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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: bert-base-multilingual-cased-finetuned-ijelid |
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results: [] |
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widget: |
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- text: "Productnya bagus bgt guys, nek bales chat cepet tur pelayanane apik." |
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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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# bert-base-multilingual-cased-finetuned-ijelid |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5701 |
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- Precision: 0.9255 |
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- Recall: 0.9206 |
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- F1: 0.9229 |
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- Accuracy: 0.9449 |
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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: 3e-05 |
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- train_batch_size: 256 |
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- eval_batch_size: 128 |
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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 | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| No log | 1.0 | 25 | 0.5654 | 0.9300 | 0.9143 | 0.9219 | 0.9443 | |
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| No log | 2.0 | 50 | 0.5853 | 0.9272 | 0.9162 | 0.9214 | 0.9437 | |
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| No log | 3.0 | 75 | 0.5760 | 0.9275 | 0.9199 | 0.9235 | 0.9445 | |
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| No log | 4.0 | 100 | 0.5733 | 0.9254 | 0.9209 | 0.9230 | 0.9445 | |
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| No log | 5.0 | 125 | 0.5701 | 0.9255 | 0.9206 | 0.9229 | 0.9449 | |
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### Framework versions |
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- Transformers 4.21.2 |
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- Pytorch 1.12.1+cu102 |
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- Datasets 2.5.1 |
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- Tokenizers 0.12.1 |
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