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BlueBERT_JNLPBA_NER – AI Model by judithrosell | AlphaNeural AI
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BlueBERT_JNLPBA_NER
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transformers
tensorboard
safetensors
bert
token-classification
generated_from_trainer
bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12
finetune
cc0-1.0
autotrain_compatible
endpoints_compatible
us
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BlueBERT_JNLPBA_NER
This model is a fine-tuned version of
bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1586
Precision: 0.8051
Recall: 0.8205
F1: 0.8128
Accuracy: 0.9473
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
gradient_accumulation_steps: 2
total_train_batch_size: 32
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
0.3151
1.0
582
0.1675
0.7937
0.7926
0.7932
0.9439
0.1639
2.0
1164
0.1618
0.8068
0.8053
0.8061
0.9470
0.143
3.0
1746
0.1586
0.8051
0.8205
0.8128
0.9473
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.0
Tokenizers 0.15.0
