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: 0.79
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: 0.40
- Accuracy: 0.79
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 = 2E-6
- my_adam_epsilon = 1E-8
- my_number_of_epochs = 15
- 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: 15
Training results
======== Epoch 9 / 15 ======== Training... Batch 50 of 143. Elapsed: 0:00:48. Batch 100 of 143. Elapsed: 0:01:37.
Average training loss: 0.43 Training epoch took: 0:02:18
======== Epoch 10 / 15 ======== Training... Batch 50 of 143. Elapsed: 0:00:48. Batch 100 of 143. Elapsed: 0:01:37.
Average training loss: 0.42 Training epoch took: 0:02:18
======== Epoch 11 / 15 ======== Training... Batch 50 of 143. Elapsed: 0:00:48. Batch 100 of 143. Elapsed: 0:01:37.
Average training loss: 0.42 Training epoch took: 0:02:18
======== Epoch 12 / 15 ======== Training... Batch 50 of 143. Elapsed: 0:00:48. Batch 100 of 143. Elapsed: 0:01:37.
Average training loss: 0.41 Training epoch took: 0:02:18
======== Epoch 13 / 15 ======== Training... Batch 50 of 143. Elapsed: 0:00:48. Batch 100 of 143. Elapsed: 0:01:36.
Average training loss: 0.40 Training epoch took: 0:02:18
======== Epoch 14 / 15 ======== Training... Batch 50 of 143. Elapsed: 0:00:48. Batch 100 of 143. Elapsed: 0:01:37.
Average training loss: 0.40 Training epoch took: 0:02:18
======== Epoch 15 / 15 ======== Training... Batch 50 of 143. Elapsed: 0:00:48. Batch 100 of 143. Elapsed: 0:01:36.
Average training loss: 0.40 Training epoch took: 0:02:18
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Tokenizers 0.11.6