--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: GPT2_no_function_53 results: [] --- # 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