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--- |
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license: mit |
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base_model: LazarusNLP/NusaBERT-base |
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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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- f1 |
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model-index: |
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- name: NusaBERT-base-SmSA |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: indonlu |
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type: indonlu |
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config: smsa |
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split: validation |
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args: smsa |
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metrics: |
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- name: F1 |
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type: f1 |
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value: 0.8746 |
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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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# NusaBERT-base-SmSA |
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This model is a fine-tuned version of [LazarusNLP/NusaBERT-base](https://huggingface.co/LazarusNLP/NusaBERT-base) on the indonlu dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2992 |
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- F1: 0.8746 |
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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: 1e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 64 |
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- seed: 42 |
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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: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 1.0 | 344 | 0.2119 | 0.895 | |
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| 0.3517 | 2.0 | 688 | 0.1745 | 0.9193 | |
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| 0.1543 | 3.0 | 1032 | 0.1945 | 0.9135 | |
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| 0.1543 | 4.0 | 1376 | 0.1901 | 0.9149 | |
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| 0.1006 | 5.0 | 1720 | 0.2158 | 0.9172 | |
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| 0.0652 | 6.0 | 2064 | 0.2796 | 0.9151 | |
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| 0.0652 | 7.0 | 2408 | 0.3146 | 0.9164 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0+cu118 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.1 |
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