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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: openai/whisper-small |
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datasets: |
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- mozilla-foundation/common_voice_6_1 |
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model-index: |
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- name: LoRA-Frisian-10m |
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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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# LoRA-Frisian-10m |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_6_1 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4653 |
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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: 0.001 |
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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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- 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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| No log | 1.0 | 15 | 3.9065 | |
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| 4.5818 | 2.0 | 30 | 2.4690 | |
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| 4.5818 | 3.0 | 45 | 2.1054 | |
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| 1.9044 | 4.0 | 60 | 1.5722 | |
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| 0.6082 | 5.0 | 75 | 1.4697 | |
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| 0.6082 | 6.0 | 90 | 1.4806 | |
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| 0.1604 | 7.0 | 105 | 1.4372 | |
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| 0.1604 | 8.0 | 120 | 1.5410 | |
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| 0.0994 | 9.0 | 135 | 1.4781 | |
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| 0.1083 | 10.0 | 150 | 1.4653 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
