fine-tuned-tiny-bert-base-uncased-large-dataset

This model is a fine-tuned version of patrickxchong/bert-tiny-bahasa-cased-sentiment on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0000
• eval_accuracy: {'accuracy': 1.0}
• eval_f1score: {'f1': 1.0}
• eval_runtime: 7.9696
• eval_samples_per_second: 115.188
• eval_steps_per_second: 14.43
• 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