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: 0.6006

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.486         | 1.0   | 5    | 2.9161          |
| 2.5763        | 2.0   | 10   | 2.1493          |
| 1.965         | 3.0   | 15   | 1.7717          |
| 1.6868        | 4.0   | 20   | 1.6013          |
| 1.5787        | 5.0   | 25   | 1.5372          |
| 1.5007        | 6.0   | 30   | 1.4588          |
| 1.428         | 7.0   | 35   | 1.4072          |
| 1.4041        | 8.0   | 40   | 1.3590          |
| 1.3104        | 9.0   | 45   | 1.2594          |
| 1.279         | 10.0  | 50   | 1.2948          |
| 1.2457        | 11.0  | 55   | 1.2035          |
| 1.1598        | 12.0  | 60   | 1.0922          |
| 1.0812        | 13.0  | 65   | 1.0745          |
| 1.0613        | 14.0  | 70   | 1.0448          |
| 1.0542        | 15.0  | 75   | 1.0009          |
| 1.0459        | 16.0  | 80   | 0.9843          |
| 1.0733        | 17.0  | 85   | 1.1919          |
| 1.0664        | 18.0  | 90   | 1.0079          |
| 0.9639        | 19.0  | 95   | 0.9124          |
| 0.9094        | 20.0  | 100  | 0.8717          |
| 0.8693        | 21.0  | 105  | 0.8281          |
| 0.8348        | 22.0  | 110  | 0.7971          |
| 0.8095        | 23.0  | 115  | 0.8027          |
| 0.7985        | 24.0  | 120  | 0.7565          |
| 0.784         | 25.0  | 125  | 0.7354          |
| 0.7934        | 26.0  | 130  | 0.8105          |
| 0.7754        | 27.0  | 135  | 0.7499          |
| 0.7381        | 28.0  | 140  | 0.6967          |
| 0.7124        | 29.0  | 145  | 0.6911          |
| 0.7058        | 30.0  | 150  | 0.6855          |
| 0.6998        | 31.0  | 155  | 0.6779          |
| 0.6966        | 32.0  | 160  | 0.6676          |
| 0.6859        | 33.0  | 165  | 0.6618          |
| 0.6774        | 34.0  | 170  | 0.6418          |
| 0.6617        | 35.0  | 175  | 0.6278          |
| 0.6521        | 36.0  | 180  | 0.6152          |
| 0.6422        | 37.0  | 185  | 0.6121          |
| 0.6358        | 38.0  | 190  | 0.6074          |
| 0.631         | 39.0  | 195  | 0.6022          |
| 0.6294        | 40.0  | 200  | 0.6006          |


### Framework versions

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