--- license: mit base_model: DeepESP/gpt2-spanish tags: - generated_from_trainer model-index: - name: Martin-Fierro results: [] --- # Martin-Fierro This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 3.9312 ## 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: 1e-05 - train_batch_size: 64 - eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 15 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 5.7424 | 1.0 | 5 | 5.0220 | | 4.7253 | 2.0 | 10 | 4.5156 | | 4.4643 | 3.0 | 15 | 4.3808 | | 4.3235 | 4.0 | 20 | 4.2740 | | 4.2015 | 5.0 | 25 | 4.1731 | | 4.0779 | 6.0 | 30 | 4.0667 | | 3.9722 | 7.0 | 35 | 4.0160 | | 3.9136 | 8.0 | 40 | 3.9975 | | 3.878 | 9.0 | 45 | 3.9820 | | 3.8465 | 10.0 | 50 | 3.9675 | | 3.8029 | 11.0 | 55 | 3.9552 | | 3.7845 | 12.0 | 60 | 3.9454 | | 3.7639 | 13.0 | 65 | 3.9383 | | 3.7473 | 14.0 | 70 | 3.9337 | | 3.7358 | 15.0 | 75 | 3.9312 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.0+cu118 - Datasets 2.15.0 - Tokenizers 0.15.0