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--- |
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license: apache-2.0 |
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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: BERT_NER_Ep5-finetuned-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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# BERT_NER_Ep5-finetuned-ner |
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3553 |
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- Precision: 0.6526 |
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- Recall: 0.7248 |
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- F1: 0.6868 |
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- Accuracy: 0.9004 |
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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: linear |
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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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| No log | 1.0 | 288 | 0.3675 | 0.5906 | 0.5854 | 0.5880 | 0.8802 | |
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| 0.4803 | 2.0 | 576 | 0.3456 | 0.5863 | 0.7371 | 0.6531 | 0.8864 | |
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| 0.4803 | 3.0 | 864 | 0.3273 | 0.6478 | 0.7091 | 0.6771 | 0.8987 | |
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| 0.2233 | 4.0 | 1152 | 0.3441 | 0.6539 | 0.7226 | 0.6865 | 0.9001 | |
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| 0.2233 | 5.0 | 1440 | 0.3553 | 0.6526 | 0.7248 | 0.6868 | 0.9004 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.9.0+cu111 |
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- Datasets 1.12.1 |
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- Tokenizers 0.10.3 |
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