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BMU_DistilBERT_finetuned_squad2 – AI Model by Deepanshu7284 | AlphaNeural AI

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Deepanshu7284/
BMU_DistilBERT_finetuned_squad2

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distilbert/distilbert-base-uncased

endpoints_compatible

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BMU_DistilBERT_finetuned_squad2

This model is a fine-tuned version of distilbert-base-uncased on an unknown 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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use 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: 4
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.51.1
Pytorch 2.5.1+cu121
Datasets 3.5.0
Tokenizers 0.21.0