You can deploy this model and start earning money today!

AmedeoBonatti/
nlp_te_ner_pubmedbert

Name: nlp_te_ner_pubmedbert
Availability: InStock

safetensors

bert

generated_from_trainer

AmedeoBonatti/nlp_te_mlm_pubmedbert

finetune

mit

Views

No views yet

nlp_te_ner_pubmedbert

This model is a fine-tuned version of AmedeoBonatti/nlp_te_mlm_pubmedbert on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0181
Precision: 0.9817
Recall: 0.9840
F1: 0.9829
Accuracy: 0.9959

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: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	21	0.0206	0.9783	0.9832	0.9808	0.9950
No log	2.0	42	0.0209	0.9766	0.9820	0.9793	0.9948
No log	3.0	63	0.0206	0.9788	0.9827	0.9807	0.9949
No log	4.0	84	0.0181	0.9817	0.9840	0.9829	0.9959
No log	5.0	105	0.0200	0.9785	0.9827	0.9806	0.9950
No log	6.0	126	0.0231	0.9705	0.9799	0.9752	0.9933
No log	7.0	147	0.0227	0.9738	0.9789	0.9764	0.9937
No log	8.0	168	0.0234	0.9726	0.9777	0.9751	0.9936
No log	9.0	189	0.0213	0.9768	0.9794	0.9781	0.9945

Framework versions

Transformers 4.41.2
Pytorch 2.2.1
Datasets 2.19.2
Tokenizers 0.19.1

AmedeoBonatti/nlp_te_ner_pubmedbert

nlp_te_ner_pubmedbert

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AmedeoBonatti/
nlp_te_ner_pubmedbert