pytorch tensorboard bart text2text-generation transformers generated_from_trainer license:mit model-index autotrain_compatible
---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-cnn-pubmed-arxiv-v3-e4
  results: []
---

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# bart-cnn-pubmed-arxiv-v3-e4

This model is a fine-tuned version of [theojolliffe/bart-cnn-pubmed-arxiv](https://huggingface.co/theojolliffe/bart-cnn-pubmed-arxiv) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7934
- Rouge1: 54.2624
- Rouge2: 35.6024
- Rougel: 37.1697
- Rougelsum: 51.5144
- Gen Len: 141.9815

## 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: 2
- eval_batch_size: 2
- 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 | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
| No log        | 1.0   | 398  | 0.9533          | 52.3191 | 32.4576 | 33.2016 | 49.6502   | 142.0    |
| 1.1154        | 2.0   | 796  | 0.8407          | 53.6639 | 34.3433 | 36.1893 | 50.9077   | 142.0    |
| 0.6856        | 3.0   | 1194 | 0.7978          | 54.4723 | 36.1315 | 37.7891 | 51.902    | 142.0    |
| 0.4943        | 4.0   | 1592 | 0.7934          | 54.2624 | 35.6024 | 37.1697 | 51.5144   | 141.9815 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
