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:
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The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Micro | Auc |
---|---|---|---|---|---|---|
0.6088 | 1.0 | 38 | 0.6767 | 0.6719 | 0.6719 | 0.7535 |
0.4116 | 2.0 | 76 | 0.4517 | 0.7936 | 0.7936 | 0.8776 |
0.2824 | 3.0 | 114 | 0.5192 | 0.8100 | 0.8100 | 0.8880 |
0.0387 | 4.0 | 152 | 0.6496 | 0.8240 | 0.8240 | 0.8994 |
0.0353 | 5.0 | 190 | 0.7799 | 0.8248 | 0.8248 | 0.9007 |
0.0049 | 6.0 | 228 | 0.7434 | 0.8174 | 0.8174 | 0.9096 |
0.0036 | 7.0 | 266 | 0.7759 | 0.8339 | 0.8339 | 0.9076 |
Base model
microsoft/phi-2