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--- |
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license: gpl-3.0 |
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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: ckiplab-bert-chinese-david-ner |
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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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# ckiplab-bert-chinese-david-ner |
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This model is a fine-tuned version of [ckiplab/bert-base-chinese](https://huggingface.co/ckiplab/bert-base-chinese) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2218 |
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- Precision: 0.8209 |
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- Recall: 0.8379 |
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- F1: 0.8294 |
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- Accuracy: 0.9452 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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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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| 0.2628 | 1.4 | 500 | 0.2450 | 0.8287 | 0.8172 | 0.8229 | 0.9390 | |
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| 0.0773 | 2.8 | 1000 | 0.2218 | 0.8209 | 0.8379 | 0.8294 | 0.9452 | |
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### Framework versions |
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- Transformers 4.29.0.dev0 |
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- Pytorch 1.10.1+cu113 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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