<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
Article_250v7_NER_Model_3Epochs_AUGMENTED
This model is a fine-tuned version of bert-base-cased on the article250v7_wikigold_split dataset. It achieves the following results on the evaluation set:
- Loss: 0.2210
- Precision: 0.6857
- Recall: 0.7036
- F1: 0.6946
- Accuracy: 0.9326
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 | 94 | 0.2230 | 0.6381 | 0.6587 | 0.6483 | 0.9244 |
| No log | 2.0 | 188 | 0.2181 | 0.6882 | 0.6851 | 0.6866 | 0.9299 |
| No log | 3.0 | 282 | 0.2210 | 0.6857 | 0.7036 | 0.6946 | 0.9326 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 2.4.0
- Tokenizers 0.11.6
