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update model card README.md
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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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datasets:
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- common_voice_11_0
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metrics:
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- wer
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model-index:
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- name: openai/whisper-small
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: common_voice_11_0
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type: common_voice_11_0
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config: en
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split: test
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args: en
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metrics:
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- name: Wer
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type: wer
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value: 13.058509783761204
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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
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_11_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3269
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- Wer: 13.0585
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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: 32
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- eval_batch_size: 16
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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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| 0.1537 | 0.1 | 1000 | 0.4405 | 17.9276 |
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| 0.2378 | 0.2 | 2000 | 0.4009 | 15.9888 |
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| 0.1709 | 0.3 | 3000 | 0.3852 | 15.4953 |
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| 0.2792 | 0.4 | 4000 | 0.3699 | 14.8758 |
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| 0.2172 | 0.5 | 5000 | 0.3577 | 14.2660 |
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| 0.3616 | 0.6 | 6000 | 0.4042 | 18.1846 |
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| 0.2456 | 0.7 | 7000 | 0.3375 | 13.3091 |
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| 0.2505 | 0.8 | 8000 | 0.3395 | 13.6227 |
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| 0.2563 | 0.9 | 9000 | 0.3305 | 13.1408 |
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| 0.2395 | 1.0 | 10000 | 0.3269 | 13.0585 |
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### Framework versions
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- Transformers 4.28.0.dev0
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- Pytorch 2.0.0+cu117
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- Datasets 2.11.1.dev0
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- Tokenizers 0.13.2
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