This model is a fine-tuned version of bert-base-cased on the article100v3_wikigold_split dataset. It achieves the following results on the evaluation set:

Loss: 0.6272
Precision: 0.0
Recall: 0.0
F1: 0.0
Accuracy: 0.7772

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	Accuracy
No log	1.0	11	0.7637	0.7772
No log	2.0	22	0.6651	0.7772
No log	3.0	33	0.6272	0.7772

Framework versions

Transformers 4.17.0
Pytorch 1.11.0+cu113
Datasets 2.4.0
Tokenizers 0.11.6

DOOGLAK/Article_100v3_NER_Model_3Epochs_UNAUGMENTED

Article_100v3_NER_Model_3Epochs_UNAUGMENTED

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

DOOGLAK/
Article_100v3_NER_Model_3Epochs_UNAUGMENTED