metadata

license: cc0-1.0
base_model: bionlp/bluebert_pubmed_uncased_L-12_H-768_A-12
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - precision
  - recall
  - f1
model-index:
  - name: NHS-bluebert-multi
    results: []

NHS-bluebert-multi

This model is a fine-tuned version of bionlp/bluebert_pubmed_uncased_L-12_H-768_A-12 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8729
Accuracy: 0.7098
Precision: 0.7153
Recall: 0.7098
F1: 0.7118

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: 3e-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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.1093	1.0	397	0.7138	0.7243	0.7288	0.7243	0.7262
0.0518	2.0	794	0.8117	0.7073	0.7007	0.7073	0.6926
1.9889	3.0	1191	0.8729	0.7098	0.7153	0.7098	0.7118

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2