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End of training

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README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: calculator_model_test
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # calculator_model_test
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.1
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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