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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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: 0.4927

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6077        | 1.0   | 41   | 2.0310          |
| 1.6982        | 2.0   | 82   | 1.5525          |
| 1.5473        | 3.0   | 123  | 1.5432          |
| 1.5418        | 4.0   | 164  | 1.5405          |
| 1.5401        | 5.0   | 205  | 1.5405          |
| 1.5387        | 6.0   | 246  | 1.5401          |
| 1.5366        | 7.0   | 287  | 1.5359          |
| 1.5292        | 8.0   | 328  | 1.5337          |
| 1.5289        | 9.0   | 369  | 1.5313          |
| 1.5248        | 10.0  | 410  | 1.5324          |
| 1.5174        | 11.0  | 451  | 1.5129          |
| 1.4809        | 12.0  | 492  | 1.4740          |
| 1.4456        | 13.0  | 533  | 1.4299          |
| 1.3497        | 14.0  | 574  | 1.2158          |
| 1.1149        | 15.0  | 615  | 0.9632          |
| 0.8827        | 16.0  | 656  | 0.7687          |
| 0.7432        | 17.0  | 697  | 0.6696          |
| 0.6651        | 18.0  | 738  | 0.6081          |
| 0.614         | 19.0  | 779  | 0.5694          |
| 0.5734        | 20.0  | 820  | 0.5423          |
| 0.5422        | 21.0  | 861  | 0.5248          |
| 0.5221        | 22.0  | 902  | 0.5087          |
| 0.5089        | 23.0  | 943  | 0.5026          |
| 0.4984        | 24.0  | 984  | 0.4946          |
| 0.4857        | 25.0  | 1025 | 0.4880          |
| 0.4778        | 26.0  | 1066 | 0.4881          |
| 0.4739        | 27.0  | 1107 | 0.4882          |
| 0.4698        | 28.0  | 1148 | 0.4853          |
| 0.4628        | 29.0  | 1189 | 0.4862          |
| 0.4581        | 30.0  | 1230 | 0.4849          |
| 0.4537        | 31.0  | 1271 | 0.4839          |
| 0.4504        | 32.0  | 1312 | 0.4871          |
| 0.4467        | 33.0  | 1353 | 0.4867          |
| 0.4438        | 34.0  | 1394 | 0.4886          |
| 0.4395        | 35.0  | 1435 | 0.4899          |
| 0.4362        | 36.0  | 1476 | 0.4903          |
| 0.4338        | 37.0  | 1517 | 0.4910          |
| 0.4304        | 38.0  | 1558 | 0.4913          |
| 0.4274        | 39.0  | 1599 | 0.4928          |
| 0.4252        | 40.0  | 1640 | 0.4927          |


### Framework versions

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