---
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: 0.5538

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4511        | 1.0   | 5    | 2.8467          |
| 2.5181        | 2.0   | 10   | 2.1116          |
| 1.9303        | 3.0   | 15   | 1.7151          |
| 1.6577        | 4.0   | 20   | 1.5789          |
| 1.5651        | 5.0   | 25   | 1.5754          |
| 1.5127        | 6.0   | 30   | 1.5309          |
| 1.4740        | 7.0   | 35   | 1.4478          |
| 1.4122        | 8.0   | 40   | 1.4028          |
| 1.3682        | 9.0   | 45   | 1.3378          |
| 1.3127        | 10.0  | 50   | 1.2629          |
| 1.2188        | 11.0  | 55   | 1.1926          |
| 1.1528        | 12.0  | 60   | 1.1110          |
| 1.0918        | 13.0  | 65   | 1.0502          |
| 1.0482        | 14.0  | 70   | 1.0344          |
| 1.0041        | 15.0  | 75   | 0.9841          |
| 0.9944        | 16.0  | 80   | 0.9972          |
| 0.9652        | 17.0  | 85   | 0.9387          |
| 0.9474        | 18.0  | 90   | 0.9364          |
| 0.9464        | 19.0  | 95   | 0.8833          |
| 0.8842        | 20.0  | 100  | 0.8297          |
| 0.8439        | 21.0  | 105  | 0.8420          |
| 0.8259        | 22.0  | 110  | 0.8106          |
| 0.8101        | 23.0  | 115  | 0.7762          |
| 0.7815        | 24.0  | 120  | 0.7527          |
| 0.7651        | 25.0  | 125  | 0.7202          |
| 0.7371        | 26.0  | 130  | 0.7016          |
| 0.7205        | 27.0  | 135  | 0.6782          |
| 0.7045        | 28.0  | 140  | 0.6595          |
| 0.6867        | 29.0  | 145  | 0.6433          |
| 0.6672        | 30.0  | 150  | 0.6401          |
| 0.6627        | 31.0  | 155  | 0.6267          |
| 0.6433        | 32.0  | 160  | 0.6054          |
| 0.6396        | 33.0  | 165  | 0.6003          |
| 0.6211        | 34.0  | 170  | 0.5905          |
| 0.6128        | 35.0  | 175  | 0.5826          |
| 0.6134        | 36.0  | 180  | 0.5728          |
| 0.6001        | 37.0  | 185  | 0.5680          |
| 0.5967        | 38.0  | 190  | 0.5584          |
| 0.5884        | 39.0  | 195  | 0.5570          |
| 0.5887        | 40.0  | 200  | 0.5538          |


### Framework versions

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