Article_500v8_NER_Model_3Epochs_UNAUGMENTED
This model is a fine-tuned version of bert-base-cased on the article500v8_wikigold_split dataset. It achieves the following results on the evaluation set:
- Loss: 0.1980
- Precision: 0.6780
- Recall: 0.7117
- F1: 0.6945
- Accuracy: 0.9363
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 64 | 0.2758 | 0.5405 | 0.5298 | 0.5351 | 0.9135 |
| No log | 2.0 | 128 | 0.2129 | 0.6350 | 0.6695 | 0.6518 | 0.9296 |
| No log | 3.0 | 192 | 0.1980 | 0.6780 | 0.7117 | 0.6945 | 0.9363 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 2.4.0
- Tokenizers 0.11.6
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Evaluation results
- Precision on article500v8_wikigold_splitself-reported0.678
- Recall on article500v8_wikigold_splitself-reported0.712
- F1 on article500v8_wikigold_splitself-reported0.694
- Accuracy on article500v8_wikigold_splitself-reported0.936