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deberta-v3-hybrid-detector_1 – AI Model by Yuvrajg2107 | AlphaNeural AI
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deberta-v3-hybrid-detector_1
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transformers
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-small
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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deberta-v3-hybrid-detector_1
This model is a fine-tuned version of
microsoft/deberta-v3-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0026
Accuracy: 0.9955
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: 32
eval_batch_size: 32
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: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.002
0.6274
1000
0.0026
0.9955
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1
