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SagorSarkerNER – AI Model by Shajreen | AlphaNeural AI

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Shajreen/
SagorSarkerNER

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question-answering

generated_from_trainer

endpoints_compatible

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Accuracy_SagorSarker_QA

This model is a fine-tuned version of sagorsarker/bangla-bert-base on the squad_bn 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: 5e-06
train_batch_size: 16
eval_batch_size: 16
seed: 33
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20
mixed_precision_training: Native AMP

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3