Bert_Bahasa_Sentiment-large-dataset

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

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