bert-classifier-varejo – AI Model by Orlandovpjunior | AlphaNeural AI

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Orlandovpjunior/
bert-classifier-varejo

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

text-embeddings-inference

endpoints_compatible

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bert-classifier-varejo

This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0176
Accuracy: 1.0
Auc: 1.0

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: 0.0002
train_batch_size: 8
eval_batch_size: 8
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	Accuracy	Auc
0.5064	1.0	63	0.3275	0.85	0.932
0.3423	2.0	126	0.1727	0.97	1.0
0.2362	3.0	189	0.1047	1.0	1.0
0.1599	4.0	252	0.0629	1.0	1.0
0.1447	5.0	315	0.0779	0.94	1.0
0.1177	6.0	378	0.0300	1.0	1.0
0.0864	7.0	441	0.0295	1.0	1.0
0.0823	8.0	504	0.0250	1.0	1.0
0.0909	9.0	567	0.0176	1.0	1.0
0.0663	10.0	630	0.0245	1.0	1.0

Framework versions

Transformers 4.44.2
Pytorch 2.7.1+cu118
Datasets 2.15.0
Tokenizers 0.19.1