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--- |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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tags: |
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- generated_from_trainer |
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datasets: |
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- PolyAI/minds14 |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-tiny-finetuned-minds14 |
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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: PolyAI/minds14 |
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type: PolyAI/minds14 |
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config: en-US |
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split: train[450:] |
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args: en-US |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.3370720188902007 |
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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-tiny-finetuned-minds14 |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5953 |
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- Wer Ortho: 0.3516 |
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- Wer: 0.3371 |
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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: 16 |
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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: constant_with_warmup |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 500 |
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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 Ortho | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:| |
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| 3.9735 | 0.89 | 25 | 2.8501 | 0.5281 | 0.3979 | |
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| 1.8774 | 1.79 | 50 | 0.8237 | 0.4405 | 0.4067 | |
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| 0.53 | 2.68 | 75 | 0.5823 | 0.3874 | 0.3695 | |
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| 0.2962 | 3.57 | 100 | 0.5374 | 0.3726 | 0.3642 | |
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| 0.1982 | 4.46 | 125 | 0.5273 | 0.3658 | 0.3571 | |
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| 0.1361 | 5.36 | 150 | 0.5435 | 0.3701 | 0.3548 | |
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| 0.0711 | 6.25 | 175 | 0.5489 | 0.3609 | 0.3483 | |
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| 0.0387 | 7.14 | 200 | 0.5826 | 0.3664 | 0.3566 | |
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| 0.0221 | 8.04 | 225 | 0.5953 | 0.3516 | 0.3371 | |
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| 0.0123 | 8.93 | 250 | 0.6145 | 0.3510 | 0.3418 | |
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| 0.0061 | 9.82 | 275 | 0.6406 | 0.3597 | 0.3542 | |
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| 0.0041 | 10.71 | 300 | 0.6311 | 0.3479 | 0.3406 | |
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| 0.003 | 11.61 | 325 | 0.6513 | 0.3701 | 0.3619 | |
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| 0.0019 | 12.5 | 350 | 0.6630 | 0.3652 | 0.3613 | |
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| 0.0025 | 13.39 | 375 | 0.6672 | 0.3634 | 0.3601 | |
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| 0.0023 | 14.29 | 400 | 0.6738 | 0.3442 | 0.3418 | |
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| 0.0011 | 15.18 | 425 | 0.6746 | 0.3461 | 0.3436 | |
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| 0.0012 | 16.07 | 450 | 0.6788 | 0.3442 | 0.3430 | |
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| 0.0013 | 16.96 | 475 | 0.6865 | 0.3448 | 0.3447 | |
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| 0.0009 | 17.86 | 500 | 0.6921 | 0.3467 | 0.3459 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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