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calculator_model_test
macbeeth/calculator_model_test
calculator_model_test is a machine learning model from macbeeth. 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
- 3a4a4f94
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: 2.4280
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 |
|---|---|---|---|
| 2.9289 | 1.0 | 6 | 2.2631 |
| 2.0248 | 2.0 | 12 | 1.8559 |
| 1.6028 | 3.0 | 18 | 1.7034 |
| 1.2773 | 4.0 | 24 | 1.6626 |
| 1.0862 | 5.0 | 30 | 1.6454 |
| 0.9687 | 6.0 | 36 | 1.8670 |
| 0.8858 | 7.0 | 42 | 1.8190 |
| 0.7782 | 8.0 | 48 | 2.0888 |
| 0.7379 | 9.0 | 54 | 2.1530 |
| 0.7093 | 10.0 | 60 | 2.1941 |
| 0.6654 | 11.0 | 66 | 2.0807 |
| 0.6296 | 12.0 | 72 | 2.1993 |
| 0.5963 | 13.0 | 78 | 2.2719 |
| 0.5661 | 14.0 | 84 | 2.2821 |
| 0.5392 | 15.0 | 90 | 2.2940 |
| 0.5209 | 16.0 | 96 | 2.3435 |
| 0.4862 | 17.0 | 102 | 2.3659 |
| 0.4886 | 18.0 | 108 | 2.4129 |
| 0.4668 | 19.0 | 114 | 2.5027 |
| 0.4577 | 20.0 | 120 | 2.5144 |
| 0.4426 | 21.0 | 126 | 2.4393 |
| 0.4198 | 22.0 | 132 | 2.4533 |
| 0.4200 | 23.0 | 138 | 2.4996 |
| 0.3980 | 24.0 | 144 | 2.4961 |
| 0.3715 | 25.0 | 150 | 2.4773 |
| 0.3642 | 26.0 | 156 | 2.4326 |
| 0.3530 | 27.0 | 162 | 2.4626 |
| 0.3300 | 28.0 | 168 | 2.4540 |
| 0.3190 | 29.0 | 174 | 2.4593 |
| 0.3125 | 30.0 | 180 | 2.4535 |
| 0.3008 | 31.0 | 186 | 2.4917 |
| 0.2989 | 32.0 | 192 | 2.4753 |
| 0.2802 | 33.0 | 198 | 2.4765 |
| 0.2677 | 34.0 | 204 | 2.4505 |
| 0.2569 | 35.0 | 210 | 2.4462 |
| 0.2535 | 36.0 | 216 | 2.4243 |
| 0.2586 | 37.0 | 222 | 2.4185 |
| 0.2421 | 38.0 | 228 | 2.4217 |
| 0.2463 | 39.0 | 234 | 2.4261 |
| 0.2430 | 40.0 | 240 | 2.4280 |
Framework versions
- Transformers 5.2.0
- Pytorch 2.10.0
- Datasets 4.6.1
- Tokenizers 0.22.2
- Library
- transformers
- Type
- encoder-decoder
- Created
- Mar 3, 2026
- Updated
- Mar 3, 2026