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37k_base_p1_1epoch – AI Model by Femash | AlphaNeural AI

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Femash/
37k_base_p1_1epoch

like

0

text-classification

generated_from_trainer

indobenchmark/indobert-base-p1

autotrain_compatible

endpoints_compatible

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37k_base_p1_1epoch

This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0635
Accuracy: 0.9847
F1: 0.9846
Precision: 0.9801
Recall: 0.9892

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: 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
lr_scheduler_warmup_steps: 250
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1