BantuBERTa-vmw-finetuned-vmw-MICRO – AI Model by sercetexam9 | AlphaNeural AI

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BantuBERTa-vmw-finetuned-vmw-MICRO

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text-classification

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Kuongan/BantuBERTa-vmw-finetuned

autotrain_compatible

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BantuBERTa-vmw-finetuned-vmw-MICRO

This model is a fine-tuned version of Kuongan/BantuBERTa-vmw-finetuned on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1136
F1: 0.7477
Roc Auc: 0.8125
Accuracy: 0.8066

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: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.1384	1.0	146	0.1136	0.7477	0.8125	0.8066
0.1126	2.0	292	0.1165	0.7467	0.8308	0.7969
0.0935	3.0	438	0.1130	0.7442	0.8389	0.7969
0.0745	4.0	584	0.1202	0.7394	0.8501	0.7834
0.06	5.0	730	0.1250	0.7210	0.8379	0.7660

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0