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calculator_model_test_second_version

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  1. README.md +104 -43
  2. model.safetensors +1 -1
  3. runs/Mar10_16-36-52_d0c17e360eb0/events.out.tfevents.1710088613.d0c17e360eb0.144.2 +2 -2
README.md CHANGED
@@ -1,4 +1,5 @@
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  ---
 
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -11,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # calculator_model_test_second_version
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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: 0.5478
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  ## Model description
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@@ -38,52 +39,112 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 40
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 2.0454 | 1.0 | 6 | 2.2310 |
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- | 1.6835 | 2.0 | 12 | 1.4963 |
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- | 1.3775 | 3.0 | 18 | 1.2650 |
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- | 1.1881 | 4.0 | 24 | 1.1579 |
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- | 1.1931 | 5.0 | 30 | 1.0007 |
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- | 1.042 | 6.0 | 36 | 1.1641 |
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- | 1.031 | 7.0 | 42 | 0.9882 |
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- | 1.0836 | 8.0 | 48 | 1.0392 |
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- | 1.0022 | 9.0 | 54 | 1.1673 |
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- | 1.0128 | 10.0 | 60 | 0.9882 |
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- | 0.8977 | 11.0 | 66 | 0.8865 |
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- | 0.9378 | 12.0 | 72 | 0.8764 |
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- | 0.8259 | 13.0 | 78 | 0.8787 |
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- | 0.8394 | 14.0 | 84 | 0.9580 |
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- | 0.8509 | 15.0 | 90 | 0.9473 |
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- | 0.9177 | 16.0 | 96 | 0.9688 |
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- | 0.8503 | 17.0 | 102 | 1.0041 |
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- | 0.9502 | 18.0 | 108 | 0.7994 |
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- | 0.8317 | 19.0 | 114 | 0.8624 |
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- | 0.8301 | 20.0 | 120 | 0.8158 |
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- | 0.8836 | 21.0 | 126 | 0.8111 |
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- | 0.754 | 22.0 | 132 | 0.7485 |
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- | 0.702 | 23.0 | 138 | 0.7653 |
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- | 0.7269 | 24.0 | 144 | 0.7102 |
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- | 0.7311 | 25.0 | 150 | 0.7360 |
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- | 0.6969 | 26.0 | 156 | 0.6814 |
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- | 0.6893 | 27.0 | 162 | 0.6987 |
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- | 0.6539 | 28.0 | 168 | 0.6808 |
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- | 0.6486 | 29.0 | 174 | 0.6228 |
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- | 0.6017 | 30.0 | 180 | 0.6521 |
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- | 0.6344 | 31.0 | 186 | 0.6632 |
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- | 0.6694 | 32.0 | 192 | 0.6081 |
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- | 0.5938 | 33.0 | 198 | 0.6134 |
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- | 0.6098 | 34.0 | 204 | 0.5964 |
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- | 0.601 | 35.0 | 210 | 0.5892 |
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- | 0.5915 | 36.0 | 216 | 0.5688 |
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- | 0.5986 | 37.0 | 222 | 0.5611 |
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- | 0.5743 | 38.0 | 228 | 0.5682 |
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- | 0.5705 | 39.0 | 234 | 0.5519 |
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- | 0.5603 | 40.0 | 240 | 0.5478 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ---
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+ base_model: Marcin1304/calculator_model_test_second_version
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # calculator_model_test_second_version
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+ This model is a fine-tuned version of [Marcin1304/calculator_model_test_second_version](https://huggingface.co/Marcin1304/calculator_model_test_second_version) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2389
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 100
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.2873 | 1.0 | 6 | 1.9912 |
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+ | 1.5146 | 2.0 | 12 | 1.3209 |
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+ | 1.2285 | 3.0 | 18 | 1.1801 |
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+ | 1.0626 | 4.0 | 24 | 0.9960 |
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+ | 0.9666 | 5.0 | 30 | 0.9306 |
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+ | 0.97 | 6.0 | 36 | 1.0819 |
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+ | 0.9378 | 7.0 | 42 | 0.8703 |
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+ | 0.8406 | 8.0 | 48 | 0.9923 |
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+ | 0.8336 | 9.0 | 54 | 1.0611 |
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+ | 0.8993 | 10.0 | 60 | 1.0071 |
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+ | 0.9199 | 11.0 | 66 | 1.0511 |
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+ | 0.8449 | 12.0 | 72 | 0.9035 |
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+ | 0.8191 | 13.0 | 78 | 0.8029 |
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+ | 0.8255 | 14.0 | 84 | 0.8020 |
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+ | 0.7228 | 15.0 | 90 | 0.7840 |
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+ | 0.7615 | 16.0 | 96 | 0.7198 |
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+ | 0.7899 | 17.0 | 102 | 0.8399 |
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+ | 0.7886 | 18.0 | 108 | 0.8223 |
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+ | 0.7632 | 19.0 | 114 | 0.9763 |
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+ | 0.8606 | 20.0 | 120 | 0.8903 |
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+ | 0.8832 | 21.0 | 126 | 0.7017 |
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+ | 0.6498 | 22.0 | 132 | 0.7738 |
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+ | 0.6574 | 23.0 | 138 | 0.7236 |
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+ | 0.6743 | 24.0 | 144 | 0.6933 |
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+ | 0.7442 | 25.0 | 150 | 0.7139 |
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+ | 0.6502 | 26.0 | 156 | 0.7101 |
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+ | 0.6673 | 27.0 | 162 | 0.7023 |
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+ | 0.6832 | 28.0 | 168 | 0.6822 |
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+ | 0.6392 | 29.0 | 174 | 0.7016 |
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+ | 0.6422 | 30.0 | 180 | 0.6936 |
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+ | 0.6156 | 31.0 | 186 | 0.7276 |
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+ | 0.7164 | 32.0 | 192 | 0.9599 |
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+ | 0.756 | 33.0 | 198 | 0.6658 |
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+ | 0.6535 | 34.0 | 204 | 0.6337 |
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+ | 0.6145 | 35.0 | 210 | 0.6351 |
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+ | 0.6088 | 36.0 | 216 | 0.7991 |
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+ | 0.7964 | 37.0 | 222 | 0.7509 |
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+ | 0.6849 | 38.0 | 228 | 0.8377 |
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+ | 0.7383 | 39.0 | 234 | 0.8608 |
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+ | 0.7743 | 40.0 | 240 | 0.7585 |
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+ | 0.6994 | 41.0 | 246 | 0.6738 |
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+ | 0.5989 | 42.0 | 252 | 0.6800 |
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+ | 0.6557 | 43.0 | 258 | 0.6884 |
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+ | 0.6094 | 44.0 | 264 | 0.6098 |
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+ | 0.5702 | 45.0 | 270 | 0.5899 |
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+ | 0.5163 | 46.0 | 276 | 0.6388 |
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+ | 0.5197 | 47.0 | 282 | 0.5813 |
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+ | 0.533 | 48.0 | 288 | 0.5542 |
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+ | 0.5098 | 49.0 | 294 | 0.6037 |
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+ | 0.5744 | 50.0 | 300 | 0.5459 |
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+ | 0.5406 | 51.0 | 306 | 0.4853 |
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+ | 0.4949 | 52.0 | 312 | 0.5002 |
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+ | 0.5339 | 53.0 | 318 | 0.4890 |
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+ | 0.4816 | 54.0 | 324 | 0.5177 |
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+ | 0.4628 | 55.0 | 330 | 0.6028 |
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+ | 0.6122 | 56.0 | 336 | 0.6144 |
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+ | 0.5971 | 57.0 | 342 | 0.5610 |
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+ | 0.4972 | 58.0 | 348 | 0.4756 |
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+ | 0.4366 | 59.0 | 354 | 0.5127 |
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+ | 0.4997 | 60.0 | 360 | 0.4715 |
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+ | 0.438 | 61.0 | 366 | 0.4521 |
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+ | 0.4767 | 62.0 | 372 | 0.4349 |
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+ | 0.412 | 63.0 | 378 | 0.4219 |
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+ | 0.4277 | 64.0 | 384 | 0.4291 |
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+ | 0.4438 | 65.0 | 390 | 0.4336 |
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+ | 0.4469 | 66.0 | 396 | 0.4069 |
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+ | 0.411 | 67.0 | 402 | 0.4527 |
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+ | 0.4254 | 68.0 | 408 | 0.4175 |
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+ | 0.4065 | 69.0 | 414 | 0.4491 |
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+ | 0.4622 | 70.0 | 420 | 0.5119 |
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+ | 0.4282 | 71.0 | 426 | 0.4622 |
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+ | 0.4039 | 72.0 | 432 | 0.4182 |
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+ | 0.3895 | 73.0 | 438 | 0.3957 |
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+ | 0.3855 | 74.0 | 444 | 0.3803 |
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+ | 0.3831 | 75.0 | 450 | 0.3974 |
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+ | 0.3929 | 76.0 | 456 | 0.3644 |
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+ | 0.3427 | 77.0 | 462 | 0.4010 |
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+ | 0.4154 | 78.0 | 468 | 0.3790 |
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+ | 0.3531 | 79.0 | 474 | 0.3431 |
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+ | 0.3188 | 80.0 | 480 | 0.3468 |
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+ | 0.3318 | 81.0 | 486 | 0.3372 |
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+ | 0.4482 | 82.0 | 492 | 0.3205 |
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+ | 0.3545 | 83.0 | 498 | 0.3224 |
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+ | 0.3746 | 84.0 | 504 | 0.3176 |
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+ | 0.3518 | 85.0 | 510 | 0.3004 |
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+ | 0.3093 | 86.0 | 516 | 0.3007 |
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+ | 0.2869 | 87.0 | 522 | 0.2944 |
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+ | 0.3496 | 88.0 | 528 | 0.2786 |
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+ | 0.314 | 89.0 | 534 | 0.2811 |
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+ | 0.3336 | 90.0 | 540 | 0.2715 |
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+ | 0.2944 | 91.0 | 546 | 0.2637 |
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+ | 0.2578 | 92.0 | 552 | 0.2534 |
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+ | 0.2688 | 93.0 | 558 | 0.2583 |
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+ | 0.2726 | 94.0 | 564 | 0.2568 |
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+ | 0.2723 | 95.0 | 570 | 0.2487 |
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+ | 0.2621 | 96.0 | 576 | 0.2543 |
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+ | 0.2512 | 97.0 | 582 | 0.2403 |
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+ | 0.2427 | 98.0 | 588 | 0.2397 |
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+ | 0.2482 | 99.0 | 594 | 0.2399 |
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+ | 0.2797 | 100.0 | 600 | 0.2389 |
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  ### Framework versions
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