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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: 0.3367 |
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- Precision: 0.8139 |
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- Recall: 0.8422 |
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- F1: 0.8278 |
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- Accuracy: 0.9420 |
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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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| 0.2503 | 1.0 | 1567 | 0.2331 | 0.7484 | 0.8148 | 0.7802 | 0.9294 | |
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| 0.1645 | 2.0 | 3134 | 0.2307 | 0.7987 | 0.8158 | 0.8072 | 0.9363 | |
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| 0.1097 | 3.0 | 4701 | 0.2588 | 0.7764 | 0.8334 | 0.8039 | 0.9360 | |
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| 0.0822 | 4.0 | 6268 | 0.2624 | 0.8056 | 0.8389 | 0.8219 | 0.9409 | |
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| 0.061 | 5.0 | 7835 | 0.2927 | 0.8183 | 0.8275 | 0.8229 | 0.9414 | |
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| 0.0407 | 6.0 | 9402 | 0.3156 | 0.8021 | 0.8350 | 0.8182 | 0.9399 | |
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| 0.0315 | 7.0 | 10969 | 0.3257 | 0.8102 | 0.8381 | 0.8239 | 0.9413 | |
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| 0.0238 | 8.0 | 12536 | 0.3367 | 0.8139 | 0.8422 | 0.8278 | 0.9420 | |
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### Framework versions |
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- Transformers 4.35.2 |
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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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