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FranciszekW
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calculator_model_test

Transformers
Safetensors
encoder-decoder
text2text-generation
Generated from Trainer
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End of training

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  1. README.md +41 -41
README.md CHANGED
@@ -14,7 +14,7 @@ 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: 0.7587
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  ## Model description
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@@ -45,46 +45,46 @@ 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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- | 3.3905 | 1.0 | 6 | 2.7593 |
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- | 2.3813 | 2.0 | 12 | 1.9656 |
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- | 1.8076 | 3.0 | 18 | 1.7975 |
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- | 1.6865 | 4.0 | 24 | 1.6015 |
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- | 1.6266 | 5.0 | 30 | 1.5417 |
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- | 1.5564 | 6.0 | 36 | 1.5234 |
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- | 1.5670 | 7.0 | 42 | 1.4885 |
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- | 1.4755 | 8.0 | 48 | 1.4845 |
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- | 1.4553 | 9.0 | 54 | 1.4282 |
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- | 1.3998 | 10.0 | 60 | 1.3892 |
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- | 1.3807 | 11.0 | 66 | 1.4245 |
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- | 1.3757 | 12.0 | 72 | 1.3621 |
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- | 1.4022 | 13.0 | 78 | 1.3681 |
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- | 1.3708 | 14.0 | 84 | 1.3895 |
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- | 1.3165 | 15.0 | 90 | 1.3833 |
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- | 1.3175 | 16.0 | 96 | 1.2848 |
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- | 1.2743 | 17.0 | 102 | 1.1980 |
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- | 1.1495 | 18.0 | 108 | 1.1075 |
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- | 1.1404 | 19.0 | 114 | 1.2389 |
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- | 1.1571 | 20.0 | 120 | 1.2186 |
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- | 1.0899 | 21.0 | 126 | 1.1755 |
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- | 1.1031 | 22.0 | 132 | 1.0796 |
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- | 1.0593 | 23.0 | 138 | 1.0277 |
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- | 1.0208 | 24.0 | 144 | 0.9903 |
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- | 1.0026 | 25.0 | 150 | 0.9652 |
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- | 0.9545 | 26.0 | 156 | 0.9527 |
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- | 0.9473 | 27.0 | 162 | 0.9269 |
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- | 0.9368 | 28.0 | 168 | 0.8756 |
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- | 0.8888 | 29.0 | 174 | 0.8562 |
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- | 0.8691 | 30.0 | 180 | 0.8433 |
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- | 0.8606 | 31.0 | 186 | 0.8264 |
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- | 0.8426 | 32.0 | 192 | 0.8245 |
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- | 0.8346 | 33.0 | 198 | 0.8379 |
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- | 0.8317 | 34.0 | 204 | 0.7902 |
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- | 0.8179 | 35.0 | 210 | 0.7921 |
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- | 0.7966 | 36.0 | 216 | 0.7797 |
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- | 0.8478 | 37.0 | 222 | 0.7753 |
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- | 0.8111 | 38.0 | 228 | 0.7637 |
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- | 0.8759 | 39.0 | 234 | 0.7613 |
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- | 0.8218 | 40.0 | 240 | 0.7587 |
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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: 0.7719
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.1715 | 1.0 | 14 | 2.5138 |
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+ | 2.4606 | 2.0 | 28 | 2.4244 |
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+ | 2.4161 | 3.0 | 42 | 2.4069 |
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+ | 2.3712 | 4.0 | 56 | 2.3128 |
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+ | 2.3084 | 5.0 | 70 | 2.3046 |
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+ | 2.3103 | 6.0 | 84 | 2.3062 |
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+ | 2.3059 | 7.0 | 98 | 2.3058 |
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+ | 2.3035 | 8.0 | 112 | 2.3015 |
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+ | 2.2891 | 9.0 | 126 | 2.2507 |
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+ | 2.1651 | 10.0 | 140 | 2.0143 |
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+ | 1.8401 | 11.0 | 154 | 1.4818 |
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+ | 1.2616 | 12.0 | 168 | 1.0189 |
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+ | 0.9410 | 13.0 | 182 | 0.8415 |
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+ | 0.8222 | 14.0 | 196 | 0.7897 |
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+ | 0.7887 | 15.0 | 210 | 0.7789 |
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+ | 0.7803 | 16.0 | 224 | 0.7753 |
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+ | 0.7768 | 17.0 | 238 | 0.7738 |
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+ | 0.7749 | 18.0 | 252 | 0.7726 |
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+ | 0.7736 | 19.0 | 266 | 0.7723 |
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+ | 0.7727 | 20.0 | 280 | 0.7719 |
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+ | 0.7720 | 21.0 | 294 | 0.7714 |
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+ | 0.7714 | 22.0 | 308 | 0.7713 |
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+ | 0.7709 | 23.0 | 322 | 0.7710 |
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+ | 0.7705 | 24.0 | 336 | 0.7709 |
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+ | 0.7701 | 25.0 | 350 | 0.7710 |
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+ | 0.7697 | 26.0 | 364 | 0.7708 |
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+ | 0.7692 | 27.0 | 378 | 0.7709 |
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+ | 0.7689 | 28.0 | 392 | 0.7710 |
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+ | 0.7684 | 29.0 | 406 | 0.7711 |
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+ | 0.7682 | 30.0 | 420 | 0.7710 |
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+ | 0.7677 | 31.0 | 434 | 0.7712 |
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+ | 0.7676 | 32.0 | 448 | 0.7712 |
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+ | 0.7673 | 33.0 | 462 | 0.7717 |
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+ | 0.7670 | 34.0 | 476 | 0.7715 |
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+ | 0.7666 | 35.0 | 490 | 0.7716 |
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+ | 0.7664 | 36.0 | 504 | 0.7716 |
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+ | 0.7661 | 37.0 | 518 | 0.7718 |
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+ | 0.7658 | 38.0 | 532 | 0.7719 |
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+ | 0.7657 | 39.0 | 546 | 0.7719 |
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+ | 0.7656 | 40.0 | 560 | 0.7719 |
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  ### Framework versions