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: 0.6087

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3748        | 1.0   | 6    | 2.7546          |
| 2.3666        | 2.0   | 12   | 2.0282          |
| 1.8315        | 3.0   | 18   | 1.6880          |
| 1.616         | 4.0   | 24   | 1.5382          |
| 1.503         | 5.0   | 30   | 1.4603          |
| 1.4344        | 6.0   | 36   | 1.4103          |
| 1.3878        | 7.0   | 42   | 1.3806          |
| 1.3418        | 8.0   | 48   | 1.2722          |
| 1.2509        | 9.0   | 54   | 1.2194          |
| 1.2581        | 10.0  | 60   | 1.2255          |
| 1.2361        | 11.0  | 66   | 1.4183          |
| 1.259         | 12.0  | 72   | 1.1575          |
| 1.1246        | 13.0  | 78   | 1.1058          |
| 1.0757        | 14.0  | 84   | 1.0496          |
| 1.0499        | 15.0  | 90   | 1.0402          |
| 0.9797        | 16.0  | 96   | 0.9715          |
| 0.9347        | 17.0  | 102  | 0.9876          |
| 0.9267        | 18.0  | 108  | 0.9119          |
| 0.8861        | 19.0  | 114  | 0.9250          |
| 0.9253        | 20.0  | 120  | 0.8471          |
| 0.9204        | 21.0  | 126  | 0.8488          |
| 0.8545        | 22.0  | 132  | 0.8404          |
| 0.8283        | 23.0  | 138  | 0.7885          |
| 0.7892        | 24.0  | 144  | 0.8518          |
| 0.804         | 25.0  | 150  | 0.9104          |
| 0.8278        | 26.0  | 156  | 0.7776          |
| 0.7759        | 27.0  | 162  | 0.7776          |
| 0.7388        | 28.0  | 168  | 0.7396          |
| 0.7323        | 29.0  | 174  | 0.7238          |
| 0.727         | 30.0  | 180  | 0.6978          |
| 0.7104        | 31.0  | 186  | 0.6916          |
| 0.6964        | 32.0  | 192  | 0.6704          |
| 0.6797        | 33.0  | 198  | 0.6547          |
| 0.661         | 34.0  | 204  | 0.6457          |
| 0.6567        | 35.0  | 210  | 0.6497          |
| 0.6494        | 36.0  | 216  | 0.6411          |
| 0.6526        | 37.0  | 222  | 0.6314          |
| 0.6379        | 38.0  | 228  | 0.6150          |
| 0.6224        | 39.0  | 234  | 0.6093          |
| 0.6231        | 40.0  | 240  | 0.6087          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
