annabellehuether/topic-bert-base-uncased-supreme-court-32batch_3epoch_5e5lr_01wd

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topic-bert-base-uncased-supreme-court-32batch3epoch5e5lr_01wd

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

• —Loss: 0.8509
• —Accuracy: 0.7458

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: 5e-05
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 7
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.35.1
• —Pytorch 2.1.0+cu121
• —Datasets 2.14.6
• —Tokenizers 0.14.1