64_no_mask_no_model_2

iTroned/64_no_mask_no_model_2

64_no_mask_no_model_2 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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Updated Apr 2, 2025

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At a glance

Library: transformers
Access: Public
Created: Apr 2, 2025
Updated: Apr 2, 2025
SHA: 1be6737e

Model card

From the Hugging Face model README

64_no_mask_no_model_2

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

Loss: 0.0874
Accuracy Offensive: 0.9535
F1 Offensive: 0.9527
Accuracy Targeted: 1.0
F1 Targeted: 1.0
Accuracy Stance: 0.8912
F1 Stance: 0.8593

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
0.4398	1.0	1324	0.2658	0.9535	0.9527	0.9535	0.9311	0.8912	0.8489
0.213	2.0	2648	0.1976	0.9535	0.9527	0.9535	0.9311	0.8912	0.8489
0.178	3.0	3972	0.1615	0.9535	0.9527	0.9535	0.9311	0.8912	0.8489
0.1501	4.0	5296	0.1363	0.9535	0.9527	0.9535	0.9311	0.8912	0.8593
0.131	5.0	6620	0.1193	0.9535	0.9527	1.0	1.0	0.8912	0.8593
0.1208	6.0	7944	0.1056	0.9535	0.9527	1.0	1.0	0.8912	0.8593
0.1142	7.0	9268	0.0965	0.9535	0.9527	1.0	1.0	0.8912	0.8593
0.1031	8.0	10592	0.0915	0.9535	0.9527	1.0	1.0	0.8912	0.8593
0.1019	9.0	11916	0.0890	0.9535	0.9527	1.0	1.0	0.8912	0.8593
0.0963	10.0	13240	0.0874	0.9535	0.9527	1.0	1.0	0.8912	0.8593

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