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DeBERTa-V3_SQuAD-V2 – AI Model by RyyDer | AlphaNeural AI
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RyyDer
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DeBERTa-V3_SQuAD-V2
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transformers
safetensors
deberta-v2
question-answering
generated_from_trainer
microsoft/deberta-v3-base
finetune
mit
endpoints_compatible
us
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DeBERTa-v3_qa_model
This model is a fine-tuned version of
microsoft/deberta-v3-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0962
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: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.2056
1.0
1000
1.0022
0.7035
2.0
2000
0.9728
0.4364
3.0
3000
1.0962
Framework versions
Transformers 4.50.0
Pytorch 2.6.0+cu118
Datasets 3.4.1
Tokenizers 0.21.1
