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README.md
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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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model-index:
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- name: Accuracy
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type: accuracy
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value: 0.9261904761904762
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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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- Loss: 0.4294
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- Accuracy: 0.9262
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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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| 0.004 | 10.0 | 6880 | 0.5800 | 0.9175 |
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### Framework versions
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- Transformers 4.14.1
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- Pytorch 1.10.0+cu111
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- Datasets 1.16.1
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- Tokenizers 0.10.3
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tags:
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- generated_from_trainer
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datasets:
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- indonlp/indonlu
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metrics:
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- accuracy
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model-index:
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- name: Accuracy
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type: accuracy
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value: 0.9261904761904762
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language:
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- id
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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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- Loss: 0.4294
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- Accuracy: 0.9262
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### Training hyperparameters
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The following hyperparameters were used during training:
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| 0.004 | 10.0 | 6880 | 0.5800 | 0.9175 |
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### How to use this model in Transformers Library
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```python
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from transformers import pipeline
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pipe = pipeline("text-classification", model="ayameRushia/roberta-base-indonesian-1.5G-sentiment-analysis-smsa")
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pipe("Terima kasih atas bantuannya ya!")
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```
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### Framework versions
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- Transformers 4.14.1
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- Pytorch 1.10.0+cu111
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- Datasets 1.16.1
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- Tokenizers 0.10.3
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