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calculator_model_test
agawrysiak/calculator_model_test
calculator_model_test is a machine learning model from agawrysiak. 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 3, 2026
- Updated
- Mar 3, 2026
- SHA
- 6d11d0cd
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: 0.9541
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: 0.0001
- 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 |
|---|---|---|---|
| 3.6580 | 1.0 | 6 | 3.2453 |
| 3.1079 | 2.0 | 12 | 2.8981 |
| 2.8039 | 3.0 | 18 | 2.6629 |
| 2.6131 | 4.0 | 24 | 2.5056 |
| 2.4617 | 5.0 | 30 | 2.3752 |
| 2.3350 | 6.0 | 36 | 2.2642 |
| 2.2296 | 7.0 | 42 | 2.1748 |
| 2.1459 | 8.0 | 48 | 2.0943 |
| 2.0633 | 9.0 | 54 | 2.0142 |
| 1.9671 | 10.0 | 60 | 1.9194 |
| 1.8781 | 11.0 | 66 | 1.8104 |
| 1.7735 | 12.0 | 72 | 1.6989 |
| 1.6788 | 13.0 | 78 | 1.6040 |
| 1.5891 | 14.0 | 84 | 1.5262 |
| 1.5152 | 15.0 | 90 | 1.4682 |
| 1.4592 | 16.0 | 96 | 1.4185 |
| 1.4132 | 17.0 | 102 | 1.3766 |
| 1.3728 | 18.0 | 108 | 1.3385 |
| 1.3356 | 19.0 | 114 | 1.3063 |
| 1.3025 | 20.0 | 120 | 1.2722 |
| 1.2656 | 21.0 | 126 | 1.2434 |
| 1.2433 | 22.0 | 132 | 1.2168 |
| 1.2150 | 23.0 | 138 | 1.1880 |
| 1.1891 | 24.0 | 144 | 1.1642 |
| 1.1656 | 25.0 | 150 | 1.1414 |
| 1.1386 | 26.0 | 156 | 1.1177 |
| 1.1159 | 27.0 | 162 | 1.0988 |
| 1.0934 | 28.0 | 168 | 1.0751 |
| 1.0739 | 29.0 | 174 | 1.0548 |
| 1.0619 | 30.0 | 180 | 1.0354 |
| 1.0372 | 31.0 | 186 | 1.0206 |
| 1.0235 | 32.0 | 192 | 1.0072 |
| 1.0175 | 33.0 | 198 | 0.9949 |
| 1.0034 | 34.0 | 204 | 0.9841 |
| 0.9859 | 35.0 | 210 | 0.9759 |
| 0.9895 | 36.0 | 216 | 0.9683 |
| 0.9779 | 37.0 | 222 | 0.9622 |
| 0.9706 | 38.0 | 228 | 0.9574 |
| 0.9735 | 39.0 | 234 | 0.9549 |
| 0.9607 | 40.0 | 240 | 0.9541 |
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 3, 2026
- Updated
- Mar 3, 2026