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--- |
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language: |
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- spa |
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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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datasets: |
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- CIEMPIESS |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small Spanish |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: CIEMPIESS |
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type: CIEMPIESS |
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args: 'config: spa, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.38445504655148455 |
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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 Spanish |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the CIEMPIESS dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0152 |
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- Wer: 0.3845 |
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 1000 |
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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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| 0.2277 | 0.4484 | 100 | 0.2420 | 9.5187 | |
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| 0.2788 | 0.8969 | 200 | 0.1965 | 7.9300 | |
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| 0.1799 | 1.3453 | 300 | 0.1541 | 6.9804 | |
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| 0.158 | 1.7937 | 400 | 0.1121 | 5.4762 | |
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| 0.0926 | 2.2422 | 500 | 0.0810 | 4.1792 | |
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| 0.0912 | 2.6906 | 600 | 0.0584 | 3.7438 | |
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| 0.0451 | 3.1390 | 700 | 0.0364 | 2.4318 | |
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| 0.0416 | 3.5874 | 800 | 0.0261 | 1.3271 | |
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| 0.0312 | 4.0359 | 900 | 0.0178 | 0.4736 | |
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| 0.015 | 4.4843 | 1000 | 0.0152 | 0.3845 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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