transformers tensorboard safetensors encoder-decoder text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: calculator_model_test
  results: []
---

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# 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: 0.0011

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3492        | 1.0   | 11   | 1.8446          |
| 1.6854        | 2.0   | 22   | 1.3965          |
| 1.1935        | 3.0   | 33   | 0.8348          |
| 0.5028        | 4.0   | 44   | 0.3122          |
| 0.2788        | 5.0   | 55   | 0.2400          |
| 0.2212        | 6.0   | 66   | 0.1893          |
| 0.1813        | 7.0   | 77   | 0.1544          |
| 0.1515        | 8.0   | 88   | 0.1281          |
| 0.1206        | 9.0   | 99   | 0.0903          |
| 0.087         | 10.0  | 110  | 0.0571          |
| 0.058         | 11.0  | 121  | 0.0359          |
| 0.0378        | 12.0  | 132  | 0.0204          |
| 0.0249        | 13.0  | 143  | 0.0126          |
| 0.0169        | 14.0  | 154  | 0.0085          |
| 0.0123        | 15.0  | 165  | 0.0061          |
| 0.009         | 16.0  | 176  | 0.0047          |
| 0.0073        | 17.0  | 187  | 0.0037          |
| 0.006         | 18.0  | 198  | 0.0031          |
| 0.0049        | 19.0  | 209  | 0.0024          |
| 0.0043        | 20.0  | 220  | 0.0023          |
| 0.0037        | 21.0  | 231  | 0.0020          |
| 0.0033        | 22.0  | 242  | 0.0019          |
| 0.0032        | 23.0  | 253  | 0.0018          |
| 0.003         | 24.0  | 264  | 0.0016          |
| 0.0025        | 25.0  | 275  | 0.0015          |
| 0.0024        | 26.0  | 286  | 0.0014          |
| 0.0023        | 27.0  | 297  | 0.0014          |
| 0.0022        | 28.0  | 308  | 0.0014          |
| 0.0021        | 29.0  | 319  | 0.0013          |
| 0.002         | 30.0  | 330  | 0.0012          |
| 0.0019        | 31.0  | 341  | 0.0012          |
| 0.0018        | 32.0  | 352  | 0.0012          |
| 0.0018        | 33.0  | 363  | 0.0012          |
| 0.0017        | 34.0  | 374  | 0.0011          |
| 0.0018        | 35.0  | 385  | 0.0011          |
| 0.0018        | 36.0  | 396  | 0.0011          |
| 0.0017        | 37.0  | 407  | 0.0011          |
| 0.0016        | 38.0  | 418  | 0.0011          |
| 0.0016        | 39.0  | 429  | 0.0011          |
| 0.0015        | 40.0  | 440  | 0.0011          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
