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--- |
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base_model: NlpHUST/ner-vietnamese-electra-base |
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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: my_awesome_ner-token_classification_v1.0 |
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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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# my_awesome_ner-token_classification_v1.0 |
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This model is a fine-tuned version of [NlpHUST/ner-vietnamese-electra-base](https://huggingface.co/NlpHUST/ner-vietnamese-electra-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0564 |
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- Precision: 0.3927 |
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- Recall: 0.3568 |
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- F1: 0.3739 |
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- Accuracy: 0.7604 |
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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: 16 |
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- eval_batch_size: 16 |
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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: cosine |
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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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| 1.5012 | 1.0 | 113 | 1.4692 | 0.4388 | 0.2417 | 0.3117 | 0.7136 | |
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| 1.2038 | 2.0 | 226 | 1.1948 | 0.3838 | 0.3237 | 0.3512 | 0.7469 | |
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| 1.1061 | 3.0 | 339 | 1.0912 | 0.4200 | 0.3402 | 0.3759 | 0.7603 | |
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| 0.9903 | 4.0 | 452 | 1.0600 | 0.4081 | 0.3548 | 0.3796 | 0.7608 | |
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| 0.9847 | 5.0 | 565 | 1.0564 | 0.3927 | 0.3568 | 0.3739 | 0.7604 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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