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: 0.6619

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3473        | 1.0   | 6    | 2.7247          |
| 2.3527        | 2.0   | 12   | 1.9354          |
| 1.825         | 3.0   | 18   | 1.6728          |
| 1.6407        | 4.0   | 24   | 1.5858          |
| 1.5855        | 5.0   | 30   | 1.5447          |
| 1.5394        | 6.0   | 36   | 1.5319          |
| 1.534         | 7.0   | 42   | 1.5225          |
| 1.5094        | 8.0   | 48   | 1.5909          |
| 1.5007        | 9.0   | 54   | 1.4836          |
| 1.485         | 10.0  | 60   | 1.4084          |
| 1.378         | 11.0  | 66   | 1.5103          |
| 1.4233        | 12.0  | 72   | 1.3968          |
| 1.3443        | 13.0  | 78   | 1.3014          |
| 1.3112        | 14.0  | 84   | 1.2836          |
| 1.2276        | 15.0  | 90   | 1.1906          |
| 1.1665        | 16.0  | 96   | 1.1611          |
| 1.1533        | 17.0  | 102  | 1.0644          |
| 1.0948        | 18.0  | 108  | 1.0426          |
| 1.0375        | 19.0  | 114  | 1.0362          |
| 1.0114        | 20.0  | 120  | 0.9836          |
| 1.0002        | 21.0  | 126  | 0.9499          |
| 0.9633        | 22.0  | 132  | 0.8812          |
| 0.923         | 23.0  | 138  | 0.8850          |
| 0.9197        | 24.0  | 144  | 0.8646          |
| 0.875         | 25.0  | 150  | 0.8264          |
| 0.8645        | 26.0  | 156  | 0.8182          |
| 0.8398        | 27.0  | 162  | 0.7980          |
| 0.8313        | 28.0  | 168  | 0.7804          |
| 0.7947        | 29.0  | 174  | 0.7572          |
| 0.7929        | 30.0  | 180  | 0.7846          |
| 0.7809        | 31.0  | 186  | 0.7695          |
| 0.7655        | 32.0  | 192  | 0.7372          |
| 0.7692        | 33.0  | 198  | 0.7230          |
| 0.7658        | 34.0  | 204  | 0.7236          |
| 0.7587        | 35.0  | 210  | 0.7068          |
| 0.7389        | 36.0  | 216  | 0.6952          |
| 0.7244        | 37.0  | 222  | 0.6792          |
| 0.7087        | 38.0  | 228  | 0.6692          |
| 0.7031        | 39.0  | 234  | 0.6634          |
| 0.7026        | 40.0  | 240  | 0.6619          |


### Framework versions

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