---
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: 0.2019

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8957        | 1.0   | 6    | 2.2381          |
| 2.0146        | 2.0   | 12   | 1.7705          |
| 1.6197        | 3.0   | 18   | 1.4439          |
| 1.2979        | 4.0   | 24   | 1.2227          |
| 1.1103        | 5.0   | 30   | 1.0364          |
| 0.9847        | 6.0   | 36   | 0.9059          |
| 0.8452        | 7.0   | 42   | 0.8222          |
| 0.7736        | 8.0   | 48   | 0.7130          |
| 0.7047        | 9.0   | 54   | 0.7146          |
| 0.6887        | 10.0  | 60   | 0.6280          |
| 0.6119        | 11.0  | 66   | 0.5824          |
| 0.5802        | 12.0  | 72   | 0.5667          |
| 0.5312        | 13.0  | 78   | 0.5148          |
| 0.5067        | 14.0  | 84   | 0.4975          |
| 0.4947        | 15.0  | 90   | 0.4650          |
| 0.4716        | 16.0  | 96   | 0.4645          |
| 0.4669        | 17.0  | 102  | 0.4134          |
| 0.4348        | 18.0  | 108  | 0.4056          |
| 0.4105        | 19.0  | 114  | 0.4091          |
| 0.4158        | 20.0  | 120  | 0.3917          |
| 0.3862        | 21.0  | 126  | 0.3704          |
| 0.3753        | 22.0  | 132  | 0.3581          |
| 0.3624        | 23.0  | 138  | 0.3444          |
| 0.3557        | 24.0  | 144  | 0.3281          |
| 0.3335        | 25.0  | 150  | 0.3180          |
| 0.3240        | 26.0  | 156  | 0.3008          |
| 0.3181        | 27.0  | 162  | 0.2858          |
| 0.3069        | 28.0  | 168  | 0.2820          |
| 0.2978        | 29.0  | 174  | 0.2660          |
| 0.2866        | 30.0  | 180  | 0.2594          |
| 0.2688        | 31.0  | 186  | 0.2464          |
| 0.2642        | 32.0  | 192  | 0.2372          |
| 0.2520        | 33.0  | 198  | 0.2307          |
| 0.2484        | 34.0  | 204  | 0.2216          |
| 0.2392        | 35.0  | 210  | 0.2195          |
| 0.2458        | 36.0  | 216  | 0.2128          |
| 0.2513        | 37.0  | 222  | 0.2108          |
| 0.2287        | 38.0  | 228  | 0.2072          |
| 0.2331        | 39.0  | 234  | 0.2034          |
| 0.2344        | 40.0  | 240  | 0.2019          |


### Framework versions

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