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End of training
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README.md
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base_model: w11wo/indo-roberta-small
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tags:
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- generated_from_trainer
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model-index:
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- name: indo-roberta-small-finetuned-indonlu-smsa
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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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# indo-roberta-small-finetuned-indonlu-smsa
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This model is a fine-tuned version of [w11wo/indo-roberta-small](https://huggingface.co/w11wo/indo-roberta-small) on
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## Model description
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- lr_scheduler_warmup_steps: 2000
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- num_epochs: 10
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### Framework versions
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- Transformers 4.38.2
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base_model: w11wo/indo-roberta-small
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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: indo-roberta-small-finetuned-indonlu-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: Accuracy
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type: accuracy
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value: 0.8809523809523809
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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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# indo-roberta-small-finetuned-indonlu-smsa
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This model is a fine-tuned version of [w11wo/indo-roberta-small](https://huggingface.co/w11wo/indo-roberta-small) on the indonlu dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4075
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- Accuracy: 0.8810
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## Model description
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- lr_scheduler_warmup_steps: 2000
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 344 | 0.6672 | 0.7103 |
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| 0.7802 | 2.0 | 688 | 0.4828 | 0.8111 |
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| 0.4817 | 3.0 | 1032 | 0.4378 | 0.8278 |
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| 0.4817 | 4.0 | 1376 | 0.3920 | 0.8540 |
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| 0.3703 | 5.0 | 1720 | 0.4251 | 0.8524 |
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| 0.2826 | 6.0 | 2064 | 0.3883 | 0.8659 |
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| 0.2826 | 7.0 | 2408 | 0.3782 | 0.8698 |
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| 0.2024 | 8.0 | 2752 | 0.3932 | 0.8698 |
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| 0.1429 | 9.0 | 3096 | 0.4075 | 0.8810 |
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| 0.1429 | 10.0 | 3440 | 0.4257 | 0.8738 |
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### Framework versions
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- Transformers 4.38.2
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