---
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: 1.3362

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3627        | 1.0   | 6    | 2.7265          |
| 2.3833        | 2.0   | 12   | 1.9531          |
| 1.8417        | 3.0   | 18   | 1.6770          |
| 1.6578        | 4.0   | 24   | 1.5824          |
| 1.5674        | 5.0   | 30   | 1.5478          |
| 1.5750        | 6.0   | 36   | 1.5474          |
| 1.5333        | 7.0   | 42   | 1.7200          |
| 1.6069        | 8.0   | 48   | 1.5513          |
| 1.5526        | 9.0   | 54   | 1.5275          |
| 1.5118        | 10.0  | 60   | 1.5277          |
| 1.5246        | 11.0  | 66   | 1.5190          |
| 1.5645        | 12.0  | 72   | 1.5177          |
| 1.5285        | 13.0  | 78   | 1.5219          |
| 1.5391        | 14.0  | 84   | 1.5125          |
| 1.5124        | 15.0  | 90   | 1.5222          |
| 1.5302        | 16.0  | 96   | 1.5181          |
| 1.5253        | 17.0  | 102  | 1.5064          |
| 1.4981        | 18.0  | 108  | 1.5100          |
| 1.5007        | 19.0  | 114  | 1.4890          |
| 1.4692        | 20.0  | 120  | 1.4828          |
| 1.4616        | 21.0  | 126  | 1.4810          |
| 1.4744        | 22.0  | 132  | 1.4636          |
| 1.4671        | 23.0  | 138  | 1.4516          |
| 1.4594        | 24.0  | 144  | 1.4417          |
| 1.4802        | 25.0  | 150  | 1.4573          |
| 1.4573        | 26.0  | 156  | 1.4384          |
| 1.4171        | 27.0  | 162  | 1.4459          |
| 1.4506        | 28.0  | 168  | 1.4285          |
| 1.4360        | 29.0  | 174  | 1.4135          |
| 1.4537        | 30.0  | 180  | 1.4091          |
| 1.4133        | 31.0  | 186  | 1.4245          |
| 1.4442        | 32.0  | 192  | 1.3852          |
| 1.3666        | 33.0  | 198  | 1.3804          |
| 1.3887        | 34.0  | 204  | 1.3633          |
| 1.3842        | 35.0  | 210  | 1.3585          |
| 1.3670        | 36.0  | 216  | 1.3495          |
| 1.3610        | 37.0  | 222  | 1.3469          |
| 1.3501        | 38.0  | 228  | 1.3452          |
| 1.3474        | 39.0  | 234  | 1.3374          |
| 1.3398        | 40.0  | 240  | 1.3362          |


### Framework versions

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