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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: openai/whisper-small |
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model-index: |
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- name: Whisper-small-speechocean |
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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-small-speechocean |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co./openai/whisper-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5759 |
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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: 0.001 |
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- train_batch_size: 6 |
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- eval_batch_size: 6 |
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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: 50 |
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- num_epochs: 10 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.9894 | 1.0 | 417 | 1.7665 | |
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| 0.8028 | 2.0 | 834 | 0.7597 | |
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| 0.6486 | 3.0 | 1251 | 0.5817 | |
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| 0.471 | 4.0 | 1668 | 0.5405 | |
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| 0.3168 | 5.0 | 2085 | 0.5099 | |
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| 0.2274 | 6.0 | 2502 | 0.5287 | |
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| 0.1328 | 7.0 | 2919 | 0.5458 | |
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| 0.0787 | 8.0 | 3336 | 0.5511 | |
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| 0.0306 | 9.0 | 3753 | 0.5689 | |
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| 0.0179 | 10.0 | 4170 | 0.5759 | |
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### Framework versions |
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- PEFT 0.8.0 |
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- Transformers 4.40.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
