RoBERTa-IndoSQuADv2_1691411576-8-2e-05-0.01-5

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

• Loss: 4.1379

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
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
5.6333	1.0	13	4.8929
4.7677	2.0	26	4.3994
4.1852	3.0	39	4.2310
3.9482	4.0	52	4.1576
3.7488	5.0	65	4.1379

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3