---
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: 0.7503

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4058        | 1.0   | 6    | 2.7645          |
| 2.3687        | 2.0   | 12   | 2.0460          |
| 1.8458        | 3.0   | 18   | 1.6800          |
| 1.6366        | 4.0   | 24   | 1.5984          |
| 1.5803        | 5.0   | 30   | 1.5635          |
| 1.5446        | 6.0   | 36   | 1.5391          |
| 1.5226        | 7.0   | 42   | 1.5339          |
| 1.5374        | 8.0   | 48   | 1.5383          |
| 1.5543        | 9.0   | 54   | 1.5519          |
| 1.5328        | 10.0  | 60   | 1.6631          |
| 1.5779        | 11.0  | 66   | 1.5271          |
| 1.5112        | 12.0  | 72   | 1.5244          |
| 1.5213        | 13.0  | 78   | 1.4900          |
| 1.5005        | 14.0  | 84   | 1.4802          |
| 1.4843        | 15.0  | 90   | 1.4984          |
| 1.4506        | 16.0  | 96   | 1.4163          |
| 1.4083        | 17.0  | 102  | 1.3781          |
| 1.3669        | 18.0  | 108  | 1.3816          |
| 1.3516        | 19.0  | 114  | 1.2972          |
| 1.293         | 20.0  | 120  | 1.2405          |
| 1.2           | 21.0  | 126  | 1.1689          |
| 1.1558        | 22.0  | 132  | 1.1402          |
| 1.1391        | 23.0  | 138  | 1.0921          |
| 1.0899        | 24.0  | 144  | 1.0230          |
| 1.0309        | 25.0  | 150  | 1.0130          |
| 1.0078        | 26.0  | 156  | 0.9680          |
| 0.987         | 27.0  | 162  | 0.9480          |
| 0.9573        | 28.0  | 168  | 0.9060          |
| 0.9286        | 29.0  | 174  | 0.8876          |
| 0.9278        | 30.0  | 180  | 0.8956          |
| 0.9261        | 31.0  | 186  | 0.8770          |
| 0.8869        | 32.0  | 192  | 0.8407          |
| 0.8674        | 33.0  | 198  | 0.8311          |
| 0.8522        | 34.0  | 204  | 0.8045          |
| 0.8397        | 35.0  | 210  | 0.7907          |
| 0.8271        | 36.0  | 216  | 0.7811          |
| 0.8157        | 37.0  | 222  | 0.7684          |
| 0.8234        | 38.0  | 228  | 0.7593          |
| 0.7975        | 39.0  | 234  | 0.7524          |
| 0.8024        | 40.0  | 240  | 0.7503          |


### Framework versions

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