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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # dolphin-2_6-phi-2-sft-glaive-function-calling-v2-ep1-lora
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- This model is a fine-tuned version of [cognitivecomputations/dolphin-2_6-phi-2](https://huggingface.co/cognitivecomputations/dolphin-2_6-phi-2) on the simple-function-calling-v2_convert dataset that I converted for llama_factory https://huggingface.co/datasets/Yhyu13/glaive-function-calling-v2-llama-factory-convert.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3524
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  # dolphin-2_6-phi-2-sft-glaive-function-calling-v2-ep1-lora
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+ This model is a fine-tuned version of [cognitivecomputations/dolphin-2_6-phi-2](https://huggingface.co/cognitivecomputations/dolphin-2_6-phi-2) on the simple-function-calling-v2_convert dataset that I converted for llama_factory https://huggingface.co/datasets/Yhyu13/glaive-function-calling-v2-llama-factory-convert, but with a subset of only the first 1000 data entries.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3524
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