| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: GPT2_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_random_function_53 |
| |
| This model was trained from scratch on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 4.8501 |
| - Accuracy: 0.2494 |
| |
| ## 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 | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 5.9648 | 1.0 | 6426 | 5.7752 | 0.1790 | |
| | 5.4131 | 2.0 | 12852 | 5.2875 | 0.2089 | |
| | 5.1686 | 3.0 | 19278 | 5.1053 | 0.2241 | |
| | 5.0478 | 4.0 | 25704 | 5.0146 | 0.2328 | |
| | 4.9577 | 5.0 | 32130 | 4.9593 | 0.2377 | |
| | 4.8934 | 6.0 | 38556 | 4.9200 | 0.2411 | |
| | 4.8346 | 7.0 | 44982 | 4.8911 | 0.2447 | |
| | 4.7873 | 8.0 | 51408 | 4.8704 | 0.2465 | |
| | 4.7405 | 9.0 | 57834 | 4.8566 | 0.2485 | |
| | 4.7008 | 10.0 | 64260 | 4.8501 | 0.2494 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.30.2 |
| - Pytorch 2.9.1+cu128 |
| - Datasets 4.1.1 |
| - Tokenizers 0.13.3 |
|
|
