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results – AI Model by SorfarajAli | AlphaNeural AI
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SorfarajAli
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transformers
safetensors
deberta-v2
multiple-choice
generated_from_trainer
microsoft/deberta-v3-base
finetune
mit
endpoints_compatible
us
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This model is a fine-tuned version of
microsoft/deberta-v3-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3860
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: 4
eval_batch_size: 4
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
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.3975
1.0
1675
1.3863
1.4129
2.0
3350
1.3862
1.385
3.0
5025
1.3860
Framework versions
Transformers 4.55.2
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.21.4
