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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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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: whisper-nm-no-ls |
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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-nm-no-ls |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1565 |
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- Wer: 11.1562 |
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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: 0.0004 |
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 132 |
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- num_epochs: 11 |
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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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| No log | 1.0 | 33 | 0.1768 | 8.9249 | |
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| No log | 2.0 | 66 | 0.2439 | 20.8925 | |
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| No log | 3.0 | 99 | 0.4285 | 255.7809 | |
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| 1.2232 | 4.0 | 132 | 0.2449 | 26.3692 | |
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| 1.2232 | 5.0 | 165 | 0.5282 | 37.9310 | |
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| 1.2232 | 6.0 | 198 | 0.2170 | 25.3550 | |
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| 0.3525 | 7.0 | 231 | 0.1980 | 74.4422 | |
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| 0.3525 | 8.0 | 264 | 0.1585 | 14.6045 | |
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| 0.3525 | 9.0 | 297 | 0.1963 | 18.0527 | |
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| 0.0919 | 10.0 | 330 | 0.1787 | 12.9817 | |
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| 0.0919 | 11.0 | 363 | 0.1565 | 11.1562 | |
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### Framework versions |
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- Transformers 4.47.0.dev0 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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