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End of training

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README.md CHANGED
@@ -18,8 +18,8 @@ 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: 0.1085
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- - Accuracy: 0.9644
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  ## Model description
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@@ -38,7 +38,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0003
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  - train_batch_size: 32
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  - eval_batch_size: 32
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  - seed: 42
@@ -53,16 +53,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | 1.8119 | 0.9851 | 33 | 1.4201 | 0.4695 |
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- | 0.8636 | 2.0 | 67 | 0.7640 | 0.7648 |
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- | 0.5921 | 2.9851 | 100 | 0.4213 | 0.8650 |
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- | 0.5208 | 4.0 | 134 | 0.3653 | 0.8894 |
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- | 0.3972 | 4.9851 | 167 | 0.2863 | 0.9072 |
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- | 0.3852 | 6.0 | 201 | 0.3362 | 0.9091 |
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- | 0.3592 | 6.9851 | 234 | 0.2300 | 0.9269 |
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- | 0.2668 | 8.0 | 268 | 0.1685 | 0.9475 |
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- | 0.199 | 8.9851 | 301 | 0.1365 | 0.9522 |
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- | 0.2098 | 9.8507 | 330 | 0.1085 | 0.9644 |
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.0784
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+ - Accuracy: 0.1406
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.003
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  - train_batch_size: 32
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  - eval_batch_size: 32
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 2.0876 | 0.9851 | 33 | 2.0858 | 0.1406 |
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+ | 2.082 | 2.0 | 67 | 2.0807 | 0.1293 |
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+ | 2.0806 | 2.9851 | 100 | 2.0791 | 0.1406 |
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+ | 2.0802 | 4.0 | 134 | 2.0787 | 0.1406 |
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+ | 2.0804 | 4.9851 | 167 | 2.0803 | 0.1172 |
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+ | 2.0816 | 6.0 | 201 | 2.0786 | 0.1406 |
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+ | 2.078 | 6.9851 | 234 | 2.0783 | 0.1406 |
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+ | 2.0782 | 8.0 | 268 | 2.0784 | 0.1406 |
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+ | 2.0785 | 8.9851 | 301 | 2.0784 | 0.1406 |
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+ | 2.0767 | 9.8507 | 330 | 2.0784 | 0.1406 |
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  ### Framework versions
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