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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: model |
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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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# model |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.0046 |
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- Wer: 116.8945 |
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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: 8 |
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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: 8000 |
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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 | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.5232 | 4.95 | 1000 | 3.6227 | 127.2695 | |
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| 0.0538 | 9.9 | 2000 | 4.3761 | 125.3417 | |
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| 0.0166 | 14.85 | 3000 | 4.6306 | 114.6863 | |
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| 0.0008 | 19.8 | 4000 | 4.7625 | 116.3687 | |
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| 0.0022 | 24.75 | 5000 | 4.9290 | 116.0182 | |
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| 0.0002 | 29.7 | 6000 | 4.9100 | 118.2264 | |
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| 0.0001 | 34.65 | 7000 | 4.9886 | 116.5089 | |
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| 0.0001 | 39.6 | 8000 | 5.0046 | 116.8945 | |
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### Framework versions |
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- Transformers 4.25.0.dev0 |
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- Pytorch 1.12.0+cu116 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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