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: 0.6102

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4688        | 1.0   | 5    | 2.8659          |
| 2.5395        | 2.0   | 10   | 2.1007          |
| 1.9592        | 3.0   | 15   | 1.7491          |
| 1.6895        | 4.0   | 20   | 1.5873          |
| 1.5985        | 5.0   | 25   | 1.5268          |
| 1.5444        | 6.0   | 30   | 1.5378          |
| 1.5074        | 7.0   | 35   | 1.4607          |
| 1.4651        | 8.0   | 40   | 1.4537          |
| 1.4525        | 9.0   | 45   | 1.4718          |
| 1.4429        | 10.0  | 50   | 1.3729          |
| 1.3852        | 11.0  | 55   | 1.3508          |
| 1.3357        | 12.0  | 60   | 1.2872          |
| 1.2972        | 13.0  | 65   | 1.2634          |
| 1.2483        | 14.0  | 70   | 1.1977          |
| 1.1983        | 15.0  | 75   | 1.1583          |
| 1.1462        | 16.0  | 80   | 1.0801          |
| 1.0846        | 17.0  | 85   | 1.0128          |
| 1.055         | 18.0  | 90   | 1.0017          |
| 1.0239        | 19.0  | 95   | 0.9550          |
| 0.9661        | 20.0  | 100  | 0.9190          |
| 0.9551        | 21.0  | 105  | 0.8978          |
| 0.9148        | 22.0  | 110  | 0.8516          |
| 0.887         | 23.0  | 115  | 0.8381          |
| 0.8872        | 24.0  | 120  | 0.8330          |
| 0.8642        | 25.0  | 125  | 0.8257          |
| 0.8441        | 26.0  | 130  | 0.7729          |
| 0.8151        | 27.0  | 135  | 0.7500          |
| 0.7906        | 28.0  | 140  | 0.7392          |
| 0.7797        | 29.0  | 145  | 0.7292          |
| 0.7707        | 30.0  | 150  | 0.7043          |
| 0.7475        | 31.0  | 155  | 0.6987          |
| 0.74          | 32.0  | 160  | 0.6696          |
| 0.7274        | 33.0  | 165  | 0.6536          |
| 0.7121        | 34.0  | 170  | 0.6459          |
| 0.7113        | 35.0  | 175  | 0.6505          |
| 0.7016        | 36.0  | 180  | 0.6299          |
| 0.6946        | 37.0  | 185  | 0.6234          |
| 0.6886        | 38.0  | 190  | 0.6157          |
| 0.6821        | 39.0  | 195  | 0.6146          |
| 0.6768        | 40.0  | 200  | 0.6102          |


### Framework versions

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