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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: 0.6527
## 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
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6778 | 1.0 | 6 | 3.1191 |
| 2.7094 | 2.0 | 12 | 2.1966 |
| 1.9597 | 3.0 | 18 | 1.7446 |
| 1.7331 | 4.0 | 24 | 1.6583 |
| 1.5938 | 5.0 | 30 | 1.6425 |
| 1.5338 | 6.0 | 36 | 1.5592 |
| 1.5077 | 7.0 | 42 | 1.5055 |
| 1.4896 | 8.0 | 48 | 1.4880 |
| 1.4419 | 9.0 | 54 | 1.4727 |
| 1.4062 | 10.0 | 60 | 1.3960 |
| 1.3459 | 11.0 | 66 | 1.3129 |
| 1.2961 | 12.0 | 72 | 1.3037 |
| 1.2268 | 13.0 | 78 | 1.2964 |
| 1.2251 | 14.0 | 84 | 1.1677 |
| 1.1559 | 15.0 | 90 | 1.1312 |
| 1.1157 | 16.0 | 96 | 1.1714 |
| 1.1385 | 17.0 | 102 | 1.1348 |
| 1.0996 | 18.0 | 108 | 1.1113 |
| 1.0407 | 19.0 | 114 | 0.9871 |
| 0.9734 | 20.0 | 120 | 0.9324 |
| 0.9512 | 21.0 | 126 | 0.9743 |
| 0.951 | 22.0 | 132 | 0.9441 |
| 0.917 | 23.0 | 138 | 0.8909 |
| 0.8726 | 24.0 | 144 | 0.9193 |
| 0.8937 | 25.0 | 150 | 0.8686 |
| 0.8351 | 26.0 | 156 | 0.8182 |
| 0.8397 | 27.0 | 162 | 0.7957 |
| 0.8148 | 28.0 | 168 | 0.7851 |
| 0.7866 | 29.0 | 174 | 0.7707 |
| 0.7579 | 30.0 | 180 | 0.7610 |
| 0.7516 | 31.0 | 186 | 0.7259 |
| 0.734 | 32.0 | 192 | 0.7193 |
| 0.7375 | 33.0 | 198 | 0.7392 |
| 0.7284 | 34.0 | 204 | 0.7019 |
| 0.7283 | 35.0 | 210 | 0.6881 |
| 0.6968 | 36.0 | 216 | 0.6745 |
| 0.69 | 37.0 | 222 | 0.6672 |
| 0.6877 | 38.0 | 228 | 0.6606 |
| 0.6741 | 39.0 | 234 | 0.6575 |
| 0.6741 | 40.0 | 240 | 0.6527 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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