| --- |
| library_name: transformers |
| license: mit |
| base_model: openai/whisper-large-v3-turbo |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: edcastr_ASR_LatinSpanishAllLocale |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # edcastr_ASR_LatinSpanishAllLocale |
|
|
| This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0260 |
| - Wer: 0.0146 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 64 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 128 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 0.2915 | 5.0 | 200 | 0.0260 | 0.0146 | |
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|
| ### Framework versions |
|
|
| - Transformers 5.5.0 |
| - Pytorch 2.5.1+cu121 |
| - Datasets 4.8.4 |
| - Tokenizers 0.22.2 |
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|
