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bert-finetuned-ner – AI Model by AmenAllah | AlphaNeural AI
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AmenAllah
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bert-finetuned-ner
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transformers
pytorch
tensorboard
bert
token-classification
generated_from_trainer
data_set
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 data_set dataset. It achieves the following results on the evaluation set:
Loss: 0.3395
Precision: 0.2081
Recall: 0.1950
F1: 0.2013
Accuracy: 0.9194
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
Precision
Recall
F1
Accuracy
No log
1.0
100
0.3796
0.125
0.0755
0.0941
0.9152
No log
2.0
200
0.3512
0.2131
0.1635
0.1851
0.9208
No log
3.0
300
0.3395
0.2081
0.1950
0.2013
0.9194
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2
