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deberta-v3-small-patentmatch-v2 – AI Model by orgr | AlphaNeural AI

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orgr/
deberta-v3-small-patentmatch-v2

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text-classification

generated_from_trainer

microsoft/deberta-v3-small

autotrain_compatible

endpoints_compatible

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deberta-v3-small-patentmatch-v2

This model is a fine-tuned version of microsoft/deberta-v3-small on an unknown 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: 5e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
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
lr_scheduler_warmup_steps: 500
num_epochs: 1

Framework versions

Transformers 4.48.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0