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bert-is-prabowo-gibran-baseline
YagiASAFAS/bert-is-prabowo-gibran-baseline
bert-is-prabowo-gibran-baseline is a machine learning model from YagiASAFAS. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Nov 9, 2024
- Updated
- Nov 9, 2024
- SHA
- 5f89e59e
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. -->
bert-is-prabowo-gibran-baseline
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3483
- Accuracy: 0.725
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: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 5 | 3.3483 | 0.725 |
| No log | 2.0 | 10 | 3.4040 | 0.725 |
| No log | 3.0 | 15 | 3.4966 | 0.7 |
Framework versions
- Transformers 4.18.0
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.12.1
- Type
- bert
- License
- apache-2.0
- Created
- Nov 9, 2024
- Updated
- Nov 9, 2024