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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: 0.0455
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7845 | 1.0 | 6 | 2.1181 |
| 1.8407 | 2.0 | 12 | 1.5060 |
| 1.2932 | 3.0 | 18 | 1.0056 |
| 0.8986 | 4.0 | 24 | 0.8024 |
| 0.741 | 5.0 | 30 | 0.7078 |
| 0.6482 | 6.0 | 36 | 0.5938 |
| 0.5563 | 7.0 | 42 | 0.5336 |
| 0.498 | 8.0 | 48 | 0.4787 |
| 0.4542 | 9.0 | 54 | 0.4216 |
| 0.4078 | 10.0 | 60 | 0.4064 |
| 0.3819 | 11.0 | 66 | 0.3621 |
| 0.3536 | 12.0 | 72 | 0.3261 |
| 0.318 | 13.0 | 78 | 0.2967 |
| 0.2913 | 14.0 | 84 | 0.2793 |
| 0.2734 | 15.0 | 90 | 0.2498 |
| 0.2549 | 16.0 | 96 | 0.2557 |
| 0.2541 | 17.0 | 102 | 0.2252 |
| 0.2274 | 18.0 | 108 | 0.2301 |
| 0.2272 | 19.0 | 114 | 0.2112 |
| 0.1963 | 20.0 | 120 | 0.1780 |
| 0.1744 | 21.0 | 126 | 0.1734 |
| 0.1805 | 22.0 | 132 | 0.1520 |
| 0.1599 | 23.0 | 138 | 0.1314 |
| 0.1517 | 24.0 | 144 | 0.1364 |
| 0.1469 | 25.0 | 150 | 0.1583 |
| 0.1524 | 26.0 | 156 | 0.1381 |
| 0.1411 | 27.0 | 162 | 0.1048 |
| 0.1196 | 28.0 | 168 | 0.0964 |
| 0.1095 | 29.0 | 174 | 0.0900 |
| 0.1068 | 30.0 | 180 | 0.0798 |
| 0.0985 | 31.0 | 186 | 0.0742 |
| 0.0897 | 32.0 | 192 | 0.0677 |
| 0.0839 | 33.0 | 198 | 0.0638 |
| 0.0756 | 34.0 | 204 | 0.0579 |
| 0.0771 | 35.0 | 210 | 0.0555 |
| 0.0709 | 36.0 | 216 | 0.0507 |
| 0.068 | 37.0 | 222 | 0.0482 |
| 0.0657 | 38.0 | 228 | 0.0472 |
| 0.0661 | 39.0 | 234 | 0.0466 |
| 0.0643 | 40.0 | 240 | 0.0455 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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