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tmp – AI Model by KaHa7 | AlphaNeural AI
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tmp
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transformers
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-base
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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tmp
This model is a fine-tuned version of
microsoft/deberta-v3-base
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: 16
eval_batch_size: 8
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: 50
num_epochs: 2
Training results
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.4.2
Tokenizers 0.22.1
