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---
library_name: transformers
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: 0.5857
## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 40
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6713 | 1.0 | 6 | 3.1066 |
| 2.6657 | 2.0 | 12 | 2.1494 |
| 1.9445 | 3.0 | 18 | 1.7102 |
| 1.6766 | 4.0 | 24 | 1.5843 |
| 1.5675 | 5.0 | 30 | 1.5400 |
| 1.514 | 6.0 | 36 | 1.4790 |
| 1.4359 | 7.0 | 42 | 1.3848 |
| 1.3846 | 8.0 | 48 | 1.3430 |
| 1.3429 | 9.0 | 54 | 1.3113 |
| 1.2695 | 10.0 | 60 | 1.2591 |
| 1.2346 | 11.0 | 66 | 1.1202 |
| 1.1799 | 12.0 | 72 | 1.1988 |
| 1.1394 | 13.0 | 78 | 1.0635 |
| 1.0823 | 14.0 | 84 | 1.0404 |
| 1.0411 | 15.0 | 90 | 1.0058 |
| 1.002 | 16.0 | 96 | 0.9632 |
| 0.9569 | 17.0 | 102 | 0.9427 |
| 0.946 | 18.0 | 108 | 0.8890 |
| 0.9083 | 19.0 | 114 | 0.8726 |
| 0.8994 | 20.0 | 120 | 0.8342 |
| 0.8852 | 21.0 | 126 | 0.8450 |
| 0.8647 | 22.0 | 132 | 0.7971 |
| 0.8379 | 23.0 | 138 | 0.7805 |
| 0.8139 | 24.0 | 144 | 0.7417 |
| 0.7895 | 25.0 | 150 | 0.7641 |
| 0.8015 | 26.0 | 156 | 0.7093 |
| 0.7586 | 27.0 | 162 | 0.7121 |
| 0.7653 | 28.0 | 168 | 0.7131 |
| 0.7452 | 29.0 | 174 | 0.6806 |
| 0.7385 | 30.0 | 180 | 0.6572 |
| 0.7004 | 31.0 | 186 | 0.6542 |
| 0.6924 | 32.0 | 192 | 0.6507 |
| 0.6934 | 33.0 | 198 | 0.6411 |
| 0.6803 | 34.0 | 204 | 0.6227 |
| 0.6655 | 35.0 | 210 | 0.6102 |
| 0.657 | 36.0 | 216 | 0.6125 |
| 0.6514 | 37.0 | 222 | 0.5946 |
| 0.6528 | 38.0 | 228 | 0.5912 |
| 0.6493 | 39.0 | 234 | 0.5893 |
| 0.6398 | 40.0 | 240 | 0.5857 |
### Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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