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

# dialogsum_bart_large

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: 1.3282
- Rouge1: 0.4162
- Rouge2: 0.1783
- Rougel: 0.3551
- Rougelsum: 0.3553
- Gen Len: 19.838

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.1326        | 1.0   | 3115  | 1.3148          | 0.3975 | 0.1596 | 0.335  | 0.3352    | 19.942  |
| 0.937         | 2.0   | 6230  | 1.2903          | 0.3994 | 0.1613 | 0.3394 | 0.3393    | 19.858  |
| 0.7955        | 3.0   | 9345  | 1.3001          | 0.4171 | 0.1794 | 0.357  | 0.3569    | 19.784  |
| 0.6845        | 4.0   | 12460 | 1.3282          | 0.4162 | 0.1783 | 0.3551 | 0.3553    | 19.838  |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.3
- Tokenizers 0.13.3