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--- |
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library_name: transformers |
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language: |
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- es |
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license: apache-2.0 |
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base_model: openai/whisper-large-v3 |
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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 large LoRA Merged Es - Jbautistas |
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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 large LoRA Merged Es - Jbautistas |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7153 |
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- Wer: 58.9379 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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: 500 |
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- num_epochs: 30 |
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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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| 1.4943 | 6.2759 | 50 | 1.1849 | 58.2648 | |
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| 1.1692 | 12.5517 | 100 | 1.0537 | 56.2453 | |
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| 0.9958 | 18.8276 | 150 | 0.8947 | 54.8990 | |
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| 0.7308 | 25.0 | 200 | 0.7153 | 58.9379 | |
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### Framework versions |
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- Transformers 4.56.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.22.0 |
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