mlm-20230405-002-4 – AI Model by intanm | AlphaNeural AI

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mlm-20230405-002-4

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mlm-20230405-002-4

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: 1.9203

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	284	4.0646
4.7247	2.0	568	3.3108
4.7247	3.0	852	3.0008
3.1652	4.0	1136	2.7421
3.1652	5.0	1420	2.5398
2.6664	6.0	1704	2.4601
2.6664	7.0	1988	2.3281
2.4079	8.0	2272	2.2595
2.235	9.0	2556	2.2096
2.235	10.0	2840	2.1656
2.1012	11.0	3124	2.1208
2.1012	12.0	3408	2.0601
1.9958	13.0	3692	2.0032
1.9958	14.0	3976	2.0479
1.9279	15.0	4260	1.9541
1.8739	16.0	4544	1.9563
1.8739	17.0	4828	1.9444
1.8358	18.0	5112	1.9108
1.8358	19.0	5396	1.9408
1.8018	20.0	5680	1.9278

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3