---
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: 0.6459

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3906        | 1.0   | 6    | 2.7256          |
| 2.3769        | 2.0   | 12   | 1.9990          |
| 1.861         | 3.0   | 18   | 1.6958          |
| 1.6322        | 4.0   | 24   | 1.5805          |
| 1.5721        | 5.0   | 30   | 1.5422          |
| 1.5184        | 6.0   | 36   | 1.5180          |
| 1.4832        | 7.0   | 42   | 1.5010          |
| 1.4849        | 8.0   | 48   | 1.5123          |
| 1.462         | 9.0   | 54   | 1.4417          |
| 1.4298        | 10.0  | 60   | 1.4435          |
| 1.4279        | 11.0  | 66   | 1.4251          |
| 1.4448        | 12.0  | 72   | 1.3547          |
| 1.3379        | 13.0  | 78   | 1.3969          |
| 1.3537        | 14.0  | 84   | 1.2676          |
| 1.2642        | 15.0  | 90   | 1.1872          |
| 1.2176        | 16.0  | 96   | 1.1717          |
| 1.1637        | 17.0  | 102  | 1.1720          |
| 1.1542        | 18.0  | 108  | 1.0787          |
| 1.0647        | 19.0  | 114  | 1.0448          |
| 1.0532        | 20.0  | 120  | 0.9690          |
| 0.9851        | 21.0  | 126  | 1.0202          |
| 1.0039        | 22.0  | 132  | 0.9606          |
| 0.9611        | 23.0  | 138  | 0.9038          |
| 0.945         | 24.0  | 144  | 0.9449          |
| 0.9189        | 25.0  | 150  | 0.8462          |
| 0.87          | 26.0  | 156  | 0.8271          |
| 0.8647        | 27.0  | 162  | 0.8263          |
| 0.8469        | 28.0  | 168  | 0.7877          |
| 0.8159        | 29.0  | 174  | 0.7557          |
| 0.7941        | 30.0  | 180  | 0.7365          |
| 0.7619        | 31.0  | 186  | 0.7333          |
| 0.7643        | 32.0  | 192  | 0.7197          |
| 0.7689        | 33.0  | 198  | 0.7006          |
| 0.7508        | 34.0  | 204  | 0.6877          |
| 0.7349        | 35.0  | 210  | 0.6797          |
| 0.7214        | 36.0  | 216  | 0.6733          |
| 0.7172        | 37.0  | 222  | 0.6600          |
| 0.7152        | 38.0  | 228  | 0.6582          |
| 0.6935        | 39.0  | 234  | 0.6510          |
| 0.696         | 40.0  | 240  | 0.6459          |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0