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: 0.1171

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9048        | 1.0   | 12   | 2.1270          |
| 1.9316        | 2.0   | 24   | 1.6532          |
| 1.4738        | 3.0   | 36   | 1.2096          |
| 0.9811        | 4.0   | 48   | 0.6866          |
| 0.6247        | 5.0   | 60   | 0.5666          |
| 0.5433        | 6.0   | 72   | 0.5106          |
| 0.4772        | 7.0   | 84   | 0.4398          |
| 0.4271        | 8.0   | 96   | 0.3991          |
| 0.3906        | 9.0   | 108  | 0.3674          |
| 0.3565        | 10.0  | 120  | 0.3397          |
| 0.3301        | 11.0  | 132  | 0.2913          |
| 0.2869        | 12.0  | 144  | 0.2633          |
| 0.2616        | 13.0  | 156  | 0.2313          |
| 0.2375        | 14.0  | 168  | 0.2168          |
| 0.2218        | 15.0  | 180  | 0.1979          |
| 0.2127        | 16.0  | 192  | 0.1937          |
| 0.2008        | 17.0  | 204  | 0.1870          |
| 0.1933        | 18.0  | 216  | 0.1886          |
| 0.1857        | 19.0  | 228  | 0.1726          |
| 0.1801        | 20.0  | 240  | 0.1682          |
| 0.1722        | 21.0  | 252  | 0.1655          |
| 0.168         | 22.0  | 264  | 0.1604          |
| 0.1644        | 23.0  | 276  | 0.1530          |
| 0.1644        | 24.0  | 288  | 0.1574          |
| 0.1582        | 25.0  | 300  | 0.1477          |
| 0.1551        | 26.0  | 312  | 0.1460          |
| 0.1523        | 27.0  | 324  | 0.1458          |
| 0.1471        | 28.0  | 336  | 0.1365          |
| 0.1463        | 29.0  | 348  | 0.1385          |
| 0.1393        | 30.0  | 360  | 0.1364          |
| 0.1355        | 31.0  | 372  | 0.1324          |
| 0.134         | 32.0  | 384  | 0.1309          |
| 0.1315        | 33.0  | 396  | 0.1274          |
| 0.1317        | 34.0  | 408  | 0.1243          |
| 0.1266        | 35.0  | 420  | 0.1223          |
| 0.1248        | 36.0  | 432  | 0.1206          |
| 0.1232        | 37.0  | 444  | 0.1211          |
| 0.1217        | 38.0  | 456  | 0.1178          |
| 0.1208        | 39.0  | 468  | 0.1166          |
| 0.1208        | 40.0  | 480  | 0.1171          |


### Framework versions

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