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--- |
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license: afl-3.0 |
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base_model: Davlan/bert-base-multilingual-cased-ner-hrl |
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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: belajarner_bert_case |
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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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# belajarner_bert_case |
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This model is a fine-tuned version of [Davlan/bert-base-multilingual-cased-ner-hrl](https://huggingface.co/Davlan/bert-base-multilingual-cased-ner-hrl) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3309 |
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- Precision: 0.8120 |
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- Recall: 0.8430 |
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- F1: 0.8272 |
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- Accuracy: 0.9423 |
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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: 8 |
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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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- num_epochs: 8 |
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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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| 0.2528 | 1.0 | 1567 | 0.2352 | 0.7442 | 0.8116 | 0.7765 | 0.9282 | |
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| 0.1653 | 2.0 | 3134 | 0.2250 | 0.8008 | 0.8218 | 0.8112 | 0.9378 | |
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| 0.1125 | 3.0 | 4701 | 0.2545 | 0.7703 | 0.8381 | 0.8028 | 0.9343 | |
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| 0.083 | 4.0 | 6268 | 0.2633 | 0.8065 | 0.8353 | 0.8206 | 0.9401 | |
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| 0.0602 | 5.0 | 7835 | 0.2860 | 0.8124 | 0.8229 | 0.8176 | 0.9413 | |
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| 0.0411 | 6.0 | 9402 | 0.3129 | 0.8026 | 0.8353 | 0.8186 | 0.9404 | |
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| 0.0324 | 7.0 | 10969 | 0.3180 | 0.8036 | 0.8400 | 0.8214 | 0.9418 | |
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| 0.0248 | 8.0 | 12536 | 0.3309 | 0.8120 | 0.8430 | 0.8272 | 0.9423 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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