---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: gpt2-finetuned-justification-v3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gpt2-finetuned-justification-v3

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2415
- Rouge1: 30.8957
- Rouge2: 13.5597
- Rougel: 22.4384
- Rougelsum: 28.2668

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| No log        | 1.0   | 338  | 0.1980          | 30.0775 | 13.8145 | 22.3863 | 28.0341   |
| 0.226         | 2.0   | 676  | 0.1972          | 28.9676 | 13.7684 | 21.8084 | 26.6768   |
| 0.1594        | 3.0   | 1014 | 0.2007          | 29.8576 | 13.3727 | 22.1581 | 27.5726   |
| 0.1594        | 4.0   | 1352 | 0.2071          | 32.2090 | 13.7848 | 22.8787 | 29.0171   |
| 0.1259        | 5.0   | 1690 | 0.2146          | 28.5240 | 13.5821 | 21.4908 | 26.2550   |
| 0.1046        | 6.0   | 2028 | 0.2211          | 26.1623 | 13.1641 | 21.5936 | 25.0346   |
| 0.1046        | 7.0   | 2366 | 0.2294          | 28.7169 | 13.4858 | 21.1068 | 26.1213   |
| 0.0894        | 8.0   | 2704 | 0.2355          | 30.8957 | 13.5597 | 22.4384 | 28.2668   |
| 0.0785        | 9.0   | 3042 | 0.2398          | 30.8957 | 13.5597 | 22.4384 | 28.2668   |
| 0.0785        | 10.0  | 3380 | 0.2415          | 30.8957 | 13.5597 | 22.4384 | 28.2668   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.2.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.2