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--- |
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license: apache-2.0 |
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base_model: indolem/indobertweet-base-uncased |
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tags: |
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- monolingual |
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metrics: |
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- accuracy |
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model-index: |
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- name: indobertweet-base-uncased-fire-classification-silvanus |
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results: [] |
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widget: |
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- text: >- |
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Kebakaran hutan dan lahan terus terjadi dan semakin meluas di Kota |
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Palangkaraya, Kalimantan Tengah (Kalteng) pada hari Rabu, 15 Nopember 2023 |
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20.00 WIB. Bahkan kobaran api mulai membakar pondok warga dan mendekati |
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permukiman. BZK #RCTINews #SeputariNews #News #Karhutla #KebakaranHutan |
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#HutanKalimantan #SILVANUS_Italian_Pilot_Testing |
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example_title: Indonesia |
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datasets: |
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- rollerhafeezh-amikom/fire-classification |
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language: |
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- id |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# indobertweet-base-uncased-fire-classification-silvanus |
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This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1071 |
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- Accuracy: 0.9767 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 49 | 0.2508 | 0.8372 | |
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| No log | 2.0 | 98 | 0.1133 | 0.9535 | |
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| No log | 3.0 | 147 | 0.1071 | 0.9767 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
