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model2
Rosyida/model2
model2 is a text classification model from Rosyida. 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
- Mar 23, 2025
- Updated
- Mar 23, 2025
- SHA
- 42015257
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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. -->
model2
This model is a fine-tuned version of indolem/indobertweet-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6491
- Accuracy: 0.7353
- Precision: 0.3939
- Recall: 0.5977
- F1: 0.3974
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 1.0013 | 1.0 | 5 | 0.6902 | 0.8529 | 0.4437 | 0.6437 | 0.5008 |
| 0.8087 | 2.0 | 10 | 0.5802 | 0.8529 | 0.4122 | 0.4885 | 0.4444 |
| 0.6154 | 3.0 | 15 | 0.7073 | 0.7353 | 0.3939 | 0.5977 | 0.3974 |
| 0.4702 | 4.0 | 20 | 0.5196 | 0.8235 | 0.4167 | 0.6322 | 0.4485 |
| 0.3624 | 5.0 | 25 | 0.6491 | 0.7353 | 0.3939 | 0.5977 | 0.3974 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 23, 2025
- Updated
- Mar 23, 2025