adasgaleus/insertbert05

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insertbert05

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

• —Loss: 0.1928
• —Precision: 0.8055
• —Recall: 0.7865
• —F1: 0.7959
• —Accuracy: 0.9189

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: 64
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.25.1
• —Pytorch 1.13.1+cu116
• —Datasets 2.8.0
• —Tokenizers 0.13.2