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: 0.0086

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7015        | 1.0   | 6    | 2.0207          |
| 1.7126        | 2.0   | 12   | 1.2868          |
| 1.1107        | 3.0   | 18   | 0.9127          |
| 0.8465        | 4.0   | 24   | 0.7797          |
| 0.749         | 5.0   | 30   | 0.7586          |
| 0.71          | 6.0   | 36   | 0.6566          |
| 0.6332        | 7.0   | 42   | 0.6026          |
| 0.5757        | 8.0   | 48   | 0.5232          |
| 0.5054        | 9.0   | 54   | 0.4744          |
| 0.4469        | 10.0  | 60   | 0.3915          |
| 0.3736        | 11.0  | 66   | 0.3214          |
| 0.314         | 12.0  | 72   | 0.2855          |
| 0.282         | 13.0  | 78   | 0.2260          |
| 0.2234        | 14.0  | 84   | 0.2077          |
| 0.2157        | 15.0  | 90   | 0.1623          |
| 0.1647        | 16.0  | 96   | 0.1344          |
| 0.1505        | 17.0  | 102  | 0.1246          |
| 0.1342        | 18.0  | 108  | 0.1086          |
| 0.1104        | 19.0  | 114  | 0.0998          |
| 0.098         | 20.0  | 120  | 0.0788          |
| 0.0829        | 21.0  | 126  | 0.0575          |
| 0.0706        | 22.0  | 132  | 0.0496          |
| 0.0639        | 23.0  | 138  | 0.0425          |
| 0.0544        | 24.0  | 144  | 0.0352          |
| 0.0478        | 25.0  | 150  | 0.0316          |
| 0.0435        | 26.0  | 156  | 0.0255          |
| 0.0368        | 27.0  | 162  | 0.0237          |
| 0.0314        | 28.0  | 168  | 0.0215          |
| 0.0313        | 29.0  | 174  | 0.0175          |
| 0.0281        | 30.0  | 180  | 0.0157          |
| 0.0319        | 31.0  | 186  | 0.0132          |
| 0.0235        | 32.0  | 192  | 0.0117          |
| 0.0207        | 33.0  | 198  | 0.0112          |
| 0.0178        | 34.0  | 204  | 0.0104          |
| 0.0184        | 35.0  | 210  | 0.0098          |
| 0.0176        | 36.0  | 216  | 0.0092          |
| 0.0161        | 37.0  | 222  | 0.0092          |
| 0.0167        | 38.0  | 228  | 0.0090          |
| 0.0154        | 39.0  | 234  | 0.0087          |
| 0.0155        | 40.0  | 240  | 0.0086          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
