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---
tags:
- generated_from_trainer
model-index:
- name: calculator_model_test
results: []
---
<!-- 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 [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1333
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 40
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9526 | 1.0 | 6 | 2.2864 |
| 2.0549 | 2.0 | 12 | 1.7909 |
| 1.6519 | 3.0 | 18 | 1.4416 |
| 1.3484 | 4.0 | 24 | 1.2007 |
| 1.1103 | 5.0 | 30 | 1.0371 |
| 0.9763 | 6.0 | 36 | 0.9188 |
| 0.8829 | 7.0 | 42 | 0.8155 |
| 0.7861 | 8.0 | 48 | 0.7443 |
| 0.733 | 9.0 | 54 | 0.7678 |
| 0.7173 | 10.0 | 60 | 0.6706 |
| 0.6693 | 11.0 | 66 | 0.6274 |
| 0.6285 | 12.0 | 72 | 0.6015 |
| 0.5992 | 13.0 | 78 | 0.5695 |
| 0.5559 | 14.0 | 84 | 0.5178 |
| 0.5266 | 15.0 | 90 | 0.4944 |
| 0.5091 | 16.0 | 96 | 0.4834 |
| 0.5115 | 17.0 | 102 | 0.4531 |
| 0.4719 | 18.0 | 108 | 0.4386 |
| 0.4503 | 19.0 | 114 | 0.4231 |
| 0.4237 | 20.0 | 120 | 0.4014 |
| 0.439 | 21.0 | 126 | 0.4088 |
| 0.3869 | 22.0 | 132 | 0.3689 |
| 0.3628 | 23.0 | 138 | 0.3634 |
| 0.3625 | 24.0 | 144 | 0.3437 |
| 0.3284 | 25.0 | 150 | 0.3134 |
| 0.3139 | 26.0 | 156 | 0.2997 |
| 0.3062 | 27.0 | 162 | 0.2816 |
| 0.2978 | 28.0 | 168 | 0.2593 |
| 0.2754 | 29.0 | 174 | 0.2343 |
| 0.2443 | 30.0 | 180 | 0.2220 |
| 0.2433 | 31.0 | 186 | 0.2064 |
| 0.2232 | 32.0 | 192 | 0.1869 |
| 0.2157 | 33.0 | 198 | 0.1824 |
| 0.2129 | 34.0 | 204 | 0.1657 |
| 0.1871 | 35.0 | 210 | 0.1605 |
| 0.1836 | 36.0 | 216 | 0.1520 |
| 0.1816 | 37.0 | 222 | 0.1456 |
| 0.1652 | 38.0 | 228 | 0.1377 |
| 0.1903 | 39.0 | 234 | 0.1338 |
| 0.1713 | 40.0 | 240 | 0.1333 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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