gigazine-title-classification

tuna2134/gigazine-title-classification

gigazine-title-classification is a text classification model from tuna2134. Use it when you need a label for a piece of text. The card lists the license as cc-by-sa-4.0.

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

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At a glance

Task: Text Classification
License: cc-by-sa-4.0
Model type: bert
Access: Public
Created: Aug 6, 2024
Updated: Aug 6, 2024
SHA: 3547b9a1

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Base models

tohoku-nlp/bert-base-japanese

Model card

From the Hugging Face model README

gigazine-title-classification

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

Loss: 1.4894
Accuracy: 0.617

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-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 256
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	Accuracy
0.5588	0.768	3	1.5196	0.602
0.3835	1.792	7	1.4909	0.61
0.2563	2.304	9	1.4894	0.617

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Type: bert
License: cc-by-sa-4.0
Created: Aug 6, 2024
Updated: Aug 6, 2024