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--- |
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library_name: peft |
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language: |
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- it |
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license: apache-2.0 |
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base_model: openai/whisper-medium |
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tags: |
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- generated_from_trainer |
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datasets: |
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- b-brave-clean |
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metrics: |
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- wer |
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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: b-brave-clean |
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type: b-brave-clean |
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config: default |
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split: test |
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args: default |
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metrics: |
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- type: wer |
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value: 40.97421203438395 |
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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 b-brave-clean dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6343 |
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- Wer: 40.9742 |
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- Cer: 28.2112 |
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- Lr: 0.0000 |
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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: 0.0003 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.3 |
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- num_epochs: 8 |
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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 | Cer | Lr | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:------:| |
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| 1.3936 | 1.0 | 251 | 1.2047 | 77.7937 | 48.2532 | 0.0001 | |
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| 0.8092 | 2.0 | 502 | 0.8939 | 161.6046 | 108.6945 | 0.0002 | |
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| 0.5533 | 3.0 | 753 | 0.8686 | 145.1289 | 117.0475 | 0.0003 | |
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| 0.3427 | 4.0 | 1004 | 0.6722 | 50.7163 | 34.9094 | 0.0002 | |
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| 0.1878 | 5.0 | 1255 | 0.6712 | 74.9284 | 63.9611 | 0.0002 | |
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| 0.1152 | 6.0 | 1506 | 0.6282 | 43.6963 | 29.8923 | 0.0001 | |
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| 0.0547 | 7.0 | 1757 | 0.6345 | 60.3152 | 53.7956 | 0.0001 | |
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| 0.0263 | 8.0 | 2008 | 0.6343 | 40.9742 | 28.2112 | 0.0000 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.48.3 |
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- Pytorch 2.2.0 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
