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bert-finetuned-ner – AI Model by scmis011 | AlphaNeural AI
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scmis011
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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
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.
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
training_steps: 50
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
0.0285
50
0.6677
0.0925
0.0219
0.0354
0.7927
Framework versions
Transformers 4.41.2
Pytorch 2.3.1+cpu
Datasets 2.12.0
Tokenizers 0.19.1
