product_classifier_url_name2 – AI Model by sianbru | AlphaNeural AI

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sianbru/
product_classifier_url_name2

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text-classification

generated_from_trainer

google-bert/bert-base-multilingual-uncased

autotrain_compatible

endpoints_compatible

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product_classifier_url_name2

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

Loss: 0.2686
Accuracy: 0.9383
F1: 0.9380
Precision: 0.9380
Recall: 0.9383

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.8154	1.0	960	0.3342	0.8979	0.8979	0.8989	0.8979
0.2711	2.0	1920	0.2602	0.9279	0.9277	0.9278	0.9279
0.1624	3.0	2880	0.2528	0.9354	0.9351	0.9356	0.9354
0.109	4.0	3840	0.2686	0.9383	0.9380	0.9380	0.9383

Framework versions

Transformers 4.32.0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3