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End of training

Browse files
README.md CHANGED
@@ -8,6 +8,8 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - mozilla-foundation/common_voice_16_0
 
 
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  model-index:
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  - name: Whisper Small Persian
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  results: []
@@ -19,6 +21,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # Whisper Small Persian
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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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  ## Model description
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@@ -37,7 +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-07
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  - train_batch_size: 10
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  - eval_batch_size: 10
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  - seed: 42
@@ -45,8 +50,24 @@ 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: 500
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- - training_steps: 10000
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  - generated_from_trainer
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  datasets:
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  - mozilla-foundation/common_voice_16_0
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+ metrics:
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+ - wer
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  model-index:
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  - name: Whisper Small Persian
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  results: []
 
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  # Whisper Small Persian
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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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  ### 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
 
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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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+
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+ ### Training results
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+
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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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+
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  ### Framework versions
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