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optuna_tuning_v3_weighted_macro – AI Model by iTroned | AlphaNeural AI

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iTroned/
optuna_tuning_v3_weighted_macro

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generated_from_trainer

google-bert/bert-base-uncased

endpoints_compatible

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optuna_tuning_v3_weighted_macro

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: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20

Framework versions

Transformers 4.50.2
Pytorch 2.6.0+cu124
Datasets 3.0.1
Tokenizers 0.21.1