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

# attainment_bart_summarization

This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co./facebook/bart-large-cnn) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3648
- Rouge1: 0.593
- Rouge2: 0.5676
- Rougel: 0.5797
- Rougelsum: 0.5816
- Gen Len: 66.7368

## 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: 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 38   | 0.3416          | 0.5952 | 0.5638 | 0.5657 | 0.5659    | 66.4737 |
| No log        | 2.0   | 76   | 0.2780          | 0.5992 | 0.5733 | 0.5777 | 0.5776    | 66.7237 |
| No log        | 3.0   | 114  | 0.3348          | 0.593  | 0.5632 | 0.5719 | 0.5734    | 66.5921 |
| No log        | 4.0   | 152  | 0.3648          | 0.593  | 0.5676 | 0.5797 | 0.5816    | 66.7368 |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3