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ms8080
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calculator_model_test_2

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: 0.0796
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  ## Model description
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@@ -46,46 +46,46 @@ 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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- | 3.0122 | 1.0 | 6 | 2.2341 |
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- | 2.0139 | 2.0 | 12 | 1.7303 |
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- | 1.5716 | 3.0 | 18 | 1.3182 |
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- | 1.2075 | 4.0 | 24 | 1.0462 |
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- | 0.9857 | 5.0 | 30 | 0.9041 |
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- | 0.8531 | 6.0 | 36 | 0.8073 |
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- | 0.7766 | 7.0 | 42 | 0.7281 |
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- | 0.6967 | 8.0 | 48 | 0.6472 |
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- | 0.6500 | 9.0 | 54 | 0.6128 |
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- | 0.6093 | 10.0 | 60 | 0.5931 |
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- | 0.5940 | 11.0 | 66 | 0.5832 |
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- | 0.5649 | 12.0 | 72 | 0.5204 |
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- | 0.5204 | 13.0 | 78 | 0.4749 |
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- | 0.4860 | 14.0 | 84 | 0.4492 |
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- | 0.4544 | 15.0 | 90 | 0.4304 |
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- | 0.4405 | 16.0 | 96 | 0.4120 |
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- | 0.4213 | 17.0 | 102 | 0.4185 |
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- | 0.4109 | 18.0 | 108 | 0.3708 |
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- | 0.3905 | 19.0 | 114 | 0.3601 |
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- | 0.3704 | 20.0 | 120 | 0.3407 |
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- | 0.3448 | 21.0 | 126 | 0.3095 |
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- | 0.3217 | 22.0 | 132 | 0.2805 |
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- | 0.3015 | 23.0 | 138 | 0.2602 |
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- | 0.2891 | 24.0 | 144 | 0.2410 |
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- | 0.2659 | 25.0 | 150 | 0.2206 |
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- | 0.2457 | 26.0 | 156 | 0.1997 |
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- | 0.2334 | 27.0 | 162 | 0.1874 |
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- | 0.2244 | 28.0 | 168 | 0.1780 |
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- | 0.2119 | 29.0 | 174 | 0.1686 |
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- | 0.1992 | 30.0 | 180 | 0.1615 |
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- | 0.1853 | 31.0 | 186 | 0.1473 |
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- | 0.1748 | 32.0 | 192 | 0.1302 |
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- | 0.1571 | 33.0 | 198 | 0.1183 |
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- | 0.1565 | 34.0 | 204 | 0.1065 |
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- | 0.1435 | 35.0 | 210 | 0.0978 |
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- | 0.1310 | 36.0 | 216 | 0.0947 |
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- | 0.1251 | 37.0 | 222 | 0.0867 |
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- | 0.1276 | 38.0 | 228 | 0.0843 |
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- | 0.1116 | 39.0 | 234 | 0.0806 |
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- | 0.1153 | 40.0 | 240 | 0.0796 |
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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: 0.4881
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.2172 | 1.0 | 14 | 2.4439 |
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+ | 2.2511 | 2.0 | 28 | 2.0993 |
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+ | 1.8900 | 3.0 | 42 | 1.6658 |
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+ | 1.5938 | 4.0 | 56 | 1.5309 |
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+ | 1.5062 | 5.0 | 70 | 1.4552 |
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+ | 1.4073 | 6.0 | 84 | 1.3081 |
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+ | 1.2474 | 7.0 | 98 | 1.1300 |
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+ | 1.0879 | 8.0 | 112 | 1.0155 |
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+ | 1.0071 | 9.0 | 126 | 0.9430 |
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+ | 0.9353 | 10.0 | 140 | 0.8832 |
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+ | 0.8847 | 11.0 | 154 | 0.8358 |
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+ | 0.8417 | 12.0 | 168 | 0.7919 |
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+ | 0.8073 | 13.0 | 182 | 0.7743 |
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+ | 0.8013 | 14.0 | 196 | 0.8096 |
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+ | 0.7776 | 15.0 | 210 | 0.7482 |
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+ | 0.7476 | 16.0 | 224 | 0.7241 |
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+ | 0.7231 | 17.0 | 238 | 0.7127 |
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+ | 0.7045 | 18.0 | 252 | 0.6679 |
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+ | 0.6851 | 19.0 | 266 | 0.6536 |
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+ | 0.6707 | 20.0 | 280 | 0.6485 |
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+ | 0.6507 | 21.0 | 294 | 0.6197 |
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+ | 0.6447 | 22.0 | 308 | 0.6277 |
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+ | 0.6359 | 23.0 | 322 | 0.6155 |
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+ | 0.6184 | 24.0 | 336 | 0.6017 |
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+ | 0.6143 | 25.0 | 350 | 0.5939 |
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+ | 0.5941 | 26.0 | 364 | 0.5718 |
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+ | 0.5859 | 27.0 | 378 | 0.5659 |
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+ | 0.5741 | 28.0 | 392 | 0.5695 |
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+ | 0.5714 | 29.0 | 406 | 0.5546 |
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+ | 0.5585 | 30.0 | 420 | 0.5382 |
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+ | 0.5445 | 31.0 | 434 | 0.5273 |
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+ | 0.5361 | 32.0 | 448 | 0.5203 |
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+ | 0.5292 | 33.0 | 462 | 0.5166 |
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+ | 0.5218 | 34.0 | 476 | 0.5145 |
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+ | 0.5153 | 35.0 | 490 | 0.5066 |
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+ | 0.5098 | 36.0 | 504 | 0.4994 |
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+ | 0.5039 | 37.0 | 518 | 0.4933 |
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+ | 0.5011 | 38.0 | 532 | 0.4913 |
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+ | 0.4962 | 39.0 | 546 | 0.4892 |
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+ | 0.4929 | 40.0 | 560 | 0.4881 |
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  ### Framework versions