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quantumLeopard
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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: 0.8265
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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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+ | 3.3713 | 1.0 | 6 | 2.7407 |
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+ | 2.3822 | 2.0 | 12 | 1.9801 |
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+ | 1.8469 | 3.0 | 18 | 1.7620 |
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+ | 1.6856 | 4.0 | 24 | 1.6523 |
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+ | 1.5850 | 5.0 | 30 | 1.5717 |
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+ | 1.5724 | 6.0 | 36 | 1.5614 |
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+ | 1.5732 | 7.0 | 42 | 1.5982 |
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+ | 1.5612 | 8.0 | 48 | 1.5541 |
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+ | 1.5150 | 9.0 | 54 | 1.5472 |
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+ | 1.5381 | 10.0 | 60 | 1.5420 |
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+ | 1.5009 | 11.0 | 66 | 1.5214 |
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+ | 1.4708 | 12.0 | 72 | 1.5045 |
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+ | 1.4142 | 13.0 | 78 | 1.4491 |
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+ | 1.3770 | 14.0 | 84 | 1.4765 |
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+ | 1.4015 | 15.0 | 90 | 1.4103 |
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+ | 1.3578 | 16.0 | 96 | 1.3616 |
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+ | 1.3067 | 17.0 | 102 | 1.3457 |
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+ | 1.2960 | 18.0 | 108 | 1.2655 |
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+ | 1.2258 | 19.0 | 114 | 1.1882 |
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+ | 1.1866 | 20.0 | 120 | 1.1589 |
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+ | 1.1587 | 21.0 | 126 | 1.1081 |
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+ | 1.1298 | 22.0 | 132 | 1.1637 |
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+ | 1.1604 | 23.0 | 138 | 1.2731 |
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+ | 1.2051 | 24.0 | 144 | 1.2092 |
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+ | 1.1464 | 25.0 | 150 | 1.1579 |
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+ | 1.1727 | 26.0 | 156 | 1.1376 |
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+ | 1.1154 | 27.0 | 162 | 1.0331 |
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+ | 1.0202 | 28.0 | 168 | 0.9898 |
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+ | 0.9987 | 29.0 | 174 | 0.9700 |
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+ | 0.9822 | 30.0 | 180 | 0.9418 |
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+ | 0.9669 | 31.0 | 186 | 0.9244 |
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+ | 0.9476 | 32.0 | 192 | 0.9193 |
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+ | 0.9287 | 33.0 | 198 | 0.8947 |
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+ | 0.9272 | 34.0 | 204 | 0.8853 |
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+ | 0.8966 | 35.0 | 210 | 0.8606 |
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+ | 0.8966 | 36.0 | 216 | 0.8529 |
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+ | 0.8811 | 37.0 | 222 | 0.8400 |
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+ | 0.9120 | 38.0 | 228 | 0.8333 |
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+ | 0.8685 | 39.0 | 234 | 0.8284 |
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+ | 0.8596 | 40.0 | 240 | 0.8265 |
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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