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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_mix-241029-v2 |
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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_mix-241029-v2 |
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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: 0.2544 |
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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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| 2.0497 | 1.0 | 444 | 0.1964 | |
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| 0.19 | 2.0 | 888 | 0.1885 | |
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| 0.133 | 3.0 | 1332 | 0.1957 | |
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| 0.0925 | 4.0 | 1776 | 0.2096 | |
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| 0.0689 | 5.0 | 2220 | 0.2213 | |
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| 0.0533 | 6.0 | 2664 | 0.2282 | |
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| 0.0422 | 7.0 | 3108 | 0.2373 | |
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| 0.0347 | 8.0 | 3552 | 0.2432 | |
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| 0.0296 | 9.0 | 3996 | 0.2518 | |
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| 0.0263 | 10.0 | 4440 | 0.2544 | |
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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 |
