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gemashsentiment
bwahyuh/gemashsentiment
gemashsentiment is a text classification model from bwahyuh. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jun 27, 2024
- Updated
- Jun 27, 2024
- SHA
- 38b2df3e
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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. -->
gemashsentiment
This model is a fine-tuned version of indolem/indobertweet-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4131
- Accuracy: 0.925
- Precision: 0.9320
- Recall: 0.9231
- F1: 0.9271
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: 0.0001
- 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.4966 | 1.0 | 169 | 0.2953 | 0.9017 | 0.9150 | 0.8870 | 0.8987 |
| 0.1633 | 2.0 | 338 | 0.2859 | 0.92 | 0.9322 | 0.9151 | 0.9226 |
| 0.0495 | 3.0 | 507 | 0.3495 | 0.9317 | 0.9349 | 0.9289 | 0.9317 |
| 0.013 | 4.0 | 676 | 0.4131 | 0.925 | 0.9320 | 0.9231 | 0.9271 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 27, 2024
- Updated
- Jun 27, 2024