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target-abroad-de – AI Model by selsar | AlphaNeural AI
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target-abroad-de
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transformers
tensorboard
safetensors
deberta-v2
text-classification
generated_from_trainer
MoritzLaurer/mDeBERTa-v3-base-mnli-xnli
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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target-abroad-de
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
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
lr_scheduler_warmup_steps: 41
num_epochs: 3
Framework versions
Transformers 5.0.0
Pytorch 2.9.0+cu126
Datasets 4.5.0
Tokenizers 0.22.2
