---
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: indo_sentiment_indobertbdc
  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. -->

# indo_sentiment_indobertbdc

This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8126
- Accuracy: 0.8084
- Precision: 0.6069
- Recall: 0.5793
- F1: 0.5901

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.9638        | 1.0   | 110  | 0.6687          | 0.7924   | 0.5699    | 0.5100 | 0.5153 |
| 0.6061        | 2.0   | 220  | 0.6614          | 0.7884   | 0.5350    | 0.5561 | 0.5396 |
| 0.3434        | 3.0   | 330  | 0.6861          | 0.8044   | 0.6046    | 0.5626 | 0.5722 |
| 0.2047        | 4.0   | 440  | 0.8285          | 0.8094   | 0.6068    | 0.5642 | 0.5743 |
| 0.1149        | 5.0   | 550  | 0.8126          | 0.8084   | 0.6069    | 0.5793 | 0.5901 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1