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faster-whisper-small-nya-tknSW

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README.md CHANGED
@@ -4,6 +4,8 @@ license: apache-2.0
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  base_model: openai/whisper-small
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: output
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  results: []
@@ -16,14 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.5583
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- - eval_wer: 0.3817
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- - eval_cer: 0.1696
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- - eval_runtime: 258.7829
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- - eval_samples_per_second: 2.404
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- - eval_steps_per_second: 0.301
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- - epoch: 8.6621
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- - step: 2200
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  ## Model description
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@@ -54,6 +51,23 @@ The following hyperparameters were used during training:
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  - training_steps: 10000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.57.1
 
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  base_model: openai/whisper-small
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - wer
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  model-index:
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  - name: output
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  results: []
 
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5610
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+ - Wer: 0.4369
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+ - Cer: 0.2391
 
 
 
 
 
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  ## Model description
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  - training_steps: 10000
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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+ |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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+ | 0.9794 | 0.7882 | 200 | 1.4261 | 0.7751 | 0.2368 |
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+ | 0.4482 | 1.5754 | 400 | 0.9341 | 0.5545 | 0.1791 |
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+ | 0.2978 | 2.3626 | 600 | 0.7387 | 0.4951 | 0.1833 |
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+ | 0.2087 | 3.1498 | 800 | 0.6379 | 0.6575 | 0.3344 |
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+ | 0.1782 | 3.9379 | 1000 | 0.5686 | 0.3875 | 0.1540 |
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+ | 0.1275 | 4.7251 | 1200 | 0.5456 | 0.3472 | 0.1295 |
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+ | 0.0894 | 5.5123 | 1400 | 0.5294 | 0.4248 | 0.2279 |
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+ | 0.05 | 6.2995 | 1600 | 0.5384 | 0.3768 | 0.1744 |
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+ | 0.0471 | 7.0867 | 1800 | 0.5511 | 0.5286 | 0.3003 |
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+ | 0.0297 | 7.8749 | 2000 | 0.5557 | 0.3863 | 0.1668 |
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+ | 0.0167 | 8.6621 | 2200 | 0.5610 | 0.4369 | 0.2391 |
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+
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+
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  ### Framework versions
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  - Transformers 4.57.1
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