---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bart-paraphrasing-mlm
  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. -->

# bart-paraphrasing-mlm

This model is a fine-tuned version of [gayanin/bart-paraphrase-pubmed-1.1](https://huggingface.co/gayanin/bart-paraphrase-pubmed-1.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5510
- Rouge2 Precision: 0.7148
- Rouge2 Recall: 0.5223
- Rouge2 Fmeasure: 0.5866

## 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: 2e-05
- 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.6799        | 1.0   | 13833 | 0.5982          | 0.7016           | 0.5122        | 0.5756          |
| 0.5894        | 2.0   | 27666 | 0.5663          | 0.7093           | 0.5193        | 0.583           |
| 0.5329        | 3.0   | 41499 | 0.5540          | 0.7129           | 0.5212        | 0.5853          |
| 0.4953        | 4.0   | 55332 | 0.5510          | 0.7148           | 0.5223        | 0.5866          |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6