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calculator_model_test

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End of training

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  1. README.md +46 -44
  2. config.json +1 -0
  3. model.safetensors +1 -1
  4. runs/Mar04_10-02-54_c60a5c456cbd/events.out.tfevents.1709546575.c60a5c456cbd.796.1 +3 -0
  5. training_args.bin +1 -1
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
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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: 0.6445
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.001
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- - train_batch_size: 512
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- - eval_batch_size: 512
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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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- | 3.3594 | 1.0 | 6 | 2.6961 |
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- | 2.338 | 2.0 | 12 | 1.9172 |
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- | 1.7807 | 3.0 | 18 | 1.6504 |
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- | 1.6413 | 4.0 | 24 | 1.5772 |
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- | 1.5569 | 5.0 | 30 | 1.5075 |
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- | 1.5204 | 6.0 | 36 | 1.5027 |
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- | 1.4613 | 7.0 | 42 | 1.4240 |
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- | 1.4149 | 8.0 | 48 | 1.3841 |
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- | 1.4121 | 9.0 | 54 | 1.3384 |
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- | 1.3282 | 10.0 | 60 | 1.2658 |
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- | 1.3428 | 11.0 | 66 | 1.3187 |
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- | 1.2754 | 12.0 | 72 | 1.2000 |
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- | 1.2004 | 13.0 | 78 | 1.1383 |
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- | 1.1374 | 14.0 | 84 | 1.1283 |
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- | 1.1239 | 15.0 | 90 | 1.1534 |
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- | 1.1362 | 16.0 | 96 | 1.0378 |
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- | 1.0319 | 17.0 | 102 | 1.0088 |
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- | 0.9973 | 18.0 | 108 | 0.9690 |
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- | 0.9907 | 19.0 | 114 | 0.9688 |
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- | 0.9369 | 20.0 | 120 | 0.8948 |
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- | 0.9286 | 21.0 | 126 | 0.9302 |
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- | 0.9444 | 22.0 | 132 | 1.0039 |
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- | 0.9423 | 23.0 | 138 | 0.9451 |
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- | 0.8952 | 24.0 | 144 | 0.8408 |
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- | 0.8529 | 25.0 | 150 | 0.8326 |
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- | 0.8326 | 26.0 | 156 | 0.8112 |
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- | 0.8228 | 27.0 | 162 | 0.7828 |
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- | 0.7914 | 28.0 | 168 | 0.7701 |
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- | 0.7917 | 29.0 | 174 | 0.7489 |
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- | 0.7663 | 30.0 | 180 | 0.7327 |
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- | 0.7588 | 31.0 | 186 | 0.7069 |
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- | 0.7347 | 32.0 | 192 | 0.7117 |
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- | 0.7311 | 33.0 | 198 | 0.6902 |
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- | 0.7303 | 34.0 | 204 | 0.6899 |
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- | 0.7098 | 35.0 | 210 | 0.6822 |
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- | 0.7147 | 36.0 | 216 | 0.6766 |
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- | 0.7189 | 37.0 | 222 | 0.6559 |
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- | 0.6973 | 38.0 | 228 | 0.6488 |
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- | 0.6922 | 39.0 | 234 | 0.6454 |
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- | 0.6808 | 40.0 | 240 | 0.6445 |
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  ### Framework versions
 
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  ---
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+ base_model: Kielak2/calculator_model_test
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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
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+ This model is a fine-tuned version of [Kielak2/calculator_model_test](https://huggingface.co/Kielak2/calculator_model_test) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1439
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.001
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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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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+ - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.3404 | 1.0 | 41 | 0.9112 |
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+ | 1.0195 | 2.0 | 82 | 1.0749 |
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+ | 0.9524 | 3.0 | 123 | 0.9697 |
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+ | 0.8765 | 4.0 | 164 | 0.7983 |
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+ | 0.8274 | 5.0 | 205 | 0.9082 |
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+ | 0.7727 | 6.0 | 246 | 0.7641 |
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+ | 1.3801 | 7.0 | 287 | 0.7807 |
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+ | 0.7733 | 8.0 | 328 | 0.8173 |
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+ | 0.7062 | 9.0 | 369 | 0.6003 |
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+ | 0.6671 | 10.0 | 410 | 0.7683 |
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+ | 0.6935 | 11.0 | 451 | 0.6048 |
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+ | 0.6598 | 12.0 | 492 | 0.6386 |
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+ | 0.6553 | 13.0 | 533 | 0.5399 |
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+ | 0.6033 | 14.0 | 574 | 0.5085 |
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+ | 0.5972 | 15.0 | 615 | 0.5428 |
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+ | 0.5928 | 16.0 | 656 | 0.5449 |
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+ | 0.6432 | 17.0 | 697 | 0.5153 |
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+ | 0.5887 | 18.0 | 738 | 0.4591 |
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+ | 0.5011 | 19.0 | 779 | 0.4463 |
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+ | 0.5117 | 20.0 | 820 | 0.4133 |
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+ | 0.4846 | 21.0 | 861 | 0.5346 |
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+ | 0.4815 | 22.0 | 902 | 0.3905 |
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+ | 0.4375 | 23.0 | 943 | 0.3758 |
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+ | 0.4313 | 24.0 | 984 | 0.3518 |
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+ | 0.4049 | 25.0 | 1025 | 0.3904 |
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+ | 0.4028 | 26.0 | 1066 | 0.2871 |
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+ | 0.3749 | 27.0 | 1107 | 0.3456 |
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+ | 0.3682 | 28.0 | 1148 | 0.3105 |
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+ | 0.3442 | 29.0 | 1189 | 0.2684 |
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+ | 0.3515 | 30.0 | 1230 | 0.2455 |
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+ | 0.3199 | 31.0 | 1271 | 0.2793 |
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+ | 0.3196 | 32.0 | 1312 | 0.2236 |
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+ | 0.3139 | 33.0 | 1353 | 0.2613 |
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+ | 0.2875 | 34.0 | 1394 | 0.2020 |
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+ | 0.2639 | 35.0 | 1435 | 0.1783 |
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+ | 0.261 | 36.0 | 1476 | 0.1987 |
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+ | 0.2455 | 37.0 | 1517 | 0.1795 |
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+ | 0.2355 | 38.0 | 1558 | 0.1632 |
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+ | 0.228 | 39.0 | 1599 | 0.1480 |
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+ | 0.2177 | 40.0 | 1640 | 0.1439 |
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  ### Framework versions
config.json CHANGED
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  "architectures": [
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  "EncoderDecoderModel"
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