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: 0.1142

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9994        | 1.0   | 6    | 2.3829          |
| 2.1071        | 2.0   | 12   | 1.8146          |
| 1.6604        | 3.0   | 18   | 1.4548          |
| 1.3344        | 4.0   | 24   | 1.2129          |
| 1.1057        | 5.0   | 30   | 1.1267          |
| 0.9979        | 6.0   | 36   | 0.9518          |
| 0.8972        | 7.0   | 42   | 0.8461          |
| 0.7958        | 8.0   | 48   | 0.7534          |
| 0.7312        | 9.0   | 54   | 0.7009          |
| 0.6649        | 10.0  | 60   | 0.6680          |
| 0.6393        | 11.0  | 66   | 0.7051          |
| 0.6601        | 12.0  | 72   | 0.6567          |
| 0.6068        | 13.0  | 78   | 0.5767          |
| 0.5647        | 14.0  | 84   | 0.5255          |
| 0.4983        | 15.0  | 90   | 0.4750          |
| 0.5041        | 16.0  | 96   | 0.4331          |
| 0.4763        | 17.0  | 102  | 0.4182          |
| 0.4353        | 18.0  | 108  | 0.3774          |
| 0.3764        | 19.0  | 114  | 0.3496          |
| 0.3449        | 20.0  | 120  | 0.3113          |
| 0.3256        | 21.0  | 126  | 0.2987          |
| 0.2946        | 22.0  | 132  | 0.2670          |
| 0.3009        | 23.0  | 138  | 0.2560          |
| 0.2382        | 24.0  | 144  | 0.2373          |
| 0.2447        | 25.0  | 150  | 0.2340          |
| 0.2641        | 26.0  | 156  | 0.3113          |
| 0.2926        | 27.0  | 162  | 0.1925          |
| 0.2231        | 28.0  | 168  | 0.1932          |
| 0.2826        | 29.0  | 174  | 0.1867          |
| 0.1928        | 30.0  | 180  | 0.1672          |
| 0.1924        | 31.0  | 186  | 0.1577          |
| 0.1727        | 32.0  | 192  | 0.1451          |
| 0.1715        | 33.0  | 198  | 0.1365          |
| 0.1582        | 34.0  | 204  | 0.1334          |
| 0.1606        | 35.0  | 210  | 0.1278          |
| 0.1556        | 36.0  | 216  | 0.1282          |
| 0.1355        | 37.0  | 222  | 0.1226          |
| 0.1305        | 38.0  | 228  | 0.1184          |
| 0.1494        | 39.0  | 234  | 0.1148          |
| 0.1392        | 40.0  | 240  | 0.1142          |


### Framework versions

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