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calculator_model_test
olatyszka/calculator_model_test
calculator_model_test is a machine learning model from olatyszka. 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 26, 2026
- SHA
- 27f01a7b
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: 0.0652
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 |
|---|---|---|---|
| 2.9455 | 1.0 | 5 | 2.0822 |
| 1.8943 | 2.0 | 10 | 1.6374 |
| 1.5309 | 3.0 | 15 | 1.3630 |
| 1.2901 | 4.0 | 20 | 1.1525 |
| 1.0707 | 5.0 | 25 | 0.9432 |
| 0.9185 | 6.0 | 30 | 0.8454 |
| 0.8187 | 7.0 | 35 | 0.7501 |
| 0.7215 | 8.0 | 40 | 0.6560 |
| 0.6404 | 9.0 | 45 | 0.5970 |
| 0.5953 | 10.0 | 50 | 0.5479 |
| 0.5476 | 11.0 | 55 | 0.5130 |
| 0.5134 | 12.0 | 60 | 0.4796 |
| 0.4773 | 13.0 | 65 | 0.4578 |
| 0.4509 | 14.0 | 70 | 0.4150 |
| 0.4219 | 15.0 | 75 | 0.3884 |
| 0.3962 | 16.0 | 80 | 0.3658 |
| 0.3700 | 17.0 | 85 | 0.3397 |
| 0.3504 | 18.0 | 90 | 0.3145 |
| 0.3254 | 19.0 | 95 | 0.2937 |
| 0.3058 | 20.0 | 100 | 0.2701 |
| 0.2856 | 21.0 | 105 | 0.2564 |
| 0.2637 | 22.0 | 110 | 0.2273 |
| 0.2426 | 23.0 | 115 | 0.2088 |
| 0.2264 | 24.0 | 120 | 0.1859 |
| 0.2062 | 25.0 | 125 | 0.1618 |
| 0.1867 | 26.0 | 130 | 0.1333 |
| 0.1655 | 27.0 | 135 | 0.1178 |
| 0.1550 | 28.0 | 140 | 0.1166 |
| 0.1431 | 29.0 | 145 | 0.1050 |
| 0.1325 | 30.0 | 150 | 0.0944 |
| 0.1235 | 31.0 | 155 | 0.0880 |
| 0.1156 | 32.0 | 160 | 0.0855 |
| 0.1110 | 33.0 | 165 | 0.0805 |
| 0.1057 | 34.0 | 170 | 0.0745 |
| 0.1042 | 35.0 | 175 | 0.0722 |
| 0.0986 | 36.0 | 180 | 0.0710 |
| 0.0970 | 37.0 | 185 | 0.0672 |
| 0.0952 | 38.0 | 190 | 0.0666 |
| 0.0926 | 39.0 | 195 | 0.0655 |
| 0.0935 | 40.0 | 200 | 0.0652 |
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 26, 2026