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Yuvrajg2107/
deberta-v3-hybrid-detector

Name: deberta-v3-hybrid-detector
Availability: InStock

generated_from_trainer

google/electra-large-discriminator

finetune

apache-2.0

endpoints_compatible

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deberta-v3-hybrid-detector

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

Loss: 0.0564
Accuracy: 0.9654

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: 2
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
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: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0926	0.125	1000	0.0443	0.9446
0.0565	0.25	2000	0.0480	0.9251
0.0442	0.375	3000	0.2126	0.8871
0.0383	0.5	4000	0.0716	0.9479
0.0332	0.625	5000	0.2383	0.8774
0.0253	0.75	6000	0.0347	0.9706
0.0168	0.875	7000	0.0347	0.9795
0.0117	1.0	8000	0.0564	0.9654

Framework versions

Transformers 4.57.3
Pytorch 2.8.0+cu126
Datasets 4.4.2
Tokenizers 0.22.1

Yuvrajg2107/deberta-v3-hybrid-detector

deberta-v3-hybrid-detector

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Yuvrajg2107/
deberta-v3-hybrid-detector