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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_v6 |
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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_v6 |
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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: 1.6532 |
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- Accuracy: 0.7636 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 12 |
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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 | 220 | 0.6064 | 0.7636 | |
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| No log | 2.0 | 440 | 0.9279 | 0.7273 | |
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| 0.7486 | 3.0 | 660 | 0.9049 | 0.7455 | |
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| 0.7486 | 4.0 | 880 | 1.1324 | 0.7545 | |
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| 0.3996 | 5.0 | 1100 | 1.5244 | 0.7091 | |
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| 0.3996 | 6.0 | 1320 | 1.7413 | 0.7545 | |
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| 0.1312 | 7.0 | 1540 | 1.6896 | 0.7455 | |
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| 0.1312 | 8.0 | 1760 | 1.8347 | 0.7545 | |
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| 0.1312 | 9.0 | 1980 | 1.6719 | 0.7818 | |
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| 0.0576 | 10.0 | 2200 | 1.7765 | 0.7636 | |
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| 0.0576 | 11.0 | 2420 | 1.6578 | 0.7727 | |
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| 0.0387 | 12.0 | 2640 | 1.6532 | 0.7636 | |
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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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