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End of training

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@@ -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 [Harveenchadha/vakyansh-wav2vec2-hindi-him-4200](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-hindi-him-4200) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0031
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- - Wer: 0.0617
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  ## Model description
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@@ -52,16 +52,16 @@ 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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- | 3.8226 | 10.0 | 25 | 1.0589 | 0.3038 |
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- | 0.4978 | 20.0 | 50 | 0.3628 | 0.1549 |
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- | 0.3095 | 30.0 | 75 | 0.1512 | 0.1256 |
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- | 0.1031 | 40.0 | 100 | 0.0368 | 0.0872 |
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- | 0.0578 | 50.0 | 125 | 0.0192 | 0.0699 |
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- | 0.0486 | 60.0 | 150 | 0.0194 | 0.0699 |
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- | 0.0342 | 70.0 | 175 | 0.0053 | 0.0662 |
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- | 0.0225 | 80.0 | 200 | 0.0037 | 0.0624 |
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- | 0.0176 | 90.0 | 225 | 0.0023 | 0.0609 |
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- | 0.0197 | 100.0 | 250 | 0.0031 | 0.0617 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-hindi-him-4200](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-hindi-him-4200) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8584
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+ - Wer: 0.2694
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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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+ | 0.1231 | 10.0 | 25 | 1.0084 | 0.3378 |
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+ | 0.0401 | 20.0 | 50 | 1.1598 | 0.3220 |
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+ | 0.0638 | 30.0 | 75 | 1.0830 | 0.3363 |
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+ | 0.0276 | 40.0 | 100 | 0.8550 | 0.3078 |
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+ | 0.0363 | 50.0 | 125 | 0.9201 | 0.3062 |
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+ | 0.0234 | 60.0 | 150 | 0.9475 | 0.2889 |
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+ | 0.024 | 70.0 | 175 | 0.8795 | 0.3123 |
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+ | 0.0151 | 80.0 | 200 | 0.8775 | 0.3017 |
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+ | 0.015 | 90.0 | 225 | 0.8812 | 0.2814 |
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+ | 0.0106 | 100.0 | 250 | 0.8584 | 0.2694 |
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  ### Framework versions