Modelpublic

Rodrigo1771/bsc-bio-ehr-es-symptemist-ner

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face

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Model Card

output

This model is a fine-tuned version of PlanTL-GOB-ES/bsc-bio-ehr-es on the Rodrigo1771/symptemist-ner dataset. It achieves the following results on the evaluation set:

—Loss: 0.2747
—Precision: 0.6675
—Recall: 0.7187
—F1: 0.6921
—Accuracy: 0.9483

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: 5e-05
—trainbatchsize: 32
—evalbatchsize: 8
—seed: 42
—gradientaccumulationsteps: 2
—totaltrainbatch_size: 64
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	150	0.1504	0.5091	0.6409	0.5675	0.9456
No log	2.0	300	0.1547	0.5881	0.6995	0.639	0.9462
No log	3.0	450	0.1618	0.6237	0.6984	0.6589	0.9476
0.126	4.0	600	0.1920	0.6154	0.7181	0.6628	0.9451
0.126	5.0	750	0.2102	0.6561	0.7028	0.6786	0.9488
0.126	6.0	900	0.2414	0.6443	0.7088	0.6750	0.9467
0.0251	7.0	1050	0.2500	0.6588	0.7061	0.6816	0.9492
0.0251	8.0	1200	0.2642	0.6440	0.7307	0.6846	0.9474
0.0251	9.0	1350	0.2747	0.6675	0.7187	0.6921	0.9483
0.0091	10.0	1500	0.2767	0.6595	0.7187	0.6878	0.9488

Framework versions

—Transformers 4.42.4
—Pytorch 2.4.0+cu121
—Datasets 2.21.0
—Tokenizers 0.19.1