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roscazo/
WL_DISEASE_NER_v1

Name: WL_DISEASE_NER_v1
Rating: 2.5 (5 reviews)

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WL_DISEASE_NER_v1

This model is a fine-tuned version of PlanTL-GOB-ES/bsc-bio-ehr-es on the wl-disease dataset. It achieves the following results on the evaluation set:

Loss: 0.1489
Diso Precision: 0.7908
Diso Recall: 0.8397
Diso F1: 0.8145
Diso Number: 1765
Overall Precision: 0.7908
Overall Recall: 0.8397
Overall F1: 0.8145
Overall Accuracy: 0.9631

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Diso Precision	Diso Recall	Diso F1	Diso Number	Overall Precision	Overall Recall	Overall F1	Overall Accuracy
0.1199	1.0	1714	0.1187	0.7739	0.7972	0.7854	1765	0.7739	0.7972	0.7854	0.9610
0.0916	2.0	3428	0.1237	0.7748	0.8266	0.7999	1765	0.7748	0.8266	0.7999	0.9620
0.0625	3.0	5142	0.1343	0.7900	0.8289	0.8090	1765	0.7900	0.8289	0.8090	0.9630
0.0485	4.0	6856	0.1489	0.7908	0.8397	0.8145	1765	0.7908	0.8397	0.8145	0.9631

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

roscazo/WL_DISEASE_NER_v1

WL_DISEASE_NER_v1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

roscazo/
WL_DISEASE_NER_v1