---
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