---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-ost
  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-ost

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0581

## 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5695        | 0.39  | 500  | 0.0591          |
| 0.0606        | 0.77  | 1000 | 0.0588          |
| 0.0575        | 1.16  | 1500 | 0.0588          |
| 0.0551        | 1.55  | 2000 | 0.0586          |
| 0.0549        | 1.93  | 2500 | 0.0581          |
| 0.0487        | 2.32  | 3000 | 0.0597          |
| 0.0478        | 2.71  | 3500 | 0.0594          |
| 0.0463        | 3.1   | 4000 | 0.0624          |
| 0.0404        | 3.48  | 4500 | 0.0625          |
| 0.041         | 3.87  | 5000 | 0.0617          |
| 0.0366        | 4.26  | 5500 | 0.0656          |
| 0.0347        | 4.64  | 6000 | 0.0658          |


### Framework versions

- Transformers 4.22.1
- Pytorch 1.12.0
- Datasets 2.5.1
- Tokenizers 0.12.1