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---
tags:
- generated_from_trainer
model-index:
- name: plbart-base-finetuned-ut-generator
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# plbart-base-finetuned-ut-generator
This model is a fine-tuned version of [uclanlp/plbart-base](https://huggingface.co/uclanlp/plbart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2744
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6096 | 0.44 | 500 | 0.3797 |
| 0.3706 | 0.89 | 1000 | 0.3465 |
| 0.3534 | 1.33 | 1500 | 0.3283 |
| 0.3132 | 1.78 | 2000 | 0.3142 |
| 0.305 | 2.22 | 2500 | 0.3044 |
| 0.2923 | 2.67 | 3000 | 0.2972 |
| 0.2908 | 3.11 | 3500 | 0.2911 |
| 0.2796 | 3.56 | 4000 | 0.2856 |
| 0.2731 | 4.0 | 4500 | 0.2814 |
| 0.2663 | 4.44 | 5000 | 0.2785 |
| 0.2638 | 4.89 | 5500 | 0.2764 |
| 0.2597 | 5.33 | 6000 | 0.2750 |
| 0.2522 | 5.78 | 6500 | 0.2744 |
### Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
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