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calculator_model_test

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  1. README.md +41 -41
  2. model.safetensors +1 -1
  3. runs/Mar04_14-22-15_7eccf1ba7969/events.out.tfevents.1709562136.7eccf1ba7969.331.3 +2 -2
README.md CHANGED
@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0045
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  ## Model description
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@@ -44,46 +44,46 @@ 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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- | 2.7184 | 1.0 | 6 | 2.0589 |
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- | 1.7718 | 2.0 | 12 | 1.3610 |
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- | 1.1599 | 3.0 | 18 | 0.9216 |
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- | 0.8588 | 4.0 | 24 | 0.8028 |
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- | 0.7576 | 5.0 | 30 | 0.6973 |
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- | 0.6641 | 6.0 | 36 | 0.6219 |
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- | 0.5964 | 7.0 | 42 | 0.5578 |
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- | 0.5248 | 8.0 | 48 | 0.4840 |
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- | 0.4463 | 9.0 | 54 | 0.4088 |
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- | 0.3832 | 10.0 | 60 | 0.3579 |
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- | 0.3398 | 11.0 | 66 | 0.2951 |
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- | 0.2834 | 12.0 | 72 | 0.2701 |
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- | 0.2533 | 13.0 | 78 | 0.2033 |
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- | 0.2001 | 14.0 | 84 | 0.1558 |
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- | 0.1609 | 15.0 | 90 | 0.1252 |
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- | 0.1303 | 16.0 | 96 | 0.0917 |
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- | 0.1075 | 17.0 | 102 | 0.0676 |
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- | 0.0833 | 18.0 | 108 | 0.0490 |
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- | 0.0646 | 19.0 | 114 | 0.0408 |
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- | 0.0584 | 20.0 | 120 | 0.0320 |
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- | 0.0458 | 21.0 | 126 | 0.0233 |
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- | 0.0369 | 22.0 | 132 | 0.0167 |
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- | 0.0269 | 23.0 | 138 | 0.0137 |
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- | 0.0224 | 24.0 | 144 | 0.0119 |
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- | 0.0206 | 25.0 | 150 | 0.0097 |
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- | 0.0175 | 26.0 | 156 | 0.0094 |
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- | 0.0159 | 27.0 | 162 | 0.0073 |
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- | 0.0132 | 28.0 | 168 | 0.0069 |
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- | 0.0123 | 29.0 | 174 | 0.0064 |
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- | 0.0112 | 30.0 | 180 | 0.0058 |
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- | 0.0101 | 31.0 | 186 | 0.0056 |
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- | 0.0105 | 32.0 | 192 | 0.0053 |
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- | 0.0091 | 33.0 | 198 | 0.0050 |
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- | 0.01 | 34.0 | 204 | 0.0047 |
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- | 0.0093 | 35.0 | 210 | 0.0056 |
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- | 0.0102 | 36.0 | 216 | 0.0047 |
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- | 0.0092 | 37.0 | 222 | 0.0046 |
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- | 0.0086 | 38.0 | 228 | 0.0046 |
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- | 0.0091 | 39.0 | 234 | 0.0045 |
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- | 0.0088 | 40.0 | 240 | 0.0045 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0006
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.0728 | 1.0 | 14 | 1.5941 |
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+ | 1.5109 | 2.0 | 28 | 1.4744 |
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+ | 1.2519 | 3.0 | 42 | 1.0142 |
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+ | 0.6933 | 4.0 | 56 | 0.2250 |
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+ | 0.1939 | 5.0 | 70 | 0.1615 |
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+ | 0.1459 | 6.0 | 84 | 0.1262 |
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+ | 0.1194 | 7.0 | 98 | 0.1032 |
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+ | 0.0987 | 8.0 | 112 | 0.0834 |
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+ | 0.0807 | 9.0 | 126 | 0.0676 |
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+ | 0.0658 | 10.0 | 140 | 0.0502 |
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+ | 0.0504 | 11.0 | 154 | 0.0346 |
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+ | 0.0356 | 12.0 | 168 | 0.0222 |
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+ | 0.0247 | 13.0 | 182 | 0.0146 |
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+ | 0.0173 | 14.0 | 196 | 0.0096 |
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+ | 0.0121 | 15.0 | 210 | 0.0065 |
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+ | 0.0089 | 16.0 | 224 | 0.0044 |
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+ | 0.0067 | 17.0 | 238 | 0.0035 |
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+ | 0.0055 | 18.0 | 252 | 0.0026 |
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+ | 0.0044 | 19.0 | 266 | 0.0021 |
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+ | 0.0037 | 20.0 | 280 | 0.0017 |
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+ | 0.0031 | 21.0 | 294 | 0.0015 |
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+ | 0.0026 | 22.0 | 308 | 0.0013 |
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+ | 0.0024 | 23.0 | 322 | 0.0012 |
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+ | 0.0021 | 24.0 | 336 | 0.0011 |
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+ | 0.002 | 25.0 | 350 | 0.0010 |
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+ | 0.0018 | 26.0 | 364 | 0.0009 |
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+ | 0.0017 | 27.0 | 378 | 0.0009 |
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+ | 0.0016 | 28.0 | 392 | 0.0008 |
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+ | 0.0015 | 29.0 | 406 | 0.0008 |
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+ | 0.0014 | 30.0 | 420 | 0.0008 |
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+ | 0.0013 | 31.0 | 434 | 0.0007 |
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+ | 0.0013 | 32.0 | 448 | 0.0007 |
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+ | 0.0013 | 33.0 | 462 | 0.0007 |
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+ | 0.0013 | 34.0 | 476 | 0.0007 |
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+ | 0.0012 | 35.0 | 490 | 0.0007 |
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+ | 0.0012 | 36.0 | 504 | 0.0007 |
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+ | 0.0012 | 37.0 | 518 | 0.0006 |
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+ | 0.0012 | 38.0 | 532 | 0.0006 |
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+ | 0.0011 | 39.0 | 546 | 0.0006 |
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+ | 0.0011 | 40.0 | 560 | 0.0006 |
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  ### Framework versions
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