Indonesian Sarcasm Detection
Collection
D. Suhartono, W. Wongso and A. T. Handoyo, "IdSarcasm: Benchmarking and Evaluating Language Models for Indonesian Sarcasm Detection," in IEEE Access.
•
14 items
•
Updated
indobert-large-p1-reddit-indonesia-sarcastic
This model is a fine-tuned version of indobenchmark/indobert-large-p1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4486
- Accuracy: 0.7911
- F1: 0.6184
- Precision: 0.5690
- Recall: 0.6771
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 100.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.4573 | 1.0 | 309 | 0.4251 | 0.7966 | 0.5684 | 0.6058 | 0.5354 |
| 0.3274 | 2.0 | 618 | 0.4458 | 0.7824 | 0.5955 | 0.5567 | 0.6402 |
| 0.1999 | 3.0 | 927 | 0.5890 | 0.8065 | 0.5412 | 0.6653 | 0.4561 |
| 0.0864 | 4.0 | 1236 | 0.8080 | 0.8023 | 0.5536 | 0.6360 | 0.4901 |
| 0.0391 | 5.0 | 1545 | 1.1299 | 0.7895 | 0.5293 | 0.6007 | 0.4731 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Downloads last month
- 11
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for w11wo/indobert-large-p1-reddit-indonesia-sarcastic
Base model
indobenchmark/indobert-large-p1