bert-base-cased-finetuned

badokorach/bert-base-cased-finetuned

bert-base-cased-finetuned is a question answering model from badokorach. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Question Answering
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jul 31, 2023
Updated: Jul 31, 2023
SHA: 03ee539a

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Base models

Model card

From the Hugging Face model README

bert-base-cased-finetuned

This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.3217

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	66	2.6893
No log	2.0	132	2.4447
No log	3.0	198	2.3882
No log	4.0	264	2.3255
No log	5.0	330	2.3217

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.2
Tokenizers 0.13.3

Task: Question Answering
Library: transformers
Type: bert
License: apache-2.0
Created: Jul 31, 2023
Updated: Jul 31, 2023