---
tags:
- generated_from_trainer
base_model: Wikidepia/IndoT5-base
model-index:
- name: my-random-t5-ft
  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. -->

# my-random-t5-ft

This model is a fine-tuned version of [Wikidepia/IndoT5-base](https://huggingface.co/Wikidepia/IndoT5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0023

## 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: 5e-05
- 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
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.1845        | 0.1   | 1629  | 0.0037          |
| 0.0059        | 0.2   | 3258  | 0.0027          |
| 0.0048        | 0.3   | 4887  | 0.0026          |
| 0.003         | 0.4   | 6516  | 0.0028          |
| 0.0039        | 0.5   | 8145  | 0.0022          |
| 0.0023        | 0.6   | 9774  | 0.0023          |
| 0.0024        | 0.7   | 11403 | 0.0019          |
| 0.0015        | 0.8   | 13032 | 0.0022          |
| 0.0011        | 0.9   | 14661 | 0.0024          |
| 0.0018        | 1.0   | 16290 | 0.0023          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.19.0
- Tokenizers 0.15.2