This model is a fine-tuned version of cross-encoder/ms-marco-TinyBERT-L-2-v2 on an unknown dataset.
It achieves the following results on the evaluation set:
Loss: 0.8673
Accuracy: 0.7786
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: 64
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
