GPT2_no_function_67
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.7260
- Accuracy: 0.3103
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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 67
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|
| 6.3673 | 1.0 | 4702 | 6.0093 | 0.2210 |
| 5.5122 | 2.0 | 9404 | 5.3627 | 0.2531 |
| 5.1637 | 3.0 | 14106 | 5.0803 | 0.2754 |
| 5.0001 | 4.0 | 18808 | 4.9437 | 0.2882 |
| 4.8699 | 5.0 | 23510 | 4.8652 | 0.2950 |
| 4.7738 | 6.0 | 28212 | 4.8127 | 0.3002 |
| 4.6966 | 7.0 | 32914 | 4.7762 | 0.3044 |
| 4.6296 | 8.0 | 37616 | 4.7499 | 0.3069 |
| 4.5712 | 9.0 | 42318 | 4.7333 | 0.3087 |
| 4.5227 | 10.0 | 47020 | 4.7260 | 0.3103 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.9.1+cu128
- Datasets 4.1.1
- Tokenizers 0.13.3
