| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: GPT2_no_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_no_function_53 |
| |
| This model was trained from scratch on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 4.7232 |
| - Accuracy: 0.3103 |
| |
| ## 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 | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 6.3722 | 1.0 | 4702 | 6.0131 | 0.2200 | |
| | 5.5124 | 2.0 | 9404 | 5.3614 | 0.2521 | |
| | 5.1637 | 3.0 | 14106 | 5.0791 | 0.2753 | |
| | 4.9973 | 4.0 | 18808 | 4.9464 | 0.2873 | |
| | 4.8674 | 5.0 | 23510 | 4.8657 | 0.2944 | |
| | 4.7726 | 6.0 | 28212 | 4.8131 | 0.3001 | |
| | 4.6943 | 7.0 | 32914 | 4.7743 | 0.3027 | |
| | 4.6304 | 8.0 | 37616 | 4.7480 | 0.3064 | |
| | 4.5722 | 9.0 | 42318 | 4.7303 | 0.3089 | |
| | 4.5192 | 10.0 | 47020 | 4.7232 | 0.3103 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.30.2 |
| - Pytorch 2.9.1+cu128 |
| - Datasets 4.1.1 |
| - Tokenizers 0.13.3 |
|
|
