---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: PoliteT5Small
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# PoliteT5Small

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3505
- Toxicity Ratio: 0.3158

## 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: 0.01
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 75

### Training results

| Training Loss | Epoch | Step | Validation Loss | Toxicity Ratio |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|
| No log        | 1.0   | 22   | 0.6642          | 0.3158         |
| No log        | 2.0   | 44   | 0.6347          | 0.3158         |
| 0.9343        | 3.0   | 66   | 0.6623          | 0.3158         |
| 0.9343        | 4.0   | 88   | 0.6737          | 0.3070         |
| 0.3783        | 5.0   | 110  | 0.7201          | 0.2982         |
| 0.3783        | 6.0   | 132  | 0.7606          | 0.3596         |
| 0.2536        | 7.0   | 154  | 0.7567          | 0.2807         |
| 0.2536        | 8.0   | 176  | 0.8618          | 0.3070         |
| 0.2536        | 9.0   | 198  | 0.8444          | 0.3158         |
| 0.1839        | 10.0  | 220  | 0.8257          | 0.3333         |
| 0.1839        | 11.0  | 242  | 0.8643          | 0.3158         |
| 0.1246        | 12.0  | 264  | 0.8334          | 0.3421         |
| 0.1246        | 13.0  | 286  | 0.8895          | 0.3246         |
| 0.1042        | 14.0  | 308  | 0.9631          | 0.2982         |
| 0.1042        | 15.0  | 330  | 0.9004          | 0.3070         |
| 0.0929        | 16.0  | 352  | 0.8878          | 0.2982         |
| 0.0929        | 17.0  | 374  | 0.9009          | 0.2982         |
| 0.0929        | 18.0  | 396  | 0.9762          | 0.3158         |
| 0.0745        | 19.0  | 418  | 0.9296          | 0.2982         |
| 0.0745        | 20.0  | 440  | 0.9429          | 0.3246         |
| 0.0668        | 21.0  | 462  | 0.9779          | 0.3158         |
| 0.0668        | 22.0  | 484  | 0.9731          | 0.2982         |
| 0.0494        | 23.0  | 506  | 0.9640          | 0.3158         |
| 0.0494        | 24.0  | 528  | 0.9984          | 0.2982         |
| 0.0425        | 25.0  | 550  | 0.9966          | 0.3070         |
| 0.0425        | 26.0  | 572  | 0.9861          | 0.3246         |
| 0.0425        | 27.0  | 594  | 1.0335          | 0.3333         |
| 0.0432        | 28.0  | 616  | 1.0358          | 0.2982         |
| 0.0432        | 29.0  | 638  | 1.0244          | 0.3158         |
| 0.0328        | 30.0  | 660  | 1.0050          | 0.3158         |
| 0.0328        | 31.0  | 682  | 0.9838          | 0.2982         |
| 0.0277        | 32.0  | 704  | 1.0576          | 0.3158         |
| 0.0277        | 33.0  | 726  | 1.0719          | 0.3070         |
| 0.0277        | 34.0  | 748  | 1.0851          | 0.3246         |
| 0.0194        | 35.0  | 770  | 0.9992          | 0.3246         |
| 0.0194        | 36.0  | 792  | 1.1454          | 0.3333         |
| 0.0145        | 37.0  | 814  | 1.1179          | 0.3158         |
| 0.0145        | 38.0  | 836  | 1.0586          | 0.3158         |
| 0.0157        | 39.0  | 858  | 1.0638          | 0.3333         |
| 0.0157        | 40.0  | 880  | 1.1544          | 0.3333         |
| 0.0114        | 41.0  | 902  | 1.1529          | 0.2895         |
| 0.0114        | 42.0  | 924  | 1.2017          | 0.3246         |
| 0.0114        | 43.0  | 946  | 1.0783          | 0.3333         |
| 0.0096        | 44.0  | 968  | 1.1984          | 0.3333         |
| 0.0096        | 45.0  | 990  | 1.1839          | 0.3158         |
| 0.0094        | 46.0  | 1012 | 1.1178          | 0.3246         |
| 0.0094        | 47.0  | 1034 | 1.2424          | 0.3070         |
| 0.0065        | 48.0  | 1056 | 1.1740          | 0.3158         |
| 0.0065        | 49.0  | 1078 | 0.9860          | 0.3070         |
| 0.0081        | 50.0  | 1100 | 1.2554          | 0.3333         |
| 0.0081        | 51.0  | 1122 | 1.2024          | 0.2895         |
| 0.0081        | 52.0  | 1144 | 1.2440          | 0.2807         |
| 0.0035        | 53.0  | 1166 | 1.2392          | 0.3070         |
| 0.0035        | 54.0  | 1188 | 1.3189          | 0.3070         |
| 0.0033        | 55.0  | 1210 | 1.2635          | 0.2895         |
| 0.0033        | 56.0  | 1232 | 1.2367          | 0.2982         |
| 0.0033        | 57.0  | 1254 | 1.2691          | 0.3070         |
| 0.0033        | 58.0  | 1276 | 1.2762          | 0.3070         |
| 0.0033        | 59.0  | 1298 | 1.2492          | 0.2982         |
| 0.0021        | 60.0  | 1320 | 1.2530          | 0.3070         |
| 0.0021        | 61.0  | 1342 | 1.2754          | 0.3158         |
| 0.002         | 62.0  | 1364 | 1.3817          | 0.3070         |
| 0.002         | 63.0  | 1386 | 1.3887          | 0.3158         |
| 0.0016        | 64.0  | 1408 | 1.3172          | 0.3246         |
| 0.0016        | 65.0  | 1430 | 1.3481          | 0.3158         |
| 0.0023        | 66.0  | 1452 | 1.3109          | 0.3246         |
| 0.0023        | 67.0  | 1474 | 1.2907          | 0.3246         |
| 0.0023        | 68.0  | 1496 | 1.2926          | 0.3246         |
| 0.0014        | 69.0  | 1518 | 1.3122          | 0.3158         |
| 0.0014        | 70.0  | 1540 | 1.3354          | 0.3158         |
| 0.0008        | 71.0  | 1562 | 1.3440          | 0.3158         |
| 0.0008        | 72.0  | 1584 | 1.3367          | 0.3158         |
| 0.0011        | 73.0  | 1606 | 1.3452          | 0.3158         |
| 0.0011        | 74.0  | 1628 | 1.3514          | 0.3158         |
| 0.0011        | 75.0  | 1650 | 1.3505          | 0.3158         |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.13.3