lilyyellow
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End of training
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README.md
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---
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base_model: FacebookAI/xlm-roberta-base
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tags:
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- generated_from_trainer
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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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# my_awesome_ner-token_classification_v1.0
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- eval_runtime: 6.2464
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- eval_samples_per_second: 80.046
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- eval_steps_per_second: 5.123
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- epoch: 9.9645
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- step: 2810
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## Model description
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- lr_scheduler_type: cosine
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- num_epochs: 20
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### Framework versions
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- Transformers 4.41.2
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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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# 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: 1.0322
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- Precision: 0.4590
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- Recall: 0.5400
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- F1: 0.4963
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- Accuracy: 0.7805
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## Model description
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- lr_scheduler_type: cosine
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- num_epochs: 20
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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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| 0.8701 | 1.9929 | 562 | 0.8431 | 0.4537 | 0.4154 | 0.4337 | 0.7907 |
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| 0.5651 | 3.9858 | 1124 | 0.7613 | 0.4524 | 0.4899 | 0.4704 | 0.7898 |
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| 0.4312 | 5.9787 | 1686 | 0.8134 | 0.4654 | 0.5182 | 0.4904 | 0.7902 |
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| 0.3305 | 7.9716 | 2248 | 0.8743 | 0.4417 | 0.5336 | 0.4833 | 0.7762 |
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| 0.255 | 9.9645 | 2810 | 0.9331 | 0.4217 | 0.5375 | 0.4726 | 0.7694 |
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| 0.2071 | 11.9574 | 3372 | 0.9707 | 0.4527 | 0.5435 | 0.4940 | 0.7795 |
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| 0.1984 | 13.9504 | 3934 | 0.9967 | 0.4663 | 0.5336 | 0.4977 | 0.7834 |
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| 0.1702 | 15.9433 | 4496 | 1.0322 | 0.4590 | 0.5400 | 0.4963 | 0.7805 |
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### Framework versions
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- Transformers 4.41.2
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