bert-base-uncased-squad-v1-finetuned-clickbait-detection

abdulmanaam/bert-base-uncased-squad-v1-finetuned-clickbait-detection

bert-base-uncased-squad-v1-finetuned-clickbait-detection is a question answering model from abdulmanaam. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Question Answering
Library: transformers
License: mit
Model type: bert
Access: Public
Created: Jul 31, 2024
Updated: Jul 31, 2024
SHA: 1fcd8133

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Base models

csarron/bert-base-uncased-squad-v1

Model card

From the Hugging Face model README

bert-base-uncased-squad-v1-finetuned-clickbait-detection

This model is a fine-tuned version of csarron/bert-base-uncased-squad-v1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8814

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	409	1.5630
2.1597	2.0	818	1.1105
1.4519	3.0	1227	0.8814

Framework versions

Transformers 4.44.0.dev0
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Question Answering
Library: transformers
Type: bert
License: mit
Created: Jul 31, 2024
Updated: Jul 31, 2024