segestic/phi3.5-mini-4k-qlora-medical-seg-v5
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- adapter_model.safetensors +1 -1
- training_args.bin +3 -0
README.md
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model-index:
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- name: phi3-mini-4k-qlora-medical-seg-v4
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# phi3-mini-4k-qlora-medical-seg-v4
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This model is a fine-tuned version of [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) on an unknown dataset.
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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- sft
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- generated_from_trainer
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model-index:
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- name: phi3.5-mini-4k-qlora-medical-seg-v4
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# phi3.5-mini-4k-qlora-medical-seg-v4
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This model is a fine-tuned version of [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) on an unknown dataset.
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.00025
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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adapter_model.safetensors
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size 71320216
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 5560
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