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bdc2024-indobartv2
andrianangg/bdc2024-indobartv2
bdc2024-indobartv2 is a text classification model from andrianangg. 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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- mbart
- Access
- Public
- Created
- Jun 5, 2024
- Updated
- Jun 5, 2024
- SHA
- 442dcfa8
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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. -->
bdc2024-indobartv2
This model is a fine-tuned version of indobenchmark/indobart-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3023
- Accuracy: 0.7162
- Balanced Accuracy: 0.4029
- Precision: 0.7027
- Recall: 0.7162
- F1: 0.6930
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Balanced Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 242 | 0.9849 | 0.7271 | 0.3492 | 0.6729 | 0.7271 | 0.6848 |
| No log | 2.0 | 484 | 0.9894 | 0.7293 | 0.3458 | 0.6597 | 0.7293 | 0.6824 |
| 0.7769 | 3.0 | 726 | 1.0067 | 0.7205 | 0.3858 | 0.6719 | 0.7205 | 0.6898 |
| 0.7769 | 4.0 | 968 | 1.1637 | 0.7314 | 0.3937 | 0.7281 | 0.7314 | 0.7006 |
| 0.3534 | 5.0 | 1210 | 1.3002 | 0.7358 | 0.3892 | 0.7103 | 0.7358 | 0.6999 |
| 0.3534 | 6.0 | 1452 | 1.3023 | 0.7162 | 0.4029 | 0.7027 | 0.7162 | 0.6930 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- mbart
- License
- mit
- Created
- Jun 5, 2024
- Updated
- Jun 5, 2024