<!-- 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-PKDD
This model is a fine-tuned version of EgilKarlsen/GPT2-Sentence on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.6242
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 |
|---|---|---|---|
| 3.859 | 1.0 | 19386 | 3.7346 |
| 3.73 | 2.0 | 38772 | 3.6890 |
| 3.6904 | 3.0 | 58158 | 3.6588 |
| 3.6641 | 4.0 | 77544 | 3.6386 |
| 3.6484 | 5.0 | 96930 | 3.6305 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
