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GPT2-AA
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: 0.3495
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 |
|---|---|---|---|
| 0.6243 | 1.0 | 2502 | 0.4427 |
| 0.4355 | 2.0 | 5004 | 0.3899 |
| 0.3966 | 3.0 | 7506 | 0.3691 |
| 0.3776 | 4.0 | 10008 | 0.3574 |
| 0.3679 | 5.0 | 12510 | 0.3531 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
