---
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: 0.2387

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0501        | 1.0   | 6    | 2.2966          |
| 2.0486        | 2.0   | 12   | 1.7533          |
| 1.5929        | 3.0   | 18   | 1.3909          |
| 1.2724        | 4.0   | 24   | 1.1387          |
| 1.0906        | 5.0   | 30   | 0.9902          |
| 0.9501        | 6.0   | 36   | 0.8982          |
| 0.8489        | 7.0   | 42   | 0.8078          |
| 0.7684        | 8.0   | 48   | 0.7145          |
| 0.6872        | 9.0   | 54   | 0.6570          |
| 0.6574        | 10.0  | 60   | 0.6683          |
| 0.6364        | 11.0  | 66   | 0.6542          |
| 0.6217        | 12.0  | 72   | 0.5741          |
| 0.561         | 13.0  | 78   | 0.5594          |
| 0.548         | 14.0  | 84   | 0.5491          |
| 0.5447        | 15.0  | 90   | 0.5075          |
| 0.5114        | 16.0  | 96   | 0.5275          |
| 0.4897        | 17.0  | 102  | 0.4606          |
| 0.4736        | 18.0  | 108  | 0.4505          |
| 0.4536        | 19.0  | 114  | 0.4420          |
| 0.4438        | 20.0  | 120  | 0.4338          |
| 0.4178        | 21.0  | 126  | 0.4388          |
| 0.439         | 22.0  | 132  | 0.4336          |
| 0.4315        | 23.0  | 138  | 0.3953          |
| 0.4006        | 24.0  | 144  | 0.3763          |
| 0.3923        | 25.0  | 150  | 0.3776          |
| 0.3785        | 26.0  | 156  | 0.3616          |
| 0.38          | 27.0  | 162  | 0.3504          |
| 0.3546        | 28.0  | 168  | 0.3411          |
| 0.3507        | 29.0  | 174  | 0.3395          |
| 0.3518        | 30.0  | 180  | 0.3256          |
| 0.3324        | 31.0  | 186  | 0.3084          |
| 0.3161        | 32.0  | 192  | 0.2991          |
| 0.3043        | 33.0  | 198  | 0.2820          |
| 0.2977        | 34.0  | 204  | 0.2706          |
| 0.2911        | 35.0  | 210  | 0.2644          |
| 0.2843        | 36.0  | 216  | 0.2583          |
| 0.2662        | 37.0  | 222  | 0.2491          |
| 0.2737        | 38.0  | 228  | 0.2438          |
| 0.2599        | 39.0  | 234  | 0.2397          |
| 0.2647        | 40.0  | 240  | 0.2387          |


### Framework versions

- Transformers 4.57.2
- Pytorch 2.9.1+cu128
- Datasets 4.5.0
- Tokenizers 0.22.1