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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: 0.5850
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.396 | 1.0 | 6 | 2.7406 |
| 2.3939 | 2.0 | 12 | 1.9948 |
| 1.7939 | 3.0 | 18 | 1.6558 |
| 1.5985 | 4.0 | 24 | 1.6015 |
| 1.6024 | 5.0 | 30 | 1.5540 |
| 1.5383 | 6.0 | 36 | 1.5356 |
| 1.4729 | 7.0 | 42 | 1.5437 |
| 1.4981 | 8.0 | 48 | 1.4425 |
| 1.3622 | 9.0 | 54 | 1.4418 |
| 1.3585 | 10.0 | 60 | 1.3501 |
| 1.2883 | 11.0 | 66 | 1.2932 |
| 1.2361 | 12.0 | 72 | 1.3210 |
| 1.2274 | 13.0 | 78 | 1.2883 |
| 1.2667 | 14.0 | 84 | 1.2169 |
| 1.1679 | 15.0 | 90 | 1.1638 |
| 1.1237 | 16.0 | 96 | 1.1617 |
| 1.144 | 17.0 | 102 | 1.0919 |
| 1.0771 | 18.0 | 108 | 1.0928 |
| 1.059 | 19.0 | 114 | 1.0184 |
| 1.0024 | 20.0 | 120 | 0.9676 |
| 0.9949 | 21.0 | 126 | 0.9555 |
| 0.986 | 22.0 | 132 | 1.0286 |
| 1.0278 | 23.0 | 138 | 0.9337 |
| 0.9413 | 24.0 | 144 | 0.9162 |
| 0.912 | 25.0 | 150 | 0.9396 |
| 0.9621 | 26.0 | 156 | 0.8786 |
| 0.9102 | 27.0 | 162 | 0.8947 |
| 0.9384 | 28.0 | 168 | 0.8820 |
| 0.868 | 29.0 | 174 | 0.8468 |
| 0.8512 | 30.0 | 180 | 0.8478 |
| 0.8302 | 31.0 | 186 | 0.8099 |
| 0.8327 | 32.0 | 192 | 0.7622 |
| 0.8193 | 33.0 | 198 | 0.7596 |
| 0.7834 | 34.0 | 204 | 0.7329 |
| 0.7608 | 35.0 | 210 | 0.7229 |
| 0.7686 | 36.0 | 216 | 0.7257 |
| 0.7262 | 37.0 | 222 | 0.6940 |
| 0.7342 | 38.0 | 228 | 0.7117 |
| 0.7209 | 39.0 | 234 | 0.6646 |
| 0.7099 | 40.0 | 240 | 0.6530 |
| 0.6908 | 41.0 | 246 | 0.6397 |
| 0.6895 | 42.0 | 252 | 0.6356 |
| 0.6761 | 43.0 | 258 | 0.6202 |
| 0.668 | 44.0 | 264 | 0.6174 |
| 0.6735 | 45.0 | 270 | 0.6074 |
| 0.6502 | 46.0 | 276 | 0.6019 |
| 0.6427 | 47.0 | 282 | 0.5953 |
| 0.6326 | 48.0 | 288 | 0.5904 |
| 0.6467 | 49.0 | 294 | 0.5872 |
| 0.6307 | 50.0 | 300 | 0.5850 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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