--- base_model: tiagoblima/t2t-gun-nlth-from-base tags: - generated_from_trainer model-index: - name: t2t-gun-nlth-from-base-warmup results: [] --- # t2t-gun-nlth-from-base-warmup This model is a fine-tuned version of [tiagoblima/t2t-gun-nlth-from-base](https://huggingface.co/tiagoblima/t2t-gun-nlth-from-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 4.2714 ## 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: 2 - eval_batch_size: 1 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 5.5983 | 0.55 | 4000 | 5.4980 | | 4.9836 | 1.1 | 8000 | 4.9345 | | 4.6311 | 1.65 | 12000 | 4.5711 | | 4.2902 | 2.2 | 16000 | 4.3787 | | 4.1916 | 2.74 | 20000 | 4.2714 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.2+cu121 - Datasets 2.15.0 - Tokenizers 0.15.1