| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: GPT2_natural_function_53 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # GPT2_natural_function_53 |
| |
| This model was trained from scratch on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.7165 |
| - 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: 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 | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 4.9681 | 1.0 | 6422 | 4.7441 | 0.2809 | |
| | 4.3361 | 2.0 | 12844 | 4.1924 | 0.3208 | |
| | 4.0681 | 3.0 | 19266 | 4.0019 | 0.3379 | |
| | 3.9431 | 4.0 | 25688 | 3.9031 | 0.3468 | |
| | 3.8435 | 5.0 | 32110 | 3.8400 | 0.3539 | |
| | 3.7716 | 6.0 | 38532 | 3.7953 | 0.3586 | |
| | 3.7115 | 7.0 | 44954 | 3.7655 | 0.3618 | |
| | 3.6569 | 8.0 | 51376 | 3.7415 | 0.3647 | |
| | 3.6087 | 9.0 | 57798 | 3.7231 | 0.3674 | |
| | 3.5685 | 10.0 | 64220 | 3.7165 | 0.3685 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.30.2 |
| - Pytorch 2.9.1+cu128 |
| - Datasets 4.1.1 |
| - Tokenizers 0.13.3 |
|
|
