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holmes26/fluent-noisy-wav2vec

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  1. README.md +17 -17
  2. model.safetensors +1 -1
  3. runs/Apr12_04-45-40_ea12af538c4e/events.out.tfevents.1712897277.ea12af538c4e.166.0 +3 -0
  4. training_args.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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0095
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- - Wer: 0.2644
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  ## Model description
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@@ -51,21 +51,21 @@ 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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- | 4.7071 | 1.26 | 500 | 2.7976 | 0.9918 |
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- | 1.4121 | 2.53 | 1000 | 0.1923 | 0.5114 |
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- | 0.2774 | 3.79 | 1500 | 0.0824 | 0.3238 |
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- | 0.1805 | 5.05 | 2000 | 0.0502 | 0.3058 |
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- | 0.1232 | 6.31 | 2500 | 0.0336 | 0.2930 |
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- | 0.0949 | 7.58 | 3000 | 0.0169 | 0.2685 |
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- | 0.094 | 8.84 | 3500 | 0.0202 | 0.2772 |
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- | 0.0779 | 10.1 | 4000 | 0.0203 | 0.2708 |
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- | 0.0653 | 11.36 | 4500 | 0.0177 | 0.2702 |
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- | 0.055 | 12.63 | 5000 | 0.0225 | 0.2667 |
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- | 0.0481 | 13.89 | 5500 | 0.0135 | 0.2650 |
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- | 0.0317 | 15.15 | 6000 | 0.0167 | 0.2656 |
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- | 0.0339 | 16.41 | 6500 | 0.0126 | 0.2650 |
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- | 0.0238 | 17.68 | 7000 | 0.0113 | 0.2650 |
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- | 0.018 | 18.94 | 7500 | 0.0095 | 0.2644 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0169
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+ - Wer: 0.2673
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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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+ | 4.6087 | 1.26 | 500 | 3.0092 | 1.0 |
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+ | 2.1293 | 2.53 | 1000 | 0.4565 | 0.6872 |
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+ | 0.443 | 3.79 | 1500 | 0.1887 | 0.3995 |
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+ | 0.2368 | 5.05 | 2000 | 0.0564 | 0.3034 |
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+ | 0.1775 | 6.31 | 2500 | 0.0398 | 0.2964 |
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+ | 0.132 | 7.58 | 3000 | 0.0574 | 0.2895 |
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+ | 0.1176 | 8.84 | 3500 | 0.0298 | 0.2749 |
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+ | 0.1023 | 10.1 | 4000 | 0.0243 | 0.2708 |
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+ | 0.0833 | 11.36 | 4500 | 0.0235 | 0.2796 |
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+ | 0.0668 | 12.63 | 5000 | 0.0160 | 0.2714 |
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+ | 0.0559 | 13.89 | 5500 | 0.0264 | 0.2749 |
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+ | 0.0414 | 15.15 | 6000 | 0.0157 | 0.2673 |
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+ | 0.0388 | 16.41 | 6500 | 0.0231 | 0.2772 |
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+ | 0.0313 | 17.68 | 7000 | 0.0168 | 0.2667 |
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+ | 0.0286 | 18.94 | 7500 | 0.0169 | 0.2673 |
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  ### Framework versions
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