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BiomedNLP-CIViC-evidence-level-finetuned – AI Model by JavierSanzCruza | AlphaNeural AI
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BiomedNLP-CIViC-evidence-level-finetuned
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safetensors
bert
generated_from_trainer
microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract
finetune
mit
us
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BiomedNLP-CIViC-evidence-level-finetuned
This model is a fine-tuned version of
microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5745
F1: 0.8312
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
F1
No log
1.0
73
1.5464
0.8260
No log
2.0
146
1.7265
0.7844
No log
3.0
219
1.6166
0.8260
No log
4.0
292
1.5619
0.8260
No log
5.0
365
1.5745
0.8312
Framework versions
Transformers 4.36.2
Pytorch 2.1.2
Datasets 2.21.0
Tokenizers 0.15.0
