--- license: mit tags: - generated_from_trainer model-index: - name: gpt2chess_scratch results: [] --- # gpt2chess_scratch This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.6902 ## 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: 0.0005 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 256 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 1000 - num_epochs: 5 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 1.3139 | 0.7 | 5000 | 0.9635 | | 0.9239 | 1.4 | 10000 | 0.8407 | | 0.8367 | 2.1 | 15000 | 0.7807 | | 0.7813 | 2.8 | 20000 | 0.7415 | | 0.7373 | 3.5 | 25000 | 0.7127 | | 0.7073 | 4.2 | 30000 | 0.6955 | | 0.6853 | 4.9 | 35000 | 0.6902 | ### Framework versions - Transformers 4.28.1 - Pytorch 2.0.0+cu117 - Datasets 2.11.0 - Tokenizers 0.13.3