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AIWizards/
MultiPRIDE-DualEncoder-LPFT-it

Name: MultiPRIDE-DualEncoder-LPFT-it
Rating: 2.5 (14 reviews)

generated_from_trainer

nickprock/setfit-italian-hate-speech

finetune

apache-2.0

endpoints_compatible

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MultiPRIDE-DualEncoder-LPFT-it

This model is a fine-tuned version of nickprock/setfit-italian-hate-speech on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0105
Accuracy: 0.9693
F1: 0.9180
Precision: 0.9333
Recall: 0.9032

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: 1337
optimizer: Use adamw_torch_fused 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	F1	Precision	Recall
0.1597	1.0	95	0.1206	0.8528	0.5385	0.6667	0.4516
0.1218	2.0	190	0.0621	0.8834	0.7077	0.6765	0.7419
0.0744	3.0	285	0.0270	0.9387	0.8438	0.8182	0.8710
0.0431	4.0	380	0.0167	0.9632	0.9032	0.9032	0.9032
0.0393	5.0	475	0.0128	0.9571	0.8889	0.875	0.9032
0.0223	6.0	570	0.0116	0.9693	0.9180	0.9333	0.9032
0.0432	7.0	665	0.0108	0.9693	0.9180	0.9333	0.9032
0.0348	8.0	760	0.0105	0.9693	0.9180	0.9333	0.9032
0.035	9.0	855	0.0105	0.9693	0.9180	0.9333	0.9032

Framework versions

Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1

AIWizards/MultiPRIDE-DualEncoder-LPFT-it

MultiPRIDE-DualEncoder-LPFT-it

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AIWizards/
MultiPRIDE-DualEncoder-LPFT-it