Article_100v4_NER_Model_3Epochs_UNAUGMENTED
This model is a fine-tuned version of bert-base-cased on the article100v4_wikigold_split dataset. It achieves the following results on the evaluation set:
- Loss: 0.5862
- Precision: 0.1622
- Recall: 0.0031
- F1: 0.0060
- Accuracy: 0.7827
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 | 12 | 0.7284 | 0.0 | 0.0 | 0.0 | 0.7816 |
| No log | 2.0 | 24 | 0.6227 | 0.2 | 0.0003 | 0.0005 | 0.7817 |
| No log | 3.0 | 36 | 0.5862 | 0.1622 | 0.0031 | 0.0060 | 0.7827 |
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 article100v4_wikigold_splitself-reported0.162
- Recall on article100v4_wikigold_splitself-reported0.003
- F1 on article100v4_wikigold_splitself-reported0.006
- Accuracy on article100v4_wikigold_splitself-reported0.783