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README.md
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# outputdir
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This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2794
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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 3.0506 | 0.0771 | 100 | 2.8512 |
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| 2.4484 | 0.1542 | 200 | 1.7779 |
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| 1.5032 | 0.2313 | 300 | 1.3608 |
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| 1.3472 | 0.3085 | 400 | 1.3325 |
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| 1.3304 | 0.3856 | 500 | 1.3195 |
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| 1.3156 | 0.4627 | 600 | 1.3103 |
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| 1.313 | 0.5398 | 700 | 1.3038 |
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| 1.2976 | 0.6169 | 800 | 1.2991 |
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| 1.3001 | 0.6940 | 900 | 1.2956 |
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| 1.2976 | 0.7712 | 1000 | 1.2927 |
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| 1.2902 | 0.8483 | 1100 | 1.2907 |
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| 1.2831 | 0.9254 | 1200 | 1.2888 |
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| 1.2839 | 1.0025 | 1300 | 1.2874 |
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| 1.2792 | 1.0796 | 1400 | 1.2860 |
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| 1.295 | 1.1567 | 1500 | 1.2845 |
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| 1.287 | 1.2339 | 1600 | 1.2838 |
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| 1.2831 | 1.3110 | 1700 | 1.2831 |
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| 1.2764 | 1.3881 | 1800 | 1.2821 |
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| 1.2836 | 1.4652 | 1900 | 1.2815 |
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| 1.2844 | 1.5423 | 2000 | 1.2810 |
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| 1.2791 | 1.6194 | 2100 | 1.2804 |
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| 1.2869 | 1.6965 | 2200 | 1.2799 |
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| 1.2814 | 1.7737 | 2300 | 1.2798 |
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| 1.2775 | 1.8508 | 2400 | 1.2796 |
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| 1.2837 | 1.9279 | 2500 | 1.2794 |
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### Framework versions
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- PEFT 0.12.0
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# outputdir
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This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
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## Model description
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 2
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### Framework versions
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- PEFT 0.12.0
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runs/Aug20_09-10-28_6b286baf168a/events.out.tfevents.1724166319.6b286baf168a.520.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:39cba805707676b1b4af6720a3ed95a845b975608532eca75442157471c03ed3
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size 4184
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