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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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metrics:
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- wer
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model-index:
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- name: whisper-small-et
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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-et
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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: 0.7261
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- Wer: 34.5973
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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: 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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- lr_scheduler_warmup_steps: 500
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- training_steps: 2000
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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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| 1.1285 | 1.03 | 200 | 1.0640 | 53.4934 |
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| 0.5163 | 2.05 | 400 | 0.6450 | 41.2428 |
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| 0.2005 | 4.01 | 600 | 0.5600 | 36.6797 |
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| 0.1188 | 5.03 | 800 | 0.5718 | 35.2847 |
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| 0.0487 | 6.06 | 1000 | 0.5999 | 34.7500 |
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| 0.0216 | 8.01 | 1200 | 0.6479 | 38.1906 |
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| 0.016 | 9.04 | 1400 | 0.6655 | 39.5034 |
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| 0.0085 | 10.06 | 1600 | 0.7027 | 33.9038 |
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| 0.0079 | 12.02 | 1800 | 0.7207 | 39.5723 |
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| 0.009 | 13.04 | 2000 | 0.7261 | 34.5973 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.12.1+rocm5.1.1
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- Datasets 2.7.1.dev0
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- Tokenizers 0.13.2
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