metadata
license: mit
tags:
- summarization
- generated_from_trainer
datasets:
- multi_news
model-index:
- name: gpt2-multi-news
results: []
gpt2-multi-news
This model is a fine-tuned version of gpt2 on the multi_news dataset. It achieves the following results on the evaluation set:
- Loss: 2.6300
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: 5.6e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7978 | 1.0 | 1250 | 2.6300 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3