|
--- |
|
license: mit |
|
base_model: indobenchmark/indobert-base-p1 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: text-classification |
|
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. --> |
|
|
|
# text-classification |
|
|
|
This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4590 |
|
- Balanced Accuracy: 0.6868 |
|
|
|
## 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: 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 | Balanced Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:-----------------:| |
|
| No log | 1.0 | 125 | 0.4590 | 0.6868 | |
|
| No log | 2.0 | 250 | 0.5104 | 0.6470 | |
|
| No log | 3.0 | 375 | 0.5941 | 0.6448 | |
|
| 0.3146 | 4.0 | 500 | 0.5873 | 0.7828 | |
|
| 0.3146 | 5.0 | 625 | 0.6645 | 0.8005 | |
|
| 0.3146 | 6.0 | 750 | 0.6635 | 0.8110 | |
|
| 0.3146 | 7.0 | 875 | 0.6684 | 0.7801 | |
|
| 0.0956 | 8.0 | 1000 | 0.8031 | 0.7786 | |
|
| 0.0956 | 9.0 | 1125 | 0.7523 | 0.7827 | |
|
| 0.0956 | 10.0 | 1250 | 0.7878 | 0.7715 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.2 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.2 |
|
- Tokenizers 0.19.1 |
|
|
