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--- |
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license: mit |
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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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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: indonesian-roberta-base-prdect-id |
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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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# indonesian-roberta-base-prdect-id |
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This model is a fine-tuned version of [flax-community/indonesian-roberta-base](https://huggingface.co/flax-community/indonesian-roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8133 |
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- Accuracy: 0.6852 |
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- F1: 0.6447 |
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- Precision: 0.6464 |
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- Recall: 0.6437 |
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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: 32 |
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- eval_batch_size: 32 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 1.0358 | 1.0 | 152 | 0.8293 | 0.6519 | 0.5814 | 0.6399 | 0.5746 | |
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| 0.7012 | 2.0 | 304 | 0.7444 | 0.6741 | 0.6269 | 0.6360 | 0.6220 | |
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| 0.5599 | 3.0 | 456 | 0.7635 | 0.6852 | 0.6440 | 0.6433 | 0.6453 | |
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| 0.4628 | 4.0 | 608 | 0.8031 | 0.6852 | 0.6421 | 0.6471 | 0.6396 | |
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| 0.4027 | 5.0 | 760 | 0.8133 | 0.6852 | 0.6447 | 0.6464 | 0.6437 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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