| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: GPT2_more_function_67 |
| 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_more_function_67 |
| |
| This model was trained from scratch on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 4.3501 |
| - Accuracy: 0.2680 |
| |
| ## 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 | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 5.634 | 1.0 | 6417 | 5.4033 | 0.1902 | |
| | 4.9862 | 2.0 | 12834 | 4.8415 | 0.2243 | |
| | 4.7151 | 3.0 | 19251 | 4.6391 | 0.2410 | |
| | 4.5832 | 4.0 | 25668 | 4.5397 | 0.2486 | |
| | 4.4844 | 5.0 | 32085 | 4.4759 | 0.2552 | |
| | 4.4117 | 6.0 | 38502 | 4.4317 | 0.2589 | |
| | 4.3505 | 7.0 | 44919 | 4.4006 | 0.2628 | |
| | 4.2941 | 8.0 | 51336 | 4.3753 | 0.2652 | |
| | 4.2479 | 9.0 | 57753 | 4.3582 | 0.2669 | |
| | 4.2036 | 10.0 | 64170 | 4.3501 | 0.2680 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.30.2 |
| - Pytorch 2.9.1+cu128 |
| - Datasets 4.1.1 |
| - Tokenizers 0.13.3 |
|
|
