GPT2_bigram_function_42
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6962
- Accuracy: 0.3568
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: 42
- 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 |
|---|
| 4.8903 | 1.0 | 6420 | 4.6814 | 0.2576 |
| 4.2915 | 2.0 | 12840 | 4.1694 | 0.2983 |
| 4.0376 | 3.0 | 19260 | 3.9761 | 0.3206 |
| 3.9123 | 4.0 | 25680 | 3.8770 | 0.3328 |
| 3.8146 | 5.0 | 32100 | 3.8156 | 0.3397 |
| 3.7441 | 6.0 | 38520 | 3.7726 | 0.3458 |
| 3.6835 | 7.0 | 44940 | 3.7412 | 0.3497 |
| 3.6319 | 8.0 | 51360 | 3.7190 | 0.3525 |
| 3.5859 | 9.0 | 57780 | 3.7039 | 0.3555 |
| 3.5463 | 10.0 | 64200 | 3.6962 | 0.3568 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.9.1+cu128
- Datasets 4.1.1
- Tokenizers 0.13.3
