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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 [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7722
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- - Wer: 40.9156
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  ## Model description
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@@ -38,11 +38,9 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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- - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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- - gradient_accumulation_steps: 2
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- - total_train_batch_size: 16
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
@@ -53,25 +51,24 @@ 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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- | 0.7871 | 0.4292 | 100 | 0.4161 | 34.9906 |
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- | 0.4974 | 0.8584 | 200 | 0.4319 | 33.8051 |
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- | 0.3796 | 1.2876 | 300 | 0.4348 | 39.1582 |
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- | 0.3711 | 1.7167 | 400 | 0.4504 | 38.4566 |
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- | 0.3527 | 2.1459 | 500 | 0.4676 | 41.7834 |
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- | 0.2699 | 2.5751 | 600 | 0.4600 | 37.4643 |
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- | 0.275 | 3.0043 | 700 | 0.4449 | 37.8945 |
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- | 0.1566 | 3.4335 | 800 | 0.5121 | 40.7568 |
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- | 0.1658 | 3.8627 | 900 | 0.5067 | 40.8252 |
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- | 0.1125 | 4.2918 | 1000 | 0.5469 | 41.1772 |
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- | 0.0913 | 4.7210 | 1100 | 0.5818 | 40.3803 |
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- | 0.0806 | 5.1502 | 1200 | 0.6051 | 41.2041 |
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- | 0.0519 | 5.5794 | 1300 | 0.5997 | 40.6908 |
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- | 0.0545 | 6.0086 | 1400 | 0.6158 | 41.0574 |
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- | 0.0323 | 6.4378 | 1500 | 0.6482 | 40.7617 |
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- | 0.034 | 6.8670 | 1600 | 0.6761 | 39.0140 |
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- | 0.0259 | 7.2961 | 1700 | 0.7324 | 42.2796 |
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- | 0.0249 | 7.7253 | 1800 | 0.7128 | 41.8616 |
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- | 0.021 | 8.1545 | 1900 | 0.7722 | 40.9156 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7130
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+ - Wer: 43.1693
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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+ - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
 
 
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
 
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:-------:|
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+ | 0.7784 | 0.4292 | 100 | 0.4158 | 34.8757 |
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+ | 0.4942 | 0.8584 | 200 | 0.4306 | 33.8295 |
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+ | 0.4017 | 1.2876 | 300 | 0.4313 | 38.3124 |
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+ | 0.3677 | 1.7167 | 400 | 0.4539 | 39.1020 |
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+ | 0.3498 | 2.1459 | 500 | 0.4611 | 41.6343 |
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+ | 0.2632 | 2.5751 | 600 | 0.4645 | 37.8113 |
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+ | 0.2701 | 3.0043 | 700 | 0.4461 | 37.3347 |
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+ | 0.1499 | 3.4335 | 800 | 0.5147 | 40.4414 |
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+ | 0.1596 | 3.8627 | 900 | 0.5218 | 41.5292 |
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+ | 0.1073 | 4.2918 | 1000 | 0.5668 | 39.3977 |
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+ | 0.0888 | 4.7210 | 1100 | 0.5665 | 39.4393 |
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+ | 0.0738 | 5.1502 | 1200 | 0.6428 | 39.6104 |
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+ | 0.0495 | 5.5794 | 1300 | 0.5914 | 41.9007 |
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+ | 0.0512 | 6.0086 | 1400 | 0.6297 | 41.4950 |
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+ | 0.0315 | 6.4378 | 1500 | 0.6753 | 44.4477 |
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+ | 0.034 | 6.8670 | 1600 | 0.6906 | 38.4151 |
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+ | 0.023 | 7.2961 | 1700 | 0.6998 | 40.0821 |
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+ | 0.0251 | 7.7253 | 1800 | 0.7130 | 43.1693 |
 
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  ### Framework versions
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