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gpt2-finetuned-mbti-0901
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9470
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 |
|---|---|---|---|
| 4.1073 | 1.0 | 9906 | 4.0111 |
| 4.0302 | 2.0 | 19812 | 3.9761 |
| 3.9757 | 3.0 | 29718 | 3.9578 |
| 3.9471 | 4.0 | 39624 | 3.9495 |
| 3.9187 | 5.0 | 49530 | 3.9470 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1
