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: 0.0455

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7845        | 1.0   | 6    | 2.1181          |
| 1.8407        | 2.0   | 12   | 1.5060          |
| 1.2932        | 3.0   | 18   | 1.0056          |
| 0.8986        | 4.0   | 24   | 0.8024          |
| 0.741         | 5.0   | 30   | 0.7078          |
| 0.6482        | 6.0   | 36   | 0.5938          |
| 0.5563        | 7.0   | 42   | 0.5336          |
| 0.498         | 8.0   | 48   | 0.4787          |
| 0.4542        | 9.0   | 54   | 0.4216          |
| 0.4078        | 10.0  | 60   | 0.4064          |
| 0.3819        | 11.0  | 66   | 0.3621          |
| 0.3536        | 12.0  | 72   | 0.3261          |
| 0.318         | 13.0  | 78   | 0.2967          |
| 0.2913        | 14.0  | 84   | 0.2793          |
| 0.2734        | 15.0  | 90   | 0.2498          |
| 0.2549        | 16.0  | 96   | 0.2557          |
| 0.2541        | 17.0  | 102  | 0.2252          |
| 0.2274        | 18.0  | 108  | 0.2301          |
| 0.2272        | 19.0  | 114  | 0.2112          |
| 0.1963        | 20.0  | 120  | 0.1780          |
| 0.1744        | 21.0  | 126  | 0.1734          |
| 0.1805        | 22.0  | 132  | 0.1520          |
| 0.1599        | 23.0  | 138  | 0.1314          |
| 0.1517        | 24.0  | 144  | 0.1364          |
| 0.1469        | 25.0  | 150  | 0.1583          |
| 0.1524        | 26.0  | 156  | 0.1381          |
| 0.1411        | 27.0  | 162  | 0.1048          |
| 0.1196        | 28.0  | 168  | 0.0964          |
| 0.1095        | 29.0  | 174  | 0.0900          |
| 0.1068        | 30.0  | 180  | 0.0798          |
| 0.0985        | 31.0  | 186  | 0.0742          |
| 0.0897        | 32.0  | 192  | 0.0677          |
| 0.0839        | 33.0  | 198  | 0.0638          |
| 0.0756        | 34.0  | 204  | 0.0579          |
| 0.0771        | 35.0  | 210  | 0.0555          |
| 0.0709        | 36.0  | 216  | 0.0507          |
| 0.068         | 37.0  | 222  | 0.0482          |
| 0.0657        | 38.0  | 228  | 0.0472          |
| 0.0661        | 39.0  | 234  | 0.0466          |
| 0.0643        | 40.0  | 240  | 0.0455          |


### Framework versions

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