Model save
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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: cosine
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- lr_scheduler_warmup_ratio: 0.2
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- training_steps:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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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: 0.0000
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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: cosine
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- lr_scheduler_warmup_ratio: 0.2
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- training_steps: 800
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.0533 | 0.2222 | 100 | 0.0132 |
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| 0.0 | 0.4444 | 200 | 0.0000 |
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| 0.0 | 0.6667 | 300 | 0.0000 |
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| 0.0 | 0.8889 | 400 | 0.0000 |
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| 0.0 | 1.1111 | 500 | 0.0000 |
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| 0.0 | 1.3333 | 600 | 0.0000 |
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| 0.0 | 1.5556 | 700 | 0.0000 |
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| 0.0 | 1.7778 | 800 | 0.0000 |
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### Framework versions
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