vensys-click-judge – AI Model by maruffarras | AlphaNeural AI

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maruffarras/
vensys-click-judge

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text-classification

generated_from_trainer

indobenchmark/indobert-base-p1

text-embeddings-inference

endpoints_compatible

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vensys-click-judge

This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1078

Model description

Model to determine what category of the activity based on activity logs

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 4e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 10
label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss
0.9792	1.0	98	1.4379
0.8682	2.0	196	1.2967
0.7972	3.0	294	1.1988
0.7893	4.0	392	1.1542
0.7672	5.0	490	1.1370
0.7408	6.0	588	1.1223
0.7584	7.0	686	1.1147
0.7384	8.0	784	1.1098
0.7426	9.0	882	1.1078
0.7483	10.0	980	1.1078

Framework versions

Transformers 5.14.0
Pytorch 2.12.1+cu126
Datasets 5.0.0
Tokenizers 0.22.2