KarelDO/lstm.CEBaB_confounding.observational.sa.5-class.seed_43

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lstm.CEBaBconfounding.observational.sa.5-class.seed43

This model is a fine-tuned version of lstm on the OpenTable OPENTABLE dataset. It achieves the following results on the evaluation set:

• —Loss: 1.0779
• —Accuracy: 0.5941
• —Macro-f1: 0.5592
• —Weighted-macro-f1: 0.5765

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: 0.001
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 43
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5.0

Training results

Framework versions

• —Transformers 4.18.0
• —Pytorch 1.10.2+cu102
• —Datasets 2.5.2
• —Tokenizers 0.12.1