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Marcin1304
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calculator_model_test_third_version

Text2Text Generation
Transformers
TensorBoard
Safetensors
encoder-decoder
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
Marcin1304 commited on
Commit
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End of training

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Files changed (5) hide show
  1. README.md +101 -101
  2. model.safetensors +1 -1
  3. runs/Mar10_17-06-23_d0c17e360eb0/events.out.tfevents.1710090384.d0c17e360eb0.144.5 +3 -0
  4. tokenizer.json +36 -36
  5. training_args.bin +1 -1
README.md CHANGED
@@ -13,7 +13,7 @@ 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: 0.2789
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  ## Model description
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@@ -44,106 +44,106 @@ 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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- | 3.4163 | 1.0 | 6 | 2.7578 |
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- | 2.3764 | 2.0 | 12 | 1.9673 |
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- | 1.794 | 3.0 | 18 | 1.6871 |
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- | 1.682 | 4.0 | 24 | 1.6571 |
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- | 1.6127 | 5.0 | 30 | 1.5569 |
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- | 1.5398 | 6.0 | 36 | 1.5012 |
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- | 1.5125 | 7.0 | 42 | 1.5110 |
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- | 1.521 | 8.0 | 48 | 1.4432 |
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- | 1.4421 | 9.0 | 54 | 1.3939 |
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- | 1.3958 | 10.0 | 60 | 1.3717 |
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- | 1.3615 | 11.0 | 66 | 1.2885 |
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- | 1.2466 | 12.0 | 72 | 1.2391 |
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- | 1.2277 | 13.0 | 78 | 1.1908 |
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- | 1.1821 | 14.0 | 84 | 1.2211 |
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- | 1.1512 | 15.0 | 90 | 1.1313 |
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- | 1.1268 | 16.0 | 96 | 1.0571 |
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- | 1.0752 | 17.0 | 102 | 1.0546 |
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- | 1.0988 | 18.0 | 108 | 1.0526 |
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- | 1.0499 | 19.0 | 114 | 1.0063 |
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- | 0.9957 | 20.0 | 120 | 0.9662 |
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- | 1.0018 | 21.0 | 126 | 0.9062 |
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- | 0.9747 | 22.0 | 132 | 0.9273 |
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- | 0.9545 | 23.0 | 138 | 1.0973 |
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- | 1.0842 | 24.0 | 144 | 1.1854 |
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- | 1.0838 | 25.0 | 150 | 1.0031 |
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- | 0.9812 | 26.0 | 156 | 1.0129 |
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- | 1.0154 | 27.0 | 162 | 0.9693 |
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- | 0.9441 | 28.0 | 168 | 0.8257 |
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- | 0.863 | 29.0 | 174 | 0.8138 |
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- | 0.8591 | 30.0 | 180 | 0.8746 |
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- | 0.8913 | 31.0 | 186 | 0.8592 |
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- | 0.8719 | 32.0 | 192 | 0.7773 |
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- | 0.8187 | 33.0 | 198 | 0.7999 |
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- | 0.8013 | 34.0 | 204 | 0.7491 |
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- | 0.7976 | 35.0 | 210 | 0.7171 |
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- | 0.8033 | 36.0 | 216 | 0.7610 |
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- | 0.7785 | 37.0 | 222 | 0.8047 |
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- | 0.8141 | 38.0 | 228 | 0.7245 |
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- | 0.7726 | 39.0 | 234 | 0.6725 |
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- | 0.7832 | 40.0 | 240 | 0.8410 |
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- | 0.8625 | 41.0 | 246 | 0.7093 |
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- | 0.7307 | 42.0 | 252 | 0.6675 |
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- | 0.6832 | 43.0 | 258 | 0.6891 |
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- | 0.7126 | 44.0 | 264 | 0.7927 |
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- | 0.7808 | 45.0 | 270 | 0.7757 |
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- | 0.8031 | 46.0 | 276 | 0.6749 |
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- | 0.728 | 47.0 | 282 | 0.7299 |
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- | 0.741 | 48.0 | 288 | 0.6062 |
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- | 0.6505 | 50.0 | 300 | 0.6041 |
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- | 0.6315 | 51.0 | 306 | 0.5769 |
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- | 0.6339 | 52.0 | 312 | 0.6003 |
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- | 0.6388 | 53.0 | 318 | 0.6115 |
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- | 0.6436 | 54.0 | 324 | 0.5778 |
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- | 0.5993 | 55.0 | 330 | 0.5777 |
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- | 0.5936 | 56.0 | 336 | 0.5614 |
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- | 0.5873 | 57.0 | 342 | 0.5445 |
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- | 0.5819 | 58.0 | 348 | 0.5437 |
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- | 0.526 | 68.0 | 408 | 0.4341 |
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- | 0.3456 | 100.0 | 600 | 0.2789 |
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148
 
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  ### Framework versions
 
13
 
14
  This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
15
  It achieves the following results on the evaluation set:
16
+ - Loss: 0.1341
17
 
18
  ## Model description
19
 
 
44
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.4031 | 1.0 | 6 | 2.7477 |
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+ | 2.3423 | 2.0 | 12 | 2.0656 |
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+ | 1.7839 | 3.0 | 18 | 1.6402 |
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+ | 1.6119 | 4.0 | 24 | 1.5371 |
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+ | 1.544 | 5.0 | 30 | 1.4939 |
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+ | 1.4631 | 6.0 | 36 | 1.4346 |
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+ | 1.4052 | 7.0 | 42 | 1.3510 |
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+ | 1.3137 | 8.0 | 48 | 1.2456 |
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+ | 1.2297 | 9.0 | 54 | 1.2067 |
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+ | 1.2454 | 10.0 | 60 | 1.2082 |
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+ | 1.121 | 11.0 | 66 | 1.0614 |
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+ | 1.0353 | 12.0 | 72 | 0.9978 |
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+ | 1.0028 | 13.0 | 78 | 1.0926 |
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+ | 0.993 | 14.0 | 84 | 0.9551 |
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+ | 0.9267 | 15.0 | 90 | 0.9013 |
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+ | 0.8728 | 16.0 | 96 | 0.9764 |
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+ | 0.9072 | 17.0 | 102 | 0.8508 |
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+ | 0.8457 | 18.0 | 108 | 0.8541 |
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+ | 0.8278 | 19.0 | 114 | 0.7950 |
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+ | 0.7903 | 20.0 | 120 | 0.7892 |
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+ | 0.7726 | 21.0 | 126 | 0.7708 |
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+ | 0.7789 | 22.0 | 132 | 0.7830 |
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  ### Framework versions
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