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
should probably proofread and complete it, then remove this comment. -->

# 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: 0.0909

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.928         | 1.0   | 6    | 2.2384          |
| 1.994         | 2.0   | 12   | 1.7009          |
| 1.5069        | 3.0   | 18   | 1.2937          |
| 1.1935        | 4.0   | 24   | 1.1334          |
| 1.0548        | 5.0   | 30   | 0.9714          |
| 0.9261        | 6.0   | 36   | 0.8736          |
| 0.8355        | 7.0   | 42   | 0.7772          |
| 0.7459        | 8.0   | 48   | 0.7135          |
| 0.6821        | 9.0   | 54   | 0.6394          |
| 0.6268        | 10.0  | 60   | 0.5985          |
| 0.5906        | 11.0  | 66   | 0.5664          |
| 0.5521        | 12.0  | 72   | 0.5647          |
| 0.5535        | 13.0  | 78   | 0.5673          |
| 0.5531        | 14.0  | 84   | 0.4928          |
| 0.4741        | 15.0  | 90   | 0.4800          |
| 0.4655        | 16.0  | 96   | 0.4641          |
| 0.4527        | 17.0  | 102  | 0.4285          |
| 0.4072        | 18.0  | 108  | 0.3956          |
| 0.39          | 19.0  | 114  | 0.3738          |
| 0.3573        | 20.0  | 120  | 0.3478          |
| 0.3423        | 21.0  | 126  | 0.3087          |
| 0.3111        | 22.0  | 132  | 0.2840          |
| 0.2909        | 23.0  | 138  | 0.2555          |
| 0.2574        | 24.0  | 144  | 0.2241          |
| 0.2423        | 25.0  | 150  | 0.2157          |
| 0.2212        | 26.0  | 156  | 0.1817          |
| 0.2042        | 27.0  | 162  | 0.1823          |
| 0.1849        | 28.0  | 168  | 0.1592          |
| 0.1764        | 29.0  | 174  | 0.1436          |
| 0.1626        | 30.0  | 180  | 0.1327          |
| 0.1617        | 31.0  | 186  | 0.1239          |
| 0.1441        | 32.0  | 192  | 0.1220          |
| 0.1451        | 33.0  | 198  | 0.1132          |
| 0.1327        | 34.0  | 204  | 0.1062          |
| 0.1276        | 35.0  | 210  | 0.1023          |
| 0.1237        | 36.0  | 216  | 0.1011          |
| 0.1183        | 37.0  | 222  | 0.0959          |
| 0.1163        | 38.0  | 228  | 0.0949          |
| 0.1107        | 39.0  | 234  | 0.0915          |
| 0.116         | 40.0  | 240  | 0.0909          |


### Framework versions

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