<!-- 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. -->
Tagged_Uni_500v2_NER_Model_3Epochs_AUGMENTED
This model is a fine-tuned version of bert-base-cased on the tagged_uni500v2_wikigold_split dataset. It achieves the following results on the evaluation set:
- Loss: 0.2645
- Precision: 0.7018
- Recall: 0.6812
- F1: 0.6913
- Accuracy: 0.9262
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 | 171 | 0.2364 | 0.6168 | 0.5804 | 0.5980 | 0.9178 |
| No log | 2.0 | 342 | 0.2626 | 0.6815 | 0.6417 | 0.6610 | 0.9210 |
| 0.1121 | 3.0 | 513 | 0.2645 | 0.7018 | 0.6812 | 0.6913 | 0.9262 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 2.4.0
- Tokenizers 0.11.6
