---
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: dialogsum_gpt2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# dialogsum_gpt2

This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an [Dialogue_Bot](https://huggingface.co/datasets/mohammadhabp/Dialogue_Bot) dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3211
- Rouge1: 0.4866
- Rouge2: 0.1609
- Rougel: 0.3868


[[Repo code]](https://github.com/MohammadHAbbaspour/GPT2_Dialogue)

## 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: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| 2.3713        | 1.0   | 875  | 2.3516          | 0.4821 | 0.1533 | 0.3775 |
| 2.2024        | 2.0   | 1750 | 2.3249          | 0.4820 | 0.1560 | 0.3806 |
| 1.988         | 3.0   | 2625 | 2.3211          | 0.4866 | 0.1609 | 0.3868 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1