Blaine-Mason/hackMIT-finetuned-sst2

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hackMIT-finetuned-sst2

This model is a fine-tuned version of Blaine-Mason/hackMIT-finetuned-sst2 on the glue dataset. It achieves the following results on the evaluation set:

• —Loss: 1.1086
• —Accuracy: 0.8028

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: 2.033238621168611e-06
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 30
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.9.2
• —Pytorch 1.9.0+cu102
• —Datasets 1.11.0
• —Tokenizers 0.10.3