--- license: mit base_model: gpt2-medium tags: - generated_from_trainer metrics: - accuracy model-index: - name: zinc10M_gpt2-medium_SMILES_step1 results: [] --- # zinc10M_gpt2-medium_SMILES_step1 This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.5598 - Accuracy: 0.8151 ## 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: 5e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 8 - total_train_batch_size: 64 - total_eval_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:------:|:---------------:|:--------:| | 0.635 | 1.0 | 10635 | 0.6169 | 0.8007 | | 0.6073 | 2.0 | 21270 | 0.5937 | 0.8066 | | 0.5932 | 3.0 | 31905 | 0.5828 | 0.8093 | | 0.5843 | 4.0 | 42540 | 0.5754 | 0.8112 | | 0.5782 | 5.0 | 53175 | 0.5704 | 0.8124 | | 0.5729 | 6.0 | 63810 | 0.5666 | 0.8134 | | 0.5691 | 7.0 | 74445 | 0.5638 | 0.8141 | | 0.5666 | 8.0 | 85080 | 0.5620 | 0.8145 | | 0.5644 | 9.0 | 95715 | 0.5606 | 0.8149 | | 0.5629 | 10.0 | 106350 | 0.5598 | 0.8151 | ### Framework versions - Transformers 4.36.0.dev0 - Pytorch 2.1.1+cu121 - Datasets 2.15.0 - Tokenizers 0.15.0