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calculator_model_test
klapinski/calculator_model_test
calculator_model_test is a machine learning model from klapinski. 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
- 04bec4b6
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: 1.5025
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 |
|---|---|---|---|
| 3.4213 | 1.0 | 6 | 2.7742 |
| 2.3873 | 2.0 | 12 | 1.9848 |
| 1.8855 | 3.0 | 18 | 1.6983 |
| 1.6818 | 4.0 | 24 | 1.5908 |
| 1.5942 | 5.0 | 30 | 1.5682 |
| 1.5581 | 6.0 | 36 | 1.5332 |
| 1.5573 | 7.0 | 42 | 1.5375 |
| 1.5423 | 8.0 | 48 | 1.5241 |
| 1.5435 | 9.0 | 54 | 1.5207 |
| 1.5402 | 10.0 | 60 | 1.5169 |
| 1.5330 | 11.0 | 66 | 1.5100 |
| 1.5252 | 12.0 | 72 | 1.5091 |
| 1.5234 | 13.0 | 78 | 1.5080 |
| 1.5284 | 14.0 | 84 | 1.5142 |
| 1.5221 | 15.0 | 90 | 1.5212 |
| 1.5305 | 16.0 | 96 | 1.5103 |
| 1.5199 | 17.0 | 102 | 1.5069 |
| 1.5174 | 18.0 | 108 | 1.5121 |
| 1.5104 | 19.0 | 114 | 1.5072 |
| 1.5197 | 20.0 | 120 | 1.5043 |
| 1.5101 | 21.0 | 126 | 1.5044 |
| 1.5145 | 22.0 | 132 | 1.5040 |
| 1.5226 | 23.0 | 138 | 1.5058 |
| 1.5299 | 24.0 | 144 | 1.5069 |
| 1.5290 | 25.0 | 150 | 1.5061 |
| 1.5070 | 26.0 | 156 | 1.5067 |
| 1.5077 | 27.0 | 162 | 1.5066 |
| 1.5240 | 28.0 | 168 | 1.5030 |
| 1.5344 | 29.0 | 174 | 1.5010 |
| 1.5148 | 30.0 | 180 | 1.5009 |
| 1.5182 | 31.0 | 186 | 1.5029 |
| 1.5158 | 32.0 | 192 | 1.5058 |
| 1.5093 | 33.0 | 198 | 1.5057 |
| 1.5149 | 34.0 | 204 | 1.5037 |
| 1.5098 | 35.0 | 210 | 1.5022 |
| 1.5095 | 36.0 | 216 | 1.5020 |
| 1.5085 | 37.0 | 222 | 1.5021 |
| 1.5091 | 38.0 | 228 | 1.5020 |
| 1.5020 | 39.0 | 234 | 1.5025 |
| 1.5103 | 40.0 | 240 | 1.5025 |
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