ethan789/repo-MLOps

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repo-MLOps

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

• —eval_loss: 0.6989
• —evalmodelpreparation_time: 0.0012
• —eval_accuracy: 0.4933
• —eval_f1: 0.6607
• —eval_runtime: 30.2716
• —evalsamplesper_second: 9.91
• —evalstepsper_second: 0.628
• —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 4.56.0
• —Pytorch 2.8.0+cu128
• —Datasets 4.0.0
• —Tokenizers 0.22.0