---
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
model-index:
- name: bart-cnn-dialogsum-finetuned
  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. -->

# bart-cnn-dialogsum-finetuned

This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5768

## 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: 1e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5847        | 1.0   | 78   | 0.6536          |
| 0.6067        | 2.0   | 156  | 0.6077          |
| 0.6014        | 3.0   | 234  | 0.5916          |
| 0.5525        | 4.0   | 312  | 0.5843          |
| 0.5465        | 5.0   | 390  | 0.5808          |
| 0.6124        | 6.0   | 468  | 0.5787          |
| 0.588         | 7.0   | 546  | 0.5774          |
| 0.5782        | 8.0   | 624  | 0.5776          |
| 0.5187        | 9.0   | 702  | 0.5771          |
| 0.4999        | 10.0  | 780  | 0.5768          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1