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@@ -57,6 +57,16 @@ The following hyperparameters were used during training:
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  |:-------------:|:------:|:----:|:---------------:|
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  | 1.2093 | 2.8429 | 500 | 1.7462 |
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  ### Framework versions
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  |:-------------:|:------:|:----:|:---------------:|
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  | 1.2093 | 2.8429 | 500 | 1.7462 |
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+ ### Evaluation results
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+ | Name | Checkpoint | Rouge1 | RougeL | Meteor | Bert Score |
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+ |-------------------------|------------------------------------------------------------------------------------------------------------------|---------|--------|--------|------------|
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+ | baseline instruct model | [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) | 0.254 | 0.128 | 0.222 | 0.747 |
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+ | full fientune from inst | [sft_llama3_instruct_full](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) | 0.315 | 0.189 | 0.238 | 0.782 |
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+ | lora sft from inst | [sft_llama3_instruct_lora_all](https://huggingface.co/geshijoker/HealthCareMagic_sft_llama3_instruct_lora_all) | 0.271 | 0.143 | 0.194 | 0.774 |
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+ | lora sft from base | [sft_llama3_lora_all](geshijoker/HealthCareMagic_sft_llama3_lora_all) | 0.239 | 0.113 | 0.211 | 0.735 |
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+ | qlora sft from inst | [sft_llama3_instruct_qlora_all](https://huggingface.co/geshijoker/HealthCareMagic_sft_llama3_instruct_qlora_all) | 0.137 | 0.071 | 0.102 | 0.679 |
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+ | qlora sft from base | [sft_llama3_qlora_all ](https://huggingface.co/geshijoker/HealthCareMagic_sft_llama3_qlora_all) | 0.192 | 0.090 | 0.159 | 0.718 |
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  ### Framework versions
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