---
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: 0.7120

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3426        | 1.0   | 6    | 2.7993          |
| 2.4209        | 2.0   | 12   | 1.9973          |
| 1.8734        | 3.0   | 18   | 1.7473          |
| 1.6692        | 4.0   | 24   | 1.6342          |
| 1.5799        | 5.0   | 30   | 1.6449          |
| 1.5671        | 6.0   | 36   | 1.5829          |
| 1.5089        | 7.0   | 42   | 1.5246          |
| 1.4829        | 8.0   | 48   | 1.5022          |
| 1.4327        | 9.0   | 54   | 1.4243          |
| 1.4399        | 10.0  | 60   | 1.3937          |
| 1.3700        | 11.0  | 66   | 1.3579          |
| 1.3430        | 12.0  | 72   | 1.2976          |
| 1.2724        | 13.0  | 78   | 1.2658          |
| 1.2386        | 14.0  | 84   | 1.1594          |
| 1.2057        | 15.0  | 90   | 1.2266          |
| 1.2069        | 16.0  | 96   | 1.3501          |
| 1.2408        | 17.0  | 102  | 1.1047          |
| 1.1625        | 18.0  | 108  | 1.1621          |
| 1.1029        | 19.0  | 114  | 1.1712          |
| 1.1209        | 20.0  | 120  | 1.0636          |
| 1.0304        | 21.0  | 126  | 0.9785          |
| 0.9679        | 22.0  | 132  | 0.9535          |
| 0.9591        | 23.0  | 138  | 0.8968          |
| 0.9017        | 24.0  | 144  | 0.8817          |
| 0.8773        | 25.0  | 150  | 0.9545          |
| 0.9173        | 26.0  | 156  | 1.0227          |
| 0.9503        | 27.0  | 162  | 0.8290          |
| 0.8785        | 28.0  | 168  | 0.8701          |
| 0.8594        | 29.0  | 174  | 0.8212          |
| 0.8462        | 30.0  | 180  | 0.8228          |
| 0.8191        | 31.0  | 186  | 0.8144          |
| 0.8301        | 32.0  | 192  | 0.7736          |
| 0.7794        | 33.0  | 198  | 0.7820          |
| 0.7795        | 34.0  | 204  | 0.7523          |
| 0.7806        | 35.0  | 210  | 0.7386          |
| 0.7463        | 36.0  | 216  | 0.7327          |
| 0.7594        | 37.0  | 222  | 0.7222          |
| 0.7774        | 38.0  | 228  | 0.7165          |
| 0.7488        | 39.0  | 234  | 0.7132          |
| 0.7370        | 40.0  | 240  | 0.7120          |


### Framework versions

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