model – AI Model by Rosyida | AlphaNeural AI

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Rosyida/
model

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text-classification

generated_from_trainer

indolem/indobertweet-base-uncased

autotrain_compatible

endpoints_compatible

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model

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

Loss: 1.2589
Accuracy: 0.6176
Precision: 0.3778
Recall: 0.5517
F1: 0.3423

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: 0.0001
train_batch_size: 16
eval_batch_size: 16
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.9838	1.0	10	0.7913	0.7059	0.3889	0.5862	0.3828
0.7	2.0	20	0.6536	0.7353	0.3939	0.5977	0.3974
0.3467	3.0	30	0.6053	0.7647	0.4000	0.6092	0.4130
0.1337	4.0	40	1.2589	0.6176	0.3778	0.5517	0.3423

Framework versions

Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1