japanese-roberta-base-finetuned-rinna

Bersk/japanese-roberta-base-finetuned-rinna

japanese-roberta-base-finetuned-rinna is a text classification model from Bersk. Use it when you need a label for a piece of text. 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: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Mar 6, 2023
Updated: Mar 14, 2023
SHA: acaccaac

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Model card

From the Hugging Face model README

japanese-roberta-base-finetuned-rinna

This model is a fine-tuned version of rinna/japanese-roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9637
Precision: 0.8062
Recall: 0.8107
F1: 0.8071

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: 4
eval_batch_size: 4
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	Precision	Recall	F1
0.7188	1.0	617	0.5825	0.7584	0.7945	0.7724
0.5951	2.0	1234	0.7466	0.7489	0.7799	0.7628
0.5206	3.0	1851	0.9570	0.7814	0.7767	0.7747
0.4061	4.0	2468	0.9637	0.8062	0.8107	0.8071
0.1879	5.0	3085	1.0516	0.8028	0.8026	0.8021

Framework versions

Transformers 4.25.1
Pytorch 1.13.0
Datasets 2.8.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Mar 6, 2023
Updated: Mar 14, 2023