distilroberta-finetuned-tweets-hate-speech-finetuned

fahad1247/distilroberta-finetuned-tweets-hate-speech-finetuned

distilroberta-finetuned-tweets-hate-speech-finetuned is a text classification model from fahad1247. Use it when you need a label for a piece of text. It is set up for transformers.

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

Downloads · 30 days

1% of all-time downloads

All-time downloads

479

Public

Repo size

986 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin329 MB · 99%

At a glance

Task: Text Classification
Library: transformers
Model type: roberta
Access: Public
Created: Dec 2, 2022
Updated: Dec 2, 2022
SHA: 4eaf02fa

Try a prompt

Model card

From the Hugging Face model README

distilroberta-finetuned-tweets-hate-speech-finetuned

This model is a fine-tuned version of mrm8488/distilroberta-finetuned-tweets-hate-speech on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5391
Accuracy: 0.7956
F1: 0.8417

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: 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

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.4544	1.0	1548	0.4946	0.8014	0.8517
0.41	2.0	3096	0.4559	0.8026	0.8493
0.3547	3.0	4644	0.5391	0.7956	0.8417

Framework versions

Transformers 4.16.2
Pytorch 1.12.1+cu113
Datasets 1.18.3
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: roberta
Created: Dec 2, 2022
Updated: Dec 2, 2022