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quantumLeopard
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calculator_model_test

Transformers
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: 0.8265
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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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- | 3.3713 | 1.0 | 6 | 2.7407 |
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- | 2.3822 | 2.0 | 12 | 1.9801 |
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- | 1.8469 | 3.0 | 18 | 1.7620 |
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- | 1.6856 | 4.0 | 24 | 1.6523 |
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- | 1.5850 | 5.0 | 30 | 1.5717 |
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- | 1.5724 | 6.0 | 36 | 1.5614 |
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- | 1.5732 | 7.0 | 42 | 1.5982 |
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- | 1.5612 | 8.0 | 48 | 1.5541 |
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- | 1.5150 | 9.0 | 54 | 1.5472 |
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- | 1.5381 | 10.0 | 60 | 1.5420 |
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- | 1.5009 | 11.0 | 66 | 1.5214 |
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- | 1.4708 | 12.0 | 72 | 1.5045 |
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- | 1.4142 | 13.0 | 78 | 1.4491 |
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- | 1.3770 | 14.0 | 84 | 1.4765 |
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- | 1.4015 | 15.0 | 90 | 1.4103 |
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- | 1.3578 | 16.0 | 96 | 1.3616 |
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- | 1.3067 | 17.0 | 102 | 1.3457 |
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- | 1.2960 | 18.0 | 108 | 1.2655 |
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- | 1.2258 | 19.0 | 114 | 1.1882 |
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- | 1.1866 | 20.0 | 120 | 1.1589 |
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- | 1.1587 | 21.0 | 126 | 1.1081 |
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- | 1.1298 | 22.0 | 132 | 1.1637 |
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- | 1.1604 | 23.0 | 138 | 1.2731 |
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- | 1.2051 | 24.0 | 144 | 1.2092 |
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- | 1.1464 | 25.0 | 150 | 1.1579 |
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- | 1.1727 | 26.0 | 156 | 1.1376 |
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- | 1.1154 | 27.0 | 162 | 1.0331 |
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- | 1.0202 | 28.0 | 168 | 0.9898 |
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- | 0.9987 | 29.0 | 174 | 0.9700 |
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- | 0.9822 | 30.0 | 180 | 0.9418 |
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- | 0.9669 | 31.0 | 186 | 0.9244 |
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- | 0.9476 | 32.0 | 192 | 0.9193 |
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- | 0.9287 | 33.0 | 198 | 0.8947 |
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- | 0.9272 | 34.0 | 204 | 0.8853 |
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- | 0.8966 | 35.0 | 210 | 0.8606 |
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- | 0.8966 | 36.0 | 216 | 0.8529 |
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- | 0.8811 | 37.0 | 222 | 0.8400 |
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- | 0.9120 | 38.0 | 228 | 0.8333 |
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- | 0.8685 | 39.0 | 234 | 0.8284 |
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- | 0.8596 | 40.0 | 240 | 0.8265 |
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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: 0.0081
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.3082 | 1.0 | 13 | 1.5231 |
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+ | 1.1642 | 2.0 | 26 | 0.6529 |
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+ | 0.5406 | 3.0 | 39 | 0.4543 |
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+ | 0.4265 | 4.0 | 52 | 0.3722 |
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+ | 0.3552 | 5.0 | 65 | 0.3185 |
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+ | 0.3062 | 6.0 | 78 | 0.2691 |
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+ | 0.2728 | 7.0 | 91 | 0.2339 |
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+ | 0.2413 | 8.0 | 104 | 0.2233 |
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+ | 0.2198 | 9.0 | 117 | 0.1933 |
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+ | 0.1998 | 10.0 | 130 | 0.1740 |
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+ | 0.1837 | 11.0 | 143 | 0.1533 |
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+ | 0.1708 | 12.0 | 156 | 0.1555 |
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+ | 0.1567 | 13.0 | 169 | 0.1211 |
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+ | 0.1362 | 14.0 | 182 | 0.1083 |
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+ | 0.1219 | 15.0 | 195 | 0.0929 |
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+ | 0.1065 | 16.0 | 208 | 0.0694 |
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+ | 0.0861 | 17.0 | 221 | 0.0588 |
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+ | 0.0690 | 18.0 | 234 | 0.0387 |
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+ | 0.0567 | 19.0 | 247 | 0.0314 |
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+ | 0.0504 | 20.0 | 260 | 0.0283 |
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+ | 0.0448 | 21.0 | 273 | 0.0296 |
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+ | 0.0388 | 22.0 | 286 | 0.0217 |
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+ | 0.0339 | 23.0 | 299 | 0.0192 |
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+ | 0.0304 | 24.0 | 312 | 0.0181 |
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+ | 0.0294 | 25.0 | 325 | 0.0158 |
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+ | 0.0279 | 26.0 | 338 | 0.0138 |
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+ | 0.0249 | 27.0 | 351 | 0.0134 |
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+ | 0.0234 | 28.0 | 364 | 0.0133 |
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+ | 0.0219 | 29.0 | 377 | 0.0113 |
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+ | 0.0204 | 30.0 | 390 | 0.0108 |
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+ | 0.0191 | 31.0 | 403 | 0.0100 |
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+ | 0.0181 | 32.0 | 416 | 0.0097 |
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+ | 0.0179 | 33.0 | 429 | 0.0097 |
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+ | 0.0169 | 34.0 | 442 | 0.0092 |
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+ | 0.0166 | 35.0 | 455 | 0.0085 |
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+ | 0.0161 | 36.0 | 468 | 0.0086 |
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+ | 0.0156 | 37.0 | 481 | 0.0082 |
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+ | 0.0155 | 38.0 | 494 | 0.0081 |
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+ | 0.0149 | 39.0 | 507 | 0.0081 |
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+ | 0.0149 | 40.0 | 520 | 0.0081 |
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  ### Framework versions