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PawelNarcos
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calculator_model_test

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text2text-generation
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End of training

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  1. README.md +41 -41
  2. model.safetensors +1 -1
  3. runs/Mar04_13-58-09_7eccf1ba7969/events.out.tfevents.1709560690.7eccf1ba7969.331.1 +3 -0
  4. 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: 0.7491
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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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- | 3.415 | 1.0 | 6 | 2.7963 |
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- | 2.4074 | 2.0 | 12 | 1.9768 |
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- | 1.8076 | 3.0 | 18 | 1.6975 |
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- | 1.631 | 4.0 | 24 | 1.6085 |
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- | 1.557 | 5.0 | 30 | 1.5766 |
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- | 1.572 | 6.0 | 36 | 1.5571 |
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- | 1.5449 | 7.0 | 42 | 1.5249 |
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- | 1.4936 | 8.0 | 48 | 1.5404 |
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- | 1.5192 | 9.0 | 54 | 1.4919 |
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- | 1.4605 | 10.0 | 60 | 1.4851 |
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- | 1.4553 | 11.0 | 66 | 1.4590 |
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- | 1.4292 | 12.0 | 72 | 1.4652 |
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- | 1.4121 | 13.0 | 78 | 1.4307 |
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- | 1.3945 | 14.0 | 84 | 1.3903 |
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- | 1.3656 | 15.0 | 90 | 1.3513 |
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- | 1.323 | 16.0 | 96 | 1.3290 |
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- | 1.2754 | 17.0 | 102 | 1.3396 |
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- | 1.2643 | 18.0 | 108 | 1.2157 |
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- | 1.1926 | 19.0 | 114 | 1.1660 |
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- | 1.1646 | 20.0 | 120 | 1.0959 |
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- | 1.1272 | 21.0 | 126 | 1.0731 |
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- | 1.0866 | 22.0 | 132 | 1.0264 |
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- | 1.0795 | 23.0 | 138 | 1.0202 |
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- | 1.0375 | 24.0 | 144 | 1.0136 |
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- | 1.0369 | 25.0 | 150 | 0.9635 |
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- | 1.0076 | 26.0 | 156 | 0.9510 |
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- | 0.9793 | 27.0 | 162 | 0.9585 |
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- | 0.9608 | 28.0 | 168 | 0.8828 |
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- | 0.9239 | 29.0 | 174 | 0.8845 |
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- | 0.9138 | 30.0 | 180 | 0.8512 |
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- | 0.9076 | 31.0 | 186 | 0.8600 |
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- | 0.8815 | 32.0 | 192 | 0.8543 |
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- | 0.8953 | 33.0 | 198 | 0.8376 |
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- | 0.8682 | 34.0 | 204 | 0.7939 |
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- | 0.8365 | 35.0 | 210 | 0.7926 |
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- | 0.8287 | 36.0 | 216 | 0.7876 |
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- | 0.8226 | 37.0 | 222 | 0.7683 |
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- | 0.812 | 38.0 | 228 | 0.7613 |
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- | 0.8063 | 39.0 | 234 | 0.7507 |
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- | 0.7875 | 40.0 | 240 | 0.7491 |
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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: 0.4321
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.6407 | 1.0 | 6 | 1.4441 |
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+ | 1.3434 | 2.0 | 12 | 1.1708 |
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+ | 1.1389 | 3.0 | 18 | 1.0341 |
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+ | 1.0368 | 4.0 | 24 | 0.9642 |
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+ | 0.9908 | 5.0 | 30 | 0.9415 |
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+ | 0.9337 | 6.0 | 36 | 0.8563 |
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+ | 0.8645 | 7.0 | 42 | 0.8316 |
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+ | 0.8712 | 8.0 | 48 | 0.7734 |
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+ | 0.8167 | 9.0 | 54 | 0.7830 |
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+ | 0.8066 | 10.0 | 60 | 0.8592 |
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+ | 0.8427 | 11.0 | 66 | 0.8967 |
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+ | 0.8576 | 12.0 | 72 | 0.7355 |
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+ | 0.768 | 13.0 | 78 | 0.7169 |
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+ | 0.7285 | 14.0 | 84 | 0.7622 |
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+ | 0.7499 | 15.0 | 90 | 0.7064 |
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+ | 0.745 | 16.0 | 96 | 0.6762 |
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+ | 0.7111 | 17.0 | 102 | 0.6568 |
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+ | 0.6875 | 18.0 | 108 | 0.6555 |
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+ | 0.6578 | 19.0 | 114 | 0.6345 |
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+ | 0.6575 | 20.0 | 120 | 0.6218 |
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+ | 0.6395 | 21.0 | 126 | 0.5968 |
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+ | 0.6334 | 22.0 | 132 | 0.6121 |
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+ | 0.6152 | 23.0 | 138 | 0.5598 |
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+ | 0.6004 | 24.0 | 144 | 0.5747 |
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+ | 0.6055 | 25.0 | 150 | 0.5442 |
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+ | 0.5802 | 26.0 | 156 | 0.5698 |
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+ | 0.569 | 27.0 | 162 | 0.5516 |
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+ | 0.59 | 28.0 | 168 | 0.5207 |
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+ | 0.5726 | 29.0 | 174 | 0.5025 |
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+ | 0.5501 | 30.0 | 180 | 0.4908 |
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+ | 0.5348 | 31.0 | 186 | 0.4861 |
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+ | 0.5264 | 32.0 | 192 | 0.4948 |
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+ | 0.5247 | 33.0 | 198 | 0.4665 |
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+ | 0.5225 | 34.0 | 204 | 0.4615 |
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+ | 0.5074 | 35.0 | 210 | 0.4552 |
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+ | 0.5044 | 36.0 | 216 | 0.4687 |
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+ | 0.4931 | 37.0 | 222 | 0.4478 |
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+ | 0.5002 | 38.0 | 228 | 0.4479 |
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+ | 0.5039 | 39.0 | 234 | 0.4330 |
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+ | 0.4774 | 40.0 | 240 | 0.4321 |
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  ### Framework versions
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