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--- |
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library_name: transformers |
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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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- common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: whishper |
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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: common_voice_11_0 |
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type: common_voice_11_0 |
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config: ta |
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split: test |
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args: ta |
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metrics: |
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- name: Wer |
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type: wer |
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value: 72.24880382775119 |
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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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# whishper |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_11_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5474 |
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- Wer: 72.2488 |
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- Cer: 29.9605 |
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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: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.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: 2 |
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- num_epochs: 0.5 |
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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 | Cer | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:--------:| |
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| 0.2442 | 0.0333 | 5 | 0.8071 | 140.3509 | 157.0811 | |
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| 0.2386 | 0.0667 | 10 | 0.7964 | 146.2520 | 136.7877 | |
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| 0.3848 | 0.1 | 15 | 0.7687 | 146.8900 | 111.5479 | |
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| 0.3015 | 0.1333 | 20 | 0.7213 | 157.0973 | 126.8761 | |
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| 0.2178 | 0.1667 | 25 | 0.6916 | 159.1707 | 144.8561 | |
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| 0.2314 | 0.2 | 30 | 0.6551 | 149.6013 | 125.3526 | |
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| 0.2112 | 0.2333 | 35 | 0.6239 | 99.3620 | 64.2844 | |
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| 0.1571 | 0.2667 | 40 | 0.5794 | 76.5550 | 35.1514 | |
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| 0.1934 | 0.3 | 45 | 0.5547 | 73.0463 | 33.7596 | |
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| 0.3231 | 0.3333 | 50 | 0.5474 | 72.2488 | 29.9605 | |
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| 0.1035 | 0.3667 | 55 | 0.5434 | 72.5678 | 32.3491 | |
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| 0.1991 | 0.4 | 60 | 0.5454 | 74.0032 | 31.4275 | |
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| 0.196 | 0.4333 | 65 | 0.5495 | 73.5247 | 36.0166 | |
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| 0.4541 | 0.4667 | 70 | 0.5448 | 73.3652 | 38.5556 | |
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| 0.2166 | 0.5 | 75 | 0.5418 | 73.3652 | 39.3455 | |
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### Framework versions |
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- Transformers 4.50.0.dev0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
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