--- library_name: transformers license: cc-by-nc-4.0 base_model: facebook/nougat-base tags: - generated_from_trainer model-index: - name: _Nougat_Base_Edv_En_De_60-40_5Ktarget results: [] --- # _Nougat_Base_Edv_En_De_60-40_5Ktarget This model is a fine-tuned version of [facebook/nougat-base](https://huggingface.co/facebook/nougat-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 112.2584 ## 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: 0.0001 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 10 - total_train_batch_size: 80 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 23.5676 | 1.0 | 90 | 1.6737 | | 15.0965 | 2.0 | 180 | 1.7021 | | 281.9342 | 3.0 | 270 | 64.7592 | | 942.554 | 4.0 | 360 | 107.4380 | | 1077.1051 | 4.9540 | 445 | 112.2584 | ### Framework versions - Transformers 4.47.1 - Pytorch 2.5.1+cu121 - Tokenizers 0.21.0