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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-bn-09092023 |
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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-bn-09092023 |
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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: 0.0498 |
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- Wer: 7.7181 |
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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: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 256 |
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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: 2500 |
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- training_steps: 8000 |
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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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| 0.4968 | 0.16 | 400 | 0.3922 | 44.0283 | |
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| 0.2059 | 0.32 | 800 | 0.1848 | 27.1190 | |
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| 0.1486 | 0.48 | 1200 | 0.1359 | 20.7105 | |
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| 0.1203 | 0.64 | 1600 | 0.1094 | 16.8171 | |
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| 0.1032 | 0.79 | 2000 | 0.0938 | 14.5648 | |
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| 0.0912 | 0.95 | 2400 | 0.0816 | 12.6067 | |
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| 0.0778 | 1.11 | 2800 | 0.0749 | 11.5556 | |
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| 0.0717 | 1.27 | 3200 | 0.0686 | 10.8017 | |
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| 0.0676 | 1.43 | 3600 | 0.0639 | 9.7786 | |
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| 0.0641 | 1.59 | 4000 | 0.0607 | 9.4620 | |
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| 0.0622 | 1.75 | 4400 | 0.0588 | 9.2326 | |
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| 0.0597 | 1.91 | 4800 | 0.0561 | 8.8085 | |
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| 0.0498 | 2.07 | 5200 | 0.0546 | 8.3926 | |
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| 0.0493 | 2.23 | 5600 | 0.0539 | 8.3443 | |
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| 0.0483 | 2.38 | 6000 | 0.0525 | 8.1459 | |
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| 0.0478 | 2.54 | 6400 | 0.0518 | 8.0740 | |
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| 0.0472 | 2.7 | 6800 | 0.0510 | 7.9834 | |
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| 0.0463 | 2.86 | 7200 | 0.0502 | 7.7784 | |
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| 0.0439 | 3.02 | 7600 | 0.0499 | 7.7532 | |
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| 0.0407 | 3.18 | 8000 | 0.0498 | 7.7181 | |
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### Framework versions |
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- Transformers 4.32.1 |
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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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