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: 0.2454

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9842        | 1.0   | 6    | 2.2874          |
| 2.0465        | 2.0   | 12   | 1.7769          |
| 1.5772        | 3.0   | 18   | 1.3812          |
| 1.3006        | 4.0   | 24   | 1.1717          |
| 1.0791        | 5.0   | 30   | 0.9973          |
| 0.9229        | 6.0   | 36   | 0.9593          |
| 0.8693        | 7.0   | 42   | 0.8263          |
| 0.7761        | 8.0   | 48   | 0.7712          |
| 0.7538        | 9.0   | 54   | 0.7099          |
| 0.6978        | 10.0  | 60   | 0.6758          |
| 0.6444        | 11.0  | 66   | 0.6319          |
| 0.6149        | 12.0  | 72   | 0.6014          |
| 0.5944        | 13.0  | 78   | 0.6130          |
| 0.5737        | 14.0  | 84   | 0.6018          |
| 0.5763        | 15.0  | 90   | 0.5680          |
| 0.5335        | 16.0  | 96   | 0.5525          |
| 0.5281        | 17.0  | 102  | 0.5220          |
| 0.4979        | 18.0  | 108  | 0.4794          |
| 0.4668        | 19.0  | 114  | 0.4779          |
| 0.4612        | 20.0  | 120  | 0.4558          |
| 0.4527        | 21.0  | 126  | 0.4302          |
| 0.4214        | 22.0  | 132  | 0.4414          |
| 0.4221        | 23.0  | 138  | 0.4328          |
| 0.4271        | 24.0  | 144  | 0.4047          |
| 0.4004        | 25.0  | 150  | 0.3844          |
| 0.3744        | 26.0  | 156  | 0.3687          |
| 0.3655        | 27.0  | 162  | 0.3484          |
| 0.3312        | 28.0  | 168  | 0.3504          |
| 0.3473        | 29.0  | 174  | 0.3289          |
| 0.3368        | 30.0  | 180  | 0.3246          |
| 0.3171        | 31.0  | 186  | 0.3189          |
| 0.3205        | 32.0  | 192  | 0.2958          |
| 0.3108        | 33.0  | 198  | 0.2881          |
| 0.2943        | 34.0  | 204  | 0.2756          |
| 0.2926        | 35.0  | 210  | 0.2699          |
| 0.2803        | 36.0  | 216  | 0.2594          |
| 0.2794        | 37.0  | 222  | 0.2539          |
| 0.2826        | 38.0  | 228  | 0.2501          |
| 0.272         | 39.0  | 234  | 0.2475          |
| 0.2576        | 40.0  | 240  | 0.2454          |


### Framework versions

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