---
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_trainer
model-index:
- name: buburayam2024_p2_14_asli
  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. -->

# buburayam2024_p2_14_asli

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: 2.3478
- F1 macro: 0.3466
- Weighted: 0.5394
- Balanced accuracy: 0.4857

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
| 1.3473        | 1.0   | 93   | 1.4538          | 0.3261   | 0.5837   | 0.4352            |
| 0.9979        | 2.0   | 186  | 1.4648          | 0.3461   | 0.5112   | 0.4916            |
| 0.5325        | 3.0   | 279  | 1.8786          | 0.3325   | 0.5012   | 0.4817            |
| 0.2097        | 4.0   | 372  | 2.2614          | 0.3081   | 0.4708   | 0.4584            |
| 0.1208        | 5.0   | 465  | 2.0293          | 0.3620   | 0.5624   | 0.4896            |
| 0.0695        | 6.0   | 558  | 2.4287          | 0.3513   | 0.5322   | 0.4986            |
| 0.0129        | 7.0   | 651  | 2.3478          | 0.3466   | 0.5394   | 0.4857            |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1