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: 0.6587

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3715        | 1.0   | 6    | 2.7668          |
| 2.4459        | 2.0   | 12   | 2.0165          |
| 1.8589        | 3.0   | 18   | 1.7392          |
| 1.7744        | 4.0   | 24   | 1.6714          |
| 1.6018        | 5.0   | 30   | 1.5897          |
| 1.4921        | 6.0   | 36   | 1.5386          |
| 1.4816        | 7.0   | 42   | 1.4612          |
| 1.4355        | 8.0   | 48   | 1.4503          |
| 1.33          | 9.0   | 54   | 1.3248          |
| 1.2827        | 10.0  | 60   | 1.2280          |
| 1.234         | 11.0  | 66   | 1.2248          |
| 1.2229        | 12.0  | 72   | 1.3745          |
| 1.2522        | 13.0  | 78   | 1.1725          |
| 1.1299        | 14.0  | 84   | 1.0781          |
| 1.0669        | 15.0  | 90   | 1.0417          |
| 1.0125        | 16.0  | 96   | 1.0053          |
| 0.9977        | 17.0  | 102  | 1.0263          |
| 1.0611        | 18.0  | 108  | 1.0528          |
| 1.0357        | 19.0  | 114  | 0.9557          |
| 0.927         | 20.0  | 120  | 0.9334          |
| 0.9075        | 21.0  | 126  | 0.8948          |
| 0.8795        | 22.0  | 132  | 0.9888          |
| 0.9473        | 23.0  | 138  | 0.9332          |
| 0.8718        | 24.0  | 144  | 0.8529          |
| 0.8661        | 25.0  | 150  | 0.8421          |
| 0.8381        | 26.0  | 156  | 0.8280          |
| 0.7939        | 27.0  | 162  | 0.7921          |
| 0.8426        | 28.0  | 168  | 0.7751          |
| 0.7897        | 29.0  | 174  | 0.7592          |
| 0.7687        | 30.0  | 180  | 0.7575          |
| 0.77          | 31.0  | 186  | 0.7346          |
| 0.7479        | 32.0  | 192  | 0.7266          |
| 0.7247        | 33.0  | 198  | 0.7156          |
| 0.7278        | 34.0  | 204  | 0.7154          |
| 0.7241        | 35.0  | 210  | 0.6853          |
| 0.7037        | 36.0  | 216  | 0.6897          |
| 0.6949        | 37.0  | 222  | 0.6697          |
| 0.7135        | 38.0  | 228  | 0.6661          |
| 0.6864        | 39.0  | 234  | 0.6619          |
| 0.6812        | 40.0  | 240  | 0.6587          |


### Framework versions

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