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mDeBERTa-v3-base-mnli-xnli-finetune_v2 – AI Model by BishanSingh246 | AlphaNeural AI
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BishanSingh246
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mDeBERTa-v3-base-mnli-xnli-finetune_v2
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transformers
tensorboard
safetensors
deberta-v2
text-classification
generated_from_trainer
MoritzLaurer/mDeBERTa-v3-base-mnli-xnli
finetune
mit
autotrain_compatible
endpoints_compatible
us
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mDeBERTa-v3-base-mnli-xnli-finetune_v2
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: 15
Training results
Framework versions
Transformers 4.39.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
