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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: 1.0657
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3733 | 1.0 | 6 | 2.7350 |
| 2.3614 | 2.0 | 12 | 1.9851 |
| 1.8438 | 3.0 | 18 | 1.7312 |
| 1.6535 | 4.0 | 24 | 1.6088 |
| 1.556 | 5.0 | 30 | 1.5621 |
| 1.5454 | 6.0 | 36 | 1.5615 |
| 1.5344 | 7.0 | 42 | 1.5509 |
| 1.5163 | 8.0 | 48 | 1.5509 |
| 1.5795 | 9.0 | 54 | 1.5492 |
| 1.519 | 10.0 | 60 | 1.5516 |
| 1.5289 | 11.0 | 66 | 1.5473 |
| 1.5264 | 12.0 | 72 | 1.5323 |
| 1.5076 | 13.0 | 78 | 1.5388 |
| 1.5205 | 14.0 | 84 | 1.5447 |
| 1.5105 | 15.0 | 90 | 1.5423 |
| 1.498 | 16.0 | 96 | 1.4954 |
| 1.4573 | 17.0 | 102 | 1.5017 |
| 1.4452 | 18.0 | 108 | 1.5393 |
| 1.4651 | 19.0 | 114 | 1.5054 |
| 1.4528 | 20.0 | 120 | 1.4949 |
| 1.45 | 21.0 | 126 | 1.6039 |
| 1.4467 | 22.0 | 132 | 1.4438 |
| 1.4036 | 23.0 | 138 | 1.4237 |
| 1.3715 | 24.0 | 144 | 1.3951 |
| 1.3506 | 25.0 | 150 | 1.3801 |
| 1.3416 | 26.0 | 156 | 1.3267 |
| 1.3117 | 27.0 | 162 | 1.3218 |
| 1.276 | 28.0 | 168 | 1.2940 |
| 1.2426 | 29.0 | 174 | 1.2387 |
| 1.2274 | 30.0 | 180 | 1.2127 |
| 1.2014 | 31.0 | 186 | 1.1931 |
| 1.1727 | 32.0 | 192 | 1.1761 |
| 1.1874 | 33.0 | 198 | 1.1635 |
| 1.1474 | 34.0 | 204 | 1.1329 |
| 1.1365 | 35.0 | 210 | 1.1083 |
| 1.138 | 36.0 | 216 | 1.0891 |
| 1.1015 | 37.0 | 222 | 1.0833 |
| 1.0828 | 38.0 | 228 | 1.0779 |
| 1.0941 | 39.0 | 234 | 1.0689 |
| 1.0738 | 40.0 | 240 | 1.0657 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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