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

# classification_bart

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6395
- Rouge1: 61.878
- Rouge2: 49.9283
- Rougel: 59.6423
- Rougelsum: 59.7142
- Gen Len: 21.0

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 341  | 0.7811          | 60.1042 | 48.0406 | 58.0511 | 58.1495   | 21.0    |
| 0.834         | 2.0   | 682  | 0.7603          | 61.3673 | 48.0906 | 58.5343 | 58.6285   | 21.0    |
| 0.549         | 3.0   | 1023 | 0.6395          | 61.878  | 49.9283 | 59.6423 | 59.7142   | 21.0    |
| 0.549         | 4.0   | 1364 | 0.6827          | 62.0219 | 50.1238 | 59.7593 | 59.8346   | 21.0    |
| 0.4279        | 5.0   | 1705 | 0.6626          | 62.2247 | 50.4714 | 59.962  | 60.0911   | 21.0    |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 2.20.0
- Tokenizers 0.21.0