metadata
license: mit
base_model: indobenchmark/indobert-base-p2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: gacha_model
results: []
gacha_model
This model is a fine-tuned version of indobenchmark/indobert-base-p2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4437
- Accuracy: 0.8065
- F1: 0.7877
- Precision: 0.8105
- Recall: 0.7662
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 215 | 0.4437 | 0.8065 | 0.7877 | 0.8105 | 0.7662 |
| No log | 2.0 | 430 | 0.4728 | 0.8042 | 0.7766 | 0.8343 | 0.7264 |
| 0.343 | 3.0 | 645 | 0.7781 | 0.8089 | 0.7940 | 0.8020 | 0.7861 |
| 0.343 | 4.0 | 860 | 0.9427 | 0.8089 | 0.7842 | 0.8324 | 0.7413 |
| 0.0974 | 5.0 | 1075 | 1.1330 | 0.8089 | 0.7807 | 0.8439 | 0.7264 |
| 0.0974 | 6.0 | 1290 | 1.2451 | 0.8019 | 0.7781 | 0.8187 | 0.7413 |
| 0.0187 | 7.0 | 1505 | 1.2750 | 0.8205 | 0.7958 | 0.8523 | 0.7463 |
| 0.0187 | 8.0 | 1720 | 1.3551 | 0.8135 | 0.7849 | 0.8538 | 0.7264 |
| 0.0187 | 9.0 | 1935 | 1.3652 | 0.8205 | 0.7979 | 0.8444 | 0.7562 |
| 0.0018 | 10.0 | 2150 | 1.4262 | 0.8112 | 0.7817 | 0.8529 | 0.7214 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0