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: 0.1333

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9526        | 1.0   | 6    | 2.2864          |
| 2.0549        | 2.0   | 12   | 1.7909          |
| 1.6519        | 3.0   | 18   | 1.4416          |
| 1.3484        | 4.0   | 24   | 1.2007          |
| 1.1103        | 5.0   | 30   | 1.0371          |
| 0.9763        | 6.0   | 36   | 0.9188          |
| 0.8829        | 7.0   | 42   | 0.8155          |
| 0.7861        | 8.0   | 48   | 0.7443          |
| 0.733         | 9.0   | 54   | 0.7678          |
| 0.7173        | 10.0  | 60   | 0.6706          |
| 0.6693        | 11.0  | 66   | 0.6274          |
| 0.6285        | 12.0  | 72   | 0.6015          |
| 0.5992        | 13.0  | 78   | 0.5695          |
| 0.5559        | 14.0  | 84   | 0.5178          |
| 0.5266        | 15.0  | 90   | 0.4944          |
| 0.5091        | 16.0  | 96   | 0.4834          |
| 0.5115        | 17.0  | 102  | 0.4531          |
| 0.4719        | 18.0  | 108  | 0.4386          |
| 0.4503        | 19.0  | 114  | 0.4231          |
| 0.4237        | 20.0  | 120  | 0.4014          |
| 0.439         | 21.0  | 126  | 0.4088          |
| 0.3869        | 22.0  | 132  | 0.3689          |
| 0.3628        | 23.0  | 138  | 0.3634          |
| 0.3625        | 24.0  | 144  | 0.3437          |
| 0.3284        | 25.0  | 150  | 0.3134          |
| 0.3139        | 26.0  | 156  | 0.2997          |
| 0.3062        | 27.0  | 162  | 0.2816          |
| 0.2978        | 28.0  | 168  | 0.2593          |
| 0.2754        | 29.0  | 174  | 0.2343          |
| 0.2443        | 30.0  | 180  | 0.2220          |
| 0.2433        | 31.0  | 186  | 0.2064          |
| 0.2232        | 32.0  | 192  | 0.1869          |
| 0.2157        | 33.0  | 198  | 0.1824          |
| 0.2129        | 34.0  | 204  | 0.1657          |
| 0.1871        | 35.0  | 210  | 0.1605          |
| 0.1836        | 36.0  | 216  | 0.1520          |
| 0.1816        | 37.0  | 222  | 0.1456          |
| 0.1652        | 38.0  | 228  | 0.1377          |
| 0.1903        | 39.0  | 234  | 0.1338          |
| 0.1713        | 40.0  | 240  | 0.1333          |


### Framework versions

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