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Lohit20/
biobert-v1.2-base-cased-v1.2-ner

Name: biobert-v1.2-base-cased-v1.2-ner
Availability: InStock

generated_from_trainer

dmis-lab/biobert-base-cased-v1.2

finetune

autotrain_compatible

endpoints_compatible

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biobert-v1.2-base-cased-v1.2-ner

This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3207
Precision: 0.7657
Recall: 0.8550
F1: 0.8079
Accuracy: 0.9149

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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	125	0.2665	0.7467	0.8329	0.7875	0.9074
No log	2.0	250	0.2663	0.7735	0.8600	0.8144	0.9124
No log	3.0	375	0.2681	0.7619	0.8256	0.7925	0.9106
0.1816	4.0	500	0.2867	0.7674	0.8673	0.8143	0.9126
0.1816	5.0	625	0.3126	0.7691	0.8550	0.8098	0.9151
0.1816	6.0	750	0.3207	0.7657	0.8550	0.8079	0.9149

Framework versions

Transformers 4.44.2
Pytorch 2.6.0+cu124
Datasets 3.5.1
Tokenizers 0.19.1

Lohit20/biobert-v1.2-base-cased-v1.2-ner

biobert-v1.2-base-cased-v1.2-ner

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Lohit20/
biobert-v1.2-base-cased-v1.2-ner