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deberta-v3-base-feverous-reasoner – AI Model by sonavp277 | AlphaNeural AI
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deberta-v3-base-feverous-reasoner
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safetensors
deberta-v2
generated_from_trainer
feverous
microsoft/deberta-v3-base
finetune
mit
us
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deberta-v3-base-feverous-reasoner
This model is a fine-tuned version of
microsoft/deberta-v3-base
on the feverous dataset. It achieves the following results on the evaluation set:
Loss: 0.9284
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.7825
1.0
625
0.8935
0.7348
2.0
1250
0.9012
0.6793
3.0
1875
0.9284
Framework versions
Transformers 4.41.2
Pytorch 2.6.0+cu124
Datasets 2.19.0
Tokenizers 0.19.1
