metadata

license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
  - monolingual
metrics:
  - accuracy
model-index:
  - name: indobertweet-base-uncased-fire-classification-silvanus
    results: []
widget:
  - text: >-
      Kebakaran hutan dan lahan terus terjadi dan semakin meluas di Kota
      Palangkaraya, Kalimantan Tengah (Kalteng) pada hari Rabu, 15 Nopember 2023
      20.00 WIB. Bahkan kobaran api mulai membakar pondok warga dan mendekati
      permukiman. BZK #RCTINews #SeputariNews #News #Karhutla #KebakaranHutan
      #HutanKalimantan #SILVANUS_Italian_Pilot_Testing
    example_title: Indonesia
datasets:
  - rollerhafeezh-amikom/fire-classification
language:
  - id

indobertweet-base-uncased-fire-classification-silvanus

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

Loss: 0.1071
Accuracy: 0.9767

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
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	49	0.2508	0.8372
No log	2.0	98	0.1133	0.9535
No log	3.0	147	0.1071	0.9767

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1