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update model card README.md
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README.md
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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 31.4005
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- Cer: 9.9570
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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:
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- eval_batch_size:
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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: 500
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- training_steps:
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- mixed_precision_training: Native AMP
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### Training results
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| 0.2055 | 3.32 | 28000 | 6.8624 | 0.3995 | 18.7612 |
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| 0.175 | 3.44 | 29000 | 6.7727 | 0.4009 | 18.4814 |
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| 0.1701 | 3.56 | 30000 | 7.0136 | 0.3998 | 18.8344 |
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### Framework versions
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7910
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- Wer: 31.4005
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- Cer: 9.9570
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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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- 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: 35000
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- mixed_precision_training: Native AMP
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### Training results
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| 0.2055 | 3.32 | 28000 | 6.8624 | 0.3995 | 18.7612 |
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| 0.175 | 3.44 | 29000 | 6.7727 | 0.4009 | 18.4814 |
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| 0.1701 | 3.56 | 30000 | 7.0136 | 0.3998 | 18.8344 |
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| 0.6832 | 33.81 | 31000 | 0.5425 | 24.6216 | 7.8509 |
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| 0.5676 | 34.9 | 32000 | 0.5141 | 23.6790 | 7.3776 |
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| 0.4863 | 35.99 | 33000 | 0.5003 | 23.0542 | 7.2441 |
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| 0.5007 | 37.08 | 34000 | 0.4948 | 22.9234 | 7.1545 |
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| 0.4519 | 38.17 | 35000 | 0.4922 | 22.8248 | 7.1257 |
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### Framework versions
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