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dbmdzBERTnews – AI Model by GioReg | AlphaNeural AI

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GioReg/
dbmdzBERTnews

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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dbmdzBERTnews

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

Loss: 0.0960
Accuracy: 0.9733
F1: 0.9730

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: 2

Training results

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1