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Litzy619
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Phi0503HMA4

Safetensors
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End of training

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  1. README.md +34 -34
  2. adapter_model.bin +1 -1
  3. model.safetensors +1 -1
  4. 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: 0.0958
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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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- | 4.3203 | 0.09 | 10 | 0.8287 |
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- | 0.439 | 0.18 | 20 | 0.2584 |
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- | 0.2853 | 0.27 | 30 | 0.2324 |
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- | 0.3519 | 0.36 | 40 | 0.2819 |
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- | 0.2642 | 0.45 | 50 | 1.2134 |
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- | 3.7539 | 0.54 | 60 | 4.0368 |
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- | 2.718 | 0.63 | 70 | 1.9987 |
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- | 1.3059 | 0.73 | 80 | 0.5453 |
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- | 0.534 | 0.82 | 90 | 0.4644 |
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- | 0.3535 | 0.91 | 100 | 0.2428 |
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- | 0.2618 | 1.0 | 110 | 0.2259 |
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- | 0.2222 | 1.09 | 120 | 0.2072 |
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- | 0.1939 | 1.18 | 130 | 0.1850 |
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- | 0.2268 | 1.27 | 140 | 0.1876 |
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- | 0.1966 | 1.36 | 150 | 0.1927 |
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- | 0.1942 | 1.45 | 160 | 0.1838 |
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- | 0.1937 | 1.54 | 170 | 0.1900 |
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- | 0.1808 | 1.63 | 180 | 0.1781 |
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- | 0.1785 | 1.72 | 190 | 0.1795 |
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- | 0.1737 | 1.81 | 200 | 0.1694 |
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- | 0.176 | 1.9 | 210 | 0.1708 |
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- | 0.1648 | 1.99 | 220 | 0.1751 |
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- | 0.1702 | 2.08 | 230 | 0.1576 |
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- | 0.1576 | 2.18 | 240 | 0.1524 |
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- | 0.1477 | 2.27 | 250 | 0.1389 |
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- | 0.1333 | 2.36 | 260 | 0.1172 |
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- | 0.1267 | 2.45 | 270 | 0.1126 |
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- | 0.1128 | 2.54 | 280 | 0.1016 |
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- | 0.1112 | 2.63 | 290 | 0.0995 |
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- | 0.1032 | 2.72 | 300 | 0.0976 |
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- | 0.1001 | 2.81 | 310 | 0.0971 |
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- | 0.0996 | 2.9 | 320 | 0.0957 |
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- | 0.0968 | 2.99 | 330 | 0.0958 |
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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: 0.0153
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 4.327 | 0.09 | 10 | 0.8261 |
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+ | 0.4359 | 0.18 | 20 | 0.2664 |
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+ | 0.2914 | 0.27 | 30 | 0.2506 |
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+ | 0.2542 | 0.36 | 40 | 0.2504 |
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+ | 0.2976 | 0.45 | 50 | 0.3288 |
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+ | 0.3986 | 0.54 | 60 | 0.2542 |
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+ | 2.3932 | 0.63 | 70 | 0.2711 |
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+ | 1.9638 | 0.73 | 80 | 4.8527 |
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+ | 3.6131 | 0.82 | 90 | 1.5739 |
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+ | 1.1269 | 0.91 | 100 | 0.7721 |
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+ | 0.4633 | 1.0 | 110 | 0.3521 |
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+ | 0.2947 | 1.09 | 120 | 0.2266 |
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+ | 0.2156 | 1.18 | 130 | 0.1790 |
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+ | 0.2026 | 1.27 | 140 | 0.1381 |
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+ | 0.1618 | 1.36 | 150 | 0.2401 |
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+ | 0.1723 | 1.45 | 160 | 0.1317 |
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+ | 0.1256 | 1.54 | 170 | 0.0996 |
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+ | 0.1171 | 1.63 | 180 | 0.0833 |
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+ | 0.0767 | 1.72 | 190 | 0.0579 |
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+ | 0.0578 | 1.81 | 200 | 0.0514 |
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+ | 0.0497 | 1.9 | 210 | 0.0414 |
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+ | 0.0456 | 1.99 | 220 | 0.0376 |
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+ | 0.042 | 2.08 | 230 | 0.0374 |
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+ | 0.0435 | 2.18 | 240 | 0.0295 |
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+ | 0.0429 | 2.27 | 250 | 0.0304 |
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+ | 0.0396 | 2.36 | 260 | 0.0243 |
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+ | 0.0305 | 2.45 | 270 | 0.0214 |
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+ | 0.0277 | 2.54 | 280 | 0.0191 |
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+ | 0.0205 | 2.63 | 290 | 0.0186 |
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+ | 0.0228 | 2.72 | 300 | 0.0165 |
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+ | 0.0202 | 2.81 | 310 | 0.0157 |
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+ | 0.0236 | 2.9 | 320 | 0.0155 |
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+ | 0.0196 | 2.99 | 330 | 0.0153 |
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  ### Framework versions
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