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--- |
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base_model: openai/whisper-medium |
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datasets: |
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- miosipof/asr_en |
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language: |
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- en |
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library_name: peft |
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license: apache-2.0 |
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metrics: |
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- wer |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Whisper Medium |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: miosipof/asr_en |
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type: miosipof/asr_en |
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config: default |
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split: train |
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args: default |
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metrics: |
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- type: wer |
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value: 20.578778135048232 |
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name: Wer |
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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 Medium |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the miosipof/asr_en dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3170 |
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- Wer: 20.5788 |
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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: 0.001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: 32 |
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- training_steps: 128 |
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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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| 3.8843 | 1.0847 | 32 | 0.8819 | 135.0482 | |
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| 0.3624 | 2.1695 | 64 | 0.3312 | 47.1061 | |
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| 0.1637 | 3.2542 | 96 | 0.3231 | 22.1865 | |
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| 0.0903 | 4.3390 | 128 | 0.3170 | 20.5788 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.0 |
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- Tokenizers 0.19.1 |
