---
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_trainer
model-index:
- name: buburayam2024_indobtwt_7_overunder
  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_indobtwt_7_overunder

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: 2.0210
- F1 macro: 0.3275
- Weighted: 0.4492
- Balanced accuracy: 0.4916

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
| 1.9685        | 1.0   | 43   | 1.7035          | 0.1920   | 0.4257   | 0.2649            |
| 1.4692        | 2.0   | 86   | 1.5573          | 0.2713   | 0.4184   | 0.4311            |
| 0.8033        | 3.0   | 129  | 1.4403          | 0.3597   | 0.5636   | 0.5084            |
| 0.3962        | 4.0   | 172  | 1.6567          | 0.3514   | 0.4921   | 0.5171            |
| 0.1335        | 5.0   | 215  | 1.9523          | 0.3306   | 0.4306   | 0.5034            |
| 0.0797        | 6.0   | 258  | 2.1614          | 0.3126   | 0.4075   | 0.4914            |
| 0.0392        | 7.0   | 301  | 2.0210          | 0.3275   | 0.4492   | 0.4916            |


### Framework versions

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