---
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: 0.7094

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.645         | 1.0   | 6    | 3.1423          |
| 2.6617        | 2.0   | 12   | 2.2004          |
| 1.9491        | 3.0   | 18   | 1.7518          |
| 1.6288        | 4.0   | 24   | 1.6348          |
| 1.5541        | 5.0   | 30   | 1.5475          |
| 1.538         | 6.0   | 36   | 1.9365          |
| 1.6453        | 7.0   | 42   | 1.5644          |
| 1.5197        | 8.0   | 48   | 1.5235          |
| 1.4557        | 9.0   | 54   | 1.4558          |
| 1.3767        | 10.0  | 60   | 1.4314          |
| 1.3545        | 11.0  | 66   | 1.3279          |
| 1.288         | 12.0  | 72   | 1.2356          |
| 1.227         | 13.0  | 78   | 1.3249          |
| 1.2531        | 14.0  | 84   | 1.2027          |
| 1.1426        | 15.0  | 90   | 1.1148          |
| 1.0918        | 16.0  | 96   | 1.1311          |
| 1.0839        | 17.0  | 102  | 1.1813          |
| 1.0836        | 18.0  | 108  | 1.0659          |
| 1.0585        | 19.0  | 114  | 1.0008          |
| 0.9926        | 20.0  | 120  | 0.9494          |
| 0.9478        | 21.0  | 126  | 0.9661          |
| 0.9775        | 22.0  | 132  | 0.9673          |
| 0.934         | 23.0  | 138  | 0.9720          |
| 0.924         | 24.0  | 144  | 0.9773          |
| 0.9248        | 25.0  | 150  | 0.9146          |
| 0.9067        | 26.0  | 156  | 0.8718          |
| 0.8721        | 27.0  | 162  | 0.8443          |
| 0.8469        | 28.0  | 168  | 0.8218          |
| 0.8193        | 29.0  | 174  | 0.8011          |
| 0.8128        | 30.0  | 180  | 0.7859          |
| 0.8052        | 31.0  | 186  | 0.7834          |
| 0.7991        | 32.0  | 192  | 0.7729          |
| 0.7989        | 33.0  | 198  | 0.7604          |
| 0.8723        | 34.0  | 204  | 0.7481          |
| 0.7696        | 35.0  | 210  | 0.7421          |
| 0.7635        | 36.0  | 216  | 0.7335          |
| 0.7615        | 37.0  | 222  | 0.7248          |
| 0.7523        | 38.0  | 228  | 0.7232          |
| 0.7501        | 39.0  | 234  | 0.7160          |
| 0.7662        | 40.0  | 240  | 0.7094          |


### Framework versions

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