---
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: 0.6688

## 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_FUSED 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4045        | 1.0   | 6    | 2.7587          |
| 2.3917        | 2.0   | 12   | 1.9900          |
| 1.8734        | 3.0   | 18   | 1.6958          |
| 1.6324        | 4.0   | 24   | 1.6081          |
| 1.5676        | 5.0   | 30   | 1.5619          |
| 1.5436        | 6.0   | 36   | 1.6197          |
| 1.5139        | 7.0   | 42   | 1.4991          |
| 1.4614        | 8.0   | 48   | 1.4779          |
| 1.4407        | 9.0   | 54   | 1.4234          |
| 1.3644        | 10.0  | 60   | 1.3460          |
| 1.3096        | 11.0  | 66   | 1.3823          |
| 1.2634        | 12.0  | 72   | 1.2711          |
| 1.1912        | 13.0  | 78   | 1.2382          |
| 1.1856        | 14.0  | 84   | 1.1337          |
| 1.1019        | 15.0  | 90   | 1.2100          |
| 1.1441        | 16.0  | 96   | 1.1382          |
| 1.0611        | 17.0  | 102  | 1.0282          |
| 0.9967        | 18.0  | 108  | 0.9920          |
| 0.9765        | 19.0  | 114  | 0.9946          |
| 0.9517        | 20.0  | 120  | 0.9478          |
| 0.9374        | 21.0  | 126  | 0.9441          |
| 0.8931        | 22.0  | 132  | 0.9748          |
| 0.8756        | 23.0  | 138  | 0.8511          |
| 0.8523        | 24.0  | 144  | 0.8759          |
| 0.8757        | 25.0  | 150  | 0.8253          |
| 0.8209        | 26.0  | 156  | 0.8182          |
| 0.8190        | 27.0  | 162  | 0.7820          |
| 0.7795        | 28.0  | 168  | 0.7740          |
| 0.8097        | 29.0  | 174  | 0.7571          |
| 0.7626        | 30.0  | 180  | 0.7584          |
| 0.7491        | 31.0  | 186  | 0.7444          |
| 0.7320        | 32.0  | 192  | 0.7177          |
| 0.7235        | 33.0  | 198  | 0.7124          |
| 0.7145        | 34.0  | 204  | 0.7032          |
| 0.7085        | 35.0  | 210  | 0.6888          |
| 0.7138        | 36.0  | 216  | 0.6866          |
| 0.6910        | 37.0  | 222  | 0.6789          |
| 0.6801        | 38.0  | 228  | 0.6731          |
| 0.6819        | 39.0  | 234  | 0.6715          |
| 0.6750        | 40.0  | 240  | 0.6688          |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cpu
- Datasets 4.0.0
- Tokenizers 0.22.2