| license: apache-2.0 | |
| language: "es" | |
| tags: | |
| - generated_from_trainer | |
| - es | |
| - text-classification | |
| - acoso | |
| - cyberbullying | |
| datasets: | |
| - hackathon-pln-es/Dataset-Acoso-Twitter-Es | |
| widget: | |
| - text: "Que horrible como la farándula chilena siempre se encargaba de dejar mal a las mujeres. Un asco" | |
| - text: "Hay que ser bien menestra para amenazar a una mujer con una llave de ruedas. Viendo como se viste no me queda ninguna duda" | |
| - text: "más centrados en tener una sociedad reprimida y sumisa que en estudiar y elaborar políticas de protección hacia las personas de mayor riesgo ante el virus." | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: Detección de acoso en Twitter | |
| results: [] | |
| # Detección de acoso en Twitter Español | |
| This model is a fine-tuned version of [mrm8488/distilroberta-finetuned-tweets-hate-speech](https://huggingface.co/mrm8488/distilroberta-finetuned-tweets-hate-speech) on [hackathon-pln-es/Dataset-Acoso-Twitter-Es](https://huggingface.co/datasets/hackathon-pln-es/Dataset-Acoso-Twitter-Es). | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.1628 | |
| - Accuracy: 0.9167 | |
| # UNL: Universidad Nacional de Loja | |
| ## Miembros del equipo: | |
| - Anderson Quizhpe <br> | |
| - Luis Negrón <br> | |
| - David Pacheco <br> | |
| - Bryan Requenes <br> | |
| - Paul Pasaca | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 2e-05 | |
| - train_batch_size: 16 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 500 | |
| - num_epochs: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | 0.6732 | 1.0 | 27 | 0.3797 | 0.875 | | |
| | 0.5537 | 2.0 | 54 | 0.3242 | 0.9167 | | |
| | 0.5218 | 3.0 | 81 | 0.2879 | 0.9167 | | |
| | 0.509 | 4.0 | 108 | 0.2606 | 0.9167 | | |
| | 0.4196 | 5.0 | 135 | 0.1628 | 0.9167 | | |
| ### Framework versions | |
| - Transformers 4.17.0 | |
| - Pytorch 1.10.0+cu111 | |
| - Datasets 2.0.0 | |
| - Tokenizers 0.11.6 | |