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End of training

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README.md CHANGED
@@ -22,8 +22,8 @@ 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 16.0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8716
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- - Wer: 52.4832
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  ## Model description
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@@ -42,7 +42,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-08
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  - train_batch_size: 10
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  - eval_batch_size: 10
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  - seed: 42
@@ -51,22 +51,32 @@ 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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- - 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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- | 0.0002 | 0.16 | 100 | 0.8707 | 51.8989 |
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- | 0.0002 | 0.31 | 200 | 0.8713 | 52.1447 |
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- | 0.0002 | 0.47 | 300 | 0.8716 | 52.1377 |
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- | 0.0002 | 0.62 | 400 | 0.8717 | 52.2907 |
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- | 0.0015 | 0.78 | 500 | 0.8718 | 52.4762 |
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- | 0.0002 | 0.93 | 600 | 0.8716 | 52.4878 |
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- | 0.0002 | 1.09 | 700 | 0.8716 | 52.4901 |
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- | 0.0001 | 1.25 | 800 | 0.8716 | 52.4832 |
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- | 0.0002 | 1.4 | 900 | 0.8716 | 52.4832 |
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- | 0.0002 | 1.56 | 1000 | 0.8716 | 52.4832 |
 
 
 
 
 
 
 
 
 
 
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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 16.0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7543
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+ - Wer: 46.0283
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  ## Model description
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  ### Training hyperparameters
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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: 10
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  - eval_batch_size: 10
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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: 50
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+ - training_steps: 2000
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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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+ | 0.0137 | 0.16 | 100 | 0.7336 | 48.8685 |
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+ | 0.0153 | 0.31 | 200 | 0.7163 | 45.0962 |
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+ | 0.016 | 0.47 | 300 | 0.7235 | 45.9726 |
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+ | 0.0133 | 0.62 | 400 | 0.7356 | 45.7130 |
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+ | 0.0186 | 0.78 | 500 | 0.6912 | 44.0760 |
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+ | 0.012 | 0.93 | 600 | 0.6939 | 44.9664 |
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+ | 0.0092 | 1.09 | 700 | 0.7184 | 44.8180 |
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+ | 0.0071 | 1.25 | 800 | 0.7321 | 44.0691 |
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+ | 0.0072 | 1.4 | 900 | 0.7485 | 46.3714 |
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+ | 0.0061 | 1.56 | 1000 | 0.7180 | 44.9502 |
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+ | 0.0063 | 1.71 | 1100 | 0.7036 | 46.2741 |
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+ | 0.004 | 1.87 | 1200 | 0.7296 | 45.0684 |
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+ | 0.0036 | 2.03 | 1300 | 0.7275 | 46.3158 |
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+ | 0.002 | 2.18 | 1400 | 0.7432 | 45.9332 |
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+ | 0.0014 | 2.34 | 1500 | 0.7472 | 45.5692 |
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+ | 0.0012 | 2.49 | 1600 | 0.7408 | 44.7902 |
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+ | 0.0201 | 2.65 | 1700 | 0.7566 | 45.7593 |
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+ | 0.0011 | 2.8 | 1800 | 0.7551 | 45.3327 |
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+ | 0.0011 | 2.96 | 1900 | 0.7550 | 46.1720 |
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+ | 0.0004 | 3.12 | 2000 | 0.7543 | 46.0283 |
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  ### Framework versions
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