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--- |
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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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metrics: |
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- wer |
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model-index: |
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- name: whisper-small-eng |
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results: [] |
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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-eng |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5746 |
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- Wer: 24.4747 |
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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: 0.0001 |
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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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- distributed_type: multi-GPU |
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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: 50 |
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- training_steps: 1000 |
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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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| 0.7025 | 0.03 | 100 | 0.6855 | 36.9988 | |
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| 0.7478 | 0.07 | 200 | 0.8034 | 35.4196 | |
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| 0.7516 | 0.1 | 300 | 0.7854 | 31.8551 | |
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| 0.7175 | 0.13 | 400 | 0.7868 | 32.9444 | |
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| 0.6748 | 0.17 | 500 | 0.7239 | 31.1203 | |
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| 0.6739 | 0.2 | 600 | 0.7045 | 29.7473 | |
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| 0.6262 | 0.24 | 700 | 0.6620 | 27.1239 | |
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| 0.585 | 0.27 | 800 | 0.6254 | 26.6147 | |
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| 0.5305 | 0.3 | 900 | 0.5877 | 24.6552 | |
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| 0.5463 | 0.34 | 1000 | 0.5746 | 24.4747 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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