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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: 0.7408
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4176 | 1.0 | 6 | 2.8127 |
| 2.4296 | 2.0 | 12 | 2.0690 |
| 1.8443 | 3.0 | 18 | 1.6885 |
| 1.6666 | 4.0 | 24 | 1.5769 |
| 1.5906 | 5.0 | 30 | 1.5903 |
| 1.5582 | 6.0 | 36 | 1.5658 |
| 1.5621 | 7.0 | 42 | 1.5468 |
| 1.5217 | 8.0 | 48 | 1.5043 |
| 1.4893 | 9.0 | 54 | 1.4836 |
| 1.4929 | 10.0 | 60 | 1.4403 |
| 1.4309 | 11.0 | 66 | 1.4263 |
| 1.4353 | 12.0 | 72 | 1.3740 |
| 1.3626 | 13.0 | 78 | 1.2495 |
| 1.2713 | 14.0 | 84 | 1.2969 |
| 1.2557 | 15.0 | 90 | 1.2570 |
| 1.2188 | 16.0 | 96 | 1.1866 |
| 1.1469 | 17.0 | 102 | 1.1291 |
| 1.1023 | 18.0 | 108 | 1.0906 |
| 1.0688 | 19.0 | 114 | 1.0346 |
| 1.0314 | 20.0 | 120 | 1.1635 |
| 1.0971 | 21.0 | 126 | 1.1421 |
| 1.0944 | 22.0 | 132 | 0.9807 |
| 1.0208 | 23.0 | 138 | 1.0720 |
| 1.0365 | 24.0 | 144 | 0.9644 |
| 0.97 | 25.0 | 150 | 0.9323 |
| 0.9316 | 26.0 | 156 | 0.8888 |
| 0.9112 | 27.0 | 162 | 0.9156 |
| 0.8913 | 28.0 | 168 | 0.9113 |
| 0.8733 | 29.0 | 174 | 0.8876 |
| 0.8755 | 30.0 | 180 | 0.8725 |
| 0.8578 | 31.0 | 186 | 0.8051 |
| 0.8409 | 32.0 | 192 | 0.8311 |
| 0.8363 | 33.0 | 198 | 0.7970 |
| 0.803 | 34.0 | 204 | 0.7995 |
| 0.8088 | 35.0 | 210 | 0.7723 |
| 0.7882 | 36.0 | 216 | 0.7635 |
| 0.7851 | 37.0 | 222 | 0.7551 |
| 0.7775 | 38.0 | 228 | 0.7460 |
| 0.7979 | 39.0 | 234 | 0.7429 |
| 0.7852 | 40.0 | 240 | 0.7408 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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