roberta-base-ca-finetuned-hate-speech-offensive-catalan

JonatanGk/roberta-base-ca-finetuned-hate-speech-offensive-catalan

roberta-base-ca-finetuned-hate-speech-offensive-catalan 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. --

Downloads · 30 days

2% of all-time downloads

All-time downloads

1.2K

Public

Repo size

8.6 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin504 MB · 99%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: roberta
Access: Public
Created: Mar 2, 2022
Updated: Oct 18, 2021
SHA: 4a17bacc

Try a prompt

Model card

From the Hugging Face model README

roberta-base-ca-finetuned-mnli

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

Loss: 0.4137
Accuracy: 0.8778

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
0.3699	1.0	1255	0.3712	0.8669
0.3082	2.0	2510	0.3401	0.8766
0.2375	3.0	3765	0.4137	0.8778
0.1889	4.0	5020	0.4671	0.8733
0.1486	5.0	6275	0.5205	0.8749

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: Oct 18, 2021