mlm-20230416-003-1

This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.3201

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: 20

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	330	4.2545
5.0912	2.0	660	3.6314
5.0912	3.0	990	3.2435
3.7016	4.0	1320	3.0558
3.22	5.0	1650	2.9062
3.22	6.0	1980	2.8126
2.946	7.0	2310	2.6621
2.7682	8.0	2640	2.5513
2.7682	9.0	2970	2.5651
2.624	10.0	3300	2.5347
2.5466	11.0	3630	2.4664
2.5466	12.0	3960	2.4375
2.4496	13.0	4290	2.4663
2.395	14.0	4620	2.3948
2.395	15.0	4950	2.4003
2.3377	16.0	5280	2.3072
2.2881	17.0	5610	2.3502
2.2881	18.0	5940	2.3236
2.2659	19.0	6270	2.3138
2.2419	20.0	6600	2.3359

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3