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emp-legal-deberta-reward-single_rule-tense – AI Model by cheonkamjeong | AlphaNeural AI

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cheonkamjeong/
emp-legal-deberta-reward-single_rule-tense

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text-classification

generated_from_trainer

microsoft/deberta-v3-base

autotrain_compatible

endpoints_compatible

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emp-legal-deberta-reward-single_rule-tense

This model is a fine-tuned version of microsoft/deberta-v3-base 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: 1.41e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0

Training results

Framework versions

Transformers 4.45.2
Pytorch 2.5.1+cu121
Datasets 2.21.0
Tokenizers 0.20.1