This model is a fine-tuned version of microsoft/MiniLM-L12-H384-uncased on the GLUE MRPC dataset.
It achieves the following results on the evaluation set:
Loss: 0.4319
Accuracy: 0.875
F1: 0.9097
Combined Score: 0.8924
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: 2e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
