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PawelNarcos
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calculator_model_test

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End of training

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  1. README.md +41 -41
  2. model.safetensors +1 -1
  3. runs/Mar04_14-32-11_7eccf1ba7969/events.out.tfevents.1709562732.7eccf1ba7969.331.5 +3 -0
  4. tokenizer.json +18 -18
  5. training_args.bin +1 -1
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: 0.0005
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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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- | 2.1076 | 1.0 | 14 | 1.5802 |
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- | 1.2151 | 2.0 | 28 | 0.6870 |
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- | 0.4194 | 3.0 | 42 | 0.3199 |
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- | 0.2906 | 4.0 | 56 | 0.2531 |
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- | 0.2292 | 5.0 | 70 | 0.1898 |
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- | 0.1716 | 6.0 | 84 | 0.1377 |
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- | 0.1194 | 7.0 | 98 | 0.0855 |
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- | 0.0728 | 8.0 | 112 | 0.0450 |
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- | 0.0414 | 9.0 | 126 | 0.0226 |
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- | 0.023 | 10.0 | 140 | 0.0112 |
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- | 0.0134 | 11.0 | 154 | 0.0065 |
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- | 0.009 | 12.0 | 168 | 0.0045 |
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- | 0.0064 | 13.0 | 182 | 0.0030 |
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- | 0.0046 | 14.0 | 196 | 0.0023 |
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- | 0.0036 | 15.0 | 210 | 0.0019 |
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- | 0.0031 | 16.0 | 224 | 0.0017 |
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- | 0.0029 | 17.0 | 238 | 0.0015 |
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- | 0.0024 | 18.0 | 252 | 0.0013 |
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- | 0.0022 | 19.0 | 266 | 0.0012 |
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- | 0.0019 | 20.0 | 280 | 0.0011 |
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- | 0.0019 | 21.0 | 294 | 0.0010 |
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- | 0.0017 | 22.0 | 308 | 0.0009 |
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- | 0.0016 | 23.0 | 322 | 0.0009 |
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- | 0.0015 | 24.0 | 336 | 0.0008 |
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- | 0.0014 | 25.0 | 350 | 0.0008 |
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- | 0.0013 | 26.0 | 364 | 0.0007 |
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- | 0.0012 | 27.0 | 378 | 0.0007 |
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- | 0.0012 | 28.0 | 392 | 0.0007 |
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- | 0.0011 | 29.0 | 406 | 0.0007 |
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- | 0.0011 | 30.0 | 420 | 0.0006 |
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- | 0.001 | 31.0 | 434 | 0.0006 |
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- | 0.001 | 32.0 | 448 | 0.0006 |
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- | 0.001 | 33.0 | 462 | 0.0006 |
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- | 0.001 | 34.0 | 476 | 0.0006 |
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- | 0.0009 | 35.0 | 490 | 0.0006 |
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- | 0.0009 | 36.0 | 504 | 0.0006 |
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- | 0.0009 | 37.0 | 518 | 0.0006 |
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- | 0.0009 | 38.0 | 532 | 0.0005 |
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- | 0.0009 | 39.0 | 546 | 0.0005 |
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- | 0.0009 | 40.0 | 560 | 0.0005 |
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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: 0.0011
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.3492 | 1.0 | 11 | 1.8446 |
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+ | 1.6854 | 2.0 | 22 | 1.3965 |
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+ | 1.1935 | 3.0 | 33 | 0.8348 |
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+ | 0.5028 | 4.0 | 44 | 0.3122 |
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+ | 0.2788 | 5.0 | 55 | 0.2400 |
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+ | 0.2212 | 6.0 | 66 | 0.1893 |
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+ | 0.1813 | 7.0 | 77 | 0.1544 |
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+ | 0.1515 | 8.0 | 88 | 0.1281 |
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+ | 0.1206 | 9.0 | 99 | 0.0903 |
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+ | 0.087 | 10.0 | 110 | 0.0571 |
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+ | 0.058 | 11.0 | 121 | 0.0359 |
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+ | 0.0378 | 12.0 | 132 | 0.0204 |
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+ | 0.0249 | 13.0 | 143 | 0.0126 |
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+ | 0.0169 | 14.0 | 154 | 0.0085 |
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+ | 0.0123 | 15.0 | 165 | 0.0061 |
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+ | 0.009 | 16.0 | 176 | 0.0047 |
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+ | 0.0073 | 17.0 | 187 | 0.0037 |
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+ | 0.006 | 18.0 | 198 | 0.0031 |
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+ | 0.0049 | 19.0 | 209 | 0.0024 |
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+ | 0.0043 | 20.0 | 220 | 0.0023 |
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+ | 0.0037 | 21.0 | 231 | 0.0020 |
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+ | 0.0033 | 22.0 | 242 | 0.0019 |
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+ | 0.0032 | 23.0 | 253 | 0.0018 |
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+ | 0.003 | 24.0 | 264 | 0.0016 |
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+ | 0.0025 | 25.0 | 275 | 0.0015 |
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+ | 0.0024 | 26.0 | 286 | 0.0014 |
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+ | 0.0023 | 27.0 | 297 | 0.0014 |
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+ | 0.0022 | 28.0 | 308 | 0.0014 |
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+ | 0.0021 | 29.0 | 319 | 0.0013 |
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+ | 0.002 | 30.0 | 330 | 0.0012 |
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+ | 0.0019 | 31.0 | 341 | 0.0012 |
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+ | 0.0018 | 32.0 | 352 | 0.0012 |
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+ | 0.0018 | 33.0 | 363 | 0.0012 |
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+ | 0.0017 | 34.0 | 374 | 0.0011 |
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+ | 0.0018 | 35.0 | 385 | 0.0011 |
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+ | 0.0018 | 36.0 | 396 | 0.0011 |
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+ | 0.0017 | 37.0 | 407 | 0.0011 |
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+ | 0.0016 | 38.0 | 418 | 0.0011 |
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+ | 0.0016 | 39.0 | 429 | 0.0011 |
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+ | 0.0015 | 40.0 | 440 | 0.0011 |
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  ### Framework versions
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