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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: 0.1268
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9786 | 1.0 | 6 | 2.2468 |
| 2.0116 | 2.0 | 12 | 1.7255 |
| 1.5628 | 3.0 | 18 | 1.3183 |
| 1.2273 | 4.0 | 24 | 1.0790 |
| 1.0219 | 5.0 | 30 | 0.9549 |
| 0.9147 | 6.0 | 36 | 0.8300 |
| 0.7993 | 7.0 | 42 | 0.7326 |
| 0.7256 | 8.0 | 48 | 0.7028 |
| 0.6677 | 9.0 | 54 | 0.6345 |
| 0.6369 | 10.0 | 60 | 0.5926 |
| 0.5883 | 11.0 | 66 | 0.5722 |
| 0.5506 | 12.0 | 72 | 0.5835 |
| 0.5504 | 13.0 | 78 | 0.5491 |
| 0.5232 | 14.0 | 84 | 0.5165 |
| 0.4977 | 15.0 | 90 | 0.4719 |
| 0.4754 | 16.0 | 96 | 0.4910 |
| 0.4706 | 17.0 | 102 | 0.4623 |
| 0.4659 | 18.0 | 108 | 0.4202 |
| 0.4186 | 19.0 | 114 | 0.3720 |
| 0.385 | 20.0 | 120 | 0.3768 |
| 0.3692 | 21.0 | 126 | 0.3751 |
| 0.3775 | 22.0 | 132 | 0.3508 |
| 0.3359 | 23.0 | 138 | 0.3427 |
| 0.3412 | 24.0 | 144 | 0.3015 |
| 0.3128 | 25.0 | 150 | 0.2826 |
| 0.2892 | 26.0 | 156 | 0.2688 |
| 0.28 | 27.0 | 162 | 0.2512 |
| 0.2653 | 28.0 | 168 | 0.2385 |
| 0.255 | 29.0 | 174 | 0.2275 |
| 0.249 | 30.0 | 180 | 0.2108 |
| 0.2316 | 31.0 | 186 | 0.1894 |
| 0.2184 | 32.0 | 192 | 0.1777 |
| 0.2057 | 33.0 | 198 | 0.1644 |
| 0.186 | 34.0 | 204 | 0.1527 |
| 0.1853 | 35.0 | 210 | 0.1484 |
| 0.1721 | 36.0 | 216 | 0.1380 |
| 0.165 | 37.0 | 222 | 0.1336 |
| 0.1544 | 38.0 | 228 | 0.1299 |
| 0.153 | 39.0 | 234 | 0.1288 |
| 0.158 | 40.0 | 240 | 0.1268 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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