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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: openai/whisper-small.en |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: rishabhjain16/infer_myst |
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type: rishabhjain16/infer_myst |
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config: en |
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split: test |
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metrics: |
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- type: wer |
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value: 12.66 |
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name: WER |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: rishabhjain16/infer_cmu |
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type: rishabhjain16/infer_cmu |
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config: en |
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split: test |
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metrics: |
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- type: wer |
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value: 10.06 |
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name: WER |
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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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# openai/whisper-small.en |
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This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5806 |
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- Wer: 12.9802 |
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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: 3000 |
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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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| 0.1886 | 2.01 | 500 | 0.3621 | 11.9972 | |
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| 0.187 | 4.03 | 1000 | 0.3786 | 12.3615 | |
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| 0.0285 | 6.04 | 1500 | 0.4436 | 12.5951 | |
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| 0.0319 | 8.06 | 2000 | 0.5057 | 12.8262 | |
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| 0.0044 | 10.07 | 2500 | 0.5620 | 13.1238 | |
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| 0.0054 | 13.01 | 3000 | 0.5806 | 12.9802 | |
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### Framework versions |
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- Transformers 4.27.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.9.1.dev0 |
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- Tokenizers 0.13.2 |
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