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

# my_bart_model

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3832
- Rouge1: 0.7947
- Rouge2: 0.6832
- Rougel: 0.7731
- Rougelsum: 0.7732
- Gen Len: 15.8956

## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.4469        | 1.0   | 2185 | 0.4639          | 0.7605 | 0.6319 | 0.7345 | 0.7346    | 15.8928 |
| 0.3132        | 2.0   | 4370 | 0.4013          | 0.7766 | 0.6564 | 0.7516 | 0.7516    | 15.9322 |
| 0.2214        | 3.0   | 6555 | 0.3802          | 0.7878 | 0.6734 | 0.7656 | 0.7657    | 15.986  |
| 0.1673        | 4.0   | 8740 | 0.3832          | 0.7947 | 0.6832 | 0.7731 | 0.7732    | 15.8956 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1