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--- |
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base_model: openai/whisper-large-v2 |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: whisper-large-v2-ft-cv16-1__car50-car50-e3n4-n4r2-r2n2-format_copy2x_voiceless-241216-v1 |
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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-large-v2-ft-cv16-1__car50-car50-e3n4-n4r2-r2n2-format_copy2x_voiceless-241216-v1 |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1061 |
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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: 5e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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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_ratio: 0.2 |
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- num_epochs: 10 |
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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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| 4.5518 | 1.0 | 70 | 2.3768 | |
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| 1.3291 | 2.0 | 140 | 0.1430 | |
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| 0.1495 | 3.0 | 210 | 0.1063 | |
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| 0.1171 | 4.0 | 280 | 0.1024 | |
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| 0.1009 | 5.0 | 350 | 0.1017 | |
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| 0.0894 | 6.0 | 420 | 0.1024 | |
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| 0.0801 | 7.0 | 490 | 0.1031 | |
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| 0.0727 | 8.0 | 560 | 0.1044 | |
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| 0.0682 | 9.0 | 630 | 0.1053 | |
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| 0.0648 | 10.0 | 700 | 0.1061 | |
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### Framework versions |
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- PEFT 0.13.0 |
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- Transformers 4.45.1 |
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- Pytorch 2.5.0+cu124 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
