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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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- bleu |
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model-index: |
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- name: whisper-small-es-ja |
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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-es-ja |
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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: 1.1884 |
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- Bleu: 19.9880 |
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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-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- total_train_batch_size: 32 |
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- total_eval_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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- training_steps: 1500 |
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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 | Bleu | |
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|:-------------:|:------:|:----:|:---------------:|:-------:| |
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| 1.4562 | 0.7911 | 250 | 1.4257 | 13.1050 | |
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| 1.1315 | 1.5823 | 500 | 1.2744 | 16.8159 | |
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| 0.9172 | 2.3734 | 750 | 1.2167 | 18.6278 | |
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| 0.7598 | 3.1646 | 1000 | 1.1958 | 20.1775 | |
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| 0.7627 | 3.9557 | 1250 | 1.1817 | 20.0966 | |
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| 0.6803 | 4.7468 | 1500 | 1.1884 | 19.9880 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.4.0+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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