DEBUGG-DatasetQAS-DEBUGdataset-with-DEBUGmodel

This model is a fine-tuned version of indolem/indobert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.6261
• Exact Match: 46.0733
• F1: 54.0012
• Precision: 53.9579
• Recall: 55.6254

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: 1e-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_ratio: 0.06
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Exact Match	F1	Precision	Recall
1.9553	0.5	306	1.9202	36.3002	44.3381	44.0903	46.4319
1.6765	1.0	612	1.6261	46.0733	54.0012	53.9579	55.6254

Framework versions

• Transformers 4.27.4
• Pytorch 2.0.0+cu117
• Datasets 2.2.0
• Tokenizers 0.13.3