---
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: 0.0064

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7931        | 1.0   | 6    | 2.1113          |
| 1.8077        | 2.0   | 12   | 1.4058          |
| 1.1644        | 3.0   | 18   | 0.9666          |
| 0.8817        | 4.0   | 24   | 0.7780          |
| 0.7403        | 5.0   | 30   | 0.7428          |
| 0.7086        | 6.0   | 36   | 0.6427          |
| 0.6289        | 7.0   | 42   | 0.5918          |
| 0.5774        | 8.0   | 48   | 0.5336          |
| 0.5304        | 9.0   | 54   | 0.4841          |
| 0.4572        | 10.0  | 60   | 0.4076          |
| 0.4071        | 11.0  | 66   | 0.3833          |
| 0.3504        | 12.0  | 72   | 0.3248          |
| 0.3101        | 13.0  | 78   | 0.2868          |
| 0.2649        | 14.0  | 84   | 0.2062          |
| 0.2075        | 15.0  | 90   | 0.1612          |
| 0.1667        | 16.0  | 96   | 0.1267          |
| 0.1327        | 17.0  | 102  | 0.0917          |
| 0.1027        | 18.0  | 108  | 0.0700          |
| 0.0871        | 19.0  | 114  | 0.0644          |
| 0.0785        | 20.0  | 120  | 0.0544          |
| 0.077         | 21.0  | 126  | 0.0449          |
| 0.0588        | 22.0  | 132  | 0.0333          |
| 0.0459        | 23.0  | 138  | 0.0280          |
| 0.0418        | 24.0  | 144  | 0.0217          |
| 0.0347        | 25.0  | 150  | 0.0180          |
| 0.0325        | 26.0  | 156  | 0.0179          |
| 0.0293        | 27.0  | 162  | 0.0148          |
| 0.0271        | 28.0  | 168  | 0.0117          |
| 0.0223        | 29.0  | 174  | 0.0129          |
| 0.0196        | 30.0  | 180  | 0.0099          |
| 0.0164        | 31.0  | 186  | 0.0087          |
| 0.0154        | 32.0  | 192  | 0.0082          |
| 0.013         | 33.0  | 198  | 0.0075          |
| 0.0123        | 34.0  | 204  | 0.0070          |
| 0.0123        | 35.0  | 210  | 0.0068          |
| 0.0112        | 36.0  | 216  | 0.0066          |
| 0.0125        | 37.0  | 222  | 0.0065          |
| 0.0111        | 38.0  | 228  | 0.0065          |
| 0.0122        | 39.0  | 234  | 0.0065          |
| 0.0107        | 40.0  | 240  | 0.0064          |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0