---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-model2-1510-e6
  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-e6

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: 0.4903
- Rouge1: 66.541
- Rouge2: 62.0799
- Rougel: 65.123
- Rougelsum: 66.0849
- 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: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 409  | 0.4982          | 64.0814 | 56.458  | 61.787  | 62.5761   | 20.0    |
| 0.5699        | 2.0   | 818  | 0.4216          | 65.1935 | 59.1949 | 63.3361 | 64.071    | 20.0    |
| 0.1953        | 3.0   | 1227 | 0.4284          | 66.1645 | 61.4297 | 64.8168 | 65.4799   | 20.0    |
| 0.1025        | 4.0   | 1636 | 0.4722          | 65.4591 | 60.807  | 64.1694 | 64.8935   | 20.0    |
| 0.0765        | 5.0   | 2045 | 0.5023          | 65.8001 | 61.49   | 64.7804 | 65.6771   | 20.0    |
| 0.0765        | 6.0   | 2454 | 0.4903          | 66.541  | 62.0799 | 65.123  | 66.0849   | 20.0    |


### Framework versions

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