Yashodhar29/electra-large-descriminator-cpp

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