metadata
base_model: databoks-irfan/socmed-comment-roberta-base-indonesian-smsa
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: twitter-comment-roberta-base-indonesian-smsa
results: []
twitter-comment-roberta-base-indonesian-smsa
This model is a fine-tuned version of databoks-irfan/socmed-comment-roberta-base-indonesian-smsa on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7945
- Accuracy: 0.9069
- F1: 0.9073
- Precision: 0.9091
- Recall: 0.9069
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0