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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: 0.2087
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9918 | 1.0 | 6 | 2.3314 |
| 2.1182 | 2.0 | 12 | 1.8298 |
| 1.6911 | 3.0 | 18 | 1.4816 |
| 1.3856 | 4.0 | 24 | 1.2456 |
| 1.1721 | 5.0 | 30 | 1.1107 |
| 1.0415 | 6.0 | 36 | 0.9727 |
| 0.9122 | 7.0 | 42 | 0.8805 |
| 0.8414 | 8.0 | 48 | 0.7747 |
| 0.7661 | 9.0 | 54 | 0.7645 |
| 0.7303 | 10.0 | 60 | 0.6846 |
| 0.683 | 11.0 | 66 | 0.6398 |
| 0.6329 | 12.0 | 72 | 0.6278 |
| 0.6155 | 13.0 | 78 | 0.5686 |
| 0.6154 | 14.0 | 84 | 0.5761 |
| 0.5568 | 15.0 | 90 | 0.5522 |
| 0.5444 | 16.0 | 96 | 0.5564 |
| 0.56 | 17.0 | 102 | 0.5432 |
| 0.5165 | 18.0 | 108 | 0.4867 |
| 0.4824 | 19.0 | 114 | 0.4501 |
| 0.4487 | 20.0 | 120 | 0.4368 |
| 0.4322 | 21.0 | 126 | 0.4188 |
| 0.4173 | 22.0 | 132 | 0.4008 |
| 0.3965 | 23.0 | 138 | 0.3789 |
| 0.3953 | 24.0 | 144 | 0.3752 |
| 0.3627 | 25.0 | 150 | 0.3527 |
| 0.3766 | 26.0 | 156 | 0.3516 |
| 0.3505 | 27.0 | 162 | 0.3362 |
| 0.3441 | 28.0 | 168 | 0.3086 |
| 0.3264 | 29.0 | 174 | 0.3030 |
| 0.3395 | 30.0 | 180 | 0.2783 |
| 0.2908 | 31.0 | 186 | 0.2727 |
| 0.2827 | 32.0 | 192 | 0.2742 |
| 0.2857 | 33.0 | 198 | 0.2503 |
| 0.2779 | 34.0 | 204 | 0.2421 |
| 0.2543 | 35.0 | 210 | 0.2257 |
| 0.2462 | 36.0 | 216 | 0.2232 |
| 0.2421 | 37.0 | 222 | 0.2173 |
| 0.2497 | 38.0 | 228 | 0.2130 |
| 0.2561 | 39.0 | 234 | 0.2095 |
| 0.2407 | 40.0 | 240 | 0.2087 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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