haspeech_ita

luigisaetta/haspeech_ita

haspeech_ita is a text classification model from luigisaetta. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as gpl-3.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: gpl-3.0
Model type: xlm-roberta
Access: Public
Created: Nov 27, 2023
Updated: Nov 27, 2023
SHA: 2931e8ba

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Base models

MilaNLProc/hate-ita-xlm-r-large

Model card

From the Hugging Face model README

haspeech_ita

This model is a fine-tuned version of MilaNLProc/hate-ita-xlm-r-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0250
F1 Macro: 0.9966
Accuracy: 0.9973

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
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Macro	Accuracy
0.4001	0.48	100	0.1722	0.9198	0.9377
0.1669	0.96	200	0.0355	0.9865	0.9892
0.0824	1.44	300	0.0839	0.9864	0.9892
0.0672	1.92	400	0.0277	0.9933	0.9946
0.0761	2.4	500	0.0483	0.9933	0.9946
0.0413	2.88	600	0.0250	0.9966	0.9973

Framework versions

Transformers 4.35.2
Pytorch 2.0.1
Datasets 2.15.0
Tokenizers 0.15.0

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: gpl-3.0
Created: Nov 27, 2023
Updated: Nov 27, 2023