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calculator_model_test
birdiepl/calculator_model_test
calculator_model_test is a machine learning model from birdiepl. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- encoder-decoder
- Access
- Public
- Created
- Mar 6, 2026
- Updated
- Mar 6, 2026
- SHA
- f9ae7f9e
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
calculator_model_test
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1067
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 512
- eval_batch_size: 512
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 40
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.9472 | 1.0 | 6 | 2.2628 |
| 2.0366 | 2.0 | 12 | 1.7642 |
| 1.5645 | 3.0 | 18 | 1.3854 |
| 1.2543 | 4.0 | 24 | 1.1356 |
| 1.0465 | 5.0 | 30 | 1.0000 |
| 0.9275 | 6.0 | 36 | 0.8717 |
| 0.8314 | 7.0 | 42 | 0.7647 |
| 0.7834 | 8.0 | 48 | 0.7636 |
| 0.7211 | 9.0 | 54 | 0.6759 |
| 0.6548 | 10.0 | 60 | 0.6257 |
| 0.6005 | 11.0 | 66 | 0.6371 |
| 0.6133 | 12.0 | 72 | 0.6054 |
| 0.5681 | 13.0 | 78 | 0.5610 |
| 0.5576 | 14.0 | 84 | 0.5441 |
| 0.5279 | 15.0 | 90 | 0.4975 |
| 0.4981 | 16.0 | 96 | 0.4773 |
| 0.4508 | 17.0 | 102 | 0.4559 |
| 0.4491 | 18.0 | 108 | 0.4150 |
| 0.4122 | 19.0 | 114 | 0.4092 |
| 0.3865 | 20.0 | 120 | 0.3901 |
| 0.3667 | 21.0 | 126 | 0.3332 |
| 0.3287 | 22.0 | 132 | 0.3279 |
| 0.3177 | 23.0 | 138 | 0.2912 |
| 0.2865 | 24.0 | 144 | 0.2619 |
| 0.2658 | 25.0 | 150 | 0.2492 |
| 0.2669 | 26.0 | 156 | 0.2297 |
| 0.2491 | 27.0 | 162 | 0.2012 |
| 0.2140 | 28.0 | 168 | 0.1816 |
| 0.2039 | 29.0 | 174 | 0.1664 |
| 0.1917 | 30.0 | 180 | 0.1593 |
| 0.1792 | 31.0 | 186 | 0.1406 |
| 0.1558 | 32.0 | 192 | 0.1353 |
| 0.1507 | 33.0 | 198 | 0.1392 |
| 0.1538 | 34.0 | 204 | 0.1245 |
| 0.1550 | 35.0 | 210 | 0.1156 |
| 0.1298 | 36.0 | 216 | 0.1170 |
| 0.1377 | 37.0 | 222 | 0.1142 |
| 0.1428 | 38.0 | 228 | 0.1121 |
| 0.1332 | 39.0 | 234 | 0.1076 |
| 0.1255 | 40.0 | 240 | 0.1067 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- encoder-decoder
- Created
- Mar 6, 2026
- Updated
- Mar 6, 2026