indobert-base-uncased-fine-tuned-hs-new – AI Model by PaceKW | AlphaNeural AI

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PaceKW/
indobert-base-uncased-fine-tuned-hs-new

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text-classification

generated_from_trainer

indolem/indobert-base-uncased

autotrain_compatible

endpoints_compatible

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indobert-base-uncased-fine-tuned-hs-new

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

Loss: 0.6946
F1: 0.6140
Roc Auc: 0.5000
Accuracy: 0.0005

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.6973	1.0	2002	0.6962	0.5829	0.5003	0.0
0.6958	2.0	4004	0.6952	0.5258	0.4995	0.0015
0.6958	3.0	6006	0.6946	0.6140	0.5000	0.0005
0.6948	4.0	8008	0.6947	0.5332	0.5015	0.0
0.6901	5.0	10010	0.7022	0.5147	0.4944	0.0

Framework versions

Transformers 4.51.3
Pytorch 2.7.0+cu128
Datasets 3.6.0
Tokenizers 0.21.1