bert-base-uncased-sst2
This model is a fine-tuned version of bert-base-cased on the SST-2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2671
- Accuracy: 0.9289
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
