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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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model-index: |
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- name: Zidan_model_output_v3 |
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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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# Zidan_model_output_v3 |
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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: 0.8558 |
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- Accuracy: 0.6364 |
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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: 1e-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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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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- lr_scheduler_warmup_steps: 100 |
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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 | 193 | 1.0399 | 0.5114 | |
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| No log | 2.0 | 386 | 0.9771 | 0.5758 | |
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| 1.0347 | 3.0 | 579 | 0.9387 | 0.5947 | |
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| 1.0347 | 4.0 | 772 | 0.8982 | 0.6136 | |
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| 1.0347 | 5.0 | 965 | 0.8807 | 0.625 | |
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| 0.848 | 6.0 | 1158 | 0.8706 | 0.6288 | |
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| 0.848 | 7.0 | 1351 | 0.8641 | 0.6515 | |
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| 0.7481 | 8.0 | 1544 | 0.8558 | 0.6364 | |
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| 0.7481 | 9.0 | 1737 | 0.8595 | 0.6326 | |
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| 0.7481 | 10.0 | 1930 | 0.8559 | 0.6439 | |
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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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