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calculator_model_test

Transformers
Safetensors
encoder-decoder
text2text-generation
Generated from Trainer
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+ ---
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+ library_name: transformers
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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: 0.0695
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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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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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+ | 3.0686 | 1.0 | 5 | 2.3473 |
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+ | 2.1497 | 2.0 | 10 | 1.8466 |
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+ | 1.7093 | 3.0 | 15 | 1.4770 |
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+ | 1.3516 | 4.0 | 20 | 1.1862 |
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+ | 1.1256 | 5.0 | 25 | 1.0369 |
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+ | 0.9968 | 6.0 | 30 | 0.9148 |
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+ | 0.8740 | 7.0 | 35 | 0.7848 |
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+ | 0.7769 | 8.0 | 40 | 0.7072 |
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+ | 0.7493 | 9.0 | 45 | 0.6786 |
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+ | 0.6867 | 10.0 | 50 | 0.6278 |
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+ | 0.6252 | 11.0 | 55 | 0.5787 |
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+ | 0.5738 | 12.0 | 60 | 0.5314 |
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+ | 0.5339 | 13.0 | 65 | 0.4908 |
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+ | 0.5060 | 14.0 | 70 | 0.4669 |
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+ | 0.4701 | 15.0 | 75 | 0.4442 |
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+ | 0.4516 | 16.0 | 80 | 0.4094 |
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+ | 0.4198 | 17.0 | 85 | 0.3800 |
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+ | 0.3867 | 18.0 | 90 | 0.3529 |
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+ | 0.3603 | 19.0 | 95 | 0.3184 |
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+ | 0.3273 | 20.0 | 100 | 0.2823 |
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+ | 0.2989 | 21.0 | 105 | 0.2565 |
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+ | 0.2673 | 22.0 | 110 | 0.2198 |
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+ | 0.2490 | 23.0 | 115 | 0.2012 |
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+ | 0.2227 | 24.0 | 120 | 0.1754 |
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+ | 0.1998 | 25.0 | 125 | 0.1565 |
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+ | 0.1802 | 26.0 | 130 | 0.1433 |
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+ | 0.1650 | 27.0 | 135 | 0.1301 |
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+ | 0.1544 | 28.0 | 140 | 0.1162 |
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+ | 0.1430 | 29.0 | 145 | 0.1074 |
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+ | 0.1336 | 30.0 | 150 | 0.0990 |
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+ | 0.1267 | 31.0 | 155 | 0.0942 |
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+ | 0.1185 | 32.0 | 160 | 0.0890 |
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+ | 0.1142 | 33.0 | 165 | 0.0854 |
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+ | 0.1076 | 34.0 | 170 | 0.0804 |
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+ | 0.1030 | 35.0 | 175 | 0.0762 |
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+ | 0.1002 | 36.0 | 180 | 0.0765 |
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+ | 0.0973 | 37.0 | 185 | 0.0717 |
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+ | 0.0969 | 38.0 | 190 | 0.0705 |
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+ | 0.0951 | 39.0 | 195 | 0.0697 |
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+ | 0.0933 | 40.0 | 200 | 0.0695 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 5.0.0
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+ - Pytorch 2.10.0+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.22.2