---
license: apache-2.0
base_model: indolem/indobertweet-base-uncased
tags:
- generated_from_trainer
model-index:
- name: buburayam2024_indobtwt_7_reprsample
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# buburayam2024_indobtwt_7_reprsample

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: 1.9512
- F1 macro: 0.4163
- Weighted: 0.6765
- Balanced accuracy: 0.4952

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
| 1.1941        | 1.0   | 186  | 0.9804          | 0.3927   | 0.6619   | 0.4570            |
| 0.8084        | 2.0   | 372  | 0.9803          | 0.4381   | 0.7056   | 0.4876            |
| 0.3287        | 3.0   | 558  | 1.3391          | 0.3943   | 0.6546   | 0.4784            |
| 0.1292        | 4.0   | 744  | 1.4696          | 0.4297   | 0.6830   | 0.5058            |
| 0.0639        | 5.0   | 930  | 1.8854          | 0.4131   | 0.6647   | 0.4981            |
| 0.0088        | 6.0   | 1116 | 1.9583          | 0.4109   | 0.6704   | 0.4882            |
| 0.0156        | 7.0   | 1302 | 1.9512          | 0.4163   | 0.6765   | 0.4952            |


### Framework versions

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