roberta-base-bne-finetuned-hate-speech-offensive-spanish

JonatanGk/roberta-base-bne-finetuned-hate-speech-offensive-spanish

roberta-base-bne-finetuned-hate-speech-offensive-spanish is a text classification model from JonatanGk. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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Model card

From the Hugging Face model README

roberta-base-bne-finetuned-mnli

This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2869
Accuracy: 0.9012

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3222	1.0	1255	0.2869	0.9012
0.2418	2.0	2510	0.3125	0.8987
0.1726	3.0	3765	0.4120	0.8943
0.0685	4.0	5020	0.5239	0.8919
0.0245	5.0	6275	0.5910	0.8947

Framework versions

Transformers 4.11.3
Pytorch 1.9.0+cu111
Datasets 1.12.1
Tokenizers 0.10.3

Task: Text Classification
Library: transformers
Type: roberta
License: apache-2.0
Created: Mar 2, 2022
Updated: May 9, 2023