---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: calculator_model_test1
  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_test1

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: 0.0812

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9229        | 1.0   | 6    | 2.2326          |
| 2.0049        | 2.0   | 12   | 1.7103          |
| 1.5420        | 3.0   | 18   | 1.3654          |
| 1.2160        | 4.0   | 24   | 1.0594          |
| 1.0152        | 5.0   | 30   | 0.9351          |
| 0.9045        | 6.0   | 36   | 0.8313          |
| 0.8259        | 7.0   | 42   | 0.7719          |
| 0.7393        | 8.0   | 48   | 0.6679          |
| 0.6706        | 9.0   | 54   | 0.6165          |
| 0.6159        | 10.0  | 60   | 0.5675          |
| 0.5727        | 11.0  | 66   | 0.5366          |
| 0.5439        | 12.0  | 72   | 0.4941          |
| 0.5177        | 13.0  | 78   | 0.4715          |
| 0.4960        | 14.0  | 84   | 0.4656          |
| 0.4791        | 15.0  | 90   | 0.4849          |
| 0.4674        | 16.0  | 96   | 0.4290          |
| 0.4400        | 17.0  | 102  | 0.4014          |
| 0.4173        | 18.0  | 108  | 0.3741          |
| 0.3855        | 19.0  | 114  | 0.3403          |
| 0.3612        | 20.0  | 120  | 0.3264          |
| 0.3450        | 21.0  | 126  | 0.3056          |
| 0.3191        | 22.0  | 132  | 0.2809          |
| 0.2951        | 23.0  | 138  | 0.2809          |
| 0.2872        | 24.0  | 144  | 0.2439          |
| 0.2758        | 25.0  | 150  | 0.2237          |
| 0.2452        | 26.0  | 156  | 0.2104          |
| 0.2263        | 27.0  | 162  | 0.1879          |
| 0.2083        | 28.0  | 168  | 0.1739          |
| 0.1974        | 29.0  | 174  | 0.1584          |
| 0.1776        | 30.0  | 180  | 0.1451          |
| 0.1669        | 31.0  | 186  | 0.1376          |
| 0.1565        | 32.0  | 192  | 0.1234          |
| 0.1502        | 33.0  | 198  | 0.1140          |
| 0.1403        | 34.0  | 204  | 0.1007          |
| 0.1341        | 35.0  | 210  | 0.0964          |
| 0.1284        | 36.0  | 216  | 0.0911          |
| 0.1234        | 37.0  | 222  | 0.0865          |
| 0.1154        | 38.0  | 228  | 0.0845          |
| 0.1172        | 39.0  | 234  | 0.0826          |
| 0.1149        | 40.0  | 240  | 0.0812          |


### Framework versions

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