Training complete
Browse files- README.md +75 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: bert-base-cased
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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-3
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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-3
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5646
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- Precision: 0.1708
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- Recall: 0.4296
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- F1: 0.2444
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- Accuracy: 0.8849
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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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- num_epochs: 10
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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 | 211 | 0.3086 | 0.1551 | 0.2612 | 0.1946 | 0.9151 |
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| No log | 2.0 | 422 | 0.3039 | 0.1730 | 0.3608 | 0.2339 | 0.9091 |
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| 0.3957 | 3.0 | 633 | 0.3823 | 0.1396 | 0.3608 | 0.2013 | 0.8904 |
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| 0.3957 | 4.0 | 844 | 0.4147 | 0.1592 | 0.3780 | 0.2240 | 0.8862 |
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| 0.1085 | 5.0 | 1055 | 0.4257 | 0.1785 | 0.3814 | 0.2432 | 0.8963 |
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| 0.1085 | 6.0 | 1266 | 0.5030 | 0.1575 | 0.4055 | 0.2269 | 0.8797 |
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| 0.1085 | 7.0 | 1477 | 0.5427 | 0.1509 | 0.3883 | 0.2173 | 0.8784 |
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| 0.0488 | 8.0 | 1688 | 0.5601 | 0.1673 | 0.4467 | 0.2434 | 0.8775 |
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| 0.0488 | 9.0 | 1899 | 0.5518 | 0.1707 | 0.4124 | 0.2414 | 0.8880 |
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| 0.0243 | 10.0 | 2110 | 0.5646 | 0.1708 | 0.4296 | 0.2444 | 0.8849 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 430993062
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version https://git-lfs.github.com/spec/v1
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oid sha256:27275f086b04741d0c0c1513651dbfc53288716dc214cbed67fcfa28414b6643
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size 430993062
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