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--- |
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license: mit |
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base_model: indobenchmark/indobert-lite-base-p1 |
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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: indobert-lite-base-p1-indonli-multilingual-nli-distil-mdeberta |
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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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# indobert-lite-base-p1-indonli-multilingual-nli-distil-mdeberta |
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This model is a fine-tuned version of [indobenchmark/indobert-lite-base-p1](https://huggingface.co/indobenchmark/indobert-lite-base-p1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5005 |
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- Accuracy: 0.6545 |
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- F1: 0.6524 |
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- Precision: 0.6615 |
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- Recall: 0.6577 |
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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: 64 |
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- eval_batch_size: 64 |
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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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| 0.4808 | 1.0 | 1803 | 0.4418 | 0.7683 | 0.7593 | 0.7904 | 0.7554 | |
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| 0.4529 | 2.0 | 3606 | 0.4343 | 0.7738 | 0.7648 | 0.7893 | 0.7619 | |
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| 0.4263 | 3.0 | 5409 | 0.4383 | 0.7861 | 0.7828 | 0.7874 | 0.7807 | |
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| 0.398 | 4.0 | 7212 | 0.4456 | 0.7792 | 0.7767 | 0.7792 | 0.7756 | |
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| 0.3772 | 5.0 | 9015 | 0.4499 | 0.7711 | 0.7674 | 0.7700 | 0.7661 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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