GPT2_bigram_function_within_boundary_53
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7494
- Accuracy: 0.3738
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: 53
- 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 |
|---|
| 4.9279 | 1.0 | 6420 | 4.7262 | 0.2660 |
| 4.3403 | 2.0 | 12840 | 4.2176 | 0.3125 |
| 4.0904 | 3.0 | 19260 | 4.0282 | 0.3363 |
| 3.9677 | 4.0 | 25680 | 3.9280 | 0.3478 |
| 3.8705 | 5.0 | 32100 | 3.8681 | 0.3563 |
| 3.8011 | 6.0 | 38520 | 3.8269 | 0.3618 |
| 3.7431 | 7.0 | 44940 | 3.7945 | 0.3668 |
| 3.6902 | 8.0 | 51360 | 3.7721 | 0.3707 |
| 3.644 | 9.0 | 57780 | 3.7568 | 0.3726 |
| 3.6026 | 10.0 | 64200 | 3.7494 | 0.3738 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.11.0+cu126
- Datasets 4.1.1
- Tokenizers 0.13.3
