question_tax_indo – AI Model by chandra10 | AlphaNeural AI

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chandra10/
question_tax_indo

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question-answering

generated_from_trainer

google-bert/bert-base-uncased

endpoints_compatible

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question_tax_indo

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

Loss: 0.0121
F1: 0.9966

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	F1
No log	1.0	78	0.3959	0.9280
1.4775	2.0	156	0.2570	0.9836
0.3383	3.0	234	0.2211	0.9721
0.2629	4.0	312	0.1342	0.9902
0.2629	5.0	390	0.1120	0.9888
0.1931	6.0	468	0.0608	0.9935
0.1247	7.0	546	0.0326	0.9935
0.0905	8.0	624	0.0176	0.9954
0.0583	9.0	702	0.0156	0.9966
0.0583	10.0	780	0.0121	0.9966

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1