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MichalSlowakiewicz
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calculator_model_test

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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: 0.7682
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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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- | 3.3661 | 1.0 | 6 | 2.7131 |
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- | 2.3822 | 2.0 | 12 | 1.9405 |
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- | 1.8235 | 3.0 | 18 | 1.6498 |
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- | 1.6165 | 4.0 | 24 | 1.6149 |
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- | 1.5671 | 5.0 | 30 | 1.5328 |
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- | 1.5471 | 6.0 | 36 | 1.5209 |
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- | 1.5322 | 7.0 | 42 | 1.5052 |
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- | 1.4977 | 8.0 | 48 | 1.4794 |
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- | 1.4647 | 9.0 | 54 | 1.4924 |
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- | 1.4797 | 10.0 | 60 | 1.4718 |
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- | 1.5132 | 11.0 | 66 | 1.4348 |
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- | 1.4242 | 12.0 | 72 | 1.4203 |
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- | 1.4328 | 13.0 | 78 | 1.3802 |
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- | 1.4071 | 14.0 | 84 | 1.3925 |
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- | 1.3738 | 15.0 | 90 | 1.3986 |
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- | 1.3646 | 16.0 | 96 | 1.3541 |
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- | 1.3287 | 17.0 | 102 | 1.3492 |
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- | 1.3127 | 18.0 | 108 | 1.2789 |
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- | 1.2528 | 19.0 | 114 | 1.2374 |
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- | 1.2071 | 20.0 | 120 | 1.2135 |
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- | 1.1659 | 21.0 | 126 | 1.1508 |
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- | 1.1385 | 22.0 | 132 | 1.0866 |
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- | 1.0977 | 23.0 | 138 | 1.0778 |
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- | 1.0814 | 24.0 | 144 | 1.0102 |
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- | 1.0185 | 25.0 | 150 | 1.0331 |
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- | 1.0102 | 26.0 | 156 | 0.9690 |
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- | 0.9957 | 27.0 | 162 | 0.9561 |
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- | 0.9643 | 28.0 | 168 | 0.9180 |
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- | 0.9419 | 29.0 | 174 | 0.8960 |
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- | 0.9068 | 30.0 | 180 | 0.8880 |
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- | 0.9053 | 31.0 | 186 | 0.8619 |
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- | 0.8945 | 32.0 | 192 | 0.8446 |
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- | 0.8696 | 33.0 | 198 | 0.8280 |
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- | 0.8621 | 34.0 | 204 | 0.8075 |
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- | 0.8508 | 35.0 | 210 | 0.7932 |
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- | 0.8423 | 36.0 | 216 | 0.7855 |
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- | 0.8254 | 37.0 | 222 | 0.7822 |
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- | 0.8205 | 38.0 | 228 | 0.7734 |
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- | 0.8143 | 39.0 | 234 | 0.7743 |
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- | 0.8048 | 40.0 | 240 | 0.7682 |
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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: 0.0811
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.9776 | 1.0 | 6 | 2.2338 |
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+ | 2.0137 | 2.0 | 12 | 1.7343 |
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+ | 1.5786 | 3.0 | 18 | 1.3472 |
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+ | 1.2457 | 4.0 | 24 | 1.0998 |
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+ | 1.0472 | 5.0 | 30 | 1.0031 |
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+ | 0.9384 | 6.0 | 36 | 0.8653 |
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+ | 0.8173 | 7.0 | 42 | 0.7479 |
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+ | 0.7478 | 8.0 | 48 | 0.7076 |
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+ | 0.6777 | 9.0 | 54 | 0.6401 |
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+ | 0.6439 | 10.0 | 60 | 0.5758 |
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+ | 0.5733 | 11.0 | 66 | 0.5338 |
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+ | 0.5459 | 12.0 | 72 | 0.5289 |
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+ | 0.5389 | 13.0 | 78 | 0.4816 |
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+ | 0.4900 | 14.0 | 84 | 0.4525 |
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+ | 0.4634 | 15.0 | 90 | 0.4408 |
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+ | 0.4486 | 16.0 | 96 | 0.4086 |
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+ | 0.4222 | 17.0 | 102 | 0.3999 |
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+ | 0.4134 | 18.0 | 108 | 0.3542 |
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+ | 0.3664 | 19.0 | 114 | 0.3412 |
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+ | 0.3552 | 20.0 | 120 | 0.3342 |
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+ | 0.3430 | 21.0 | 126 | 0.2933 |
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+ | 0.3136 | 22.0 | 132 | 0.2505 |
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+ | 0.2884 | 23.0 | 138 | 0.2319 |
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+ | 0.2694 | 24.0 | 144 | 0.2140 |
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+ | 0.2444 | 25.0 | 150 | 0.1982 |
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+ | 0.2260 | 26.0 | 156 | 0.1673 |
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+ | 0.2047 | 27.0 | 162 | 0.1553 |
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+ | 0.2054 | 28.0 | 168 | 0.1375 |
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+ | 0.1868 | 29.0 | 174 | 0.1267 |
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+ | 0.1679 | 30.0 | 180 | 0.1165 |
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+ | 0.1555 | 31.0 | 186 | 0.1120 |
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+ | 0.1533 | 32.0 | 192 | 0.1032 |
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+ | 0.1422 | 33.0 | 198 | 0.0982 |
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+ | 0.1332 | 34.0 | 204 | 0.0978 |
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+ | 0.1335 | 35.0 | 210 | 0.0920 |
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+ | 0.1256 | 36.0 | 216 | 0.0900 |
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+ | 0.1311 | 37.0 | 222 | 0.0879 |
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+ | 0.1185 | 38.0 | 228 | 0.0830 |
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+ | 0.1171 | 39.0 | 234 | 0.0816 |
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+ | 0.1154 | 40.0 | 240 | 0.0811 |
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  ### Framework versions