license: apache-2.0
tags:
- null
datasets:
- EXIST Dataset
metrics:
- accuracy
model-index:
- name: twitter_sexismo-finetuned-exist2021
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: EXIST Dataset
type: EXIST Dataset
args: es
metrics:
- name: Accuracy
type: accuracy
value: 0.86
twitter_sexismo-finetuned-exist2021
This model is a fine-tuned version of pysentimiento/robertuito-hate-speech on the EXIST dataset. It achieves the following results on the evaluation set:
- Loss: 0.4
- Accuracy: 0.86
Model description
Modelo para el Hackaton de Somos NLP para detección de sexismo en twitts en español
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- my_learning_rate = 5E-5
- my_adam_epsilon = 1E-8
- my_number_of_epochs = 8
- my_warmup = 3
- my_mini_batch_size = 32
- optimizer: AdamW with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
Epoch Training Loss Validation Loss Accuracy F1 Precision Recall
1 0.398400 0.336709 0.861404 0.855311 0.872897 0.838420
2 0.136100 0.575872 0.846491 0.854772 0.794753 0.924596
3 0.105600 0.800685 0.848246 0.837863 0.876471 0.802513
4 0.066500 0.928388 0.849123 0.856187 0.801252 0.919210
5 0.004500 0.990655 0.851754 0.853680 0.824415 0.885099
6 0.005500 1.035315 0.852632 0.856164 0.818331 0.897666
7 0.000200 1.052970 0.857895 0.859375 0.831933 0.888689
8 0.001700 1.048338 0.856140 0.857143 0.832487 0.883303
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Tokenizers 0.11.6