fine_tuned_boolq_bert

lenatr99/fine_tuned_boolq_bert

fine_tuned_boolq_bert is a text classification model from lenatr99. Use it when you need a label for a piece of text. 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: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: May 3, 2024
Updated: May 3, 2024
SHA: 530eae0d

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Base models

google-bert/bert-base-uncased

Model card

From the Hugging Face model README

fine_tuned_boolq_bert

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

Loss: 1.5736
Accuracy: 0.7222
F1: 0.7325

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 400

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.6443	4.1667	50	0.5606	0.7778	0.6806
0.3932	8.3333	100	0.6016	0.6111	0.6255
0.126	12.5	150	1.0887	0.5	0.5418
0.0166	16.6667	200	1.5543	0.5556	0.5829
0.0041	20.8333	250	1.5032	0.7222	0.7325
0.0022	25.0	300	1.7354	0.6667	0.6872
0.0018	29.1667	350	1.5756	0.6667	0.6667
0.0016	33.3333	400	1.5736	0.7222	0.7325

Framework versions

Transformers 4.40.1
Pytorch 2.3.0
Datasets 2.19.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: May 3, 2024
Updated: May 3, 2024