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bert-finetuned-ner – AI Model by Kevin201217 | AlphaNeural AI
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bert-finetuned-ner
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transformers
tensorboard
safetensors
biogpt
token-classification
generated_from_trainer
microsoft/biogpt
finetune
mit
autotrain_compatible
endpoints_compatible
us
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bert-finetuned-ner
This model is a fine-tuned version of
microsoft/biogpt
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0909
Precision: 0.6831
Recall: 0.7942
F1: 0.7344
Accuracy: 0.9787
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
0.1074
1.0
679
0.0666
0.6112
0.7891
0.6889
0.9764
0.0483
2.0
1358
0.0678
0.6894
0.8094
0.7446
0.9793
0.0136
3.0
2037
0.0909
0.6831
0.7942
0.7344
0.9787
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
