---
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: 0.7002

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4966        | 1.0   | 5    | 2.9381          |
| 2.5644        | 2.0   | 10   | 2.1833          |
| 1.9501        | 3.0   | 15   | 1.7482          |
| 1.6572        | 4.0   | 20   | 1.6286          |
| 1.5672        | 5.0   | 25   | 1.5984          |
| 1.5456        | 6.0   | 30   | 1.5522          |
| 1.5138        | 7.0   | 35   | 1.5623          |
| 1.5187        | 8.0   | 40   | 1.5271          |
| 1.4693        | 9.0   | 45   | 1.4929          |
| 1.4264        | 10.0  | 50   | 1.4364          |
| 1.3861        | 11.0  | 55   | 1.3868          |
| 1.3580        | 12.0  | 60   | 1.3506          |
| 1.3041        | 13.0  | 65   | 1.3024          |
| 1.2614        | 14.0  | 70   | 1.2353          |
| 1.1888        | 15.0  | 75   | 1.1557          |
| 1.1243        | 16.0  | 80   | 1.0897          |
| 1.0817        | 17.0  | 85   | 1.0597          |
| 1.0505        | 18.0  | 90   | 1.0613          |
| 1.0286        | 19.0  | 95   | 0.9825          |
| 0.9680        | 20.0  | 100  | 0.9919          |
| 0.9733        | 21.0  | 105  | 0.9443          |
| 0.9319        | 22.0  | 110  | 0.9685          |
| 0.9913        | 23.0  | 115  | 0.9770          |
| 0.9304        | 24.0  | 120  | 0.9019          |
| 0.8845        | 25.0  | 125  | 0.8840          |
| 0.8630        | 26.0  | 130  | 0.8568          |
| 0.8613        | 27.0  | 135  | 0.8521          |
| 0.8631        | 28.0  | 140  | 0.8390          |
| 0.8458        | 29.0  | 145  | 0.8094          |
| 0.8052        | 30.0  | 150  | 0.7904          |
| 0.7919        | 31.0  | 155  | 0.8096          |
| 0.7809        | 32.0  | 160  | 0.7677          |
| 0.7595        | 33.0  | 165  | 0.7542          |
| 0.7481        | 34.0  | 170  | 0.7461          |
| 0.7381        | 35.0  | 175  | 0.7301          |
| 0.7230        | 36.0  | 180  | 0.7188          |
| 0.7149        | 37.0  | 185  | 0.7115          |
| 0.7137        | 38.0  | 190  | 0.7115          |
| 0.7057        | 39.0  | 195  | 0.7009          |
| 0.7026        | 40.0  | 200  | 0.7002          |


### Framework versions

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