Article_500v2_NER_Model_3Epochs_UNAUGMENTED
This model is a fine-tuned version of bert-base-cased on the article500v2_wikigold_split dataset. It achieves the following results on the evaluation set:
- Loss: 0.1886
- Precision: 0.6510
- Recall: 0.7377
- F1: 0.6917
- Accuracy: 0.9367
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 | 62 | 0.2863 | 0.4448 | 0.5990 | 0.5105 | 0.8927 |
| No log | 2.0 | 124 | 0.1965 | 0.6070 | 0.7321 | 0.6637 | 0.9308 |
| No log | 3.0 | 186 | 0.1886 | 0.6510 | 0.7377 | 0.6917 | 0.9367 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 2.4.0
- Tokenizers 0.11.6
- Downloads last month
- 22
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Evaluation results
- Precision on article500v2_wikigold_splitself-reported0.651
- Recall on article500v2_wikigold_splitself-reported0.738
- F1 on article500v2_wikigold_splitself-reported0.692
- Accuracy on article500v2_wikigold_splitself-reported0.937