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bert-finetuned-ner – AI Model by gaby96 | AlphaNeural AI
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bert-finetuned-ner
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transformers
safetensors
bert
token-classification
generated_from_trainer
conll2003
google-bert/bert-base-cased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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bert-finetuned-ner
This model is a fine-tuned version of
bert-base-cased
on the conll2003 dataset. It achieves the following results on the evaluation set:
Loss: 0.0832
Precision: 0.8868
Recall: 0.9244
F1: 0.9052
Accuracy: 0.9788
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 0.5
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.106
0.5001
1756
0.0832
0.8868
0.9244
0.9052
0.9788
Framework versions
Transformers 4.44.1
Pytorch 2.2.2
Datasets 2.21.0
Tokenizers 0.19.1
