| language: | |
| - pt | |
| license: mit | |
| tags: | |
| - generated_from_trainer | |
| base_model: pierreguillou/gpt2-small-portuguese | |
| model-index: | |
| - name: gpt2-small-portuguese-finetuned-tcu-acordaos | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # gpt2-small-portuguese-finetuned-tcu-acordaos | |
| This model is a fine-tuned version of [pierreguillou/gpt2-small-portuguese](https://huggingface.co/pierreguillou/gpt2-small-portuguese) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.6841 | |
| ## 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: 2e-05 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - 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 | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 2.3435 | 1.0 | 658 | 1.8346 | | |
| | 1.8668 | 2.0 | 1316 | 1.7141 | | |
| | 1.7573 | 3.0 | 1974 | 1.6841 | | |
| ### Framework versions | |
| - Transformers 4.11.3 | |
| - Pytorch 1.9.0+cu111 | |
| - Datasets 1.13.3 | |
| - Tokenizers 0.10.3 | |