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calculator_model_test
piotrbar250/calculator_model_test
calculator_model_test is a machine learning model from piotrbar250. 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
- 8c642d0c
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: 0.7290
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 |
|---|---|---|---|
| 3.0133 | 1.0 | 6 | 2.2590 |
| 2.008 | 2.0 | 12 | 1.7059 |
| 1.548 | 3.0 | 18 | 1.4082 |
| 1.2527 | 4.0 | 24 | 1.0746 |
| 1.0272 | 5.0 | 30 | 0.9517 |
| 0.8724 | 6.0 | 36 | 0.8435 |
| 0.7908 | 7.0 | 42 | 0.7824 |
| 0.7088 | 8.0 | 48 | 0.7619 |
| 0.6489 | 9.0 | 54 | 0.7522 |
| 0.596 | 10.0 | 60 | 0.7539 |
| 0.5572 | 11.0 | 66 | 0.7119 |
| 0.5232 | 12.0 | 72 | 0.7161 |
| 0.4798 | 13.0 | 78 | 0.7047 |
| 0.4341 | 14.0 | 84 | 0.7528 |
| 0.4263 | 15.0 | 90 | 0.6681 |
| 0.3977 | 16.0 | 96 | 0.7356 |
| 0.3748 | 17.0 | 102 | 0.7377 |
| 0.3609 | 18.0 | 108 | 0.7455 |
| 0.3287 | 19.0 | 114 | 0.7199 |
| 0.3114 | 20.0 | 120 | 0.7666 |
| 0.2855 | 21.0 | 126 | 0.6954 |
| 0.2664 | 22.0 | 132 | 0.7641 |
| 0.258 | 23.0 | 138 | 0.7126 |
| 0.2414 | 24.0 | 144 | 0.7327 |
| 0.2281 | 25.0 | 150 | 0.6886 |
| 0.2108 | 26.0 | 156 | 0.6910 |
| 0.1933 | 27.0 | 162 | 0.7081 |
| 0.1907 | 28.0 | 168 | 0.7257 |
| 0.1827 | 29.0 | 174 | 0.7252 |
| 0.167 | 30.0 | 180 | 0.7151 |
| 0.1562 | 31.0 | 186 | 0.7102 |
| 0.1473 | 32.0 | 192 | 0.7296 |
| 0.149 | 33.0 | 198 | 0.6922 |
| 0.1413 | 34.0 | 204 | 0.7064 |
| 0.1265 | 35.0 | 210 | 0.7110 |
| 0.1235 | 36.0 | 216 | 0.7212 |
| 0.1156 | 37.0 | 222 | 0.7290 |
| 0.1141 | 38.0 | 228 | 0.7200 |
| 0.1099 | 39.0 | 234 | 0.7263 |
| 0.1071 | 40.0 | 240 | 0.7290 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.1
- Datasets 4.6.1
- Tokenizers 0.22.2
- Library
- transformers
- Type
- encoder-decoder
- Created
- Mar 2, 2026
- Updated
- Mar 2, 2026