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kubawini
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calculator_model_test

Transformers
Safetensors
encoder-decoder
text2text-generation
Generated from Trainer
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xet
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kubawini commited on
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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: 0.5273
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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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- | 3.5016 | 1.0 | 5 | 2.9126 |
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- | 2.5936 | 2.0 | 10 | 2.1378 |
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- | 1.9734 | 3.0 | 15 | 1.7390 |
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- | 1.675 | 4.0 | 20 | 1.5905 |
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- | 1.5806 | 5.0 | 25 | 1.5339 |
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- | 1.5145 | 6.0 | 30 | 1.4759 |
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- | 1.4506 | 7.0 | 35 | 1.4455 |
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- | 1.4115 | 8.0 | 40 | 1.4201 |
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- | 1.3842 | 9.0 | 45 | 1.3617 |
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- | 1.3247 | 10.0 | 50 | 1.3166 |
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- | 1.2904 | 11.0 | 55 | 1.2407 |
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- | 1.2512 | 12.0 | 60 | 1.1711 |
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- | 1.1494 | 13.0 | 65 | 1.0965 |
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- | 1.0872 | 14.0 | 70 | 1.0205 |
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- | 1.02 | 15.0 | 75 | 0.9646 |
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- | 0.9704 | 16.0 | 80 | 0.9247 |
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- | 0.9501 | 17.0 | 85 | 0.9461 |
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- | 0.9197 | 18.0 | 90 | 0.8543 |
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- | 0.8702 | 19.0 | 95 | 0.8341 |
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- | 0.8448 | 20.0 | 100 | 0.7913 |
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- | 0.8311 | 21.0 | 105 | 0.7940 |
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- | 0.8232 | 22.0 | 110 | 0.7546 |
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- | 0.8025 | 23.0 | 115 | 0.7363 |
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- | 0.7622 | 24.0 | 120 | 0.7150 |
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- | 0.7492 | 25.0 | 125 | 0.7079 |
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- | 0.7254 | 26.0 | 130 | 0.6696 |
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- | 0.7016 | 27.0 | 135 | 0.6536 |
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- | 0.6924 | 28.0 | 140 | 0.6428 |
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- | 0.6744 | 29.0 | 145 | 0.6152 |
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- | 0.6591 | 30.0 | 150 | 0.6192 |
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- | 0.6732 | 31.0 | 155 | 0.6003 |
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- | 0.6467 | 32.0 | 160 | 0.5996 |
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- | 0.6466 | 33.0 | 165 | 0.5750 |
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- | 0.6171 | 34.0 | 170 | 0.5640 |
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- | 0.6142 | 35.0 | 175 | 0.5541 |
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- | 0.6112 | 36.0 | 180 | 0.5509 |
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- | 0.6005 | 37.0 | 185 | 0.5499 |
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- | 0.5989 | 38.0 | 190 | 0.5364 |
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- | 0.5887 | 39.0 | 195 | 0.5333 |
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- | 0.5859 | 40.0 | 200 | 0.5273 |
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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: 0.1171
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.0616 | 1.0 | 6 | 2.4103 |
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+ | 2.1327 | 2.0 | 12 | 1.8156 |
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+ | 1.6546 | 3.0 | 18 | 1.4538 |
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+ | 1.3238 | 4.0 | 24 | 1.1793 |
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+ | 1.0938 | 5.0 | 30 | 1.0270 |
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+ | 0.9418 | 6.0 | 36 | 0.8882 |
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+ | 0.8472 | 7.0 | 42 | 0.8048 |
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+ | 0.8069 | 8.0 | 48 | 0.7782 |
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+ | 0.7235 | 9.0 | 54 | 0.6833 |
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+ | 0.6806 | 10.0 | 60 | 0.6410 |
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+ | 0.626 | 11.0 | 66 | 0.5912 |
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+ | 0.5771 | 12.0 | 72 | 0.5144 |
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+ | 0.5162 | 13.0 | 78 | 0.4871 |
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+ | 0.4921 | 14.0 | 84 | 0.4862 |
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+ | 0.4791 | 15.0 | 90 | 0.4469 |
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+ | 0.4594 | 16.0 | 96 | 0.3999 |
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+ | 0.3923 | 17.0 | 102 | 0.3790 |
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+ | 0.3812 | 18.0 | 108 | 0.3455 |
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+ | 0.3584 | 19.0 | 114 | 0.3355 |
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+ | 0.3303 | 20.0 | 120 | 0.2909 |
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+ | 0.2955 | 21.0 | 126 | 0.2728 |
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+ | 0.2934 | 22.0 | 132 | 0.3018 |
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+ | 0.2927 | 23.0 | 138 | 0.2477 |
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+ | 0.2647 | 24.0 | 144 | 0.2527 |
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+ | 0.2712 | 25.0 | 150 | 0.2479 |
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+ | 0.2469 | 26.0 | 156 | 0.2299 |
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+ | 0.2568 | 27.0 | 162 | 0.2180 |
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+ | 0.2518 | 28.0 | 168 | 0.2178 |
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+ | 0.2378 | 29.0 | 174 | 0.2158 |
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+ | 0.222 | 30.0 | 180 | 0.1843 |
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+ | 0.1971 | 31.0 | 186 | 0.1780 |
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+ | 0.1936 | 32.0 | 192 | 0.1677 |
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+ | 0.1928 | 33.0 | 198 | 0.1573 |
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+ | 0.1708 | 34.0 | 204 | 0.1471 |
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+ | 0.153 | 35.0 | 210 | 0.1375 |
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+ | 0.16 | 36.0 | 216 | 0.1321 |
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+ | 0.1493 | 37.0 | 222 | 0.1255 |
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+ | 0.1438 | 38.0 | 228 | 0.1204 |
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+ | 0.1401 | 39.0 | 234 | 0.1181 |
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+ | 0.1492 | 40.0 | 240 | 0.1171 |
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  ### Framework versions