| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: GPT2_five_function_random_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_five_function_random_function_53 |
| |
| This model was trained from scratch on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 4.0209 |
| - Accuracy: 0.2681 |
| |
| ## 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 | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 5.114 | 1.0 | 6407 | 4.9375 | 0.1981 | |
| | 4.569 | 2.0 | 12814 | 4.4524 | 0.2293 | |
| | 4.3333 | 3.0 | 19221 | 4.2776 | 0.2426 | |
| | 4.2155 | 4.0 | 25628 | 4.1866 | 0.2511 | |
| | 4.1267 | 5.0 | 32035 | 4.1294 | 0.2558 | |
| | 4.0604 | 6.0 | 38442 | 4.0915 | 0.2598 | |
| | 4.0046 | 7.0 | 44849 | 4.0633 | 0.2623 | |
| | 3.9522 | 8.0 | 51256 | 4.0421 | 0.2650 | |
| | 3.9091 | 9.0 | 57663 | 4.0274 | 0.2675 | |
| | 3.8682 | 10.0 | 64070 | 4.0209 | 0.2681 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.30.2 |
| - Pytorch 2.11.0+cu126 |
| - Datasets 4.1.1 |
| - Tokenizers 0.13.3 |
|
|
