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ner_model – AI Model by AmzurATG | AlphaNeural AI
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AmzurATG
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ner_model
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transformers
tensorboard
safetensors
deberta-v2
token-classification
generated_from_trainer
AmzurATG/deberta-ad-ner-final-v3
finetune
mit
endpoints_compatible
us
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ner_model
This model is a fine-tuned version of
AmzurATG/deberta-ad-ner-final-v3
on the None dataset.
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: 16
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: linear
num_epochs: 5
Training results
Framework versions
Transformers 4.57.6
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
