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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: 0.7830
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.427 | 1.0 | 6 | 2.7939 |
| 2.4109 | 2.0 | 12 | 2.0016 |
| 1.8545 | 3.0 | 18 | 1.7404 |
| 1.6739 | 4.0 | 24 | 1.6295 |
| 1.6169 | 5.0 | 30 | 1.5796 |
| 1.5292 | 6.0 | 36 | 1.5329 |
| 1.5561 | 7.0 | 42 | 1.5452 |
| 1.5104 | 8.0 | 48 | 1.4851 |
| 1.449 | 9.0 | 54 | 1.4911 |
| 1.4033 | 10.0 | 60 | 1.5385 |
| 1.596 | 11.0 | 66 | 1.4041 |
| 1.4016 | 12.0 | 72 | 1.4326 |
| 1.3652 | 13.0 | 78 | 1.4192 |
| 1.3674 | 14.0 | 84 | 1.3686 |
| 1.3247 | 15.0 | 90 | 1.3393 |
| 1.2677 | 16.0 | 96 | 1.2822 |
| 1.2501 | 17.0 | 102 | 1.4161 |
| 1.2504 | 18.0 | 108 | 1.2305 |
| 1.2036 | 19.0 | 114 | 1.2746 |
| 1.19 | 20.0 | 120 | 1.1341 |
| 1.1239 | 21.0 | 126 | 1.0830 |
| 1.0561 | 22.0 | 132 | 1.1285 |
| 1.1156 | 23.0 | 138 | 1.1040 |
| 1.0666 | 24.0 | 144 | 1.0544 |
| 1.0425 | 25.0 | 150 | 0.9969 |
| 1.0004 | 26.0 | 156 | 0.9607 |
| 0.9737 | 27.0 | 162 | 0.9564 |
| 0.9604 | 28.0 | 168 | 0.9418 |
| 0.9737 | 29.0 | 174 | 0.8994 |
| 0.9149 | 30.0 | 180 | 0.8790 |
| 0.9073 | 31.0 | 186 | 0.8659 |
| 0.896 | 32.0 | 192 | 0.8466 |
| 0.8752 | 33.0 | 198 | 0.8496 |
| 0.9161 | 34.0 | 204 | 0.8349 |
| 0.8831 | 35.0 | 210 | 0.8165 |
| 0.8352 | 36.0 | 216 | 0.8027 |
| 0.8305 | 37.0 | 222 | 0.7951 |
| 0.8242 | 38.0 | 228 | 0.7902 |
| 0.8416 | 39.0 | 234 | 0.7846 |
| 0.832 | 40.0 | 240 | 0.7830 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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