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calculator_model_test
pwojtas/calculator_model_test
calculator_model_test is a machine learning model from pwojtas. 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 2, 2026
- Updated
- Mar 2, 2026
- SHA
- 0f070083
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: 0.0854
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 |
|---|---|---|---|
| 2.9372 | 1.0 | 6 | 2.2670 |
| 2.0312 | 2.0 | 12 | 1.7752 |
| 1.5891 | 3.0 | 18 | 1.3654 |
| 1.2485 | 4.0 | 24 | 1.1107 |
| 1.0668 | 5.0 | 30 | 1.0103 |
| 0.9308 | 6.0 | 36 | 0.8701 |
| 0.8106 | 7.0 | 42 | 0.7530 |
| 0.7096 | 8.0 | 48 | 0.7189 |
| 0.6817 | 9.0 | 54 | 0.6854 |
| 0.6489 | 10.0 | 60 | 0.6492 |
| 0.6130 | 11.0 | 66 | 0.5677 |
| 0.5748 | 12.0 | 72 | 0.5398 |
| 0.5358 | 13.0 | 78 | 0.5457 |
| 0.5137 | 14.0 | 84 | 0.5096 |
| 0.4751 | 15.0 | 90 | 0.4752 |
| 0.4416 | 16.0 | 96 | 0.4274 |
| 0.4043 | 17.0 | 102 | 0.3834 |
| 0.3843 | 18.0 | 108 | 0.3572 |
| 0.3639 | 19.0 | 114 | 0.3411 |
| 0.3399 | 20.0 | 120 | 0.3274 |
| 0.3107 | 21.0 | 126 | 0.2839 |
| 0.2773 | 22.0 | 132 | 0.2631 |
| 0.2583 | 23.0 | 138 | 0.2441 |
| 0.2466 | 24.0 | 144 | 0.2110 |
| 0.2229 | 25.0 | 150 | 0.1905 |
| 0.2093 | 26.0 | 156 | 0.1869 |
| 0.2033 | 27.0 | 162 | 0.1731 |
| 0.1819 | 28.0 | 168 | 0.1634 |
| 0.1751 | 29.0 | 174 | 0.1435 |
| 0.1590 | 30.0 | 180 | 0.1256 |
| 0.1545 | 31.0 | 186 | 0.1279 |
| 0.1409 | 32.0 | 192 | 0.1184 |
| 0.1319 | 33.0 | 198 | 0.1073 |
| 0.1222 | 34.0 | 204 | 0.1036 |
| 0.1270 | 35.0 | 210 | 0.0979 |
| 0.1177 | 36.0 | 216 | 0.0943 |
| 0.1176 | 37.0 | 222 | 0.0900 |
| 0.1087 | 38.0 | 228 | 0.0880 |
| 0.1039 | 39.0 | 234 | 0.0862 |
| 0.1047 | 40.0 | 240 | 0.0854 |
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 2, 2026
- Updated
- Mar 2, 2026