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BioBERT_BioNLP13CG_NER_new – AI Model by judithrosell | AlphaNeural AI
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judithrosell
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BioBERT_BioNLP13CG_NER_new
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transformers
tensorboard
safetensors
bert
token-classification
generated_from_trainer
dmis-lab/biobert-v1.1
finetune
autotrain_compatible
endpoints_compatible
us
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BioBERT_BioNLP13CG_NER_new
This model is a fine-tuned version of
dmis-lab/biobert-v1.1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1721
Precision: 0.8444
Recall: 0.8396
F1: 0.8420
Accuracy: 0.9571
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
191
0.2112
0.8333
0.8134
0.8232
0.9507
No log
2.0
382
0.1744
0.8304
0.8400
0.8352
0.9557
0.3204
3.0
573
0.1721
0.8444
0.8396
0.8420
0.9571
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
