<!-- 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. -->
gpt2-gpt2-wikiemails
This model is a fine-tuned version of gpt2 on Wikitext2 dataset that also has randomly generated pseudo emails. It achieves the following results on the evaluation set:
- Loss: 3.0640
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: 2e-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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3336 | 1.0 | 2409 | 3.1003 |
| 3.1975 | 2.0 | 4818 | 3.0733 |
| 3.1096 | 3.0 | 7227 | 3.0661 |
| 3.0804 | 4.0 | 9636 | 3.0629 |
| 3.0483 | 5.0 | 12045 | 3.0640 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
