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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-nomi-18 |
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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-nomi-18 |
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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: 0.0346 |
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- Wer: 14.4772 |
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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: 18 |
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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 | 88 | 0.0813 | 11.4388 | |
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| 0.944 | 2.0 | 176 | 0.0636 | 11.2601 | |
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| 0.1726 | 3.0 | 264 | 0.0395 | 16.1752 | |
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| 0.0661 | 4.0 | 352 | 0.0895 | 25.7373 | |
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| 0.145 | 5.0 | 440 | 0.0627 | 19.9285 | |
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| 0.0218 | 6.0 | 528 | 0.0481 | 8.3110 | |
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| 0.0187 | 7.0 | 616 | 0.0782 | 23.0563 | |
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| 0.0282 | 8.0 | 704 | 0.0435 | 16.6220 | |
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| 0.0282 | 9.0 | 792 | 0.0284 | 11.7069 | |
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| 0.0055 | 10.0 | 880 | 0.0338 | 17.0688 | |
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| 0.0027 | 11.0 | 968 | 0.0463 | 17.3369 | |
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| 0.0039 | 12.0 | 1056 | 0.0362 | 11.6175 | |
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| 0.0038 | 13.0 | 1144 | 0.0353 | 14.6559 | |
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| 0.0014 | 14.0 | 1232 | 0.0347 | 14.5666 | |
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| 0.0 | 15.0 | 1320 | 0.0346 | 14.4772 | |
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| 0.0 | 16.0 | 1408 | 0.0346 | 14.4772 | |
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| 0.0 | 17.0 | 1496 | 0.0346 | 14.4772 | |
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| 0.0 | 18.0 | 1584 | 0.0346 | 14.4772 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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- Pytorch 2.4.0 |
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- Datasets 3.1.0 |
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- Tokenizers 0.21.0 |
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