transformers safetensors bart text2text-generation generated_from_trainer base_model:facebook/bart-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-mawpnli-calcx
  results: []
---

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# bart-mawpnli-calcx

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1721
- Rouge1: 95.182
- Rouge2: 88.0785
- Rougel: 95.0205
- Rougelsum: 95.0114
- Gen Len: 14.5892

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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   | 426  | 0.1673          | 94.5945 | 86.1233 | 94.3034 | 94.3197   | 14.4437 |
| 0.2429        | 2.0   | 852  | 0.1457          | 94.7631 | 86.9333 | 94.5539 | 94.5633   | 14.4366 |
| 0.073         | 3.0   | 1278 | 0.1489          | 94.7349 | 87.5738 | 94.5739 | 94.5773   | 14.5833 |
| 0.0462        | 4.0   | 1704 | 0.1710          | 95.2312 | 88.2565 | 95.0116 | 94.9837   | 14.5646 |
| 0.0214        | 5.0   | 2130 | 0.1721          | 95.182  | 88.0785 | 95.0205 | 95.0114   | 14.5892 |


### Framework versions

- Transformers 4.35.2
- Pytorch 1.12.1+cu113
- Datasets 2.15.0
- Tokenizers 0.15.0
