GPT2_natural_function_67
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.7168
- Accuracy: 0.3685
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 |
|---|---|---|---|---|
| 4.97 | 1.0 | 6422 | 4.7453 | 0.2805 |
| 4.3346 | 2.0 | 12844 | 4.1934 | 0.3193 |
| 4.0708 | 3.0 | 19266 | 3.9999 | 0.3376 |
| 3.9406 | 4.0 | 25688 | 3.9018 | 0.3471 |
| 3.8415 | 5.0 | 32110 | 3.8403 | 0.3540 |
| 3.7713 | 6.0 | 38532 | 3.7970 | 0.3587 |
| 3.7109 | 7.0 | 44954 | 3.7650 | 0.3626 |
| 3.6557 | 8.0 | 51376 | 3.7405 | 0.3651 |
| 3.6097 | 9.0 | 57798 | 3.7246 | 0.3677 |
| 3.5655 | 10.0 | 64220 | 3.7168 | 0.3685 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.9.1+cu128
- Datasets 4.1.1
- Tokenizers 0.13.3
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