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: 0.0034

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.774         | 1.0   | 6    | 0.6889          |
| 0.6421        | 2.0   | 12   | 0.5684          |
| 0.5589        | 3.0   | 18   | 0.5287          |
| 0.5027        | 4.0   | 24   | 0.4892          |
| 0.4758        | 5.0   | 30   | 0.4412          |
| 0.4368        | 6.0   | 36   | 0.3770          |
| 0.3433        | 7.0   | 42   | 0.3218          |
| 0.2925        | 8.0   | 48   | 0.2518          |
| 0.2501        | 9.0   | 54   | 0.2048          |
| 0.2011        | 10.0  | 60   | 0.1582          |
| 0.1645        | 11.0  | 66   | 0.1267          |
| 0.1205        | 12.0  | 72   | 0.1078          |
| 0.1064        | 13.0  | 78   | 0.1005          |
| 0.0961        | 14.0  | 84   | 0.0677          |
| 0.0953        | 15.0  | 90   | 0.0549          |
| 0.069         | 16.0  | 96   | 0.0480          |
| 0.0593        | 17.0  | 102  | 0.0371          |
| 0.0516        | 18.0  | 108  | 0.0292          |
| 0.0436        | 19.0  | 114  | 0.0242          |
| 0.0381        | 20.0  | 120  | 0.0252          |
| 0.035         | 21.0  | 126  | 0.0157          |
| 0.0341        | 22.0  | 132  | 0.0135          |
| 0.0361        | 23.0  | 138  | 0.0140          |
| 0.0292        | 24.0  | 144  | 0.0117          |
| 0.0245        | 25.0  | 150  | 0.0131          |
| 0.0223        | 26.0  | 156  | 0.0082          |
| 0.0216        | 27.0  | 162  | 0.0093          |
| 0.0156        | 28.0  | 168  | 0.0073          |
| 0.0135        | 29.0  | 174  | 0.0054          |
| 0.0113        | 30.0  | 180  | 0.0052          |
| 0.0108        | 31.0  | 186  | 0.0045          |
| 0.0084        | 32.0  | 192  | 0.0042          |
| 0.0084        | 33.0  | 198  | 0.0039          |
| 0.0074        | 34.0  | 204  | 0.0037          |
| 0.007         | 35.0  | 210  | 0.0036          |
| 0.0067        | 36.0  | 216  | 0.0036          |
| 0.0065        | 37.0  | 222  | 0.0035          |
| 0.0066        | 38.0  | 228  | 0.0034          |
| 0.0066        | 39.0  | 234  | 0.0034          |
| 0.0064        | 40.0  | 240  | 0.0034          |


### Framework versions

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