---
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: 0.6660

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3723        | 1.0   | 6    | 2.7100          |
| 2.3610        | 2.0   | 12   | 1.9674          |
| 1.8441        | 3.0   | 18   | 1.6414          |
| 1.6440        | 4.0   | 24   | 1.7133          |
| 1.6275        | 5.0   | 30   | 1.5587          |
| 1.5577        | 6.0   | 36   | 1.4983          |
| 1.4918        | 7.0   | 42   | 1.4335          |
| 1.4306        | 8.0   | 48   | 1.3870          |
| 1.3583        | 9.0   | 54   | 1.5533          |
| 1.4316        | 10.0  | 60   | 1.3992          |
| 1.3427        | 11.0  | 66   | 1.3620          |
| 1.3047        | 12.0  | 72   | 1.2491          |
| 1.2281        | 13.0  | 78   | 1.1471          |
| 1.1542        | 14.0  | 84   | 1.1002          |
| 1.1274        | 15.0  | 90   | 1.3248          |
| 1.1864        | 16.0  | 96   | 1.2169          |
| 1.1328        | 17.0  | 102  | 1.1488          |
| 1.0901        | 18.0  | 108  | 1.0341          |
| 1.0214        | 19.0  | 114  | 0.9890          |
| 1.0060        | 20.0  | 120  | 1.1041          |
| 1.0463        | 21.0  | 126  | 1.0832          |
| 1.0114        | 22.0  | 132  | 0.9414          |
| 0.9680        | 23.0  | 138  | 1.0066          |
| 0.9854        | 24.0  | 144  | 0.9178          |
| 0.9139        | 25.0  | 150  | 0.8783          |
| 0.9392        | 26.0  | 156  | 0.8476          |
| 0.8653        | 27.0  | 162  | 0.8081          |
| 0.8270        | 28.0  | 168  | 0.8145          |
| 0.8342        | 29.0  | 174  | 0.7931          |
| 0.8104        | 30.0  | 180  | 0.7706          |
| 0.8007        | 31.0  | 186  | 0.7405          |
| 0.7581        | 32.0  | 192  | 0.7223          |
| 0.7534        | 33.0  | 198  | 0.7220          |
| 0.7468        | 34.0  | 204  | 0.7195          |
| 0.7329        | 35.0  | 210  | 0.7129          |
| 0.7140        | 36.0  | 216  | 0.6833          |
| 0.7118        | 37.0  | 222  | 0.6774          |
| 0.7359        | 38.0  | 228  | 0.6700          |
| 0.7210        | 39.0  | 234  | 0.6725          |
| 0.6968        | 40.0  | 240  | 0.6660          |


### Framework versions

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