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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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