.7335 | 0.0943 | 2400 | 0.9165 | 0.6802 |
68
- | 0.6931 | 0.1022 | 2600 | 0.9170 | 0.6774 |
69
- | 0.6931 | 0.1100 | 2800 | 0.9080 | 0.6692 |
70
- | 0.67 | 0.1179 | 3000 | 0.8609 | 0.6622 |
71
- | 0.67 | 0.1257 | 3200 | 0.8863 | 0.6659 |
72
- | 0.67 | 0.1336 | 3400 | 0.8670 | 0.6611 |
73
- | 0.6282 | 0.1415 | 3600 | 0.8718 | 0.6820 |
74
- | 0.6282 | 0.1493 | 3800 | 0.8617 | 0.6482 |
75
- | 0.6311 | 0.1572 | 4000 | 0.8505 | 0.6597 |
76
- | 0.6311 | 0.1650 | 4200 | 0.8290 | 0.6292 |
77
- | 0.6311 | 0.1729 | 4400 | 0.8300 | 0.6568 |
78
- | 0.615 | 0.1808 | 4600 | 0.8008 | 0.6109 |
79
- | 0.615 | 0.1886 | 4800 | 0.8039 | 0.6045 |
80
- | 0.5785 | 0.1965 | 5000 | 0.7908 | 0.6072 |
81
- | 0.5785 | 0.2043 | 5200 | 0.7868 | 0.6037 |
82
- | 0.5785 | 0.2122 | 5400 | 0.7710 | 0.5988 |
83
- | 0.5928 | 0.2200 | 5600 | 0.7662 | 0.5747 |
84
- | 0.5928 | 0.2279 | 5800 | 0.7673 | 0.5946 |
85
- | 0.5799 | 0.2358 | 6000 | 0.7804 | 0.5990 |
86
- | 0.5799 | 0.2436 | 6200 | 0.7587 | 0.5781 |
87
- | 0.5799 | 0.2515 | 6400 | 0.7495 | 0.5729 |
88
- | 0.5534 | 0.2593 | 6600 | 0.7537 | 0.5769 |
89
- | 0.5534 | 0.2672 | 6800 | 0.7662 | 0.5812 |
90
- | 0.5592 | 0.2751 | 7000 | 0.7571 | 0.5608 |
91
- | 0.5592 | 0.2829 | 7200 | 0.7475 | 0.5635 |
92
- | 0.5592 | 0.2908 | 7400 | 0.7267 | 0.5592 |
93
- | 0.5512 | 0.2986 | 7600 | 0.7362 | 0.5588 |
94
- | 0.5512 | 0.3065 | 7800 | 0.7624 | 0.5811 |
95
- | 0.54 | 0.3144 | 8000 | 0.7657 | 0.5622 |
96
- | 0.54 | 0.3222 | 8200 | 0.7301 | 0.5454 |
97
- | 0.54 | 0.3301 | 8400 | 0.7118 | 0.5382 |
98
- | 0.531 | 0.3379 | 8600 | 0.7253 | 0.5482 |
99
- | 0.531 | 0.3458 | 8800 | 0.7305 | 0.5583 |
100
- | 0.5406 | 0.3536 | 9000 | 0.7098 | 0.5520 |
101
- | 0.5406 | 0.3615 | 9200 | 0.6987 | 0.5372 |
102
- | 0.5406 | 0.3694 | 9400 | 0.7045 | 0.5473 |
103
- | 0.5252 | 0.3772 | 9600 | 0.7025 | 0.5333 |
104
- | 0.5252 | 0.3851 | 9800 | 0.7077 | 0.5462 |
105
- | 0.5156 | 0.3929 | 10000 | 0.7007 | 0.5383 |
106
- | 0.5156 | 0.4008 | 10200 | 0.6947 | 0.5426 |
107
- | 0.5156 | 0.4087 | 10400 | 0.7128 | 0.5361 |
108
- | 0.5181 | 0.4165 | 10600 | 0.6945 | 0.5276 |
109
- | 0.5181 | 0.4244 | 10800 | 0.6986 | 0.5311 |
110
- | 0.5096 | 0.4322 | 11000 | 0.6910 | 0.5293 |
111
- | 0.5096 | 0.4401 | 11200 | 0.6855 | 0.5281 |
112
- | 0.5096 | 0.4480 | 11400 | 0.6890 | 0.5262 |
113
- | 0.5099 | 0.4558 | 11600 | 0.6776 | 0.5298 |
114
- | 0.5099 | 0.4637 | 11800 | 0.6817 | 0.5142 |
115
- | 0.481 | 0.4715 | 12000 | 0.6749 | 0.5318 |
116
- | 0.481 | 0.4794 | 12200 | 0.6648 | 0.5132 |
117
- | 0.481 | 0.4872 | 12400 | 0.6659 | 0.5151 |
118
- | 0.4899 | 0.4951 | 12600 | 0.6744 | 0.5207 |
119
- | 0.4899 | 0.5030 | 12800 | 0.6733 | 0.5229 |
120
- | 0.492 | 0.5108 | 13000 | 0.6457 | 0.5042 |
121
- | 0.492 | 0.5187 | 13200 | 0.6671 | 0.5259 |
122
- | 0.492 | 0.5265 | 13400 | 0.6544 | 0.5179 |
123
- | 0.4782 | 0.5344 | 13600 | 0.6561 | 0.5054 |
124
- | 0.4782 | 0.5423 | 13800 | 0.6382 | 0.4992 |
125
- | 0.507 | 0.5501 | 14000 | 0.6555 | 0.5044 |
126
- | 0.507 | 0.5580 | 14200 | 0.6400 | 0.4955 |
127
- | 0.507 | 0.5658 | 14400 | 0.6468 | 0.5014 |
128
- | 0.4899 | 0.5737 | 14600 | 0.6371 | 0.4972 |
129
- | 0.4899 | 0.5816 | 14800 | 0.6356 | 0.5026 |
130
- | 0.4677 | 0.5894 | 15000 | 0.6386 | 0.5021 |
131
- | 0.4677 | 0.5973 | 15200 | 0.6653 | 0.5190 |
132
- | 0.4677 | 0.6051 | 15400 | 0.6443 | 0.4998 |
133
- | 0.461 | 0.6130 | 15600 | 0.6210 | 0.4897 |
134
- | 0.461 | 0.6208 | 15800 | 0.6396 | 0.5012 |
135
- | 0.4528 | 0.6287 | 16000 | 0.6226 | 0.4933 |
136
- | 0.4528 | 0.6366 | 16200 | 0.6254 | 0.4937 |
137
- | 0.4528 | 0.6444 | 16400 | 0.6289 | 0.5013 |
138
- | 0.451 | 0.6523 | 16600 | 0.6230 | 0.4972 |
139
- | 0.451 | 0.6601 | 16800 | 0.6153 | 0.4957 |
140
- | 0.4444 | 0.6680 | 17000 | 0.6033 | 0.4748 |
141
- | 0.4444 | 0.6759 | 17200 | 0.6154 | 0.4771 |
142
- | 0.4444 | 0.6837 | 17400 | 0.6170 | 0.4859 |
143
- | 0.4357 | 0.6916 | 17600 | 0.6021 | 0.4815 |
144
- | 0.4357 | 0.6994 | 17800 | 0.6071 | 0.4730 |
145
- | 0.4413 | 0.7073 | 18000 | 0.6042 | 0.4766 |
146
- | 0.4413 | 0.7152 | 18200 | 0.6119 | 0.4838 |
147
- | 0.4413 | 0.7230 | 18400 | 0.6046 | 0.4757 |
148
- | 0.4375 | 0.7309 | 18600 | 0.6081 | 0.4833 |
149
- | 0.4375 | 0.7387 | 18800 | 0.6008 | 0.4728 |
150
- | 0.4329 | 0.7466 | 19000 | 0.6008 | 0.4692 |
151
- | 0.4329 | 0.7545 | 19200 | 0.6007 | 0.4822 |
152
- | 0.4329 | 0.7623 | 19400 | 0.5838 | 0.4658 |
153
- | 0.4318 | 0.7702 | 19600 | 0.6008 | 0.4652 |
154
- | 0.4318 | 0.7780 | 19800 | 0.5919 | 0.4665 |
155
- | 0.4265 | 0.7859 | 20000 | 0.5904 | 0.4722 |
156
- | 0.4265 | 0.7937 | 20200 | 0.5923 | 0.4815 |
157
- | 0.4265 | 0.8016 | 20400 | 0.5979 | 0.4661 |
158
- | 0.4321 | 0.8095 | 20600 | 0.5838 | 0.4561 |
159
- | 0.4321 | 0.8173 | 20800 | 0.5825 | 0.4524 |
160
- | 0.4192 | 0.8252 | 21000 | 0.5839 | 0.4552 |
161
- | 0.4192 | 0.8330 | 21200 | 0.5804 | 0.4594 |
162
- | 0.4192 | 0.8409 | 21400 | 0.5891 | 0.4722 |
163
- | 0.4151 | 0.8488 | 21600 | 0.5831 | 0.4525 |
164
- | 0.4151 | 0.8566 | 21800 | 0.5677 | 0.4543 |
165
- | 0.417 | 0.8645 | 22000 | 0.5605 | 0.4468 |
166
- | 0.417 | 0.8723 | 22200 | 0.5705 | 0.4442 |
167
- | 0.417 | 0.8802 | 22400 | 0.5686 | 0.4551 |
168
- | 0.4014 | 0.8881 | 22600 | 0.5752 | 0.4602 |
169
- | 0.4014 | 0.8959 | 22800 | 0.5623 | 0.4453 |
170
- | 0.4024 | 0.9038 | 23000 | 0.5632 | 0.4424 |
171
- | 0.4024 | 0.9116 | 23200 | 0.5681 | 0.4471 |
172
- | 0.4024 | 0.9195 | 23400 | 0.5659 | 0.4511 |
173
- | 0.3899 | 0.9273 | 23600 | 0.5654 | 0.4417 |
174
- | 0.3899 | 0.9352 | 23800 | 0.5691 | 0.4542 |
175
- | 0.3977 | 0.9431 | 24000 | 0.5613 | 0.4434 |
176
- | 0.3977 | 0.9509 | 24200 | 0.5688 | 0.4433 |
177
- | 0.3977 | 0.9588 | 24400 | 0.5749 | 0.4455 |
178
- | 0.3889 | 0.9666 | 24600 | 0.5500 | 0.4318 |
179
- | 0.3889 | 0.9745 | 24800 | 0.5436 | 0.4372 |
180
- | 0.39 | 0.9824 | 25000 | 0.5475 | 0.4388 |
181
- | 0.39 | 0.9902 | 25200 | 0.5532 | 0.4424 |
182
- | 0.39 | 0.9981 | 25400 | 0.5450 | 0.4281 |
183
- | 0.3853 | 1.0059 | 25600 | 0.5463 | 0.4308 |
184
- | 0.3853 | 1.0138 | 25800 | 0.5458 | 0.4278 |
185
- | 0.3413 | 1.0217 | 26000 | 0.5470 | 0.4344 |
186
- | 0.3413 | 1.0295 | 26200 | 0.5358 | 0.4226 |
187
- | 0.3413 | 1.0374 | 26400 | 0.5404 | 0.4231 |
188
- | 0.339 | 1.0452 | 26600 | 0.5345 | 0.4243 |
189
- | 0.339 | 1.0531 | 26800 | 0.5397 | 0.4200 |
190
- | 0.3235 | 1.0609 | 27000 | 0.5379 | 0.4183 |
191
- | 0.3235 | 1.0688 | 27200 | 0.5305 | 0.4275 |
192
- | 0.3235 | 1.0767 | 27400 | 0.5441 | 0.4248 |
193
- | 0.3252 | 1.0845 | 27600 | 0.5362 | 0.4178 |
194
- | 0.3252 | 1.0924 | 27800 | 0.5305 | 0.4202 |
195
- | 0.3301 | 1.1002 | 28000 | 0.5307 | 0.4185 |
196
- | 0.3301 | 1.1081 | 28200 | 0.5402 | 0.4311 |
197
- | 0.3301 | 1.1160 | 28400 | 0.5309 | 0.4179 |
198
- | 0.3087 | 1.1238 | 28600 | 0.5298 | 0.4214 |
199
- | 0.3087 | 1.1317 | 28800 | 0.5331 | 0.4215 |
200
- | 0.3222 | 1.1395 | 29000 | 0.5273 | 0.4145 |
201
- | 0.3222 | 1.1474 | 29200 | 0.5283 | 0.4131 |
202
- | 0.3222 | 1.1553 | 29400 | 0.5257 | 0.4116 |
203
- | 0.3227 | 1.1631 | 29600 | 0.5169 | 0.4084 |
204
- | 0.3227 | 1.1710 | 29800 | 0.5185 | 0.4107 |
205
- | 0.309 | 1.1788 | 30000 | 0.5076 | 0.4028 |
206
- | 0.309 | 1.1867 | 30200 | 0.5178 | 0.4054 |
207
- | 0.309 | 1.1945 | 30400 | 0.5226 | 0.4122 |
208
- | 0.3138 | 1.2024 | 30600 | 0.5227 | 0.4073 |
209
- | 0.3138 | 1.2103 | 30800 | 0.5130 | 0.4050 |
210
- | 0.3083 | 1.2181 | 31000 | 0.5168 | 0.4113 |
211
- | 0.3083 | 1.2260 | 31200 | 0.5054 | 0.4004 |
212
- | 0.3083 | 1.2338 | 31400 | 0.5144 | 0.4067 |
213
- | 0.2981 | 1.2417 | 31600 | 0.5082 | 0.3992 |
214
- | 0.2981 | 1.2496 | 31800 | 0.5134 | 0.3961 |
215
- | 0.2952 | 1.2574 | 32000 | 0.4970 | 0.3999 |
216
- | 0.2952 | 1.2653 | 32200 | 0.5029 | 0.4006 |
217
- | 0.2952 | 1.2731 | 32400 | 0.4980 | 0.4002 |
218
- | 0.2995 | 1.2810 | 32600 | 0.4992 | 0.4046 |
219
- | 0.2995 | 1.2889 | 32800 | 0.4969 | 0.3912 |
220
- | 0.3046 | 1.2967 | 33000 | 0.4943 | 0.3933 |
221
- | 0.3046 | 1.3046 | 33200 | 0.4883 | 0.3932 |
222
- | 0.3046 | 1.3124 | 33400 | 0.4965 | 0.3935 |
223
- | 0.2972 | 1.3203 | 33600 | 0.4910 | 0.3942 |
224
- | 0.2972 | 1.3281 | 33800 | 0.5008 | 0.4097 |
225
- | 0.3093 | 1.3360 | 34000 | 0.4958 | 0.3957 |
226
- | 0.3093 | 1.3439 | 34200 | 0.5045 | 0.4018 |
227
- | 0.3093 | 1.3517 | 34400 | 0.4925 | 0.3970 |
228
- | 0.2947 | 1.3596 | 34600 | 0.4829 | 0.3905 |
229
- | 0.2947 | 1.3674 | 34800 | 0.4870 | 0.3952 |
230
- | 0.2801 | 1.3753 | 35000 | 0.4897 | 0.3937 |
231
- | 0.2801 | 1.3832 | 35200 | 0.5007 | 0.3997 |
232
- | 0.2801 | 1.3910 | 35400 | 0.4823 | 0.3849 |
233
- | 0.2772 | 1.3989 | 35600 | 0.4849 | 0.3912 |
234
- | 0.2772 | 1.4067 | 35800 | 0.4845 | 0.3882 |
235
- | 0.281 | 1.4146 | 36000 | 0.4829 | 0.3842 |
236
- | 0.281 | 1.4225 | 36200 | 0.4815 | 0.3859 |
237
- | 0.281 | 1.4303 | 36400 | 0.4772 | 0.3808 |
238
- | 0.2697 | 1.4382 | 36600 | 0.4870 | 0.3914 |
239
- | 0.2697 | 1.4460 | 36800 | 0.4770 | 0.3866 |
240
- | 0.2766 | 1.4539 | 37000 | 0.4787 | 0.3821 |
241
- | 0.2766 | 1.4617 | 37200 | 0.4793 | 0.3810 |
242
- | 0.2766 | 1.4696 | 37400 | 0.4739 | 0.3803 |
243
- | 0.2905 | 1.4775 | 37600 | 0.4725 | 0.3811 |
244
- | 0.2905 | 1.4853 | 37800 | 0.4727 | 0.3783 |
245
- | 0.2799 | 1.4932 | 38000 | 0.4705 | 0.3777 |
246
- | 0.2799 | 1.5010 | 38200 | 0.4659 | 0.3751 |
247
- | 0.2799 | 1.5089 | 38400 | 0.4691 | 0.3743 |
248
- | 0.267 | 1.5168 | 38600 | 0.4690 | 0.3664 |
249
- | 0.267 | 1.5246 | 38800 | 0.4633 | 0.3681 |
250
- | 0.2632 | 1.5325 | 39000 | 0.4651 | 0.3726 |
251
- | 0.2632 | 1.5403 | 39200 | 0.4690 | 0.3674 |
252
- | 0.2632 | 1.5482 | 39400 | 0.4613 | 0.3715 |
253
- | 0.2716 | 1.5561 | 39600 | 0.4655 | 0.3697 |
254
- | 0.2716 | 1.5639 | 39800 | 0.4597 | 0.3648 |
255
- | 0.2651 | 1.5718 | 40000 | 0.4550 | 0.3662 |
256
- | 0.2651 | 1.5796 | 40200 | 0.4539 | 0.3676 |
257
- | 0.2651 | 1.5875 | 40400 | 0.4543 | 0.3675 |
258
- | 0.2659 | 1.5953 | 40600 | 0.4556 | 0.3623 |
259
- | 0.2659 | 1.6032 | 40800 | 0.4633 | 0.3685 |
260
- | 0.2559 | 1.6111 | 41000 | 0.4529 | 0.3608 |
261
- | 0.2559 | 1.6189 | 41200 | 0.4535 | 0.3639 |
262
- | 0.2559 | 1.6268 | 41400 | 0.4511 | 0.3637 |
263
- | 0.2629 | 1.6346 | 41600 | 0.4556 | 0.3605 |
264
- | 0.2629 | 1.6425 | 41800 | 0.4571 | 0.3639 |
265
- | 0.259 | 1.6504 | 42000 | 0.4620 | 0.3690 |
266
- | 0.259 | 1.6582 | 42200 | 0.4550 | 0.3635 |
267
- | 0.259 | 1.6661 | 42400 | 0.4522 | 0.3584 |
268
- | 0.2594 | 1.6739 | 42600 | 0.4495 | 0.3589 |
269
- | 0.2594 | 1.6818 | 42800 | 0.4453 | 0.3562 |
270
- | 0.2538 | 1.6897 | 43000 | 0.4438 | 0.3555 |
271
- | 0.2538 | 1.6975 | 43200 | 0.4494 | 0.3567 |
272
- | 0.2538 | 1.7054 | 43400 | 0.4444 | 0.3538 |
273
- | 0.2512 | 1.7132 | 43600 | 0.4455 | 0.3530 |
274
- | 0.2512 | 1.7211 | 43800 | 0.4454 | 0.3522 |
275
- | 0.2358 | 1.7289 | 44000 | 0.4445 | 0.3520 |
276
- | 0.2358 | 1.7368 | 44200 | 0.4416 | 0.3500 |
277
- | 0.2358 | 1.7447 | 44400 | 0.4420 | 0.3490 |
278
- | 0.2418 | 1.7525 | 44600 | 0.4386 | 0.3479 |
279
- | 0.2418 | 1.7604 | 44800 | 0.4355 | 0.3461 |
280
- | 0.2421 | 1.7682 | 45000 | 0.4386 | 0.3437 |
281
- | 0.2421 | 1.7761 | 45200 | 0.4348 | 0.3458 |
282
- | 0.2421 | 1.7840 | 45400 | 0.4335 | 0.3435 |
283
- | 0.2418 | 1.7918 | 45600 | 0.4309 | 0.3444 |
284
- | 0.2418 | 1.7997 | 45800 | 0.4321 | 0.3425 |
285
- | 0.2424 | 1.8075 | 46000 | 0.4300 | 0.3408 |
286
- | 0.2424 | 1.8154 | 46200 | 0.4301 | 0.3423 |
287
- | 0.2424 | 1.8233 | 46400 | 0.4339 | 0.3407 |
288
- | 0.228 | 1.8311 | 46600 | 0.4317 | 0.3429 |
289
- | 0.228 | 1.8390 | 46800 | 0.4300 | 0.3433 |
290
- | 0.2532 | 1.8468 | 47000 | 0.4249 | 0.3439 |
291
- | 0.2532 | 1.8547 | 47200 | 0.4257 | 0.3430 |
292
- | 0.2532 | 1.8625 | 47400 | 0.4264 | 0.3408 |
293
- | 0.2347 | 1.8704 | 47600 | 0.4254 | 0.3409 |
294
- | 0.2347 | 1.8783 | 47800 | 0.4237 | 0.3391 |
295
- | 0.2265 | 1.8861 | 48000 | 0.4247 | 0.3395 |
296
- | 0.2265 | 1.8940 | 48200 | 0.4253 | 0.3389 |
297
- | 0.2265 | 1.9018 | 48400 | 0.4246 | 0.3390 |
298
- | 0.2262 | 1.9097 | 48600 | 0.4227 | 0.3379 |
299
- | 0.2262 | 1.9176 | 48800 | 0.4228 | 0.3389 |
300
- | 0.2358 | 1.9254 | 49000 | 0.4225 | 0.3391 |
301
- | 0.2358 | 1.9333 | 49200 | 0.4224 | 0.3390 |
302
- | 0.2358 | 1.9411 | 49400 | 0.4215 | 0.3390 |
303
- | 0.231 | 1.9490 | 49600 | 0.4215 | 0.3400 |
304
- | 0.231 | 1.9569 | 49800 | 0.4212 | 0.3393 |
305
- | 0.2331 | 1.9647 | 50000 | 0.4212 | 0.3394 |
306
 
307
 
308
  ### Framework versions
 
2
  license: apache-2.0
3
  base_model: facebook/wav2vec2-large-xlsr-53
4
  tags:
 
 
5
  - generated_from_trainer
6
  metrics:
7
  - wer
 
15
 
16
  # wav2vec2-xlsr-53-ft-btb-ccv-cy
17
 
18
+ This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.3890
21
+ - Wer: 0.3056
22
 
23
  ## Model description
24
 
 
44
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
  - lr_scheduler_type: linear
46
  - lr_scheduler_warmup_steps: 500
47
+ - training_steps: 100000
48
  - mixed_precision_training: Native AMP
49
 
50
  ### Training results
51
 
52
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
53
+ |:-------------:|:------:|:------:|:---------------:|:------:|
54
+ | 1.043 | 0.0393 | 1000 | 1.1074 | 0.7791 |
55
+ | 0.716 | 0.0786 | 2000 | 0.9459 | 0.7145 |
56
+ | 0.6667 | 0.1179 | 3000 | 0.8828 | 0.6616 |
57
+ | 0.6238 | 0.1572 | 4000 | 0.8482 | 0.6633 |
58
+ | 0.591 | 0.1965 | 5000 | 0.8121 | 0.6215 |
59
+ | 0.588 | 0.2358 | 6000 | 0.7926 | 0.5952 |
60
+ | 0.5732 | 0.2751 | 7000 | 0.7582 | 0.5707 |
61
+ | 0.5557 | 0.3144 | 8000 | 0.7591 | 0.5600 |
62
+ | 0.5587 | 0.3536 | 9000 | 0.7245 | 0.5741 |
63
+ | 0.531 | 0.3929 | 10000 | 0.7107 | 0.5469 |
64
+ | 0.5275 | 0.4322 | 11000 | 0.7102 | 0.5448 |
65
+ | 0.5101 | 0.4715 | 12000 | 0.6905 | 0.5404 |
66
+ | 0.5215 | 0.5108 | 13000 | 0.6824 | 0.5255 |
67
+ | 0.5293 | 0.5501 | 14000 | 0.6682 | 0.5163 |
68
+ | 0.4981 | 0.5894 | 15000 | 0.6615 | 0.5140 |
69
+ | 0.4891 | 0.6287 | 16000 | 0.6634 | 0.5249 |
70
+ | 0.4813 | 0.6680 | 17000 | 0.6469 | 0.5105 |
71
+ | 0.4799 | 0.7073 | 18000 | 0.6421 | 0.5014 |
72
+ | 0.4799 | 0.7466 | 19000 | 0.6144 | 0.4819 |
73
+ | 0.471 | 0.7859 | 20000 | 0.6184 | 0.4914 |
74
+ | 0.4644 | 0.8252 | 21000 | 0.6190 | 0.4983 |
75
+ | 0.4645 | 0.8645 | 22000 | 0.6085 | 0.4784 |
76
+ | 0.4506 | 0.9038 | 23000 | 0.6067 | 0.4700 |
77
+ | 0.4439 | 0.9431 | 24000 | 0.5994 | 0.4773 |
78
+ | 0.4476 | 0.9824 | 25000 | 0.5946 | 0.4710 |
79
+ | 0.3905 | 1.0217 | 26000 | 0.5904 | 0.4539 |
80
+ | 0.3807 | 1.0609 | 27000 | 0.5839 | 0.4573 |
81
+ | 0.3782 | 1.1002 | 28000 | 0.5694 | 0.4477 |
82
+ | 0.3777 | 1.1395 | 29000 | 0.5712 | 0.4581 |
83
+ | 0.3879 | 1.1788 | 30000 | 0.5694 | 0.4539 |
84
+ | 0.3817 | 1.2181 | 31000 | 0.5558 | 0.4414 |
85
+ | 0.3755 | 1.2574 | 32000 | 0.5634 | 0.4343 |
86
+ | 0.3629 | 1.2967 | 33000 | 0.5455 | 0.4342 |
87
+ | 0.3636 | 1.3360 | 34000 | 0.5472 | 0.4346 |
88
+ | 0.3566 | 1.3753 | 35000 | 0.5467 | 0.4322 |
89
+ | 0.3683 | 1.4146 | 36000 | 0.5441 | 0.4325 |
90
+ | 0.3581 | 1.4539 | 37000 | 0.5279 | 0.4192 |
91
+ | 0.3448 | 1.4932 | 38000 | 0.5341 | 0.4195 |
92
+ | 0.3558 | 1.5325 | 39000 | 0.5194 | 0.4212 |
93
+ | 0.3492 | 1.5718 | 40000 | 0.5243 | 0.4139 |
94
+ | 0.3461 | 1.6111 | 41000 | 0.5144 | 0.4046 |
95
+ | 0.3412 | 1.6504 | 42000 | 0.5345 | 0.4237 |
96
+ | 0.3424 | 1.6897 | 43000 | 0.5192 | 0.4092 |
97
+ | 0.341 | 1.7289 | 44000 | 0.5131 | 0.4056 |
98
+ | 0.3428 | 1.7682 | 45000 | 0.5110 | 0.4030 |
99
+ | 0.3337 | 1.8075 | 46000 | 0.5063 | 0.4051 |
100
+ | 0.3286 | 1.8468 | 47000 | 0.5045 | 0.3976 |
101
+ | 0.3422 | 1.8861 | 48000 | 0.4938 | 0.4027 |
102
+ | 0.3271 | 1.9254 | 49000 | 0.4979 | 0.3910 |
103
+ | 0.3313 | 1.9647 | 50000 | 0.4907 | 0.3974 |
104
+ | 0.3069 | 2.0040 | 51000 | 0.4899 | 0.3852 |
105
+ | 0.2771 | 2.0433 | 52000 | 0.4836 | 0.3845 |
106
+ | 0.2705 | 2.0826 | 53000 | 0.4929 | 0.3825 |
107
+ | 0.2654 | 2.1219 | 54000 | 0.4843 | 0.3813 |
108
+ | 0.2794 | 2.1612 | 55000 | 0.4820 | 0.3781 |
109
+ | 0.2644 | 2.2005 | 56000 | 0.4742 | 0.3755 |
110
+ | 0.2624 | 2.2398 | 57000 | 0.4685 | 0.3681 |
111
+ | 0.2689 | 2.2791 | 58000 | 0.4650 | 0.3665 |
112
+ | 0.2584 | 2.3184 | 59000 | 0.4691 | 0.3658 |
113
+ | 0.2535 | 2.3577 | 60000 | 0.4627 | 0.3713 |
114
+ | 0.2623 | 2.3970 | 61000 | 0.4667 | 0.3670 |
115
+ | 0.2502 | 2.4362 | 62000 | 0.4592 | 0.3681 |
116
+ | 0.2593 | 2.4755 | 63000 | 0.4569 | 0.3676 |
117
+ | 0.2521 | 2.5148 | 64000 | 0.4576 | 0.3590 |
118
+ | 0.2415 | 2.5541 | 65000 | 0.4510 | 0.3542 |
119
+ | 0.2349 | 2.5934 | 66000 | 0.4454 | 0.3534 |
120
+ | 0.2482 | 2.6327 | 67000 | 0.4531 | 0.3586 |
121
+ | 0.2527 | 2.6720 | 68000 | 0.4418 | 0.3522 |
122
+ | 0.2473 | 2.7113 | 69000 | 0.4437 | 0.3583 |
123
+ | 0.2334 | 2.7506 | 70000 | 0.4338 | 0.3457 |
124
+ | 0.2314 | 2.7899 | 71000 | 0.4286 | 0.3456 |
125
+ | 0.2318 | 2.8292 | 72000 | 0.4275 | 0.3371 |
126
+ | 0.2347 | 2.8685 | 73000 | 0.4266 | 0.3408 |
127
+ | 0.2313 | 2.9078 | 74000 | 0.4238 | 0.3354 |
128
+ | 0.2253 | 2.9471 | 75000 | 0.4199 | 0.3316 |
129
+ | 0.217 | 2.9864 | 76000 | 0.4222 | 0.3333 |
130
+ | 0.194 | 3.0257 | 77000 | 0.4252 | 0.3342 |
131
+ | 0.181 | 3.0650 | 78000 | 0.4228 | 0.3364 |
132
+ | 0.187 | 3.1042 | 79000 | 0.4197 | 0.3356 |
133
+ | 0.1855 | 3.1435 | 80000 | 0.4215 | 0.3410 |
134
+ | 0.1886 | 3.1828 | 81000 | 0.4177 | 0.3319 |
135
+ | 0.1821 | 3.2221 | 82000 | 0.4128 | 0.3293 |
136
+ | 0.1786 | 3.2614 | 83000 | 0.4102 | 0.3226 |
137
+ | 0.1758 | 3.3007 | 84000 | 0.4147 | 0.3264 |
138
+ | 0.171 | 3.3400 | 85000 | 0.4131 | 0.3200 |
139
+ | 0.1767 | 3.3793 | 86000 | 0.4098 | 0.3172 |
140
+ | 0.1804 | 3.4186 | 87000 | 0.4091 | 0.3209 |
141
+ | 0.1699 | 3.4579 | 88000 | 0.4044 | 0.3179 |
142
+ | 0.1645 | 3.4972 | 89000 | 0.4041 | 0.3167 |
143
+ | 0.1707 | 3.5365 | 90000 | 0.4008 | 0.3202 |
144
+ | 0.1838 | 3.5758 | 91000 | 0.3981 | 0.3165 |
145
+ | 0.1653 | 3.6151 | 92000 | 0.3987 | 0.3132 |
146
+ | 0.1679 | 3.6544 | 93000 | 0.3982 | 0.3110 |
147
+ | 0.1631 | 3.6937 | 94000 | 0.3904 | 0.3074 |
148
+ | 0.1561 | 3.7330 | 95000 | 0.3934 | 0.3091 |
149
+ | 0.1699 | 3.7723 | 96000 | 0.3917 | 0.3068 |
150
+ | 0.1591 | 3.8115 | 97000 | 0.3918 | 0.3057 |
151
+ | 0.1609 | 3.8508 | 98000 | 0.3908 | 0.3050 |
152
+ | 0.1675 | 3.8901 | 99000 | 0.3902 | 0.3059 |
153
+ | 0.1666 | 3.9294 | 100000 | 0.3890 | 0.3056 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
154
 
155
 
156
  ### Framework versions