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--- |
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license: mit |
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base_model: indolem/indobert-base-uncased |
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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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: awkokawokawokoaw |
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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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# awkokawokawokoaw |
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This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5909 |
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- Accuracy: 0.7917 |
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- Precision: 0.7547 |
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- Recall: 0.7583 |
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- F1: 0.7544 |
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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: 0.0001 |
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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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 1.0793 | 1.0 | 169 | 1.0677 | 0.4333 | 0.1444 | 0.3333 | 0.2016 | |
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| 0.9871 | 2.0 | 338 | 0.9369 | 0.625 | 0.4613 | 0.5010 | 0.4515 | |
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| 0.7801 | 3.0 | 507 | 0.6453 | 0.76 | 0.7061 | 0.6986 | 0.7008 | |
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| 0.5823 | 4.0 | 676 | 0.5909 | 0.7917 | 0.7547 | 0.7583 | 0.7544 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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