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ApacheGPT2
This model is a fine-tuned version of EgilKarlsen/gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3480
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4368 | 1.0 | 18303 | 0.4028 |
| 0.3919 | 2.0 | 36606 | 0.3600 |
| 0.3766 | 3.0 | 54909 | 0.3480 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
