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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: English-3
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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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# English-3
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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: 0.0008
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- Wer: 8.1694
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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: 5e-05
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- train_batch_size: 8
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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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- num_epochs: 10
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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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| No log | 1.0 | 11 | 0.5281 | 37.8215 |
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| No log | 2.0 | 22 | 0.1894 | 13.0106 |
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| No log | 3.0 | 33 | 0.1160 | 36.7625 |
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| No log | 4.0 | 44 | 0.0543 | 10.5900 |
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| No log | 5.0 | 55 | 0.0576 | 12.8593 |
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| No log | 6.0 | 66 | 0.0509 | 8.3207 |
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| No log | 7.0 | 77 | 0.0121 | 7.5643 |
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| No log | 8.0 | 88 | 0.0025 | 7.5643 |
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| No log | 9.0 | 99 | 0.0010 | 8.1694 |
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| No log | 10.0 | 110 | 0.0008 | 8.1694 |
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### Framework versions
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- Transformers 4.30.0.dev0
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.13.3
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