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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__car100-all-format-avg_copy2x_voiceless-241219-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__car100-all-format-avg_copy2x_voiceless-241219-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: 0.1126 |
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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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| 4.4773 | 1.0 | 65 | 2.3737 | |
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| 1.4068 | 2.0 | 130 | 0.3870 | |
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| 0.1629 | 3.0 | 195 | 0.1140 | |
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| 0.1225 | 4.0 | 260 | 0.1085 | |
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| 0.106 | 5.0 | 325 | 0.1079 | |
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| 0.0935 | 6.0 | 390 | 0.1087 | |
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| 0.0848 | 7.0 | 455 | 0.1098 | |
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| 0.0772 | 8.0 | 520 | 0.1113 | |
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| 0.0718 | 9.0 | 585 | 0.1123 | |
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| 0.069 | 10.0 | 650 | 0.1126 | |
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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 |
