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bert-base-cased-ner-conll2003 – AI Model by kamalkraj | AlphaNeural AI
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kamalkraj
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bert-base-cased-ner-conll2003
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transformers
pytorch
tensorboard
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-base-cased-ner-conll2003
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: 0.0355
Precision: 0.9438
Recall: 0.9525
F1: 0.9482
Accuracy: 0.9911
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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.19.0.dev0
Pytorch 1.11.0+cu102
Datasets 2.1.0
Tokenizers 0.12.1
