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End of training

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README.md CHANGED
@@ -21,8 +21,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [makhataei/Whisper-Small-Common-Voice](https://huggingface.co/makhataei/Whisper-Small-Common-Voice) on the Common Voice 17.0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7171
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- - Wer: 45.7260
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  ## Model description
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@@ -49,23 +49,23 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 40
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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: 50
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- - training_steps: 1000
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|
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- | 0.0016 | 0.15 | 100 | 0.7187 | 45.7353 |
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- | 0.0019 | 0.31 | 200 | 0.7200 | 45.5897 |
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- | 0.0027 | 0.46 | 300 | 0.7182 | 45.4625 |
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- | 0.0026 | 0.61 | 400 | 0.7183 | 45.3423 |
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- | 0.0029 | 0.77 | 500 | 0.7180 | 45.2845 |
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- | 0.0075 | 0.92 | 600 | 0.7182 | 45.7723 |
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- | 0.0301 | 1.07 | 700 | 0.7169 | 45.7445 |
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- | 0.0025 | 1.23 | 800 | 0.7168 | 45.7492 |
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- | 0.003 | 1.38 | 900 | 0.7171 | 45.7237 |
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- | 0.0028 | 1.53 | 1000 | 0.7171 | 45.7260 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [makhataei/Whisper-Small-Common-Voice](https://huggingface.co/makhataei/Whisper-Small-Common-Voice) on the Common Voice 17.0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7188
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+ - Wer: 45.7630
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  ## Model description
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  - total_train_batch_size: 40
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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: 5
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+ - training_steps: 100
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.0078 | 0.02 | 10 | 0.7181 | 45.7538 |
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+ | 0.0033 | 0.03 | 20 | 0.7180 | 45.8093 |
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+ | 0.0007 | 0.05 | 30 | 0.7180 | 45.7861 |
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+ | 0.0006 | 0.06 | 40 | 0.7182 | 45.7792 |
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+ | 0.0007 | 0.08 | 50 | 0.7185 | 45.7653 |
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+ | 0.0007 | 0.09 | 60 | 0.7187 | 45.7630 |
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+ | 0.0006 | 0.11 | 70 | 0.7187 | 45.7653 |
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+ | 0.0037 | 0.12 | 80 | 0.7187 | 45.7700 |
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+ | 0.0007 | 0.14 | 90 | 0.7188 | 45.7607 |
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+ | 0.0005 | 0.15 | 100 | 0.7188 | 45.7630 |
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  ### Framework versions
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