--- tags: - generated_from_trainer model-index: - name: GPT2-705M results: [] --- # GPT2-705M This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 3.6046 ## 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: 0.00025 - train_batch_size: 16 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 128 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 300 - num_epochs: 20 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 8.0336 | 1.0 | 3 | 7.3770 | | 6.2535 | 2.0 | 6 | 6.3128 | | 5.6213 | 3.0 | 9 | 5.6716 | | 4.8242 | 4.0 | 12 | 5.1521 | | 4.6266 | 5.0 | 15 | 4.9789 | | 4.4097 | 6.0 | 18 | 4.7306 | | 4.0358 | 7.0 | 21 | 4.5332 | | 4.0027 | 8.0 | 24 | 4.4014 | | 3.8638 | 9.0 | 27 | 4.1175 | | 3.5414 | 10.0 | 30 | 4.0355 | | 3.4701 | 11.0 | 33 | 3.8834 | | 3.4822 | 12.0 | 36 | 3.8336 | | 3.0602 | 13.0 | 39 | 3.7213 | | 3.1109 | 14.0 | 42 | 3.7379 | | 2.9087 | 15.0 | 45 | 3.7389 | | 2.7124 | 16.0 | 48 | 3.6220 | | 2.5867 | 17.0 | 51 | 3.7192 | | 2.4577 | 18.0 | 54 | 3.5953 | | 2.279 | 19.0 | 57 | 3.7648 | | 2.3218 | 20.0 | 60 | 3.6046 | ### Framework versions - Transformers 4.39.1 - Pytorch 2.1.2+cu121 - Datasets 2.16.1 - Tokenizers 0.15.0