Downloads · 30 days
6
18% of all-time downloads
best_roberta_model_fold_5
choiruzzia/best_roberta_model_fold_5
best_roberta_model_fold_5 is a text classification model from choiruzzia. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
34
Public
Parameters
125M
499 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors499 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Jul 10, 2024
- Updated
- Jul 10, 2024
- SHA
- f9a2aa80
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
best_roberta_model_fold_5
This model is a fine-tuned version of ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1930
- Accuracy: 0.8625
- Precision: 0.8332
- Recall: 0.8376
- F1: 0.8353
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 252 | 0.5996 | 0.8526 | 0.8428 | 0.7584 | 0.7817 |
| 0.4616 | 2.0 | 504 | 0.7400 | 0.8207 | 0.7814 | 0.7663 | 0.7684 |
| 0.4616 | 3.0 | 756 | 0.7731 | 0.8586 | 0.8327 | 0.8058 | 0.8173 |
| 0.1366 | 4.0 | 1008 | 0.9903 | 0.8446 | 0.8110 | 0.8439 | 0.8182 |
| 0.1366 | 5.0 | 1260 | 1.0818 | 0.8506 | 0.8198 | 0.8084 | 0.8133 |
| 0.0362 | 6.0 | 1512 | 1.1802 | 0.8486 | 0.8164 | 0.8199 | 0.8178 |
| 0.0362 | 7.0 | 1764 | 1.1920 | 0.8586 | 0.8333 | 0.8135 | 0.8224 |
| 0.0119 | 8.0 | 2016 | 1.2077 | 0.8546 | 0.8206 | 0.8323 | 0.8259 |
| 0.0119 | 9.0 | 2268 | 1.2426 | 0.8526 | 0.8178 | 0.8323 | 0.8244 |
| 0.0034 | 10.0 | 2520 | 1.1930 | 0.8625 | 0.8332 | 0.8376 | 0.8353 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Jul 10, 2024
- Updated
- Jul 10, 2024