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--- |
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base_model: openai/whisper-small |
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datasets: |
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- test16082024Diny |
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language: |
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- fr |
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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 Small Diny |
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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 Small Diny |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Diny dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6336 |
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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: 0.0001 |
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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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| 3.853 | 1.0 | 9 | 3.5040 | |
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| 3.2074 | 2.0 | 18 | 3.0067 | |
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| 2.6069 | 3.0 | 27 | 2.4636 | |
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| 1.955 | 4.0 | 36 | 1.8001 | |
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| 1.1568 | 5.0 | 45 | 0.9291 | |
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| 0.7625 | 6.0 | 54 | 0.8403 | |
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| 0.585 | 7.0 | 63 | 0.7019 | |
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| 0.5889 | 8.0 | 72 | 0.7064 | |
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| 0.5227 | 9.0 | 81 | 0.6428 | |
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| 0.5145 | 10.0 | 90 | 0.6336 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
