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End of training

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README.md CHANGED
@@ -18,7 +18,7 @@ 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 the mozilla-foundation/common_voice_6_1 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4050
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  ## Model description
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@@ -44,25 +44,33 @@ The following hyperparameters were used during training:
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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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- - num_epochs: 12
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 15 | 2.2933 |
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- | 1.9518 | 2.0 | 30 | 2.0861 |
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- | 1.9518 | 3.0 | 45 | 1.7375 |
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- | 1.1576 | 4.0 | 60 | 1.4904 |
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- | 0.3487 | 5.0 | 75 | 1.4023 |
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- | 0.3487 | 6.0 | 90 | 1.3944 |
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- | 0.1202 | 7.0 | 105 | 1.4065 |
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- | 0.1202 | 8.0 | 120 | 1.3962 |
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- | 0.039 | 9.0 | 135 | 1.3982 |
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- | 0.0143 | 10.0 | 150 | 1.4102 |
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- | 0.0143 | 11.0 | 165 | 1.4045 |
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- | 0.0097 | 12.0 | 180 | 1.4050 |
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_6_1 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4867
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  ## Model description
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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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+ - num_epochs: 20
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 15 | 2.3256 |
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+ | 1.8865 | 2.0 | 30 | 2.1013 |
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+ | 1.8865 | 3.0 | 45 | 1.6160 |
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+ | 1.0013 | 4.0 | 60 | 1.5231 |
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+ | 0.292 | 5.0 | 75 | 1.5076 |
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+ | 0.292 | 6.0 | 90 | 1.4960 |
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+ | 0.1192 | 7.0 | 105 | 1.4306 |
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+ | 0.1192 | 8.0 | 120 | 1.4704 |
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+ | 0.0475 | 9.0 | 135 | 1.4549 |
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+ | 0.019 | 10.0 | 150 | 1.4525 |
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+ | 0.019 | 11.0 | 165 | 1.4633 |
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+ | 0.0074 | 12.0 | 180 | 1.4670 |
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+ | 0.0074 | 13.0 | 195 | 1.4709 |
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+ | 0.0048 | 14.0 | 210 | 1.4759 |
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+ | 0.004 | 15.0 | 225 | 1.4792 |
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+ | 0.004 | 16.0 | 240 | 1.4820 |
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+ | 0.0035 | 17.0 | 255 | 1.4841 |
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+ | 0.0035 | 18.0 | 270 | 1.4855 |
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+ | 0.0033 | 19.0 | 285 | 1.4862 |
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+ | 0.0032 | 20.0 | 300 | 1.4867 |
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  ### Framework versions
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