noise_test_v1_no_model

iTroned/noise_test_v1_no_model

noise_test_v1_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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Hugging Face

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At a glance

Library: transformers
Access: Public
Created: Apr 2, 2025
Updated: Apr 2, 2025
SHA: 762f8dfd

Model card

From the Hugging Face model README

noise_test_v1_no_model

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

Loss: 0.2665
Accuracy Offensive: 0.9267
F1 Offensive: 0.9245
Accuracy Targeted: 0.9324
F1 Targeted: 0.9102
Accuracy Stance: 0.8776
F1 Stance: 0.8339

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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy Offensive	F1 Offensive	Accuracy Targeted	F1 Targeted	Accuracy Stance	F1 Stance
0.7441	1.0	1324	0.6579	0.8097	0.7856	0.6545	0.5178	0.7009	0.5777
0.5043	2.0	2648	0.3977	0.8920	0.8862	0.9252	0.9031	0.8769	0.8310
0.4323	3.0	3972	0.3412	0.8984	0.8934	0.9271	0.9050	0.8773	0.8326
0.3849	4.0	5296	0.3199	0.9052	0.9010	0.9313	0.9091	0.8746	0.8312
0.3679	5.0	6620	0.3025	0.9124	0.9088	0.9298	0.9075	0.8731	0.8299
0.3667	6.0	7944	0.2990	0.9169	0.9138	0.9313	0.9091	0.8773	0.8336
0.3557	7.0	9268	0.2924	0.9177	0.9147	0.9301	0.9079	0.8754	0.8316
0.3384	8.0	10592	0.2854	0.9230	0.9206	0.9305	0.9083	0.8754	0.8326
0.3293	9.0	11916	0.2838	0.9252	0.9229	0.9282	0.9061	0.8776	0.8335
0.3251	10.0	13240	0.2759	0.9260	0.9236	0.9320	0.9098	0.8769	0.8335
0.3153	11.0	14564	0.2676	0.9294	0.9273	0.9305	0.9083	0.8758	0.8327
0.3267	12.0	15888	0.2619	0.9309	0.9289	0.9335	0.9114	0.8826	0.8388
0.3093	13.0	17212	0.2713	0.9256	0.9234	0.9316	0.9094	0.8761	0.8326
0.3115	14.0	18536	0.2655	0.9286	0.9266	0.9298	0.9076	0.8735	0.8304

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