--- license: mit tags: - generated_from_trainer model-index: - name: ms-16maps_nonalpha-ds results: [] --- # ms-16maps_nonalpha-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: 6.3569 ## 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 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 10 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 6.6897 | 0.06 | 100 | 6.5741 | | 6.5747 | 0.11 | 200 | 6.5529 | | 6.5287 | 0.17 | 300 | 6.5047 | | 6.4802 | 0.22 | 400 | 6.4695 | | 6.4668 | 0.28 | 500 | 6.4435 | | 6.4468 | 0.33 | 600 | 6.4283 | | 6.4378 | 0.39 | 700 | 6.4119 | | 6.4183 | 0.44 | 800 | 6.4043 | | 6.4172 | 0.5 | 900 | 6.3952 | | 6.3946 | 0.55 | 1000 | 6.3870 | | 6.3888 | 0.61 | 1100 | 6.3795 | | 6.3756 | 0.66 | 1200 | 6.3749 | | 6.3738 | 0.72 | 1300 | 6.3690 | | 6.3771 | 0.77 | 1400 | 6.3644 | | 6.3709 | 0.83 | 1500 | 6.3600 | | 6.3706 | 0.88 | 1600 | 6.3578 | | 6.3652 | 0.94 | 1700 | 6.3571 | | 6.3767 | 1.0 | 1800 | 6.3569 | ### Framework versions - Transformers 4.30.2 - Pytorch 2.0.1+cu117 - Datasets 2.13.1 - Tokenizers 0.13.3