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tp-csa-verifier-deberta-v3-100k – AI Model by ZayedRehman | AlphaNeural AI
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ZayedRehman
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tp-csa-verifier-deberta-v3-100k
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transformers
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-base
finetune
mit
endpoints_compatible
us
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tp-csa-verifier-deberta-v3-100k
This model is a fine-tuned version of
microsoft/deberta-v3-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
Accuracy: 1.0
Precision: 1.0
Recall: 1.0
F1: 1.0
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: 3
Training results
Framework versions
Transformers 4.57.6
Pytorch 2.8.0+cu126
Datasets 4.5.0
Tokenizers 0.22.1
