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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: 0.1663
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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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+ | 3.0776 | 1.0 | 5 | 2.3467 |
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+ | 2.1508 | 2.0 | 10 | 1.8830 |
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+ | 1.7317 | 3.0 | 15 | 1.5145 |
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+ | 1.3813 | 4.0 | 20 | 1.1827 |
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+ | 1.1212 | 5.0 | 25 | 0.9861 |
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+ | 0.946 | 6.0 | 30 | 0.8613 |
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+ | 0.8189 | 7.0 | 35 | 0.7596 |
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+ | 0.7274 | 8.0 | 40 | 0.6659 |
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+ | 0.6581 | 9.0 | 45 | 0.6032 |
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+ | 0.6222 | 10.0 | 50 | 0.5788 |
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+ | 0.5988 | 11.0 | 55 | 0.5530 |
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+ | 0.5561 | 12.0 | 60 | 0.5159 |
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+ | 0.5173 | 13.0 | 65 | 0.4937 |
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+ | 0.4961 | 14.0 | 70 | 0.4725 |
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+ | 0.4748 | 15.0 | 75 | 0.4424 |
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+ | 0.4517 | 16.0 | 80 | 0.4525 |
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+ | 0.4394 | 17.0 | 85 | 0.4096 |
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+ | 0.4145 | 18.0 | 90 | 0.3804 |
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+ | 0.3882 | 19.0 | 95 | 0.3678 |
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+ | 0.3736 | 20.0 | 100 | 0.3467 |
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+ | 0.3562 | 21.0 | 105 | 0.3246 |
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+ | 0.3406 | 22.0 | 110 | 0.3180 |
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+ | 0.3231 | 23.0 | 115 | 0.2966 |
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+ | 0.3111 | 24.0 | 120 | 0.2839 |
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+ | 0.2992 | 25.0 | 125 | 0.2701 |
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+ | 0.2815 | 26.0 | 130 | 0.2644 |
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+ | 0.2753 | 27.0 | 135 | 0.2459 |
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+ | 0.2651 | 28.0 | 140 | 0.2375 |
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+ | 0.2532 | 29.0 | 145 | 0.2226 |
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+ | 0.2407 | 30.0 | 150 | 0.2142 |
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+ | 0.2339 | 31.0 | 155 | 0.2031 |
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+ | 0.2218 | 32.0 | 160 | 0.1959 |
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+ | 0.2142 | 33.0 | 165 | 0.1880 |
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+ | 0.2107 | 34.0 | 170 | 0.1871 |
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+ | 0.2062 | 35.0 | 175 | 0.1816 |
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+ | 0.1997 | 36.0 | 180 | 0.1789 |
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+ | 0.1961 | 37.0 | 185 | 0.1740 |
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+ | 0.1929 | 38.0 | 190 | 0.1707 |
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+ | 0.1907 | 39.0 | 195 | 0.1681 |
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+ | 0.1885 | 40.0 | 200 | 0.1663 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.1
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.17.1
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+ - Tokenizers 0.15.2
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