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qa_model – AI Model by bertmnv | AlphaNeural AI | AlphaNeural AI

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bertmnv/
qa_model

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question-answering

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deepset/bert-base-cased-squad2

endpoints_compatible

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qa_model

This model is a fine-tuned version of deepset/bert-base-cased-squad2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3648

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: 3e-05
train_batch_size: 64
eval_batch_size: 8
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: 2
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1