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diseaseBertCDI_final – AI Model by Jaafer | AlphaNeural AI

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Jaafer/
diseaseBertCDI_final

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generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

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diseaseBertCDI_final

This model is a fine-tuned version of bert-base-uncased on an unknown dataset.

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: 5e-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: 60
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1