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---
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: sv1
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. -->
# sv1
This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co./indolem/indobert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3325
- F1 macro: 0.3954
- Weighted: 0.5529
- Balanced accuracy: 0.5398
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
| 1.5316 | 1.0 | 154 | 1.5495 | 0.2252 | 0.3650 | 0.3588 |
| 1.2625 | 2.0 | 308 | 1.4130 | 0.3021 | 0.4392 | 0.4393 |
| 0.8381 | 3.0 | 462 | 1.4654 | 0.3616 | 0.5320 | 0.4578 |
| 0.6723 | 4.0 | 616 | 1.4752 | 0.4154 | 0.5946 | 0.5237 |
| 0.3447 | 5.0 | 770 | 1.6081 | 0.4057 | 0.6112 | 0.5217 |
| 0.2433 | 6.0 | 924 | 2.2897 | 0.4023 | 0.5488 | 0.5463 |
| 0.0404 | 7.0 | 1078 | 2.3325 | 0.3954 | 0.5529 | 0.5398 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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