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--- |
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license: mit |
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base_model: w11wo/indonesian-roberta-base-sentiment-classifier |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: indonesia-election-sentiment-classification-finetuned-roberta-1 |
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results: [] |
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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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# indonesia-election-sentiment-classification-finetuned-roberta-1 |
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This model is a fine-tuned version of [w11wo/indonesian-roberta-base-sentiment-classifier](https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2566 |
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- Accuracy: 0.5565 |
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- F1 Weighted: 0.5613 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Weighted | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:| |
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| No log | 1.0 | 38 | 0.9822 | 0.4859 | 0.4578 | |
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| No log | 2.0 | 76 | 1.3101 | 0.5040 | 0.4872 | |
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| No log | 3.0 | 114 | 1.3172 | 0.5504 | 0.5300 | |
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| No log | 4.0 | 152 | 1.8168 | 0.5222 | 0.5283 | |
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| No log | 5.0 | 190 | 2.0302 | 0.5524 | 0.5515 | |
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| No log | 6.0 | 228 | 2.2566 | 0.5565 | 0.5613 | |
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| No log | 7.0 | 266 | 2.2423 | 0.5585 | 0.5607 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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