---
library_name: transformers
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: Labira/LabiraPJOK_1_1000x
  results: []
---

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

# Labira/LabiraPJOK_1_1000x

This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co./indolem/indobert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.2616
- Validation Loss: 4.8341
- Epoch: 24

## 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:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 3000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 5.9029     | 5.5338          | 0     |
| 5.5052     | 5.1945          | 1     |
| 5.0405     | 4.9078          | 2     |
| 4.5254     | 4.5685          | 3     |
| 4.1376     | 4.3884          | 4     |
| 3.8263     | 4.1669          | 5     |
| 3.5461     | 3.8994          | 6     |
| 3.1371     | 3.7182          | 7     |
| 2.7303     | 3.6502          | 8     |
| 2.4936     | 3.7608          | 9     |
| 2.2117     | 3.9550          | 10    |
| 1.9386     | 4.0934          | 11    |
| 1.7866     | 4.1102          | 12    |
| 1.4512     | 4.2896          | 13    |
| 1.1873     | 4.5401          | 14    |
| 0.9892     | 4.8950          | 15    |
| 0.8121     | 4.9718          | 16    |
| 0.7331     | 4.6763          | 17    |
| 0.6712     | 4.5185          | 18    |
| 0.5773     | 4.8674          | 19    |
| 0.4841     | 4.9185          | 20    |
| 0.3451     | 4.8513          | 21    |
| 0.2938     | 4.8199          | 22    |
| 0.3125     | 4.9438          | 23    |
| 0.2616     | 4.8341          | 24    |


### Framework versions

- Transformers 4.45.2
- TensorFlow 2.17.0
- Datasets 2.20.0
- Tokenizers 0.20.1