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--- |
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base_model: openai/whisper-small |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: whisper_1908 |
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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_1908 |
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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: 0.6217 |
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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: 0.0001 |
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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: 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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| 4.2051 | 1.0 | 9 | 3.9683 | |
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| 3.3557 | 2.0 | 18 | 3.3184 | |
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| 2.6936 | 3.0 | 27 | 2.6472 | |
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| 1.8713 | 4.0 | 36 | 1.8930 | |
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| 1.2406 | 5.0 | 45 | 0.9416 | |
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| 1.4966 | 6.0 | 54 | 0.8827 | |
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| 0.6747 | 7.0 | 63 | 0.7407 | |
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| 0.6202 | 8.0 | 72 | 0.6670 | |
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| 0.5733 | 9.0 | 81 | 0.6357 | |
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| 0.5327 | 10.0 | 90 | 0.6217 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
