---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-text-simplification_1e4_adafactor
  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. -->

# t5-small-text-simplification_1e4_adafactor

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4541

## 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: 0.0001
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.8842        | 1.0   | 582   | 0.4651          |
| 0.5737        | 2.0   | 1164  | 0.4611          |
| 0.5559        | 3.0   | 1746  | 0.4585          |
| 0.548         | 4.0   | 2328  | 0.4573          |
| 0.541         | 5.0   | 2910  | 0.4565          |
| 0.5349        | 6.0   | 3492  | 0.4564          |
| 0.5257        | 7.0   | 4074  | 0.4552          |
| 0.5223        | 8.0   | 4656  | 0.4558          |
| 0.5185        | 9.0   | 5238  | 0.4550          |
| 0.5145        | 10.0  | 5820  | 0.4544          |
| 0.5166        | 11.0  | 6402  | 0.4551          |
| 0.5104        | 12.0  | 6984  | 0.4546          |
| 0.5089        | 13.0  | 7566  | 0.4547          |
| 0.5054        | 14.0  | 8148  | 0.4544          |
| 0.5047        | 15.0  | 8730  | 0.4544          |
| 0.5043        | 16.0  | 9312  | 0.4537          |
| 0.5021        | 17.0  | 9894  | 0.4539          |
| 0.5034        | 18.0  | 10476 | 0.4539          |
| 0.5008        | 19.0  | 11058 | 0.4541          |
| 0.5003        | 20.0  | 11640 | 0.4541          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3