Phi 2 Chat Models
Collection
These models underwent supervised fine-tuning and direct preference optimization for instruction following on top of Microsoft's Phi 2 base LLM
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5 items
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Updated
This model is a fine-tuned version of microsoft/phi-2 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 | Model Preparation Time |
---|---|---|---|---|
1.0842 | 0.0809 | 200 | 1.0744 | 0.0259 |
1.0767 | 0.1617 | 400 | 1.0724 | 0.0259 |
1.0997 | 0.2426 | 600 | 1.0716 | 0.0259 |
1.0758 | 0.3234 | 800 | 1.0707 | 0.0259 |
1.0949 | 0.4043 | 1000 | 1.0697 | 0.0259 |
1.0892 | 0.4851 | 1200 | 1.0687 | 0.0259 |
1.0876 | 0.5660 | 1400 | 1.0682 | 0.0259 |
1.0873 | 0.6469 | 1600 | 1.0676 | 0.0259 |
1.0679 | 0.7277 | 1800 | 1.0671 | 0.0259 |
1.0802 | 0.8086 | 2000 | 1.0669 | 0.0259 |
1.0823 | 0.8894 | 2200 | 1.0667 | 0.0259 |
1.0812 | 0.9703 | 2400 | 1.0663 | 0.0259 |
Base model
microsoft/phi-2