FinaPolat/microsoft-phi-3.5-multidomain-ner-qlora-adapter
Browse files- README.md +2 -2
- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
- training_args.bin +2 -2
README.md
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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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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.3
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- num_epochs:
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### Training results
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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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It achieves the following results on the evaluation set:
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- Loss: 0.3230
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.3
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- num_epochs: 1
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### Training results
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adapter_config.json
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"revision": null,
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"target_modules": [
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"q_proj",
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"
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"v_proj",
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"k_proj",
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"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"revision": null,
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"target_modules": [
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"q_proj",
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"o_proj",
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"k_proj",
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"v_proj",
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"gate_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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training_args.bin
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size 5560
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