new_hate_speech_test_8_no_mask_no_model

iTroned/new_hate_speech_test_8_no_mask_no_model

new_hate_speech_test_8_no_mask_no_model is a machine learning model from iTroned. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.

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

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Public

Updated Apr 2, 2025

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At a glance

Library: transformers
Access: Public
Created: Apr 2, 2025
Updated: Apr 2, 2025
SHA: 211445e4

Model card

From the Hugging Face model README

new_hate_speech_test_8_no_mask_no_model

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2743
Accuracy Offensive: 0.8448
F1 Offensive: 0.8305
Accuracy Targeted: 0.9535
F1 Targeted: 0.9311
Accuracy Stance: 0.8912
F1 Stance: 0.8489

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy Offensive	F1 Offensive	Accuracy Targeted	F1 Targeted	Accuracy Stance	F1 Stance
0.65	1.0	1324	0.4717	0.6545	0.5178	0.9535	0.9311	0.8912	0.8489
0.405	2.0	2648	0.3707	0.6545	0.5178	0.9535	0.9311	0.8912	0.8489
0.368	3.0	3972	0.3392	0.6545	0.5178	0.9535	0.9311	0.8912	0.8489
0.3456	4.0	5296	0.3187	0.6545	0.5178	0.9535	0.9311	0.8912	0.8489
0.3212	5.0	6620	0.3036	0.6545	0.5178	0.9535	0.9311	0.8912	0.8489
0.3089	6.0	7944	0.2931	0.6545	0.5178	0.9535	0.9311	0.8912	0.8489
0.3045	7.0	9268	0.2840	0.6545	0.5178	0.9535	0.9311	0.8912	0.8593
0.2924	8.0	10592	0.2787	0.8448	0.8305	0.9535	0.9311	0.8912	0.8489
0.2898	9.0	11916	0.2753	0.8448	0.8305	0.9535	0.9311	0.8912	0.8489
0.2859	10.0	13240	0.2743	0.8448	0.8305	0.9535	0.9311	0.8912	0.8489

Framework versions

Transformers 4.50.2
Pytorch 2.6.0+cu124
Datasets 3.0.1
Tokenizers 0.21.1

Library: transformers
Created: Apr 2, 2025
Updated: Apr 2, 2025