---
library_name: transformers
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: indo_sentiment_indobertweet
  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_indobertweet

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: 0.1664
- Accuracy: 0.9717
- Precision: 0.9698
- Recall: 0.9688
- F1: 0.9693

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.1838        | 1.0   | 248  | 0.1150          | 0.9585   | 0.9598    | 0.9500 | 0.9545 |
| 0.0878        | 2.0   | 496  | 0.1389          | 0.9629   | 0.9696    | 0.9508 | 0.9590 |
| 0.038         | 3.0   | 744  | 0.1343          | 0.9647   | 0.9658    | 0.9575 | 0.9614 |
| 0.0098        | 4.0   | 992  | 0.1664          | 0.9717   | 0.9698    | 0.9688 | 0.9693 |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0