metadata
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: dialogsum_gpt2
results: []
dialogsum_gpt2
This model is a fine-tuned version of openai-community/gpt2 on an Dialogue_Bot dataset. It achieves the following results on the evaluation set:
- Loss: 2.3211
- Rouge1: 0.4866
- Rouge2: 0.1609
- Rougel: 0.3868
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