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--- |
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language: |
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- en |
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license: apache-2.0 |
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base_model: openai/whisper-medium.en |
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tags: |
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- hf-asr-leaderboard |
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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 Base EN |
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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 Base EN |
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This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on the ADLINK dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0003 |
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- Wer: 448.7879 |
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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: 8 |
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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: 500 |
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- training_steps: 1000 |
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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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| 1.1004 | 25.0 | 100 | 1.0484 | 2.1212 | |
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| 0.3934 | 50.0 | 200 | 0.4056 | 45.7576 | |
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| 0.0206 | 75.0 | 300 | 0.0131 | 63.3333 | |
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| 0.0012 | 100.0 | 400 | 0.0012 | 280.0 | |
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| 0.0006 | 125.0 | 500 | 0.0006 | 319.6970 | |
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| 0.0004 | 150.0 | 600 | 0.0004 | 381.5152 | |
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| 0.0003 | 175.0 | 700 | 0.0003 | 380.0 | |
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| 0.0003 | 200.0 | 800 | 0.0003 | 497.8788 | |
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| 0.0003 | 225.0 | 900 | 0.0003 | 462.7273 | |
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| 0.0003 | 250.0 | 1000 | 0.0003 | 448.7879 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0a0+ebedce2 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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