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End of training

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  1. README.md +32 -32
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5294
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- - Wer: 0.3333
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  ## Model description
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@@ -50,40 +50,40 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|
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- | 3.5085 | 1.0 | 500 | 1.4556 | 1.0117 |
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- | 0.7901 | 2.01 | 1000 | 0.4979 | 0.5270 |
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- | 0.4101 | 3.01 | 1500 | 0.4134 | 0.4513 |
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- | 0.2783 | 4.02 | 2000 | 0.4321 | 0.4257 |
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- | 0.2262 | 5.02 | 2500 | 0.4376 | 0.4002 |
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- | 0.1805 | 6.02 | 3000 | 0.4142 | 0.3865 |
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- | 0.1518 | 7.03 | 3500 | 0.4589 | 0.3838 |
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- | 0.1314 | 8.03 | 4000 | 0.4693 | 0.3829 |
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- | 0.1161 | 9.04 | 4500 | 0.4559 | 0.3764 |
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- | 0.1146 | 10.04 | 5000 | 0.4392 | 0.3714 |
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- | 0.0939 | 11.04 | 5500 | 0.4468 | 0.3645 |
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- | 0.0878 | 12.05 | 6000 | 0.4583 | 0.3575 |
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- | 0.0809 | 13.05 | 6500 | 0.4843 | 0.3651 |
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- | 0.0703 | 14.06 | 7000 | 0.4794 | 0.3657 |
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- | 0.0649 | 15.06 | 7500 | 0.4599 | 0.3637 |
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- | 0.061 | 16.06 | 8000 | 0.5063 | 0.3562 |
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- | 0.0539 | 17.07 | 8500 | 0.5122 | 0.3681 |
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- | 0.0548 | 18.07 | 9000 | 0.4948 | 0.3646 |
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- | 0.0451 | 19.08 | 9500 | 0.5131 | 0.3497 |
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- | 0.0443 | 20.08 | 10000 | 0.5458 | 0.3518 |
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- | 0.0412 | 21.08 | 10500 | 0.5460 | 0.3446 |
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- | 0.0371 | 22.09 | 11000 | 0.5538 | 0.3428 |
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- | 0.0336 | 23.09 | 11500 | 0.4967 | 0.3392 |
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- | 0.0321 | 24.1 | 12000 | 0.4998 | 0.3373 |
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- | 0.0266 | 25.1 | 12500 | 0.5110 | 0.3310 |
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- | 0.0241 | 26.1 | 13000 | 0.5111 | 0.3339 |
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- | 0.0256 | 27.11 | 13500 | 0.5341 | 0.3341 |
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- | 0.0238 | 28.11 | 14000 | 0.5227 | 0.3306 |
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- | 0.0193 | 29.12 | 14500 | 0.5294 | 0.3333 |
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  ### Framework versions
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- - Transformers 4.31.0
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  - Pytorch 2.0.1+cu118
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  - Datasets 1.18.3
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  - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5198
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+ - Wer: 0.3335
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|
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+ | 3.4828 | 1.0 | 500 | 1.6354 | 1.0429 |
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+ | 0.8406 | 2.01 | 1000 | 0.5389 | 0.5405 |
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+ | 0.4345 | 3.01 | 1500 | 0.4202 | 0.4438 |
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+ | 0.2912 | 4.02 | 2000 | 0.4195 | 0.4216 |
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+ | 0.2316 | 5.02 | 2500 | 0.4253 | 0.4051 |
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+ | 0.1917 | 6.02 | 3000 | 0.3969 | 0.3958 |
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+ | 0.1545 | 7.03 | 3500 | 0.4291 | 0.3912 |
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+ | 0.1423 | 8.03 | 4000 | 0.4349 | 0.3731 |
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+ | 0.1234 | 9.04 | 4500 | 0.4419 | 0.3784 |
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+ | 0.1124 | 10.04 | 5000 | 0.4713 | 0.3741 |
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+ | 0.0991 | 11.04 | 5500 | 0.4711 | 0.3692 |
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+ | 0.0924 | 12.05 | 6000 | 0.4994 | 0.3699 |
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+ | 0.0809 | 13.05 | 6500 | 0.4888 | 0.3643 |
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+ | 0.0715 | 14.06 | 7000 | 0.4828 | 0.3634 |
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+ | 0.0646 | 15.06 | 7500 | 0.5058 | 0.3570 |
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+ | 0.0604 | 16.06 | 8000 | 0.5586 | 0.3637 |
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+ | 0.0571 | 17.07 | 8500 | 0.4991 | 0.3553 |
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+ | 0.0532 | 18.07 | 9000 | 0.5317 | 0.3566 |
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+ | 0.0471 | 19.08 | 9500 | 0.5308 | 0.3508 |
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+ | 0.0449 | 20.08 | 10000 | 0.5362 | 0.3486 |
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+ | 0.0373 | 21.08 | 10500 | 0.5211 | 0.3479 |
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+ | 0.0351 | 22.09 | 11000 | 0.5132 | 0.3445 |
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+ | 0.0333 | 23.09 | 11500 | 0.4927 | 0.3381 |
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+ | 0.0302 | 24.1 | 12000 | 0.5330 | 0.3413 |
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+ | 0.0282 | 25.1 | 12500 | 0.5295 | 0.3396 |
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+ | 0.024 | 26.1 | 13000 | 0.5022 | 0.3356 |
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+ | 0.0262 | 27.11 | 13500 | 0.5320 | 0.3329 |
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+ | 0.0242 | 28.11 | 14000 | 0.5133 | 0.3326 |
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+ | 0.0201 | 29.12 | 14500 | 0.5198 | 0.3335 |
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  ### Framework versions
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+ - Transformers 4.32.0
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  - Pytorch 2.0.1+cu118
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  - Datasets 1.18.3
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  - Tokenizers 0.13.3
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