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Model save

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  1. README.md +10 -3
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.0011
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  ## Model description
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@@ -45,13 +45,20 @@ The following hyperparameters were used during training:
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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: 100
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 0.0007 | 0.2222 | 100 | 0.0011 |
 
 
 
 
 
 
 
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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