indonesian_bert_gelu_new – AI Model by pijarcandra22 | AlphaNeural AI

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pijarcandra22/
indonesian_bert_gelu_new

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generated_from_trainer

google-bert/bert-base-multilingual-cased

autotrain_compatible

endpoints_compatible

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indonesian_bert_gelu_new

This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.9961

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: 5e-05
train_batch_size: 60
eval_batch_size: 60
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
4.2587	1.0	574	3.9221
3.747	2.0	1148	3.6187
3.428	3.0	1722	3.4702
3.2973	4.0	2296	3.3101
3.1319	5.0	2870	3.3198
3.0804	6.0	3444	3.0687
2.9809	7.0	4018	3.1006
2.9337	8.0	4592	3.0906
2.8881	9.0	5166	3.0720
2.8466	10.0	5740	2.9961

Framework versions

Transformers 4.45.2
Pytorch 2.5.1+cu124
Datasets 2.19.0
Tokenizers 0.20.3