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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- audiofolder |
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model-index: |
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- name: whisper-base-mixedv1.4 |
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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-base-mixedv1.4 |
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This model was trained from scratch on the audiofolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3061 |
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- Cer: 9.5109 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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: 2 |
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- eval_batch_size: 8 |
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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: 4000 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 0.0363 | 8.85 | 1000 | 0.3010 | 10.1630 | |
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| 0.0003 | 17.7 | 2000 | 0.2905 | 9.1304 | |
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| 0.0003 | 26.55 | 3000 | 0.3068 | 9.0217 | |
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| 0.0001 | 35.4 | 4000 | 0.3061 | 9.5109 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.1 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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