topic_model – AI Model by Dhanang | AlphaNeural AI

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Dhanang/
topic_model

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text-classification

generated_from_trainer

indobenchmark/indobert-base-p2

autotrain_compatible

endpoints_compatible

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topic_model

This model is a fine-tuned version of indobenchmark/indobert-base-p2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0145
Accuracy: 0.9984

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	308	0.0315	0.9919
0.1039	2.0	616	0.0117	0.9984
0.1039	3.0	924	0.0147	0.9984
0.0047	4.0	1232	0.0223	0.9968
0.0002	5.0	1540	0.0138	0.9984
0.0002	6.0	1848	0.0140	0.9984
0.0001	7.0	2156	0.0142	0.9984
0.0001	8.0	2464	0.0144	0.9984
0.0001	9.0	2772	0.0145	0.9984
0.0001	10.0	3080	0.0145	0.9984

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0