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p-fuchs
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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: 2.5764
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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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+ | 3.4238 | 1.0 | 6 | 2.7523 |
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+ | 2.3982 | 2.0 | 12 | 2.1138 |
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+ | 1.8535 | 3.0 | 18 | 1.8031 |
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+ | 1.6989 | 4.0 | 24 | 1.9360 |
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+ | 1.5938 | 5.0 | 30 | 1.6749 |
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+ | 1.5256 | 6.0 | 36 | 1.6441 |
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+ | 1.4844 | 7.0 | 42 | 1.7053 |
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+ | 1.4458 | 8.0 | 48 | 1.6526 |
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+ | 1.4297 | 9.0 | 54 | 1.8445 |
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+ | 1.3608 | 10.0 | 60 | 1.8894 |
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+ | 1.2888 | 11.0 | 66 | 2.1697 |
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+ | 1.2656 | 12.0 | 72 | 2.0470 |
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+ | 1.2222 | 13.0 | 78 | 2.0777 |
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+ | 1.1678 | 14.0 | 84 | 2.1063 |
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+ | 1.1038 | 15.0 | 90 | 2.0946 |
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+ | 1.0625 | 16.0 | 96 | 2.0211 |
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+ | 1.0258 | 17.0 | 102 | 2.1410 |
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+ | 1.0500 | 18.0 | 108 | 2.3152 |
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+ | 1.0602 | 19.0 | 114 | 2.3428 |
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+ | 1.0098 | 20.0 | 120 | 2.2889 |
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+ | 1.0509 | 21.0 | 126 | 2.2918 |
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+ | 0.9735 | 22.0 | 132 | 2.3569 |
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+ | 0.8998 | 23.0 | 138 | 2.4122 |
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+ | 0.8866 | 24.0 | 144 | 2.5343 |
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+ | 0.8842 | 25.0 | 150 | 2.5096 |
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+ | 0.8412 | 26.0 | 156 | 2.5483 |
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+ | 0.8250 | 27.0 | 162 | 2.4582 |
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+ | 0.8417 | 28.0 | 168 | 2.5274 |
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+ | 0.7937 | 29.0 | 174 | 2.5061 |
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+ | 0.7735 | 30.0 | 180 | 2.6067 |
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+ | 0.7456 | 31.0 | 186 | 2.5956 |
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+ | 0.7543 | 32.0 | 192 | 2.5598 |
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+ | 0.7232 | 33.0 | 198 | 2.5147 |
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+ | 0.7093 | 34.0 | 204 | 2.5534 |
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+ | 0.7012 | 35.0 | 210 | 2.6147 |
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+ | 0.6985 | 36.0 | 216 | 2.5596 |
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+ | 0.6898 | 37.0 | 222 | 2.6099 |
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+ | 0.6722 | 38.0 | 228 | 2.5622 |
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+ | 0.6785 | 39.0 | 234 | 2.5618 |
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+ | 0.6685 | 40.0 | 240 | 2.5764 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 5.2.0
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+ - Pytorch 2.10.0
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+ - Datasets 4.5.0
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+ - Tokenizers 0.22.2