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--- |
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base_model: openai/whisper-large-v3 |
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datasets: |
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- audiofolder |
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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-v3-LoRA-en_students_test_2 |
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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-v3-LoRA-en_students_test_2 |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the audiofolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3590 |
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- Wer: 12.3268 |
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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: 50 |
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- training_steps: 100000 |
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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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| 0.9094 | 0.1270 | 500 | 0.6347 | 24.3686 | |
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| 0.5517 | 0.2541 | 1000 | 0.4835 | 18.0769 | |
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| 0.5364 | 0.3811 | 1500 | 0.4330 | 15.1149 | |
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| 0.5503 | 0.5081 | 2000 | 0.4113 | 13.6524 | |
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| 0.6521 | 0.6352 | 2500 | 0.3987 | 13.5897 | |
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| 0.6044 | 0.7622 | 3000 | 0.3912 | 13.0538 | |
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| 0.5487 | 0.8892 | 3500 | 0.3835 | 12.6119 | |
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| 0.5297 | 1.0163 | 4000 | 0.3791 | 12.4408 | |
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| 0.46 | 1.1433 | 4500 | 0.3751 | 12.3525 | |
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| 0.4947 | 1.2703 | 5000 | 0.3721 | 12.1415 | |
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| 0.524 | 1.3974 | 5500 | 0.3682 | 13.0139 | |
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| 0.4743 | 1.5244 | 6000 | 0.3649 | 13.3388 | |
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| 0.5338 | 1.6514 | 6500 | 0.3621 | 12.9397 | |
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| 0.5162 | 1.7785 | 7000 | 0.3597 | 13.3246 | |
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| 0.5004 | 1.9055 | 7500 | 0.3590 | 12.3268 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.42.4 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
