---
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: 0.4101

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9065        | 1.0   | 5    | 1.4456          |
| 1.4155        | 2.0   | 10   | 1.2758          |
| 1.2760        | 3.0   | 15   | 1.1750          |
| 1.1812        | 4.0   | 20   | 1.1125          |
| 1.1029        | 5.0   | 25   | 1.0135          |
| 1.0238        | 6.0   | 30   | 0.9452          |
| 0.9754        | 7.0   | 35   | 1.0039          |
| 1.0038        | 8.0   | 40   | 0.8954          |
| 0.9197        | 9.0   | 45   | 0.8593          |
| 0.9007        | 10.0  | 50   | 0.8470          |
| 0.8615        | 11.0  | 55   | 0.8050          |
| 0.8225        | 12.0  | 60   | 0.7646          |
| 0.7921        | 13.0  | 65   | 0.7265          |
| 0.7955        | 14.0  | 70   | 0.7123          |
| 0.7526        | 15.0  | 75   | 0.6853          |
| 0.7354        | 16.0  | 80   | 0.6793          |
| 0.7253        | 17.0  | 85   | 0.6548          |
| 0.7005        | 18.0  | 90   | 0.6337          |
| 0.6761        | 19.0  | 95   | 0.6158          |
| 0.6566        | 20.0  | 100  | 0.5916          |
| 0.6642        | 21.0  | 105  | 0.5759          |
| 0.6408        | 22.0  | 110  | 0.5735          |
| 0.6353        | 23.0  | 115  | 0.5868          |
| 0.6286        | 24.0  | 120  | 0.5503          |
| 0.6109        | 25.0  | 125  | 0.5538          |
| 0.6068        | 26.0  | 130  | 0.5321          |
| 0.5774        | 27.0  | 135  | 0.5221          |
| 0.5733        | 28.0  | 140  | 0.5113          |
| 0.5716        | 29.0  | 145  | 0.5014          |
| 0.5593        | 30.0  | 150  | 0.4884          |
| 0.5554        | 31.0  | 155  | 0.4771          |
| 0.5422        | 32.0  | 160  | 0.4739          |
| 0.5319        | 33.0  | 165  | 0.4565          |
| 0.5182        | 34.0  | 170  | 0.4458          |
| 0.5100        | 35.0  | 175  | 0.4406          |
| 0.5040        | 36.0  | 180  | 0.4282          |
| 0.4940        | 37.0  | 185  | 0.4242          |
| 0.4867        | 38.0  | 190  | 0.4195          |
| 0.4910        | 39.0  | 195  | 0.4116          |
| 0.4794        | 40.0  | 200  | 0.4101          |


### Framework versions

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