metadata

library_name: transformers
license: mit
base_model: ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa
tags:
  - generated_from_trainer
model-index:
  - name: bert-indonesian-finetuned-news
    results: []

bert-indonesian-finetuned-news

This model is a fine-tuned version of ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.1852
eval_model_preparation_time: 0.0032
eval_accuracy: 0.73
eval_runtime: 0.7599
eval_samples_per_second: 131.604
eval_steps_per_second: 17.109
step: 0

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
lr_scheduler_warmup_steps: 70
num_epochs: 7

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1