gaslighting-detector-binary-finetuned-roberta-tagalog-base – AI Model by Tokyosaurus | AlphaNeural AI

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Tokyosaurus/
gaslighting-detector-binary-finetuned-roberta-tagalog-base

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text-classification

generated_from_trainer

jcblaise/roberta-tagalog-base

text-embeddings-inference

endpoints_compatible

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gaslighting-detector-binary-finetuned-roberta-tagalog-base

This model is a fine-tuned version of jcblaise/roberta-tagalog-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3896
Accuracy: 0.9111
F1: 0.9167
Precision: 0.8627
Recall: 0.9778

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: 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: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.3269	1.0	27	0.2622	0.9222	0.9263	0.88	0.9778
0.0822	2.0	54	0.2653	0.9444	0.9462	0.9167	0.9778
0.0461	3.0	81	0.2898	0.9444	0.9462	0.9167	0.9778
0.0140	4.0	108	0.3100	0.9444	0.9462	0.9167	0.9778
0.0071	5.0	135	0.3198	0.9333	0.9348	0.9149	0.9556

Framework versions

Transformers 5.0.0
Pytorch 2.7.1+cu118
Datasets 4.5.0
Tokenizers 0.22.2