---
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: 0.1029

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0054        | 1.0   | 6    | 2.2737          |
| 2.0384        | 2.0   | 12   | 1.7426          |
| 1.5809        | 3.0   | 18   | 1.3404          |
| 1.2444        | 4.0   | 24   | 1.0828          |
| 1.0174        | 5.0   | 30   | 0.9111          |
| 0.8686        | 6.0   | 36   | 0.7906          |
| 0.7634        | 7.0   | 42   | 0.7097          |
| 0.7201        | 8.0   | 48   | 0.6570          |
| 0.6563        | 9.0   | 54   | 0.6026          |
| 0.6174        | 10.0  | 60   | 0.5597          |
| 0.5637        | 11.0  | 66   | 0.5282          |
| 0.5339        | 12.0  | 72   | 0.5110          |
| 0.5056        | 13.0  | 78   | 0.4819          |
| 0.4833        | 14.0  | 84   | 0.4364          |
| 0.4595        | 15.0  | 90   | 0.4270          |
| 0.4414        | 16.0  | 96   | 0.4014          |
| 0.4358        | 17.0  | 102  | 0.3982          |
| 0.3998        | 18.0  | 108  | 0.3680          |
| 0.3790        | 19.0  | 114  | 0.3431          |
| 0.3564        | 20.0  | 120  | 0.3411          |
| 0.3567        | 21.0  | 126  | 0.3193          |
| 0.3297        | 22.0  | 132  | 0.2895          |
| 0.3156        | 23.0  | 138  | 0.2718          |
| 0.2846        | 24.0  | 144  | 0.2467          |
| 0.2590        | 25.0  | 150  | 0.2285          |
| 0.2476        | 26.0  | 156  | 0.2163          |
| 0.2361        | 27.0  | 162  | 0.2084          |
| 0.2255        | 28.0  | 168  | 0.1900          |
| 0.2156        | 29.0  | 174  | 0.1825          |
| 0.2100        | 30.0  | 180  | 0.1861          |
| 0.2060        | 31.0  | 186  | 0.1727          |
| 0.1867        | 32.0  | 192  | 0.1626          |
| 0.1811        | 33.0  | 198  | 0.1422          |
| 0.1652        | 34.0  | 204  | 0.1297          |
| 0.1540        | 35.0  | 210  | 0.1264          |
| 0.1483        | 36.0  | 216  | 0.1190          |
| 0.1493        | 37.0  | 222  | 0.1116          |
| 0.1373        | 38.0  | 228  | 0.1065          |
| 0.1366        | 39.0  | 234  | 0.1040          |
| 0.1319        | 40.0  | 240  | 0.1029          |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2