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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: 0.0824
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9085 | 1.0 | 6 | 2.2339 |
| 1.9955 | 2.0 | 12 | 1.7507 |
| 1.5891 | 3.0 | 18 | 1.3630 |
| 1.221 | 4.0 | 24 | 1.0757 |
| 1.0321 | 5.0 | 30 | 0.9606 |
| 0.9056 | 6.0 | 36 | 0.8336 |
| 0.8119 | 7.0 | 42 | 0.7754 |
| 0.7251 | 8.0 | 48 | 0.7105 |
| 0.679 | 9.0 | 54 | 0.6689 |
| 0.6367 | 10.0 | 60 | 0.6193 |
| 0.5903 | 11.0 | 66 | 0.5498 |
| 0.5423 | 12.0 | 72 | 0.5078 |
| 0.5121 | 13.0 | 78 | 0.5079 |
| 0.4916 | 14.0 | 84 | 0.4614 |
| 0.4659 | 15.0 | 90 | 0.4271 |
| 0.4173 | 16.0 | 96 | 0.4071 |
| 0.3995 | 17.0 | 102 | 0.3885 |
| 0.3809 | 18.0 | 108 | 0.3586 |
| 0.3564 | 19.0 | 114 | 0.3231 |
| 0.3277 | 20.0 | 120 | 0.3317 |
| 0.3156 | 21.0 | 126 | 0.3146 |
| 0.3124 | 22.0 | 132 | 0.3063 |
| 0.2829 | 23.0 | 138 | 0.2604 |
| 0.2624 | 24.0 | 144 | 0.2385 |
| 0.2431 | 25.0 | 150 | 0.2421 |
| 0.23 | 26.0 | 156 | 0.1983 |
| 0.1995 | 27.0 | 162 | 0.1716 |
| 0.1857 | 28.0 | 168 | 0.1565 |
| 0.1654 | 29.0 | 174 | 0.1325 |
| 0.1477 | 30.0 | 180 | 0.1246 |
| 0.1489 | 31.0 | 186 | 0.1188 |
| 0.1352 | 32.0 | 192 | 0.1075 |
| 0.1232 | 33.0 | 198 | 0.1017 |
| 0.1205 | 34.0 | 204 | 0.0963 |
| 0.1125 | 35.0 | 210 | 0.0912 |
| 0.1149 | 36.0 | 216 | 0.0903 |
| 0.1081 | 37.0 | 222 | 0.0903 |
| 0.1069 | 38.0 | 228 | 0.0851 |
| 0.1046 | 39.0 | 234 | 0.0828 |
| 0.0996 | 40.0 | 240 | 0.0824 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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