finetuning-sentiment-analysis-en-id

viviastaari/finetuning-sentiment-analysis-en-id

finetuning-sentiment-analysis-en-id is a text classification model from viviastaari. 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: distilbert
Access: Public
Created: May 23, 2022
Updated: May 23, 2022
SHA: 7f2e6727

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Model card

From the Hugging Face model README

finetuning-sentiment-analysis-en-id

This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1654
Accuracy: 0.9527
F1: 0.9646
Precision: 0.9641
Recall: 0.9652

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.4566	1.0	1602	0.3666	0.8473	0.8909	0.8530	0.9323
0.3458	2.0	3204	0.2193	0.9238	0.9432	0.9410	0.9454
0.2362	3.0	4806	0.1654	0.9527	0.9646	0.9641	0.9652

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: May 23, 2022
Updated: May 23, 2022