balinese_bert_gelu_new – AI Model by pijarcandra22 | AlphaNeural AI

You can deploy this model and start earning money today!

pijarcandra22/
balinese_bert_gelu_new

like

0

generated_from_trainer

google-bert/bert-base-multilingual-cased

autotrain_compatible

endpoints_compatible

Views

No views yet

balinese_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: 2.9745

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
4.1393	1.0	2843	4.0532
3.6491	2.0	5686	3.6924
3.4159	3.0	8529	3.5218
3.2105	4.0	11372	3.3755
3.0756	5.0	14215	3.2582
2.9596	6.0	17058	3.1466
2.8365	7.0	19901	3.0997
2.8275	8.0	22744	3.0202
2.6495	9.0	25587	3.0060
2.6153	10.0	28430	2.9745

Framework versions

Transformers 4.45.2
Pytorch 2.5.1+cu124
Datasets 2.19.0
Tokenizers 0.20.3