File size: 1,756 Bytes
3348c74 cc4191c 3348c74 cc4191c 3348c74 f876b41 dff088e 3348c74 56098fe 3348c74 dff088e cc4191c 3348c74 dff088e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 |
---
license: apache-2.0
tags:
- text-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: misogynistic-statements-classification-model
results: []
widget:
- text: Las mujeres deben ser madres antes que nada
example_title: Machista
- text: >-
Las mujeres tienen el mismo potencial y habilidades para los negocios que
los hombres
example_title: No machista
datasets:
- glombardo/misogynistic-statements-classification
language:
- es
output_data:
- format: class
- class_labels: ["Sexist", "Non-sexist"]
---
<!-- 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. -->
# Misogynistic statements classification model
**Model that classifies text as sexist or non-sexist.**
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the [misogynistic-statements-classification dataset](https://huggingface.co/datasets/glombardo/misogynistic-statements-classification).
It achieves the following results on the evaluation set:
- Loss: 0.2493
- Accuracy: 0.9524
## 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: 5e-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
### Training results
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3 |