---
library_name: transformers
base_model: pt430187/calculator_model_test
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 [pt430187/calculator_model_test](https://huggingface.co/pt430187/calculator_model_test) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6437

## 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: 1e-05
- 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: 60

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7873        | 1.0   | 6    | 0.7304          |
| 0.7842        | 2.0   | 12   | 0.7200          |
| 0.7695        | 3.0   | 18   | 0.7135          |
| 0.7704        | 4.0   | 24   | 0.7096          |
| 0.7592        | 5.0   | 30   | 0.7038          |
| 0.7514        | 6.0   | 36   | 0.7007          |
| 0.7428        | 7.0   | 42   | 0.6986          |
| 0.7328        | 8.0   | 48   | 0.6965          |
| 0.7498        | 9.0   | 54   | 0.6941          |
| 0.7548        | 10.0  | 60   | 0.6917          |
| 0.7523        | 11.0  | 66   | 0.6896          |
| 0.7469        | 12.0  | 72   | 0.6866          |
| 0.7519        | 13.0  | 78   | 0.6841          |
| 0.7429        | 14.0  | 84   | 0.6830          |
| 0.7311        | 15.0  | 90   | 0.6804          |
| 0.7241        | 16.0  | 96   | 0.6775          |
| 0.7400        | 17.0  | 102  | 0.6757          |
| 0.7224        | 18.0  | 108  | 0.6745          |
| 0.7311        | 19.0  | 114  | 0.6741          |
| 0.7377        | 20.0  | 120  | 0.6726          |
| 0.7249        | 21.0  | 126  | 0.6703          |
| 0.7326        | 22.0  | 132  | 0.6688          |
| 0.7181        | 23.0  | 138  | 0.6687          |
| 0.7384        | 24.0  | 144  | 0.6673          |
| 0.7146        | 25.0  | 150  | 0.6649          |
| 0.7232        | 26.0  | 156  | 0.6637          |
| 0.7190        | 27.0  | 162  | 0.6619          |
| 0.7250        | 28.0  | 168  | 0.6599          |
| 0.7236        | 29.0  | 174  | 0.6593          |
| 0.7261        | 30.0  | 180  | 0.6607          |
| 0.7203        | 31.0  | 186  | 0.6592          |
| 0.7278        | 32.0  | 192  | 0.6568          |
| 0.7066        | 33.0  | 198  | 0.6555          |
| 0.7183        | 34.0  | 204  | 0.6544          |
| 0.7074        | 35.0  | 210  | 0.6536          |
| 0.7265        | 36.0  | 216  | 0.6534          |
| 0.7120        | 37.0  | 222  | 0.6529          |
| 0.7215        | 38.0  | 228  | 0.6519          |
| 0.7147        | 39.0  | 234  | 0.6518          |
| 0.7211        | 40.0  | 240  | 0.6516          |
| 0.7143        | 41.0  | 246  | 0.6501          |
| 0.7069        | 42.0  | 252  | 0.6486          |
| 0.7063        | 43.0  | 258  | 0.6479          |
| 0.7090        | 44.0  | 264  | 0.6475          |
| 0.7055        | 45.0  | 270  | 0.6470          |
| 0.7021        | 46.0  | 276  | 0.6468          |
| 0.7142        | 47.0  | 282  | 0.6463          |
| 0.7211        | 48.0  | 288  | 0.6456          |
| 0.7098        | 49.0  | 294  | 0.6453          |
| 0.7150        | 50.0  | 300  | 0.6452          |
| 0.7147        | 51.0  | 306  | 0.6452          |
| 0.7114        | 52.0  | 312  | 0.6451          |
| 0.7076        | 53.0  | 318  | 0.6450          |
| 0.7286        | 54.0  | 324  | 0.6447          |
| 0.7008        | 55.0  | 330  | 0.6445          |
| 0.7004        | 56.0  | 336  | 0.6442          |
| 0.7087        | 57.0  | 342  | 0.6441          |
| 0.6944        | 58.0  | 348  | 0.6439          |
| 0.7045        | 59.0  | 354  | 0.6437          |
| 0.7096        | 60.0  | 360  | 0.6437          |


### Framework versions

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