yashcode00 commited on
Commit
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yashcode00/wav2vec2-large-xlsr-indian-language-classification-featureExtractor

Browse files
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 [yashcode00/wav2vec2-large-xlsr-indian-language-classification-featureExtractor](https://huggingface.co/yashcode00/wav2vec2-large-xlsr-indian-language-classification-featureExtractor) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2965
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- - Accuracy: 0.9319
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  ## Model description
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@@ -51,15 +51,15 @@ 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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- | 0.0272 | 10.55 | 1000 | 0.2915 | 0.9257 |
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- | 0.0172 | 21.11 | 2000 | 0.2769 | 0.9332 |
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- | 0.0178 | 31.66 | 3000 | 0.2928 | 0.9323 |
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- | 0.0145 | 42.22 | 4000 | 0.2718 | 0.9356 |
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- | 0.0147 | 52.77 | 5000 | 0.2676 | 0.9348 |
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- | 0.0135 | 63.32 | 6000 | 0.2731 | 0.9398 |
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- | 0.0105 | 73.88 | 7000 | 0.3145 | 0.9336 |
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- | 0.0075 | 84.43 | 8000 | 0.2971 | 0.9319 |
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- | 0.0078 | 94.99 | 9000 | 0.2950 | 0.9328 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [yashcode00/wav2vec2-large-xlsr-indian-language-classification-featureExtractor](https://huggingface.co/yashcode00/wav2vec2-large-xlsr-indian-language-classification-featureExtractor) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2045
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+ - Accuracy: 0.9484
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.0213 | 10.55 | 1000 | 0.2103 | 0.9460 |
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+ | 0.0192 | 21.11 | 2000 | 0.1935 | 0.9480 |
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+ | 0.0196 | 31.66 | 3000 | 0.2777 | 0.9278 |
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+ | 0.014 | 42.22 | 4000 | 0.1927 | 0.9480 |
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+ | 0.0141 | 52.77 | 5000 | 0.2184 | 0.9439 |
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+ | 0.0106 | 63.32 | 6000 | 0.2401 | 0.9348 |
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+ | 0.0112 | 73.88 | 7000 | 0.2206 | 0.9493 |
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+ | 0.0085 | 84.43 | 8000 | 0.1907 | 0.9526 |
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+ | 0.0079 | 94.99 | 9000 | 0.2052 | 0.9484 |
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  ### Framework versions
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