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WokenDisaster
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calculator_model_test

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Safetensors
encoder-decoder
text2text-generation
Generated from Trainer
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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: 0.7355
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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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- | 3.3780 | 1.0 | 6 | 2.7619 |
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- | 2.3653 | 2.0 | 12 | 1.9806 |
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- | 1.8135 | 3.0 | 18 | 1.7048 |
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- | 1.6665 | 4.0 | 24 | 1.6037 |
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- | 1.6130 | 5.0 | 30 | 1.5829 |
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- | 1.5728 | 6.0 | 36 | 1.5338 |
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- | 1.5328 | 7.0 | 42 | 1.5101 |
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- | 1.4865 | 8.0 | 48 | 1.4820 |
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- | 1.4839 | 9.0 | 54 | 1.4680 |
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- | 1.4541 | 10.0 | 60 | 1.4679 |
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- | 1.4324 | 11.0 | 66 | 1.4330 |
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- | 1.4104 | 12.0 | 72 | 1.4058 |
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- | 1.3761 | 13.0 | 78 | 1.3999 |
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- | 1.3623 | 14.0 | 84 | 1.3250 |
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- | 1.3036 | 15.0 | 90 | 1.2529 |
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- | 1.2079 | 16.0 | 96 | 1.1756 |
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- | 1.1945 | 17.0 | 102 | 1.1626 |
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- | 1.1495 | 18.0 | 108 | 1.1486 |
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- | 1.1182 | 19.0 | 114 | 1.0547 |
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- | 1.1258 | 20.0 | 120 | 1.0511 |
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- | 1.0633 | 21.0 | 126 | 0.9869 |
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- | 1.0325 | 22.0 | 132 | 1.0065 |
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- | 0.9872 | 23.0 | 138 | 1.0223 |
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- | 0.9750 | 24.0 | 144 | 0.9260 |
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- | 0.9233 | 25.0 | 150 | 0.8954 |
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- | 0.9047 | 26.0 | 156 | 0.9252 |
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- | 0.9108 | 27.0 | 162 | 1.0835 |
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- | 0.9996 | 28.0 | 168 | 0.9048 |
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- | 0.9074 | 29.0 | 174 | 0.8987 |
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- | 0.9140 | 30.0 | 180 | 0.9117 |
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- | 0.8903 | 31.0 | 186 | 0.8308 |
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- | 0.8400 | 32.0 | 192 | 0.8109 |
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- | 0.8132 | 33.0 | 198 | 0.7858 |
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- | 0.8104 | 34.0 | 204 | 0.7726 |
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- | 0.8046 | 35.0 | 210 | 0.7656 |
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- | 0.7920 | 36.0 | 216 | 0.7540 |
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- | 0.7715 | 37.0 | 222 | 0.7493 |
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- | 0.7849 | 38.0 | 228 | 0.7372 |
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- | 0.7567 | 39.0 | 234 | 0.7368 |
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- | 0.7689 | 40.0 | 240 | 0.7355 |
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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: 0.0074
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.7828 | 1.0 | 6 | 2.0687 |
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+ | 1.7850 | 2.0 | 12 | 1.3799 |
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+ | 1.1680 | 3.0 | 18 | 0.9251 |
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+ | 0.8524 | 4.0 | 24 | 0.8014 |
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+ | 0.7640 | 5.0 | 30 | 0.7196 |
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+ | 0.6746 | 6.0 | 36 | 0.6506 |
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+ | 0.5984 | 7.0 | 42 | 0.5609 |
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+ | 0.5341 | 8.0 | 48 | 0.5140 |
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+ | 0.4857 | 9.0 | 54 | 0.4675 |
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+ | 0.4357 | 10.0 | 60 | 0.4175 |
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+ | 0.3966 | 11.0 | 66 | 0.3690 |
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+ | 0.3566 | 12.0 | 72 | 0.3337 |
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+ | 0.3136 | 13.0 | 78 | 0.2890 |
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+ | 0.2728 | 14.0 | 84 | 0.2274 |
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+ | 0.2186 | 15.0 | 90 | 0.1968 |
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+ | 0.1854 | 16.0 | 96 | 0.1546 |
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+ | 0.1514 | 17.0 | 102 | 0.1240 |
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+ | 0.1256 | 18.0 | 108 | 0.0980 |
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+ | 0.1096 | 19.0 | 114 | 0.0838 |
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+ | 0.0973 | 20.0 | 120 | 0.0623 |
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+ | 0.0709 | 21.0 | 126 | 0.0514 |
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+ | 0.0586 | 22.0 | 132 | 0.0419 |
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+ | 0.0513 | 23.0 | 138 | 0.0342 |
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+ | 0.0414 | 24.0 | 144 | 0.0265 |
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+ | 0.0354 | 25.0 | 150 | 0.0225 |
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+ | 0.0316 | 26.0 | 156 | 0.0193 |
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+ | 0.0279 | 27.0 | 162 | 0.0161 |
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+ | 0.0254 | 28.0 | 168 | 0.0156 |
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+ | 0.0228 | 29.0 | 174 | 0.0130 |
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+ | 0.0202 | 30.0 | 180 | 0.0111 |
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+ | 0.0176 | 31.0 | 186 | 0.0104 |
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+ | 0.0169 | 32.0 | 192 | 0.0094 |
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+ | 0.0146 | 33.0 | 198 | 0.0092 |
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+ | 0.0141 | 34.0 | 204 | 0.0085 |
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+ | 0.0150 | 35.0 | 210 | 0.0083 |
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+ | 0.0135 | 36.0 | 216 | 0.0080 |
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+ | 0.0144 | 37.0 | 222 | 0.0078 |
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+ | 0.0134 | 38.0 | 228 | 0.0076 |
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+ | 0.0129 | 39.0 | 234 | 0.0074 |
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+ | 0.0120 | 40.0 | 240 | 0.0074 |
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  ### Framework versions