--- license: mit base_model: gpt2 tags: - generated_from_trainer model-index: - name: gpt2-ds results: [] --- # gpt2-ds This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 6.5115 ## 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: 10 - num_epochs: 1 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 7.9456 | 0.08 | 10 | 7.6166 | | 7.4919 | 0.16 | 20 | 7.3649 | | 7.3086 | 0.24 | 30 | 7.1963 | | 7.1312 | 0.32 | 40 | 7.0145 | | 6.9745 | 0.4 | 50 | 6.8656 | | 6.8648 | 0.48 | 60 | 6.7427 | | 6.7591 | 0.56 | 70 | 6.6575 | | 6.6745 | 0.64 | 80 | 6.5982 | | 6.6597 | 0.72 | 90 | 6.5550 | | 6.6284 | 0.8 | 100 | 6.5302 | | 6.5895 | 0.88 | 110 | 6.5159 | | 6.5568 | 0.96 | 120 | 6.5115 | ### Framework versions - Transformers 4.37.2 - Pytorch 2.1.0+cu121 - Datasets 2.16.1 - Tokenizers 0.15.1