---
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_trainer
model-index:
- name: buburayam2024_indobtwt_7_semimaxunder
  results: []
---

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# buburayam2024_indobtwt_7_semimaxunder

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: 2.4954
- F1 macro: 0.3816
- Weighted: 0.5658
- Balanced accuracy: 0.5340

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
| 1.5536        | 1.0   | 124  | 1.2828          | 0.3767   | 0.5913   | 0.4981            |
| 0.7422        | 2.0   | 248  | 1.4454          | 0.3589   | 0.5519   | 0.5031            |
| 0.3782        | 3.0   | 372  | 1.6100          | 0.3865   | 0.5978   | 0.5151            |
| 0.1952        | 4.0   | 496  | 1.9570          | 0.3801   | 0.5943   | 0.4926            |
| 0.0398        | 5.0   | 620  | 2.3618          | 0.3680   | 0.5483   | 0.5315            |
| 0.0762        | 6.0   | 744  | 2.3435          | 0.3767   | 0.5805   | 0.5088            |
| 0.0149        | 7.0   | 868  | 2.4954          | 0.3816   | 0.5658   | 0.5340            |


### Framework versions

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