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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: 0.0086
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7015 | 1.0 | 6 | 2.0207 |
| 1.7126 | 2.0 | 12 | 1.2868 |
| 1.1107 | 3.0 | 18 | 0.9127 |
| 0.8465 | 4.0 | 24 | 0.7797 |
| 0.749 | 5.0 | 30 | 0.7586 |
| 0.71 | 6.0 | 36 | 0.6566 |
| 0.6332 | 7.0 | 42 | 0.6026 |
| 0.5757 | 8.0 | 48 | 0.5232 |
| 0.5054 | 9.0 | 54 | 0.4744 |
| 0.4469 | 10.0 | 60 | 0.3915 |
| 0.3736 | 11.0 | 66 | 0.3214 |
| 0.314 | 12.0 | 72 | 0.2855 |
| 0.282 | 13.0 | 78 | 0.2260 |
| 0.2234 | 14.0 | 84 | 0.2077 |
| 0.2157 | 15.0 | 90 | 0.1623 |
| 0.1647 | 16.0 | 96 | 0.1344 |
| 0.1505 | 17.0 | 102 | 0.1246 |
| 0.1342 | 18.0 | 108 | 0.1086 |
| 0.1104 | 19.0 | 114 | 0.0998 |
| 0.098 | 20.0 | 120 | 0.0788 |
| 0.0829 | 21.0 | 126 | 0.0575 |
| 0.0706 | 22.0 | 132 | 0.0496 |
| 0.0639 | 23.0 | 138 | 0.0425 |
| 0.0544 | 24.0 | 144 | 0.0352 |
| 0.0478 | 25.0 | 150 | 0.0316 |
| 0.0435 | 26.0 | 156 | 0.0255 |
| 0.0368 | 27.0 | 162 | 0.0237 |
| 0.0314 | 28.0 | 168 | 0.0215 |
| 0.0313 | 29.0 | 174 | 0.0175 |
| 0.0281 | 30.0 | 180 | 0.0157 |
| 0.0319 | 31.0 | 186 | 0.0132 |
| 0.0235 | 32.0 | 192 | 0.0117 |
| 0.0207 | 33.0 | 198 | 0.0112 |
| 0.0178 | 34.0 | 204 | 0.0104 |
| 0.0184 | 35.0 | 210 | 0.0098 |
| 0.0176 | 36.0 | 216 | 0.0092 |
| 0.0161 | 37.0 | 222 | 0.0092 |
| 0.0167 | 38.0 | 228 | 0.0090 |
| 0.0154 | 39.0 | 234 | 0.0087 |
| 0.0155 | 40.0 | 240 | 0.0086 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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