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GPT2-System
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: 0.6397
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 |
|---|---|---|---|
| 0.446 | 1.0 | 4610 | 0.6397 |
| 0.3599 | 2.0 | 9220 | 0.6482 |
| 0.3379 | 3.0 | 13830 | 0.6637 |
| 0.3259 | 4.0 | 18440 | 0.6719 |
| 0.3193 | 5.0 | 23050 | 0.6798 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
