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---
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tags:
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- generated_from_trainer
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model-index:
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- name: plbart-base-finetuned-ut-generator
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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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# plbart-base-finetuned-ut-generator
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This model is a fine-tuned version of [uclanlp/plbart-base](https://huggingface.co/uclanlp/plbart-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3141
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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: 5e-06
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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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- num_epochs: 2
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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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| 1.3625 | 0.09 | 100 | 0.4305 |
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| 0.4651 | 0.18 | 200 | 0.3991 |
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| 0.4273 | 0.27 | 300 | 0.3831 |
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| 0.4021 | 0.36 | 400 | 0.3722 |
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| 0.4101 | 0.44 | 500 | 0.3628 |
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| 0.4004 | 0.53 | 600 | 0.3550 |
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| 0.3877 | 0.62 | 700 | 0.3483 |
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| 0.3835 | 0.71 | 800 | 0.3431 |
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| 0.4012 | 0.8 | 900 | 0.3379 |
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| 0.3537 | 0.89 | 1000 | 0.3343 |
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| 0.3696 | 0.98 | 1100 | 0.3308 |
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| 0.3574 | 1.07 | 1200 | 0.3278 |
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| 0.3474 | 1.16 | 1300 | 0.3255 |
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| 0.3564 | 1.24 | 1400 | 0.3228 |
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| 0.3353 | 1.33 | 1500 | 0.3210 |
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| 0.3233 | 1.42 | 1600 | 0.3191 |
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| 0.3799 | 1.51 | 1700 | 0.3174 |
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| 0.3565 | 1.6 | 1800 | 0.3164 |
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| 0.3281 | 1.69 | 1900 | 0.3156 |
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| 0.3272 | 1.78 | 2000 | 0.3150 |
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| 0.3559 | 1.87 | 2100 | 0.3143 |
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| 0.3486 | 1.96 | 2200 | 0.3141 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.0
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- Tokenizers 0.13.2
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