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---
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
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