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TheJakubek
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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: 0.1432
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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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+ | 2.9619 | 1.0 | 6 | 2.2703 |
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+ | 2.0327 | 2.0 | 12 | 1.7673 |
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+ | 1.6053 | 3.0 | 18 | 1.3886 |
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+ | 1.2679 | 4.0 | 24 | 1.1616 |
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+ | 1.0723 | 5.0 | 30 | 1.0302 |
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+ | 0.9910 | 6.0 | 36 | 0.9907 |
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+ | 0.9064 | 7.0 | 42 | 0.8454 |
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+ | 0.8019 | 8.0 | 48 | 0.7476 |
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+ | 0.7394 | 9.0 | 54 | 0.7726 |
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+ | 0.7155 | 10.0 | 60 | 0.6386 |
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+ | 0.6290 | 11.0 | 66 | 0.6013 |
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+ | 0.5877 | 12.0 | 72 | 0.5625 |
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+ | 0.5574 | 13.0 | 78 | 0.5217 |
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+ | 0.5265 | 14.0 | 84 | 0.4952 |
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+ | 0.5026 | 15.0 | 90 | 0.4686 |
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+ | 0.4780 | 16.0 | 96 | 0.4439 |
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+ | 0.4424 | 17.0 | 102 | 0.4193 |
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+ | 0.4208 | 18.0 | 108 | 0.4193 |
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+ | 0.4181 | 19.0 | 114 | 0.3753 |
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+ | 0.3887 | 20.0 | 120 | 0.3754 |
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+ | 0.3926 | 21.0 | 126 | 0.3477 |
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+ | 0.3558 | 22.0 | 132 | 0.3137 |
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+ | 0.3339 | 23.0 | 138 | 0.3153 |
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+ | 0.3184 | 24.0 | 144 | 0.2835 |
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+ | 0.2936 | 25.0 | 150 | 0.2796 |
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+ | 0.2708 | 26.0 | 156 | 0.2514 |
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+ | 0.2641 | 27.0 | 162 | 0.2385 |
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+ | 0.2414 | 28.0 | 168 | 0.2228 |
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+ | 0.2311 | 29.0 | 174 | 0.2163 |
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+ | 0.2236 | 30.0 | 180 | 0.2022 |
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+ | 0.2206 | 31.0 | 186 | 0.1944 |
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+ | 0.2064 | 32.0 | 192 | 0.1902 |
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+ | 0.1955 | 33.0 | 198 | 0.1744 |
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+ | 0.1864 | 34.0 | 204 | 0.1688 |
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+ | 0.1777 | 35.0 | 210 | 0.1662 |
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+ | 0.1765 | 36.0 | 216 | 0.1539 |
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+ | 0.1627 | 37.0 | 222 | 0.1517 |
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+ | 0.1600 | 38.0 | 228 | 0.1478 |
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+ | 0.1561 | 39.0 | 234 | 0.1442 |
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+ | 0.1537 | 40.0 | 240 | 0.1432 |
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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+cpu
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+ - Datasets 4.0.0
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+ - Tokenizers 0.22.2