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README.md
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# plbart-base_finetuned_ut_generator_70000_method2test
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This model
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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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### Framework versions
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# plbart-base_finetuned_ut_generator_70000_method2test
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This model is a fine-tuned version of [Minata/plbart-base_finetuned_ut_generator_70000_method2test](https://huggingface.co/Minata/plbart-base_finetuned_ut_generator_70000_method2test) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1594
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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: 6
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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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| 0.1996 | 1.0 | 7875 | 0.1690 |
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| 0.1895 | 2.0 | 15750 | 0.1655 |
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| 0.1816 | 3.0 | 23625 | 0.1628 |
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| 0.1757 | 4.0 | 31500 | 0.1612 |
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| 0.1714 | 5.0 | 39375 | 0.1599 |
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| 0.1686 | 6.0 | 47250 | 0.1594 |
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### Framework versions
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