transfer_learning_phi_2
Collection
36 items
•
Updated
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Micro | Auc |
---|---|---|---|---|---|---|
0.2991 | 1.0 | 380 | 0.2849 | 0.8766 | 0.8766 | 0.9532 |
0.2085 | 2.0 | 760 | 0.2763 | 0.8882 | 0.8882 | 0.9581 |
0.1015 | 3.0 | 1140 | 0.3328 | 0.8988 | 0.8988 | 0.9591 |
Base model
microsoft/phi-2