metadata

base_model: techthiyanes/Bert_Bahasa_Sentiment
tags:
  - generated_from_trainer
model-index:
  - name: Bert_Bahasa_Sentiment-large-dataset
    results: []

Bert_Bahasa_Sentiment-large-dataset

This model is a fine-tuned version of techthiyanes/Bert_Bahasa_Sentiment on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.6961
eval_accuracy: {'accuracy': 0.48474945533769065}
eval_f1score: {'f1': 0.31652752402827933}
eval_runtime: 33.4825
eval_samples_per_second: 27.417
eval_steps_per_second: 3.435
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: 0.0002
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: 642
num_epochs: 7

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1