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--- |
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library_name: transformers |
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license: mit |
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base_model: ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-indonesian-finetuned-news |
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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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# bert-indonesian-finetuned-news |
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This model is a fine-tuned version of [ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa](https://huggingface.co/ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 1.1852 |
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- eval_model_preparation_time: 0.0032 |
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- eval_accuracy: 0.73 |
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- eval_runtime: 0.7599 |
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- eval_samples_per_second: 131.604 |
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- eval_steps_per_second: 17.109 |
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- step: 0 |
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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: 2e-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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- lr_scheduler_warmup_steps: 70 |
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- num_epochs: 7 |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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