---
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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1051
- Accuracy: 0.9793
- Precision: 0.9734
- Recall: 0.9756
- F1: 0.9744

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.1424        | 1.0   | 365  | 0.1231          | 0.9679   | 0.9513    | 0.9763 | 0.9624 |
| 0.0436        | 2.0   | 730  | 0.0921          | 0.9757   | 0.9684    | 0.9729 | 0.9704 |
| 0.012         | 3.0   | 1095 | 0.1051          | 0.9793   | 0.9734    | 0.9756 | 0.9744 |


### Framework versions

- Transformers 4.41.2
- Pytorch 1.13.1+cpu
- Datasets 2.19.2
- Tokenizers 0.19.1