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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: amk-whisper-v5.5
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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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# amk-whisper-v5.5
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8049
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- Wer: 28.0612
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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-06
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- train_batch_size: 16
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- eval_batch_size: 8
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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: 2
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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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| 1.2935 | 1.0 | 1 | 1.0842 | 38.2653 |
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| 1.2935 | 2.0 | 2 | 1.0339 | 35.7143 |
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| 1.1811 | 3.0 | 3 | 0.9826 | 33.1633 |
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| 0.9953 | 4.0 | 4 | 0.9103 | 28.5714 |
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| 0.7994 | 5.0 | 5 | 0.8852 | 28.0612 |
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| 0.7257 | 6.0 | 6 | 0.8624 | 28.5714 |
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| 0.656 | 7.0 | 7 | 0.8423 | 28.8265 |
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| 0.5976 | 8.0 | 8 | 0.8274 | 28.5714 |
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| 0.5572 | 9.0 | 9 | 0.8110 | 27.8061 |
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| 0.5096 | 10.0 | 10 | 0.8049 | 28.0612 |
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### Framework versions
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- Transformers 4.29.0.dev0
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- Pytorch 1.13.1+cu117
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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