---
license: mit
base_model: facebook/bart-large-xsum
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: LLM_Teach_Bart
  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. -->

# LLM_Teach_Bart

This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5031
- Rouge1: 0.4867
- Rouge2: 0.2549
- Rougel: 0.376
- Rougelsum: 0.3764
- Gen Len: 46.2273

## 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: 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.3272        | 1.0   | 625  | 1.3454          | 0.4905 | 0.2577 | 0.3725 | 0.3726    | 51.3691 |
| 0.9972        | 2.0   | 1250 | 1.3446          | 0.4861 | 0.26   | 0.3757 | 0.3761    | 46.5909 |
| 0.8102        | 3.0   | 1875 | 1.4353          | 0.4889 | 0.2564 | 0.3753 | 0.3755    | 47.3073 |
| 0.5636        | 4.0   | 2500 | 1.5031          | 0.4867 | 0.2549 | 0.376  | 0.3764    | 46.2273 |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.15.0