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Litzy619
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Phi0503HMA19

Safetensors
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End of training

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Files changed (5) hide show
  1. README.md +34 -34
  2. adapter_config.json +1 -1
  3. adapter_model.bin +2 -2
  4. model.safetensors +2 -2
  5. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ 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-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0782
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  ## Model description
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@@ -50,39 +50,39 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 3.8941 | 0.09 | 10 | 0.5252 |
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- | 0.304 | 0.18 | 20 | 0.2303 |
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- | 0.286 | 0.27 | 30 | 0.2215 |
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- | 0.2077 | 0.36 | 40 | 0.1718 |
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- | 0.153 | 0.45 | 50 | 0.1491 |
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- | 0.1408 | 0.54 | 60 | 0.1229 |
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- | 0.1063 | 0.63 | 70 | 0.1014 |
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- | 0.1079 | 0.73 | 80 | 0.0884 |
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- | 0.0837 | 0.82 | 90 | 0.0777 |
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- | 0.081 | 0.91 | 100 | 0.0710 |
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- | 0.0749 | 1.0 | 110 | 0.0747 |
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- | 0.0557 | 1.09 | 120 | 0.0717 |
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- | 0.0566 | 1.18 | 130 | 0.0735 |
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- | 0.0588 | 1.27 | 140 | 0.0713 |
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- | 0.0535 | 1.36 | 150 | 0.0778 |
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- | 0.0672 | 1.45 | 160 | 0.0677 |
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- | 0.0548 | 1.54 | 170 | 0.0702 |
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- | 0.0536 | 1.63 | 180 | 0.0633 |
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- | 0.0474 | 1.72 | 190 | 0.0653 |
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- | 0.0537 | 1.81 | 200 | 0.0633 |
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- | 0.0438 | 1.9 | 210 | 0.0669 |
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- | 0.0483 | 1.99 | 220 | 0.0669 |
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- | 0.0233 | 2.08 | 230 | 0.0749 |
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- | 0.0245 | 2.18 | 240 | 0.0840 |
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- | 0.017 | 2.27 | 250 | 0.0868 |
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- | 0.0166 | 2.36 | 260 | 0.0866 |
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- | 0.0258 | 2.45 | 270 | 0.0823 |
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- | 0.015 | 2.54 | 280 | 0.0805 |
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- | 0.018 | 2.63 | 290 | 0.0811 |
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- | 0.0227 | 2.72 | 300 | 0.0795 |
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- | 0.0217 | 2.81 | 310 | 0.0788 |
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- | 0.0196 | 2.9 | 320 | 0.0784 |
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- | 0.0198 | 2.99 | 330 | 0.0782 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0771
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 4.0653 | 0.09 | 10 | 0.4649 |
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+ | 0.2835 | 0.18 | 20 | 0.2213 |
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+ | 0.2868 | 0.27 | 30 | 0.2329 |
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+ | 0.2284 | 0.36 | 40 | 0.2334 |
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+ | 0.2317 | 0.45 | 50 | 0.2268 |
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+ | 0.219 | 0.54 | 60 | 0.2073 |
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+ | 0.211 | 0.63 | 70 | 0.1848 |
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+ | 0.1692 | 0.73 | 80 | 0.1167 |
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+ | 0.1311 | 0.82 | 90 | 0.1255 |
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+ | 0.1138 | 0.91 | 100 | 0.0954 |
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+ | 0.0918 | 1.0 | 110 | 0.0852 |
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+ | 0.0756 | 1.09 | 120 | 0.1067 |
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+ | 0.0746 | 1.18 | 130 | 0.0875 |
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+ | 0.0826 | 1.27 | 140 | 0.0751 |
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+ | 0.0723 | 1.36 | 150 | 0.0737 |
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+ | 0.0739 | 1.45 | 160 | 0.0685 |
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+ | 0.0674 | 1.54 | 170 | 0.0687 |
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+ | 0.0667 | 1.63 | 180 | 0.0673 |
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+ | 0.0599 | 1.72 | 190 | 0.0692 |
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+ | 0.0675 | 1.81 | 200 | 0.0677 |
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+ | 0.0565 | 1.9 | 210 | 0.0731 |
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+ | 0.0551 | 1.99 | 220 | 0.0714 |
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+ | 0.0316 | 2.08 | 230 | 0.0762 |
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+ | 0.0331 | 2.18 | 240 | 0.0865 |
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+ | 0.0233 | 2.27 | 250 | 0.0880 |
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+ | 0.0205 | 2.36 | 260 | 0.0863 |
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+ | 0.0316 | 2.45 | 270 | 0.0802 |
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+ | 0.0201 | 2.54 | 280 | 0.0790 |
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+ | 0.0221 | 2.63 | 290 | 0.0803 |
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+ | 0.0303 | 2.72 | 300 | 0.0800 |
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+ | 0.0302 | 2.81 | 310 | 0.0781 |
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+ | 0.027 | 2.9 | 320 | 0.0772 |
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+ | 0.0268 | 2.99 | 330 | 0.0771 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -2,7 +2,7 @@
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  "adaptive_ratio": 0.01,
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  "adaptive_ratio_decay": 1.0,
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  "additive_modeling": false,
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- "allow_empty_lora": true,
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  "auto_mapping": null,
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  "base_model_name_or_path": "microsoft/Phi-3-mini-4k-instruct",
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  "bias": "none",
 
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  "adaptive_ratio": 0.01,
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  "adaptive_ratio_decay": 1.0,
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  "additive_modeling": false,
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+ "allow_empty_lora": false,
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  "auto_mapping": null,
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  "base_model_name_or_path": "microsoft/Phi-3-mini-4k-instruct",
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  "bias": "none",
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