Phi 1.5 Chat Models
Collection
These models underwent supervised fine-tuning and direct preference optimization for instruction following on top of Microsoft's Phi 1.5 base LLM
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3 items
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Updated
This model is a fine-tuned version of microsoft/phi-1_5 on the generator 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 |
---|---|---|---|
1.7865 | 0.0831 | 275 | 1.4033 |
1.3614 | 0.1663 | 550 | 1.3218 |
1.2986 | 0.2494 | 825 | 1.2788 |
1.2667 | 0.3325 | 1100 | 1.2531 |
1.2405 | 0.4157 | 1375 | 1.2376 |
1.2239 | 0.4988 | 1650 | 1.2237 |
1.2078 | 0.5819 | 1925 | 1.2122 |
1.2114 | 0.6651 | 2200 | 1.2005 |
1.2028 | 0.7482 | 2475 | 1.1915 |
1.173 | 0.8313 | 2750 | 1.1833 |
1.1782 | 0.9144 | 3025 | 1.1776 |
1.1805 | 0.9976 | 3300 | 1.1720 |
1.0112 | 1.0807 | 3575 | 1.1817 |
0.9988 | 1.1638 | 3850 | 1.1791 |
0.9919 | 1.2470 | 4125 | 1.1786 |
0.9886 | 1.3301 | 4400 | 1.1768 |
0.9904 | 1.4132 | 4675 | 1.1763 |
1.001 | 1.4964 | 4950 | 1.1756 |
0.9979 | 1.5795 | 5225 | 1.1751 |
0.9858 | 1.6626 | 5500 | 1.1750 |
0.9975 | 1.7458 | 5775 | 1.1750 |
0.9924 | 1.8289 | 6050 | 1.1750 |
0.9978 | 1.9120 | 6325 | 1.1750 |
0.9892 | 1.9952 | 6600 | 1.1750 |