---
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