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- adapter_config.json +5 -5
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- training_args.bin +1 -1
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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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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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: 0.5221
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.8799 | 0.2256 | 50 | 0.8806 |
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| 0.6125 | 0.4512 | 100 | 0.6177 |
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| 0.5659 | 0.6768 | 150 | 0.5733 |
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| 0.6125 | 0.9024 | 200 | 0.5550 |
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| 0.5402 | 1.1280 | 250 | 0.5448 |
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| 0.5299 | 1.3536 | 300 | 0.5378 |
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| 0.4997 | 1.5792 | 350 | 0.5331 |
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| 0.549 | 1.8049 | 400 | 0.5296 |
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| 0.5361 | 2.0305 | 450 | 0.5268 |
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| 0.4821 | 2.2561 | 500 | 0.5249 |
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| 0.5274 | 2.4817 | 550 | 0.5234 |
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| 0.5344 | 2.7073 | 600 | 0.5227 |
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| 0.546 | 2.9329 | 650 | 0.5221 |
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### Framework versions
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"up_proj",
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"k_proj",
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"o_proj",
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj",
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"o_proj",
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"down_proj",
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"k_proj",
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"up_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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size 35668592
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training_args.bin
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