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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-id
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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-id
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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: 0.4034
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- Wer: 13.6494
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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: 5000
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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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| 0.1014 | 4.95 | 500 | 0.2583 | 13.6355 |
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| 0.0058 | 9.9 | 1000 | 0.3169 | 13.2851 |
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| 0.0017 | 14.85 | 1500 | 0.3488 | 13.2251 |
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| 0.001 | 19.8 | 2000 | 0.3639 | 13.3542 |
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| 0.0007 | 24.75 | 2500 | 0.3756 | 13.5018 |
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| 0.0005 | 29.7 | 3000 | 0.3844 | 13.5617 |
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| 0.0005 | 34.65 | 3500 | 0.3922 | 13.6401 |
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| 0.0004 | 39.6 | 4000 | 0.3981 | 13.6032 |
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| 0.0003 | 44.55 | 4500 | 0.4019 | 13.6632 |
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| 0.0003 | 49.5 | 5000 | 0.4034 | 13.6494 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.13.0+cu117
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- Datasets 2.7.1.dev0
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- Tokenizers 0.13.2
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