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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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datasets: |
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- librispeech |
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model-index: |
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- name: Whisper Small English 1h |
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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 English 1h |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the librispeech dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9444 |
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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-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 4 |
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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: 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: 20 |
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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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| No log | 0.9744 | 19 | 2.1407 | |
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| 1.3439 | 2.0 | 39 | 2.1284 | |
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| 1.3611 | 2.9744 | 58 | 2.1101 | |
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| 1.3218 | 4.0 | 78 | 2.0900 | |
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| 1.3218 | 4.9744 | 97 | 2.0717 | |
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| 1.3312 | 6.0 | 117 | 2.0546 | |
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| 1.3108 | 6.9744 | 136 | 2.0389 | |
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| 1.2979 | 8.0 | 156 | 2.0235 | |
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| 1.2662 | 8.9744 | 175 | 2.0105 | |
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| 1.2662 | 10.0 | 195 | 1.9979 | |
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| 1.2706 | 10.9744 | 214 | 1.9876 | |
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| 1.2673 | 12.0 | 234 | 1.9781 | |
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| 1.2302 | 12.9744 | 253 | 1.9695 | |
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| 1.2302 | 14.0 | 273 | 1.9620 | |
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| 1.2478 | 14.9744 | 292 | 1.9564 | |
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| 1.2536 | 16.0 | 312 | 1.9516 | |
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| 1.2125 | 16.9744 | 331 | 1.9480 | |
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| 1.2406 | 18.0 | 351 | 1.9457 | |
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| 1.2406 | 18.9744 | 370 | 1.9445 | |
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| 1.218 | 19.4872 | 380 | 1.9444 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
