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
train_batch_size: 16
eval_batch_size: 8
seed: 30
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
