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--- |
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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-medium |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_13_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Medium 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: mozilla-foundation/common_voice_13_0 es |
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type: mozilla-foundation/common_voice_13_0 |
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config: es |
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split: test |
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args: es |
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metrics: |
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- name: Wer |
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type: wer |
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value: 5.408751772230669 |
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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 Medium Spanish |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_13_0 es dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1915 |
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- Wer: 5.4088 |
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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: 64 |
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- eval_batch_size: 32 |
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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: 10000 |
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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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| 0.0917 | 2.0 | 1000 | 0.1944 | 6.8560 | |
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| 0.0927 | 4.0 | 2000 | 0.1817 | 6.1439 | |
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| 0.0456 | 6.01 | 3000 | 0.1805 | 6.2626 | |
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| 0.0343 | 8.01 | 4000 | 0.2097 | 6.1773 | |
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| 0.0046 | 10.01 | 5000 | 0.2292 | 5.9374 | |
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| 0.0829 | 12.01 | 6000 | 0.1814 | 6.0644 | |
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| 0.0021 | 14.01 | 7000 | 0.2318 | 5.7096 | |
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| 0.0288 | 16.01 | 8000 | 0.1871 | 5.5755 | |
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| 0.1297 | 18.02 | 9000 | 0.1831 | 5.6885 | |
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| 0.0377 | 20.02 | 10000 | 0.1915 | 5.4088 | |
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### Framework versions |
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- Transformers 4.33.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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