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distilled-optimized-indobert-classification
afbudiman/distilled-optimized-indobert-classification
distilled-optimized-indobert-classification is a text classification model from afbudiman. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Apr 19, 2022
- Updated
- Apr 19, 2022
- SHA
- d72b74ea
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Datasets
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. -->
distilled-optimized-indobert-classification
This model is a fine-tuned version of distilbert-base-uncased on the indonlu dataset. It achieves the following results on the evaluation set:
- Loss: 0.7397
- Accuracy: 0.9
- F1: 0.8994
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: 4.315104717136378e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 33
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.128 | 1.0 | 688 | 0.8535 | 0.8913 | 0.8917 |
| 0.1475 | 2.0 | 1376 | 0.9171 | 0.8913 | 0.8913 |
| 0.0997 | 3.0 | 2064 | 0.7799 | 0.8960 | 0.8951 |
| 0.0791 | 4.0 | 2752 | 0.7179 | 0.9032 | 0.9023 |
| 0.0577 | 5.0 | 3440 | 0.6908 | 0.9063 | 0.9055 |
| 0.0406 | 6.0 | 4128 | 0.7613 | 0.8992 | 0.8986 |
| 0.0275 | 7.0 | 4816 | 0.7502 | 0.8992 | 0.8989 |
| 0.023 | 8.0 | 5504 | 0.7408 | 0.8976 | 0.8969 |
| 0.0169 | 9.0 | 6192 | 0.7397 | 0.9 | 0.8994 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- Apr 19, 2022
- Updated
- Apr 19, 2022