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kdybek
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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: 0.6972
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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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- | 3.3649 | 1.0 | 6 | 2.7153 |
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- | 2.3605 | 2.0 | 12 | 1.9770 |
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- | 1.8762 | 3.0 | 18 | 1.8314 |
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- | 1.7087 | 4.0 | 24 | 1.6308 |
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- | 1.5872 | 5.0 | 30 | 1.5721 |
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- | 1.5402 | 6.0 | 36 | 1.5762 |
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- | 1.5551 | 7.0 | 42 | 1.5150 |
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- | 1.4845 | 8.0 | 48 | 1.4379 |
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- | 1.4242 | 9.0 | 54 | 1.4336 |
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- | 1.4366 | 10.0 | 60 | 1.4667 |
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- | 1.4201 | 11.0 | 66 | 1.3418 |
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- | 1.3582 | 12.0 | 72 | 1.3444 |
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- | 1.2970 | 13.0 | 78 | 1.2631 |
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- | 1.2555 | 14.0 | 84 | 1.1872 |
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- | 1.2123 | 15.0 | 90 | 1.1236 |
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- | 1.1462 | 16.0 | 96 | 1.2033 |
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- | 1.1759 | 17.0 | 102 | 1.3057 |
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- | 1.2533 | 18.0 | 108 | 1.1116 |
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- | 1.1282 | 19.0 | 114 | 1.0883 |
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- | 1.0965 | 20.0 | 120 | 1.0154 |
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- | 1.0613 | 21.0 | 126 | 0.9573 |
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- | 1.0078 | 22.0 | 132 | 0.9409 |
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- | 0.9792 | 23.0 | 138 | 0.8945 |
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- | 0.9558 | 24.0 | 144 | 0.8906 |
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- | 0.9607 | 25.0 | 150 | 0.9939 |
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- | 0.9912 | 26.0 | 156 | 0.8803 |
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- | 0.9246 | 27.0 | 162 | 0.8663 |
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- | 0.9007 | 28.0 | 168 | 0.8122 |
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- | 0.8707 | 29.0 | 174 | 0.8545 |
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- | 0.9024 | 30.0 | 180 | 0.7968 |
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- | 0.8457 | 31.0 | 186 | 0.7854 |
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- | 0.8399 | 32.0 | 192 | 0.7852 |
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- | 0.8280 | 33.0 | 198 | 0.7653 |
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- | 0.8076 | 34.0 | 204 | 0.7343 |
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- | 0.8012 | 35.0 | 210 | 0.7293 |
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- | 0.7911 | 36.0 | 216 | 0.7189 |
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- | 0.7811 | 37.0 | 222 | 0.7193 |
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- | 0.7931 | 38.0 | 228 | 0.7037 |
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- | 0.7674 | 39.0 | 234 | 0.6996 |
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- | 0.7534 | 40.0 | 240 | 0.6972 |
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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: 0.1029
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.0054 | 1.0 | 6 | 2.2737 |
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+ | 2.0384 | 2.0 | 12 | 1.7426 |
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+ | 1.5809 | 3.0 | 18 | 1.3404 |
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+ | 1.2444 | 4.0 | 24 | 1.0828 |
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+ | 1.0174 | 5.0 | 30 | 0.9111 |
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+ | 0.8686 | 6.0 | 36 | 0.7906 |
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+ | 0.7634 | 7.0 | 42 | 0.7097 |
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+ | 0.7201 | 8.0 | 48 | 0.6570 |
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+ | 0.6563 | 9.0 | 54 | 0.6026 |
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+ | 0.6174 | 10.0 | 60 | 0.5597 |
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+ | 0.5637 | 11.0 | 66 | 0.5282 |
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+ | 0.5339 | 12.0 | 72 | 0.5110 |
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+ | 0.5056 | 13.0 | 78 | 0.4819 |
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+ | 0.4833 | 14.0 | 84 | 0.4364 |
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+ | 0.4595 | 15.0 | 90 | 0.4270 |
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+ | 0.4414 | 16.0 | 96 | 0.4014 |
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+ | 0.4358 | 17.0 | 102 | 0.3982 |
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+ | 0.3998 | 18.0 | 108 | 0.3680 |
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+ | 0.3790 | 19.0 | 114 | 0.3431 |
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+ | 0.3564 | 20.0 | 120 | 0.3411 |
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+ | 0.3567 | 21.0 | 126 | 0.3193 |
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+ | 0.3297 | 22.0 | 132 | 0.2895 |
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+ | 0.3156 | 23.0 | 138 | 0.2718 |
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+ | 0.2846 | 24.0 | 144 | 0.2467 |
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+ | 0.2590 | 25.0 | 150 | 0.2285 |
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+ | 0.2476 | 26.0 | 156 | 0.2163 |
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+ | 0.2361 | 27.0 | 162 | 0.2084 |
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+ | 0.2255 | 28.0 | 168 | 0.1900 |
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+ | 0.2156 | 29.0 | 174 | 0.1825 |
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+ | 0.2100 | 30.0 | 180 | 0.1861 |
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+ | 0.2060 | 31.0 | 186 | 0.1727 |
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+ | 0.1867 | 32.0 | 192 | 0.1626 |
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+ | 0.1811 | 33.0 | 198 | 0.1422 |
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+ | 0.1652 | 34.0 | 204 | 0.1297 |
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+ | 0.1540 | 35.0 | 210 | 0.1264 |
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+ | 0.1483 | 36.0 | 216 | 0.1190 |
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+ | 0.1493 | 37.0 | 222 | 0.1116 |
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+ | 0.1373 | 38.0 | 228 | 0.1065 |
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+ | 0.1366 | 39.0 | 234 | 0.1040 |
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+ | 0.1319 | 40.0 | 240 | 0.1029 |
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  ### Framework versions