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calculator_model_test_with_steps
kuzmajan/calculator_model_test_with_steps
calculator_model_test_with_steps is a machine learning model from kuzmajan. 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 21, 2026
- SHA
- 3188831c
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_with_steps
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0782
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 |
|---|---|---|---|
| 2.3166 | 1.0 | 6 | 1.7843 |
| 1.6117 | 2.0 | 12 | 1.4283 |
| 1.3630 | 3.0 | 18 | 1.2932 |
| 1.2278 | 4.0 | 24 | 1.1252 |
| 1.0568 | 5.0 | 30 | 0.9816 |
| 0.9235 | 6.0 | 36 | 0.8970 |
| 0.8544 | 7.0 | 42 | 0.8140 |
| 0.7859 | 8.0 | 48 | 0.7258 |
| 0.7176 | 9.0 | 54 | 0.6732 |
| 0.6560 | 10.0 | 60 | 0.6337 |
| 0.6114 | 11.0 | 66 | 0.5447 |
| 0.5682 | 12.0 | 72 | 0.4996 |
| 0.5219 | 13.0 | 78 | 0.5244 |
| 0.5037 | 14.0 | 84 | 0.4369 |
| 0.4572 | 15.0 | 90 | 0.4172 |
| 0.4312 | 16.0 | 96 | 0.3730 |
| 0.3958 | 17.0 | 102 | 0.3966 |
| 0.4204 | 18.0 | 108 | 0.3818 |
| 0.3960 | 19.0 | 114 | 0.3489 |
| 0.3695 | 20.0 | 120 | 0.3186 |
| 0.3458 | 21.0 | 126 | 0.3016 |
| 0.3137 | 22.0 | 132 | 0.2860 |
| 0.3133 | 23.0 | 138 | 0.2519 |
| 0.2819 | 24.0 | 144 | 0.2399 |
| 0.2685 | 25.0 | 150 | 0.2222 |
| 0.2570 | 26.0 | 156 | 0.1930 |
| 0.2389 | 27.0 | 162 | 0.2000 |
| 0.2348 | 28.0 | 168 | 0.1874 |
| 0.2193 | 29.0 | 174 | 0.1636 |
| 0.2052 | 30.0 | 180 | 0.1454 |
| 0.2008 | 31.0 | 186 | 0.1367 |
| 0.1890 | 32.0 | 192 | 0.1380 |
| 0.1886 | 33.0 | 198 | 0.1192 |
| 0.1737 | 34.0 | 204 | 0.1071 |
| 0.1589 | 35.0 | 210 | 0.1030 |
| 0.1528 | 36.0 | 216 | 0.0939 |
| 0.1415 | 37.0 | 222 | 0.0864 |
| 0.1417 | 38.0 | 228 | 0.0842 |
| 0.1282 | 39.0 | 234 | 0.0804 |
| 0.1318 | 40.0 | 240 | 0.0782 |
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 21, 2026