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---
base_model: LordAbsurd2137/calculator_model_test2
tags:
- generated_from_trainer
model-index:
- name: calculator_model_test2
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_test2
This model is a fine-tuned version of [LordAbsurd2137/calculator_model_test2](https://huggingface.co/LordAbsurd2137/calculator_model_test2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0222
## 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: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0953 | 1.0 | 6 | 0.6430 |
| 0.5025 | 2.0 | 12 | 0.4289 |
| 0.3633 | 3.0 | 18 | 0.3352 |
| 0.3426 | 4.0 | 24 | 0.2911 |
| 0.284 | 5.0 | 30 | 0.2464 |
| 0.2408 | 6.0 | 36 | 0.1998 |
| 0.2168 | 7.0 | 42 | 0.1874 |
| 0.1815 | 8.0 | 48 | 0.1592 |
| 0.1684 | 9.0 | 54 | 0.1547 |
| 0.1604 | 10.0 | 60 | 0.1707 |
| 0.1603 | 11.0 | 66 | 0.1516 |
| 0.1498 | 12.0 | 72 | 0.1220 |
| 0.1307 | 13.0 | 78 | 0.1079 |
| 0.1154 | 14.0 | 84 | 0.1270 |
| 0.1157 | 15.0 | 90 | 0.0997 |
| 0.1038 | 16.0 | 96 | 0.0919 |
| 0.1005 | 17.0 | 102 | 0.1005 |
| 0.097 | 18.0 | 108 | 0.1103 |
| 0.1019 | 19.0 | 114 | 0.1285 |
| 0.1067 | 20.0 | 120 | 0.1202 |
| 0.0995 | 21.0 | 126 | 0.0810 |
| 0.0799 | 22.0 | 132 | 0.0774 |
| 0.0723 | 23.0 | 138 | 0.0678 |
| 0.0656 | 24.0 | 144 | 0.0655 |
| 0.0666 | 25.0 | 150 | 0.0637 |
| 0.0606 | 26.0 | 156 | 0.0541 |
| 0.0562 | 27.0 | 162 | 0.0497 |
| 0.0524 | 28.0 | 168 | 0.0519 |
| 0.0556 | 29.0 | 174 | 0.0616 |
| 0.0584 | 30.0 | 180 | 0.0448 |
| 0.0496 | 31.0 | 186 | 0.0451 |
| 0.0484 | 32.0 | 192 | 0.0413 |
| 0.0454 | 33.0 | 198 | 0.0444 |
| 0.0411 | 34.0 | 204 | 0.0423 |
| 0.0395 | 35.0 | 210 | 0.0376 |
| 0.0383 | 36.0 | 216 | 0.0358 |
| 0.0373 | 37.0 | 222 | 0.0326 |
| 0.035 | 38.0 | 228 | 0.0286 |
| 0.0323 | 39.0 | 234 | 0.0307 |
| 0.0306 | 40.0 | 240 | 0.0279 |
| 0.029 | 41.0 | 246 | 0.0265 |
| 0.0296 | 42.0 | 252 | 0.0259 |
| 0.0263 | 43.0 | 258 | 0.0259 |
| 0.0244 | 44.0 | 264 | 0.0232 |
| 0.0264 | 45.0 | 270 | 0.0234 |
| 0.0263 | 46.0 | 276 | 0.0226 |
| 0.0223 | 47.0 | 282 | 0.0227 |
| 0.0225 | 48.0 | 288 | 0.0224 |
| 0.0218 | 49.0 | 294 | 0.0222 |
| 0.0216 | 50.0 | 300 | 0.0222 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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