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--- |
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library_name: peft |
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license: mit |
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base_model: openai/whisper-large-v3-turbo |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: whisper-turbo-tr_All_datasets_finetune |
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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-turbo-tr_All_datasets_finetune |
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This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1497 |
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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: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 0.1 |
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- num_epochs: 3 |
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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 | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.1651 | 0.4869 | 1500 | 0.1745 | |
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| 0.158 | 0.9737 | 3000 | 0.1590 | |
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| 0.1391 | 1.4606 | 4500 | 0.1540 | |
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| 0.1509 | 1.9474 | 6000 | 0.1516 | |
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| 0.1387 | 2.4343 | 7500 | 0.1500 | |
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| 0.1428 | 2.9211 | 9000 | 0.1497 | |
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### Framework versions |
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- PEFT 0.15.1 |
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- Transformers 4.48.0 |
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- Pytorch 2.5.1 |
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- Datasets 3.0.0 |
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- Tokenizers 0.21.1 |
