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wav2vec2-base-finetuned-common_voice

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
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  1. README.md +13 -13
  2. model.safetensors +1 -1
README.md CHANGED
@@ -20,7 +20,7 @@ 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: 0.0002
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  - Accuracy: 1.0
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  - F1: 1.0
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  - Recall: 1.0
@@ -57,18 +57,18 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision | Mcc | Auc |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|:------:|:------:|
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- | 0.3184 | 1.0 | 200 | 0.2012 | 0.97 | 0.9693 | 0.97 | 0.9721 | 0.9633 | 0.9965 |
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- | 0.0889 | 2.0 | 400 | 0.0144 | 0.995 | 0.9950 | 0.9950 | 0.9950 | 0.9938 | 1.0000 |
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- | 0.1011 | 3.0 | 600 | 0.0482 | 0.9925 | 0.9925 | 0.9925 | 0.9928 | 0.9907 | 0.9987 |
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- | 0.0007 | 4.0 | 800 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | 0.0005 | 5.0 | 1000 | 0.0003 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | 0.0003 | 6.0 | 1200 | 0.0003 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | 0.0004 | 7.0 | 1400 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | 0.0003 | 8.0 | 1600 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | 0.0003 | 9.0 | 1800 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | 0.0002 | 10.0 | 2000 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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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: 0.0001
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  - Accuracy: 1.0
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  - F1: 1.0
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  - Recall: 1.0
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision | Mcc | Auc |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|:------:|:---:|
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+ | 0.0033 | 1.0 | 200 | 0.0113 | 0.9975 | 0.9975 | 0.9975 | 0.9975 | 0.9969 | 1.0 |
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+ | 0.0003 | 2.0 | 400 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0002 | 3.0 | 600 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0002 | 4.0 | 800 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0001 | 5.0 | 1000 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0002 | 6.0 | 1200 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.1282 | 7.0 | 1400 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0001 | 8.0 | 1600 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0001 | 9.0 | 1800 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0001 | 10.0 | 2000 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
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