---
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: 0.6320

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6895        | 1.0   | 6    | 3.1719          |
| 2.7383        | 2.0   | 12   | 2.2173          |
| 1.9854        | 3.0   | 18   | 1.7814          |
| 1.6898        | 4.0   | 24   | 1.5993          |
| 1.5871        | 5.0   | 30   | 1.5507          |
| 1.5619        | 6.0   | 36   | 1.5297          |
| 1.5216        | 7.0   | 42   | 1.5010          |
| 1.4893        | 8.0   | 48   | 1.4371          |
| 1.4330        | 9.0   | 54   | 1.3921          |
| 1.3753        | 10.0  | 60   | 1.4316          |
| 1.3430        | 11.0  | 66   | 1.3675          |
| 1.3109        | 12.0  | 72   | 1.3689          |
| 1.3134        | 13.0  | 78   | 1.2672          |
| 1.2309        | 14.0  | 84   | 1.1653          |
| 1.1557        | 15.0  | 90   | 1.1145          |
| 1.1064        | 16.0  | 96   | 1.1759          |
| 1.1231        | 17.0  | 102  | 1.0402          |
| 1.0341        | 18.0  | 108  | 0.9800          |
| 0.9828        | 19.0  | 114  | 0.9416          |
| 0.9655        | 20.0  | 120  | 0.8970          |
| 0.9205        | 21.0  | 126  | 0.9106          |
| 0.9365        | 22.0  | 132  | 0.9576          |
| 0.9380        | 23.0  | 138  | 0.8321          |
| 0.8842        | 24.0  | 144  | 0.8368          |
| 0.8462        | 25.0  | 150  | 0.8256          |
| 0.8407        | 26.0  | 156  | 0.7950          |
| 0.8244        | 27.0  | 162  | 0.7829          |
| 0.7980        | 28.0  | 168  | 0.7511          |
| 0.7729        | 29.0  | 174  | 0.7392          |
| 0.7615        | 30.0  | 180  | 0.7141          |
| 0.7358        | 31.0  | 186  | 0.7183          |
| 0.7271        | 32.0  | 192  | 0.6933          |
| 0.7232        | 33.0  | 198  | 0.6689          |
| 0.7081        | 34.0  | 204  | 0.6842          |
| 0.7174        | 35.0  | 210  | 0.6742          |
| 0.7104        | 36.0  | 216  | 0.6678          |
| 0.7049        | 37.0  | 222  | 0.6516          |
| 0.6813        | 38.0  | 228  | 0.6380          |
| 0.6815        | 39.0  | 234  | 0.6345          |
| 0.6729        | 40.0  | 240  | 0.6320          |


### Framework versions

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