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README.md
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license: apache-2.0
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tags:
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- recall
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- f1
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- accuracy
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- name: macbert-finetuned-ner-drugname
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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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This model is a fine-tuned version of [shibing624/macbert4csc-base-chinese](https://huggingface.co/shibing624/macbert4csc-base-chinese) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0195
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- Precision: 0.0
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- Recall: 0.0
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- F1: 0.0
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- Accuracy: 0.9971
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## Model description
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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: 5e-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: linear
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- num_epochs: 8.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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| 0.0083 | 1.0 | 15362 | 0.0108 | 0.0 | 0.0 | 0.0 | 0.9964 |
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| 0.0053 | 2.0 | 30724 | 0.0116 | 0.0 | 0.0 | 0.0 | 0.9963 |
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| 0.0037 | 3.0 | 46086 | 0.0091 | 0.0 | 0.0 | 0.0 | 0.9977 |
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| 0.0022 | 4.0 | 61448 | 0.0112 | 0.0 | 0.0 | 0.0 | 0.9975 |
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| 0.0017 | 5.0 | 76810 | 0.0150 | 0.0 | 0.0 | 0.0 | 0.9970 |
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| 0.0008 | 6.0 | 92172 | 0.0175 | 0.0 | 0.0 | 0.0 | 0.9971 |
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| 0.0005 | 7.0 | 107534 | 0.0172 | 0.0 | 0.0 | 0.0 | 0.9971 |
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| 0.0002 | 8.0 | 122896 | 0.0195 | 0.0 | 0.0 | 0.0 | 0.9971 |
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### Framework versions
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- Transformers 4.15.0
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license: apache-2.0
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tags:
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- Token Classification
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language:
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- zh
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## Model description
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## Intended use
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More information needed
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## Training and evaluation data
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### Framework versions
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- Transformers 4.15.0
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