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README.md
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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: whisper-small
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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
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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: 0.1540
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- Wer: 13.8083
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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: 64
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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: 10000
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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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| 2.3889 | 0.0 | 1 | 3.1044 | 49.3314 |
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| 0.174 | 0.29 | 1000 | 0.2346 | 20.9796 |
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| 0.1521 | 0.58 | 2000 | 0.1945 | 17.9616 |
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| 0.1301 | 0.88 | 3000 | 0.1747 | 16.2713 |
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| 0.0951 | 1.17 | 4000 | 0.1684 | 15.3962 |
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| 0.0955 | 1.46 | 5000 | 0.1606 | 14.7689 |
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| 0.096 | 1.75 | 6000 | 0.1561 | 14.3492 |
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| 0.0668 | 2.04 | 7000 | 0.1554 | 14.0853 |
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| 0.062 | 2.34 | 8000 | 0.1555 | 14.0599 |
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| 0.0664 | 2.63 | 9000 | 0.1548 | 13.9191 |
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| 0.0678 | 2.92 | 10000 | 0.1540 | 13.8083 |
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### Framework versions
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- Transformers 4.27.4
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- Pytorch 2.0.0
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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