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End of training

Browse files
README.md CHANGED
@@ -9,19 +9,19 @@ tags:
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  metrics:
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  - wer
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  model-index:
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- - name: openai/whisper-medium
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # openai/whisper-medium
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Personal - Mimic Recording dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1558
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- - Wer: 0.0674
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  ## Model description
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@@ -40,15 +40,15 @@ 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-05
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- - train_batch_size: 4
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- - eval_batch_size: 4
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  - seed: 42
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  - gradient_accumulation_steps: 2
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- - total_train_batch_size: 8
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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: 150
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  - num_epochs: 5
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  - mixed_precision_training: Native AMP
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@@ -56,11 +56,11 @@ 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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- | 0.3794 | 0.9966 | 146 | 0.1997 | 0.1031 |
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- | 0.085 | 2.0 | 293 | 0.1471 | 0.0843 |
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- | 0.0156 | 2.9966 | 439 | 0.1455 | 0.0690 |
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- | 0.0052 | 4.0 | 586 | 0.1518 | 0.0681 |
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- | 0.001 | 4.9829 | 730 | 0.1558 | 0.0674 |
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  ### Framework versions
 
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  metrics:
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  - wer
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  model-index:
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+ - name: Whisper Tiny
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # Whisper Tiny
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Personal - Mimic Recording dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1404
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+ - Wer: 0.0645
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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: 2e-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: 75
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  - num_epochs: 5
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  - mixed_precision_training: Native AMP
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:------:|
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+ | 0.3839 | 0.9932 | 73 | 0.1968 | 0.0975 |
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+ | 0.0763 | 2.0 | 147 | 0.1418 | 0.0879 |
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+ | 0.017 | 2.9932 | 220 | 0.1410 | 0.1200 |
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+ | 0.0058 | 4.0 | 294 | 0.1404 | 0.0645 |
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+ | 0.0014 | 4.9660 | 365 | 0.1396 | 0.0647 |
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  ### Framework versions
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