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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-a-nomimose-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-a-nomimose-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: 0.0225 |
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- Wer: 39.3068 |
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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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| 0.9697 | 1.0 | 109 | 0.1804 | 43.4366 | |
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| 0.1049 | 2.0 | 218 | 0.0635 | 24.7050 | |
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| 0.0649 | 3.0 | 327 | 0.0376 | 13.4218 | |
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| 0.0659 | 4.0 | 436 | 0.0545 | 12.0944 | |
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| 0.0301 | 5.0 | 545 | 0.0538 | 23.2301 | |
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| 0.0382 | 6.0 | 654 | 0.0335 | 25.0737 | |
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| 0.0176 | 7.0 | 763 | 0.0253 | 28.9086 | |
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| 0.0153 | 8.0 | 872 | 0.0258 | 26.9174 | |
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| 0.0082 | 9.0 | 981 | 0.0257 | 51.4749 | |
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| 0.0054 | 10.0 | 1090 | 0.0222 | 42.5516 | |
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| 0.0036 | 10.9032 | 1188 | 0.0225 | 39.3068 | |
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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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