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Litzy619
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Phi0503HMA26

Safetensors
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Files changed (5) hide show
  1. README.md +34 -34
  2. adapter_config.json +1 -2
  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: 0.0793
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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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- | 4.0777 | 0.09 | 10 | 0.4600 |
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- | 0.2898 | 0.18 | 20 | 0.2397 |
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- | 0.2373 | 0.27 | 30 | 0.2282 |
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- | 0.2193 | 0.36 | 40 | 0.2107 |
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- | 0.2103 | 0.45 | 50 | 0.2865 |
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- | 0.1796 | 0.54 | 60 | 0.1327 |
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- | 1.8078 | 0.63 | 70 | 1.0824 |
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- | 0.2232 | 0.73 | 80 | 0.0985 |
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- | 0.1319 | 0.82 | 90 | 0.1969 |
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- | 0.1317 | 0.91 | 100 | 0.1082 |
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- | 0.0954 | 1.0 | 110 | 0.1045 |
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- | 0.0735 | 1.09 | 120 | 0.0701 |
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- | 0.07 | 1.18 | 130 | 0.0840 |
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- | 0.0742 | 1.27 | 140 | 0.0764 |
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- | 0.0699 | 1.36 | 150 | 0.0727 |
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- | 0.0727 | 1.45 | 160 | 0.0744 |
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- | 0.0642 | 1.54 | 170 | 0.0733 |
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- | 0.0702 | 1.63 | 180 | 0.0726 |
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- | 0.0657 | 1.72 | 190 | 0.0670 |
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- | 0.0605 | 1.81 | 200 | 0.0661 |
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- | 0.0625 | 1.9 | 210 | 0.0747 |
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- | 0.0603 | 1.99 | 220 | 0.0679 |
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- | 0.0318 | 2.08 | 230 | 0.0775 |
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- | 0.0275 | 2.18 | 240 | 0.0901 |
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- | 0.026 | 2.27 | 250 | 0.0907 |
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- | 0.023 | 2.36 | 260 | 0.0831 |
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- | 0.0281 | 2.45 | 270 | 0.0792 |
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- | 0.0197 | 2.54 | 280 | 0.0813 |
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- | 0.0203 | 2.63 | 290 | 0.0850 |
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- | 0.0281 | 2.72 | 300 | 0.0830 |
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- | 0.0277 | 2.81 | 310 | 0.0809 |
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- | 0.0248 | 2.9 | 320 | 0.0798 |
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- | 0.0257 | 2.99 | 330 | 0.0793 |
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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: 0.0635
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 4.4865 | 0.09 | 10 | 0.8844 |
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+ | 0.3885 | 0.18 | 20 | 0.2386 |
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+ | 0.2667 | 0.27 | 30 | 0.2422 |
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+ | 0.2338 | 0.36 | 40 | 0.2291 |
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+ | 0.2321 | 0.45 | 50 | 0.2215 |
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+ | 0.226 | 0.54 | 60 | 0.2156 |
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+ | 0.2283 | 0.63 | 70 | 0.2006 |
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+ | 0.2115 | 0.73 | 80 | 0.2034 |
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+ | 0.1803 | 0.82 | 90 | 0.1707 |
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+ | 0.1687 | 0.91 | 100 | 0.2004 |
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+ | 0.1851 | 1.0 | 110 | 0.1699 |
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+ | 0.1641 | 1.09 | 120 | 0.1648 |
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+ | 0.1642 | 1.18 | 130 | 0.1666 |
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+ | 0.1748 | 1.27 | 140 | 0.1629 |
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+ | 0.1665 | 1.36 | 150 | 0.1627 |
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+ | 0.134 | 1.45 | 160 | 0.1023 |
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+ | 0.1085 | 1.54 | 170 | 0.0887 |
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+ | 0.0876 | 1.63 | 180 | 0.0784 |
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+ | 0.0749 | 1.72 | 190 | 0.0729 |
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+ | 0.0673 | 1.81 | 200 | 0.0721 |
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+ | 0.0687 | 1.9 | 210 | 0.0764 |
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+ | 0.0648 | 1.99 | 220 | 0.0698 |
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+ | 0.0477 | 2.08 | 230 | 0.0734 |
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+ | 0.0522 | 2.18 | 240 | 0.0681 |
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+ | 0.0437 | 2.27 | 250 | 0.0679 |
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+ | 0.0437 | 2.36 | 260 | 0.0661 |
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+ | 0.0497 | 2.45 | 270 | 0.0651 |
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+ | 0.0437 | 2.54 | 280 | 0.0651 |
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+ | 0.0433 | 2.63 | 290 | 0.0651 |
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+ | 0.0464 | 2.72 | 300 | 0.0649 |
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+ | 0.0558 | 2.81 | 310 | 0.0640 |
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+ | 0.0455 | 2.9 | 320 | 0.0635 |
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+ | 0.0469 | 2.99 | 330 | 0.0635 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -41,8 +41,7 @@
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  "simple_hidden_matching": false,
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  "simple_instance_matching": true,
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  "target_modules": [
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- "qkv_proj",
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- "o_proj"
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  ],
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  "task_type": "CAUSAL_LM",
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  "token_dim": 3072
 
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  "simple_hidden_matching": false,
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  "simple_instance_matching": true,
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  "target_modules": [
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+ "qkv_proj"
 
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  ],
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  "task_type": "CAUSAL_LM",
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  "token_dim": 3072
adapter_model.bin CHANGED
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