omersubasi/fine-tune-vanilla-bert-base-uncased-ch9

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fine-tune-vanilla-bert-base-uncased-ch9

This model is a fine-tuned version of omersubasi/bert-base-uncased-issues-128 on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1664
• —Micro f1: 0.7308
• —Macro f1: 0.6418

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: 3e-05
• —trainbatchsize: 4
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: constant
• —num_epochs: 10

Training results

Framework versions

• —Transformers 4.16.2
• —Pytorch 2.1.0+cu118
• —Datasets 1.16.1
• —Tokenizers 0.15.0