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: 2.9524

## 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: 0.01
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6485        | 1.0   | 6    | 3.2312          |
| 3.1316        | 2.0   | 12   | 2.9996          |
| 3.037         | 3.0   | 18   | 3.0512          |
| 3.0193        | 4.0   | 24   | 3.0006          |
| 2.9967        | 5.0   | 30   | 2.9620          |
| 2.9847        | 6.0   | 36   | 2.9710          |
| 2.9765        | 7.0   | 42   | 2.9646          |
| 2.9729        | 8.0   | 48   | 2.9598          |
| 2.9755        | 9.0   | 54   | 2.9601          |
| 2.9644        | 10.0  | 60   | 2.9621          |
| 2.967         | 11.0  | 66   | 2.9609          |
| 2.9713        | 12.0  | 72   | 2.9563          |
| 2.9704        | 13.0  | 78   | 2.9534          |
| 2.9708        | 14.0  | 84   | 2.9552          |
| 2.9582        | 15.0  | 90   | 2.9530          |
| 2.9729        | 16.0  | 96   | 2.9547          |
| 2.9628        | 17.0  | 102  | 2.9576          |
| 2.9621        | 18.0  | 108  | 2.9559          |
| 2.968         | 19.0  | 114  | 2.9524          |
| 2.9663        | 20.0  | 120  | 2.9556          |
| 2.9609        | 21.0  | 126  | 2.9534          |
| 2.9661        | 22.0  | 132  | 2.9523          |
| 2.9563        | 23.0  | 138  | 2.9593          |
| 2.9656        | 24.0  | 144  | 2.9551          |
| 2.9604        | 25.0  | 150  | 2.9534          |
| 2.9694        | 26.0  | 156  | 2.9525          |
| 2.9636        | 27.0  | 162  | 2.9522          |
| 2.9561        | 28.0  | 168  | 2.9535          |
| 2.9762        | 29.0  | 174  | 2.9548          |
| 2.962         | 30.0  | 180  | 2.9530          |
| 2.9537        | 31.0  | 186  | 2.9501          |
| 2.9592        | 32.0  | 192  | 2.9513          |
| 2.9695        | 33.0  | 198  | 2.9519          |
| 2.9664        | 34.0  | 204  | 2.9527          |
| 2.9594        | 35.0  | 210  | 2.9532          |
| 2.9582        | 36.0  | 216  | 2.9529          |
| 2.9718        | 37.0  | 222  | 2.9533          |
| 2.9563        | 38.0  | 228  | 2.9530          |
| 2.9599        | 39.0  | 234  | 2.9525          |
| 2.9615        | 40.0  | 240  | 2.9524          |


### Framework versions

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