karim752222/Sep10-MLOps

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Sep10-MLOps

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

• —eval_loss: 0.7007
• —evalmodelpreparation_time: 0.0
• —eval_accuracy: 0.4967
• —eval_f1: 0.6637
• —eval_runtime: 10.4703
• —evalsamplesper_second: 28.652
• —evalstepsper_second: 1.815
• —epoch: 0
• —step: 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: 2e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 2

Framework versions

• —Transformers 5.16.1
• —Pytorch 2.11.0+cu128
• —Datasets 4.0.0
• —Tokenizers 0.23.1