---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bartL_3
  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. -->

# bartL_3

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8209
- Rouge1: 0.1782
- Rouge2: 0.0368
- Rougel: 0.1349
- Rougelsum: 0.1349
- Gen Len: 20.0

## 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: 1
- eval_batch_size: 1
- seed: 1515
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.283         | 1.0   | 317  | 2.7342          | 0.1742 | 0.0364 | 0.128  | 0.1283    | 20.0    |
| 2.6366        | 2.0   | 634  | 2.7466          | 0.1838 | 0.0448 | 0.139  | 0.1394    | 20.0    |
| 2.2437        | 3.0   | 951  | 2.7819          | 0.1691 | 0.0374 | 0.1277 | 0.1278    | 20.0    |
| 1.9957        | 4.0   | 1268 | 2.8209          | 0.1782 | 0.0368 | 0.1349 | 0.1349    | 20.0    |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.1