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bert-finetuned-ner-aug-v1 – AI Model by mbalos | AlphaNeural AI
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bert-finetuned-ner-aug-v1
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transformers
tensorboard
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-aug-v1
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: 0.0989
Precision: 0.8647
Recall: 0.8894
F1: 0.8769
Accuracy: 0.9717
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: 1755
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.153
1.0
1755
0.0989
0.8647
0.8894
0.8769
0.9717
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1
