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biobert_v1.1_pubmed-finetuned-ner-finetuned-ner – AI Model by fidukm34 | AlphaNeural AI
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fidukm34
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biobert_v1.1_pubmed-finetuned-ner-finetuned-ner
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transformers
pytorch
bert
token-classification
generated_from_trainer
ncbi_disease
autotrain_compatible
endpoints_compatible
us
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biobert_v1.1_pubmed-finetuned-ner-finetuned-ner
This model is a fine-tuned version of
fidukm34/biobert_v1.1_pubmed-finetuned-ner
on the ncbi_disease dataset. It achieves the following results on the evaluation set:
Loss: 0.0715
Precision: 0.8464
Recall: 0.8872
F1: 0.8663
Accuracy: 0.9829
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
340
0.0715
0.8464
0.8872
0.8663
0.9829
Framework versions
Transformers 4.8.1
Pytorch 1.9.0+cu102
Datasets 1.11.0
Tokenizers 0.10.3
