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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: model |
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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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# model |
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This model is a fine-tuned version of [hts98/whisper-medium-1113](https://huggingface.co/hts98/whisper-medium-1113) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3198 |
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- Wer: 100.0 |
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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: 12 |
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- eval_batch_size: 12 |
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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: 30 |
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- training_steps: 200 |
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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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| 0.1889 | 1.43 | 30 | 0.2595 | 100.0 | |
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| 0.067 | 2.86 | 60 | 0.2960 | 100.0 | |
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| 0.0319 | 4.29 | 90 | 0.3027 | 100.0 | |
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| 0.0171 | 5.71 | 120 | 0.3166 | 100.0 | |
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| 0.0067 | 7.14 | 150 | 0.3214 | 100.0 | |
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| 0.0028 | 8.57 | 180 | 0.3198 | 100.0 | |
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### Framework versions |
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- Transformers 4.29.0.dev0 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.7.0 |
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- Tokenizers 0.13.3 |
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