End of training
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README.md
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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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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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step
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| 0.
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| 0.1321 | 5.0 | 7750 | 0.3960 |
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| 0.0898 | 6.0 | 9300 | 0.4087 |
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| 0.0652 | 7.0 | 10850 | 0.3947 |
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| 0.0341 | 8.0 | 12400 | 0.3965 |
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### Framework versions
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- PEFT 0.10.
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- Transformers 4.
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- Pytorch 2.
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- Datasets 2.19.
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- Tokenizers 0.
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6546
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## Model description
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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: 0.1
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- num_epochs: 4
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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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| 0.9384 | 1.0 | 1550 | 0.9004 |
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| 0.7257 | 2.0 | 3100 | 0.7403 |
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| 0.4672 | 3.0 | 4650 | 0.6729 |
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| 0.3205 | 4.0 | 6200 | 0.6546 |
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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 2.2.2+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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