baseline_s1 – AI Model by evelnap | AlphaNeural AI

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evelnap/
baseline_s1

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text-classification

generated_from_trainer

indolem/indobertweet-base-uncased

endpoints_compatible

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baseline_s1

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: 0.4306
Accuracy: 0.9141
F1: 0.3870
Recall: 0.2979
Precision: 0.5521
Roc Auc: 0.6369

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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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	F1	Recall	Precision	Roc Auc
0.7387	1.0	1319	0.4296	0.9143	0.3859	0.2958	0.5547	0.6360
0.0890	2.0	2638	0.5007	0.8910	0.4978	0.5938	0.4286	0.7573
0.1856	3.0	3957	0.5845	0.9045	0.4312	0.3979	0.4704	0.6765
0.4235	4.0	5276	0.6608	0.9103	0.4153	0.35	0.5106	0.6582
0.2436	5.0	6595	0.7503	0.9037	0.4466	0.4271	0.4680	0.6892

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2