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--- |
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language: |
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- arp |
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license: apache-2.0 |
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base_model: openai/whisper-small.en |
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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-arpa |
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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-arpa |
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This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0186 |
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- Wer: 2.9762 |
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- Cer: 1.0999 |
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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-05 |
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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: cosine |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 1 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Cer | Validation Loss | Wer | |
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|:-------------:|:------:|:-----:|:------:|:---------------:|:------:| |
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| 0.0529 | 0.5716 | 5000 | 3.5532 | 0.0494 | 7.8609 | |
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| 0.028 | 1.1432 | 10000 | 5.5656 | 0.0413 | 9.7632 | |
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| 0.0298 | 1.7149 | 15000 | 2.9926 | 0.0350 | 6.4210 | |
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| 0.0133 | 2.2865 | 20000 | 2.1896 | 0.0322 | 5.0360 | |
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| 0.0105 | 2.8581 | 25000 | 2.0795 | 0.0307 | 4.7797 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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