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update model card README.md
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README.md
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---
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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: roberta-base-indonesian-1.5G-finetuned-wnli
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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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args: smsa
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9246031746031746
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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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# roberta-base-indonesian-1.5G-finetuned-wnli
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This model is a fine-tuned version of [cahya/roberta-base-indonesian-1.5G](https://huggingface.co/cahya/roberta-base-indonesian-1.5G) on the indonlu dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5420
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- Accuracy: 0.9246
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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: 16
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- eval_batch_size: 16
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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: 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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| 0.3123 | 1.0 | 688 | 0.3496 | 0.8944 |
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| 0.1888 | 2.0 | 1376 | 0.2877 | 0.9103 |
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| 0.0981 | 3.0 | 2064 | 0.3936 | 0.9143 |
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| 0.0529 | 4.0 | 2752 | 0.4431 | 0.9183 |
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| 0.0419 | 5.0 | 3440 | 0.5350 | 0.9167 |
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| 0.0121 | 6.0 | 4128 | 0.5420 | 0.9246 |
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| 0.0116 | 7.0 | 4816 | 0.5920 | 0.9175 |
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| 0.0042 | 8.0 | 5504 | 0.6440 | 0.9190 |
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| 0.0013 | 9.0 | 6192 | 0.6460 | 0.9222 |
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| 0.001 | 10.0 | 6880 | 0.6575 | 0.9230 |
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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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