| --- |
| library_name: transformers |
| language: |
| - en |
| license: apache-2.0 |
| base_model: openai/whisper-tiny |
| tags: |
| - hf-asr-leaderboard |
| - generated_from_trainer |
| datasets: |
| - Spanish_english |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper tiny Spanish |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Spanish English |
| type: Spanish_english |
| args: 'config: default, split: test' |
| metrics: |
| - name: Wer |
| type: wer |
| value: 81.5477909327173 |
| --- |
| |
| <!-- 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. --> |
|
|
| # Whisper tiny Spanish |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Spanish English dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.6335 |
| - Wer: 81.5478 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 |
| - training_steps: 2000 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:-------:| |
| | 0.6927 | 3.6630 | 1000 | 1.6329 | 77.3607 | |
| | 0.1502 | 7.3260 | 2000 | 1.6335 | 81.5478 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.57.0.dev0 |
| - Pytorch 2.8.0+cu126 |
| - Datasets 4.2.0 |
| - Tokenizers 0.22.1 |
|
|
