---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-model2-0810
  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-model2-0810

This model is a fine-tuned version of [theojolliffe/bart-model2-1409](https://huggingface.co/theojolliffe/bart-model2-1409) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2627
- Rouge1: 58.8322
- Rouge2: 56.2696
- Rougel: 58.8934
- Rougelsum: 58.3106
- Gen Len: 19.2222

## 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: 2
- eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 169  | 0.3839          | 53.2948 | 45.0992 | 52.1785 | 53.8143   | 18.0    |
| No log        | 2.0   | 338  | 0.3099          | 55.227  | 49.17   | 55.1602 | 55.6483   | 17.8889 |
| 0.3831        | 3.0   | 507  | 0.2566          | 56.6535 | 52.9359 | 56.1953 | 56.0607   | 18.8889 |
| 0.3831        | 4.0   | 676  | 0.2627          | 58.8322 | 56.2696 | 58.8934 | 58.3106   | 19.2222 |


### Framework versions

- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1