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mDeBERTa-v3-base-mnli-xnli-finetune_v1 – AI Model by BishanSingh246 | AlphaNeural AI

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BishanSingh246/
mDeBERTa-v3-base-mnli-xnli-finetune_v1

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text-classification

generated_from_trainer

MoritzLaurer/mDeBERTa-v3-base-mnli-xnli

autotrain_compatible

endpoints_compatible

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mDeBERTa-v3-base-mnli-xnli-finetune_v1

This model is a fine-tuned version of MoritzLaurer/mDeBERTa-v3-base-mnli-xnli 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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 6

Training results

Framework versions

Transformers 4.39.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2