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: 0.0095

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4753        | 1.0   | 13   | 1.7336          |
| 1.3843        | 2.0   | 26   | 0.9380          |
| 0.8281        | 3.0   | 39   | 0.7141          |
| 0.6509        | 4.0   | 52   | 0.5507          |
| 0.5643        | 5.0   | 65   | 0.5065          |
| 0.5155        | 6.0   | 78   | 0.4642          |
| 0.445         | 7.0   | 91   | 0.3848          |
| 0.3912        | 8.0   | 104  | 0.3584          |
| 0.3564        | 9.0   | 117  | 0.3142          |
| 0.3175        | 10.0  | 130  | 0.2663          |
| 0.2765        | 11.0  | 143  | 0.2291          |
| 0.2436        | 12.0  | 156  | 0.1915          |
| 0.2186        | 13.0  | 169  | 0.1556          |
| 0.1646        | 14.0  | 182  | 0.1097          |
| 0.1504        | 15.0  | 195  | 0.0862          |
| 0.113         | 16.0  | 208  | 0.0725          |
| 0.0864        | 17.0  | 221  | 0.0500          |
| 0.0722        | 18.0  | 234  | 0.0425          |
| 0.0654        | 19.0  | 247  | 0.0389          |
| 0.0581        | 20.0  | 260  | 0.0312          |
| 0.052         | 21.0  | 273  | 0.0284          |
| 0.0459        | 22.0  | 286  | 0.0275          |
| 0.0426        | 23.0  | 299  | 0.0213          |
| 0.0381        | 24.0  | 312  | 0.0200          |
| 0.0374        | 25.0  | 325  | 0.0186          |
| 0.0334        | 26.0  | 338  | 0.0185          |
| 0.0307        | 27.0  | 351  | 0.0157          |
| 0.0292        | 28.0  | 364  | 0.0147          |
| 0.0269        | 29.0  | 377  | 0.0146          |
| 0.0261        | 30.0  | 390  | 0.0129          |
| 0.0248        | 31.0  | 403  | 0.0121          |
| 0.0237        | 32.0  | 416  | 0.0114          |
| 0.023         | 33.0  | 429  | 0.0115          |
| 0.0217        | 34.0  | 442  | 0.0109          |
| 0.0208        | 35.0  | 455  | 0.0101          |
| 0.0205        | 36.0  | 468  | 0.0102          |
| 0.0197        | 37.0  | 481  | 0.0098          |
| 0.0193        | 38.0  | 494  | 0.0096          |
| 0.019         | 39.0  | 507  | 0.0094          |
| 0.0188        | 40.0  | 520  | 0.0095          |


### Framework versions

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