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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: temp1 |
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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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# temp1 |
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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: 0.3216 |
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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: 10 |
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- eval_batch_size: 10 |
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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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| 0.2082 | 1.2 | 30 | 0.2595 | 100.0 | |
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| 0.0803 | 2.4 | 60 | 0.2885 | 100.0 | |
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| 0.042 | 3.6 | 90 | 0.3030 | 100.0 | |
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| 0.0202 | 4.8 | 120 | 0.3190 | 100.0 | |
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| 0.0069 | 6.0 | 150 | 0.3151 | 100.0 | |
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| 0.0039 | 7.2 | 180 | 0.3216 | 100.0 | |
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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 2.7.0 |
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- Tokenizers 0.13.3 |
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