---
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: PonXXI
  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. -->

# PonXXI

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: 1.3259
- Accuracy: 0.7457
- Precision: 0.7431
- Recall: 0.7429
- F1: 0.7422

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.8207        | 1.0   | 214  | 0.7313          | 0.6928   | 0.7083    | 0.6928 | 0.6937 |
| 0.6159        | 2.0   | 428  | 0.6846          | 0.7270   | 0.7421    | 0.7305 | 0.7250 |
| 0.4666        | 3.0   | 642  | 0.7258          | 0.7270   | 0.7282    | 0.7243 | 0.7221 |
| 0.349         | 4.0   | 856  | 0.8328          | 0.7406   | 0.7403    | 0.7368 | 0.7356 |
| 0.2752        | 5.0   | 1070 | 0.8500          | 0.7406   | 0.7377    | 0.7387 | 0.7379 |
| 0.224         | 6.0   | 1284 | 1.0037          | 0.7457   | 0.7425    | 0.7435 | 0.7424 |
| 0.1883        | 7.0   | 1498 | 1.1039          | 0.7457   | 0.7446    | 0.7435 | 0.7437 |
| 0.1518        | 8.0   | 1712 | 1.1535          | 0.7457   | 0.7439    | 0.7426 | 0.7420 |
| 0.1372        | 9.0   | 1926 | 1.3070          | 0.7304   | 0.7273    | 0.7262 | 0.7241 |
| 0.1195        | 10.0  | 2140 | 1.3259          | 0.7457   | 0.7431    | 0.7429 | 0.7422 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1