mlm-20230404-001-2

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: 2.6712

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	203	4.8333
No log	2.0	406	4.1204
5.0807	3.0	609	3.7397
5.0807	4.0	812	3.5191
3.6349	5.0	1015	3.3306
3.6349	6.0	1218	3.2312
3.6349	7.0	1421	3.0555
3.1436	8.0	1624	2.9527
3.1436	9.0	1827	3.0033
2.8913	10.0	2030	2.8863
2.8913	11.0	2233	2.9222
2.8913	12.0	2436	2.8261
2.7111	13.0	2639	2.8103
2.7111	14.0	2842	2.7710
2.6147	15.0	3045	2.7576
2.6147	16.0	3248	2.7427
2.6147	17.0	3451	2.7259
2.5106	18.0	3654	2.6895
2.5106	19.0	3857	2.6798
2.4705	20.0	4060	2.6778

Framework versions

• Transformers 4.27.4
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.2