---
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: indobert-model-ner
  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. -->

# indobert-model-ner

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:
- Loss: 0.2296
- Precision: 0.8307
- Recall: 0.8454
- F1: 0.8380
- Accuracy: 0.9530

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.4855        | 1.0   | 784  | 0.1729          | 0.8069    | 0.8389 | 0.8226 | 0.9499   |
| 0.1513        | 2.0   | 1568 | 0.1781          | 0.8086    | 0.8371 | 0.8226 | 0.9497   |
| 0.1106        | 3.0   | 2352 | 0.1798          | 0.8231    | 0.8475 | 0.8351 | 0.9531   |
| 0.0784        | 4.0   | 3136 | 0.1941          | 0.8270    | 0.8442 | 0.8355 | 0.9535   |
| 0.0636        | 5.0   | 3920 | 0.2085          | 0.8269    | 0.8514 | 0.8389 | 0.9548   |
| 0.0451        | 6.0   | 4704 | 0.2296          | 0.8307    | 0.8454 | 0.8380 | 0.9530   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2