gaslighting-detector-binary-bert-base-multilingual-uncased – AI Model by Tokyosaurus | AlphaNeural AI

You can deploy this model and start earning money today!

Tokyosaurus/
gaslighting-detector-binary-bert-base-multilingual-uncased

like

0

text-classification

generated_from_trainer

google-bert/bert-base-multilingual-uncased

text-embeddings-inference

endpoints_compatible

Views

No views yet

gaslighting-detector-binary-bert-base-multilingual-uncased

This model is a fine-tuned version of bert-base-multilingual-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5933
Accuracy: 0.8667
F1: 0.875

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
0.5679	1.0	80	0.3193	0.8718	0.8718
0.1888	2.0	160	0.4131	0.8791	0.8721
0.1982	3.0	240	0.2910	0.9194	0.9206
0.1156	4.0	320	0.3088	0.9231	0.9242
0.0861	5.0	400	0.3282	0.9267	0.9270

Framework versions

Transformers 5.0.0
Pytorch 2.7.1+cu118
Datasets 4.5.0
Tokenizers 0.22.2