---
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: Labira/LabiraEdu-v1.0x
  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/LabiraEdu-v1.0x

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: 0.0206
- Validation Loss: 4.5266
- Epoch: 98

## 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': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1100, '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 |
|:----------:|:---------------:|:-----:|
| 5.0565     | 3.9761          | 0     |
| 3.6621     | 3.2932          | 1     |
| 3.0961     | 3.2587          | 2     |
| 2.7357     | 3.2031          | 3     |
| 2.3059     | 3.2519          | 4     |
| 1.8933     | 3.4772          | 5     |
| 1.9076     | 3.1664          | 6     |
| 1.5492     | 3.4201          | 7     |
| 1.2578     | 3.5190          | 8     |
| 1.0478     | 3.4076          | 9     |
| 1.0130     | 3.5961          | 10    |
| 0.9073     | 3.4919          | 11    |
| 0.7071     | 3.5013          | 12    |
| 0.5616     | 4.0259          | 13    |
| 0.4798     | 3.9766          | 14    |
| 0.5938     | 3.8146          | 15    |
| 0.6476     | 3.7065          | 16    |
| 0.4264     | 4.1631          | 17    |
| 0.5290     | 3.7455          | 18    |
| 0.4637     | 3.6362          | 19    |
| 0.3826     | 3.8389          | 20    |
| 0.2876     | 3.7611          | 21    |
| 0.2221     | 4.0540          | 22    |
| 0.1752     | 4.0683          | 23    |
| 0.1544     | 4.0452          | 24    |
| 0.1600     | 4.0417          | 25    |
| 0.1390     | 4.0668          | 26    |
| 0.1134     | 4.0659          | 27    |
| 0.0965     | 4.0700          | 28    |
| 0.0820     | 4.2026          | 29    |
| 0.0810     | 4.3008          | 30    |
| 0.1166     | 4.0835          | 31    |
| 0.0776     | 4.0886          | 32    |
| 0.1033     | 4.1303          | 33    |
| 0.0512     | 4.1014          | 34    |
| 0.0484     | 4.1462          | 35    |
| 0.0565     | 4.2404          | 36    |
| 0.0652     | 4.2064          | 37    |
| 0.0538     | 4.1032          | 38    |
| 0.0516     | 4.0948          | 39    |
| 0.0611     | 4.2563          | 40    |
| 0.0523     | 4.3629          | 41    |
| 0.0571     | 4.3032          | 42    |
| 0.0479     | 4.3147          | 43    |
| 0.0308     | 4.3639          | 44    |
| 0.0370     | 4.3490          | 45    |
| 0.0406     | 4.3471          | 46    |
| 0.0300     | 4.4078          | 47    |
| 0.0270     | 4.4253          | 48    |
| 0.0283     | 4.4177          | 49    |
| 0.0228     | 4.4394          | 50    |
| 0.0538     | 4.4019          | 51    |
| 0.0342     | 4.3553          | 52    |
| 0.0249     | 4.3161          | 53    |
| 0.0657     | 4.4426          | 54    |
| 0.0309     | 4.5678          | 55    |
| 0.0467     | 4.4247          | 56    |
| 0.0356     | 4.5058          | 57    |
| 0.0431     | 4.4563          | 58    |
| 0.0366     | 4.5242          | 59    |
| 0.0624     | 4.3149          | 60    |
| 0.0471     | 4.3177          | 61    |
| 0.0248     | 4.3159          | 62    |
| 0.0388     | 4.3554          | 63    |
| 0.0262     | 4.3888          | 64    |
| 0.0360     | 4.4544          | 65    |
| 0.0319     | 4.4608          | 66    |
| 0.0269     | 4.4676          | 67    |
| 0.0373     | 4.3847          | 68    |
| 0.0205     | 4.3560          | 69    |
| 0.0223     | 4.3715          | 70    |
| 0.0306     | 4.3894          | 71    |
| 0.0235     | 4.4409          | 72    |
| 0.0189     | 4.4767          | 73    |
| 0.0280     | 4.5137          | 74    |
| 0.0165     | 4.5471          | 75    |
| 0.0098     | 4.5553          | 76    |
| 0.0173     | 4.5465          | 77    |
| 0.0234     | 4.5461          | 78    |
| 0.0231     | 4.5485          | 79    |
| 0.0237     | 4.5326          | 80    |
| 0.0158     | 4.5293          | 81    |
| 0.0178     | 4.5309          | 82    |
| 0.0225     | 4.5306          | 83    |
| 0.0191     | 4.5213          | 84    |
| 0.0213     | 4.5231          | 85    |
| 0.0144     | 4.5332          | 86    |
| 0.0191     | 4.5365          | 87    |
| 0.0188     | 4.5487          | 88    |
| 0.0272     | 4.5426          | 89    |
| 0.0126     | 4.5390          | 90    |
| 0.0224     | 4.5384          | 91    |
| 0.0218     | 4.5389          | 92    |
| 0.0083     | 4.5394          | 93    |
| 0.0246     | 4.5326          | 94    |
| 0.0199     | 4.5284          | 95    |
| 0.0174     | 4.5264          | 96    |
| 0.0130     | 4.5259          | 97    |
| 0.0206     | 4.5266          | 98    |


### Framework versions

- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.19.2
- Tokenizers 0.19.1