---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-model2-1510-e4
  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-model2-1510-e4

This model is a fine-tuned version of [theojolliffe/bart-paraphrase-v4-e1-feedback](https://huggingface.co/theojolliffe/bart-paraphrase-v4-e1-feedback) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4317
- Rouge1: 66.2469
- Rouge2: 61.9187
- Rougel: 64.975
- Rougelsum: 65.8105
- Gen Len: 20.0

## 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: 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   | 409  | 0.4893          | 63.6678 | 55.1935 | 61.0167 | 62.2738   | 20.0    |
| 0.5697        | 2.0   | 818  | 0.4261          | 65.5028 | 59.8267 | 63.9004 | 64.5644   | 20.0    |
| 0.1918        | 3.0   | 1227 | 0.4179          | 66.7784 | 61.5052 | 64.3163 | 65.6703   | 20.0    |
| 0.098         | 4.0   | 1636 | 0.4317          | 66.2469 | 61.9187 | 64.975  | 65.8105   | 20.0    |


### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1