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: 0.7408

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4176        | 1.0   | 6    | 2.8127          |
| 2.4296        | 2.0   | 12   | 2.0690          |
| 1.8443        | 3.0   | 18   | 1.6885          |
| 1.6666        | 4.0   | 24   | 1.5769          |
| 1.5906        | 5.0   | 30   | 1.5903          |
| 1.5582        | 6.0   | 36   | 1.5658          |
| 1.5621        | 7.0   | 42   | 1.5468          |
| 1.5217        | 8.0   | 48   | 1.5043          |
| 1.4893        | 9.0   | 54   | 1.4836          |
| 1.4929        | 10.0  | 60   | 1.4403          |
| 1.4309        | 11.0  | 66   | 1.4263          |
| 1.4353        | 12.0  | 72   | 1.3740          |
| 1.3626        | 13.0  | 78   | 1.2495          |
| 1.2713        | 14.0  | 84   | 1.2969          |
| 1.2557        | 15.0  | 90   | 1.2570          |
| 1.2188        | 16.0  | 96   | 1.1866          |
| 1.1469        | 17.0  | 102  | 1.1291          |
| 1.1023        | 18.0  | 108  | 1.0906          |
| 1.0688        | 19.0  | 114  | 1.0346          |
| 1.0314        | 20.0  | 120  | 1.1635          |
| 1.0971        | 21.0  | 126  | 1.1421          |
| 1.0944        | 22.0  | 132  | 0.9807          |
| 1.0208        | 23.0  | 138  | 1.0720          |
| 1.0365        | 24.0  | 144  | 0.9644          |
| 0.97          | 25.0  | 150  | 0.9323          |
| 0.9316        | 26.0  | 156  | 0.8888          |
| 0.9112        | 27.0  | 162  | 0.9156          |
| 0.8913        | 28.0  | 168  | 0.9113          |
| 0.8733        | 29.0  | 174  | 0.8876          |
| 0.8755        | 30.0  | 180  | 0.8725          |
| 0.8578        | 31.0  | 186  | 0.8051          |
| 0.8409        | 32.0  | 192  | 0.8311          |
| 0.8363        | 33.0  | 198  | 0.7970          |
| 0.803         | 34.0  | 204  | 0.7995          |
| 0.8088        | 35.0  | 210  | 0.7723          |
| 0.7882        | 36.0  | 216  | 0.7635          |
| 0.7851        | 37.0  | 222  | 0.7551          |
| 0.7775        | 38.0  | 228  | 0.7460          |
| 0.7979        | 39.0  | 234  | 0.7429          |
| 0.7852        | 40.0  | 240  | 0.7408          |


### Framework versions

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