Prience91
/

Question_Answering_extractive

question-answering

question answering

Generated from Trainer

Model card Files Files and versions

a-extractive

This model is a fine-tuned version of bert-base-cased 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: 8
eval_batch_size: 8
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
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 5.14.1
Pytorch 2.13.0+cu130
Datasets 5.0.0
Tokenizers 0.22.2

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Safetensors

Model size

0.1B params

Tensor type

F32

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Model tree for Prience91/Question_Answering_extractive

Base model

google-bert/bert-base-cased

Finetuned

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