metadata
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: indobert_emotion_analysis
results: []
indobert_emotion_analysis
This model is a fine-tuned version of indolem/indobert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9241
- Accuracy: 0.7350
- F1: 0.7350
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: 40
- eval_batch_size: 40
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7852 | 1.0 | 1343 | 0.7449 | 0.6951 | 0.6951 |
| 0.6399 | 2.0 | 2686 | 0.6838 | 0.7237 | 0.7237 |
| 0.4735 | 3.0 | 4029 | 0.7123 | 0.7293 | 0.7293 |
| 0.3266 | 4.0 | 5372 | 0.8186 | 0.7356 | 0.7356 |
| 0.2114 | 5.0 | 6715 | 0.9241 | 0.7350 | 0.7350 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1