End of training
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README.md
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# uaspeech-large-finetune-shorter-evals-29-11-8AM
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
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## Model description
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- lr_scheduler_warmup_steps: 100
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- training_steps: 1500
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### Framework versions
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- Transformers 4.45.2
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# uaspeech-large-finetune-shorter-evals-29-11-8AM
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2763
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## Model description
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- lr_scheduler_warmup_steps: 100
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- training_steps: 1500
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.3168 | 0.0828 | 200 | 0.3934 |
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| 0.2478 | 0.1242 | 300 | 0.3321 |
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| 0.2151 | 0.1656 | 400 | 0.3295 |
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| 0.1683 | 0.2070 | 500 | 0.3064 |
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| 0.1469 | 0.2483 | 600 | 0.3344 |
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| 0.1183 | 0.2897 | 700 | 0.2818 |
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| 0.0982 | 0.3311 | 800 | 0.2951 |
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| 0.1028 | 0.3725 | 900 | 0.2737 |
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| 0.0901 | 0.4139 | 1000 | 0.2723 |
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| 0.0724 | 0.4553 | 1100 | 0.2761 |
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| 0.0668 | 0.4967 | 1200 | 0.2807 |
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| 0.0641 | 0.5381 | 1300 | 0.2699 |
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| 0.041 | 0.5795 | 1400 | 0.2727 |
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| 0.0438 | 0.6209 | 1500 | 0.2763 |
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### Framework versions
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- Transformers 4.45.2
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