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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- indonlu |
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metrics: |
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- accuracy |
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- f1 |
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base_model: distilbert-base-uncased |
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model-index: |
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- name: distilled-indobert-classification |
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results: |
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- task: |
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type: text-classification |
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name: Text Classification |
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dataset: |
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name: indonlu |
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type: indonlu |
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args: smsa |
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metrics: |
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- type: accuracy |
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value: 0.9015873015873016 |
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name: Accuracy |
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- type: f1 |
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value: 0.9014926755197933 |
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name: F1 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# distilled-indobert-classification |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the indonlu dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6015 |
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- Accuracy: 0.9016 |
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- F1: 0.9015 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 6e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 33 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 1.0427 | 1.0 | 688 | 0.6306 | 0.8683 | 0.8684 | |
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| 0.5332 | 2.0 | 1376 | 0.5621 | 0.8794 | 0.8779 | |
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| 0.3021 | 3.0 | 2064 | 0.6785 | 0.8905 | 0.8896 | |
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| 0.1851 | 4.0 | 2752 | 0.6085 | 0.8968 | 0.8959 | |
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| 0.1152 | 5.0 | 3440 | 0.6015 | 0.9016 | 0.9015 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 2.0.0 |
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- Tokenizers 0.11.6 |
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