DisTEMIST_bsc_test1

roscazo/DisTEMIST_bsc_test1

DisTEMIST_bsc_test1 is a token classification model from roscazo. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: roberta
Access: Public
Created: Jan 4, 2023
Updated: Jan 4, 2023
SHA: 3c2f27b5

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Model card

From the Hugging Face model README

DisTEMIST_bsc_test1

This model is a fine-tuned version of PlanTL-GOB-ES/bsc-bio-ehr-es on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1876
Diso Precision: 0.7529
Diso Recall: 0.7818
Diso F1: 0.7671
Diso Number: 1407
Overall Precision: 0.7529
Overall Recall: 0.7818
Overall F1: 0.7671
Overall Accuracy: 0.9744

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: 4e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=2.6e-09
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 73
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Diso Precision	Diso Recall	Diso F1	Diso Number	Overall Precision	Overall Recall	Overall F1	Overall Accuracy
0.1734	1.0	997	0.1084	0.7166	0.6397	0.6759	1407	0.7166	0.6397	0.6759	0.9656
0.0589	2.0	1994	0.0896	0.7249	0.7662	0.7450	1407	0.7249	0.7662	0.7450	0.9725
0.0288	3.0	2991	0.1162	0.7199	0.7910	0.7538	1407	0.7199	0.7910	0.7538	0.9725
0.0163	4.0	3988	0.1267	0.7434	0.7783	0.7604	1407	0.7434	0.7783	0.7604	0.9731
0.0096	5.0	4985	0.1362	0.7406	0.7832	0.7613	1407	0.7406	0.7832	0.7613	0.9748
0.0047	6.0	5982	0.1573	0.7619	0.7711	0.7665	1407	0.7619	0.7711	0.7665	0.9745
0.0041	7.0	6979	0.1773	0.7083	0.7939	0.7487	1407	0.7083	0.7939	0.7487	0.9691
0.0019	8.0	7976	0.1682	0.7441	0.7811	0.7621	1407	0.7441	0.7811	0.7621	0.9741
0.0012	9.0	8973	0.1823	0.7507	0.7811	0.7656	1407	0.7507	0.7811	0.7656	0.9743
0.0004	10.0	9970	0.1876	0.7529	0.7818	0.7671	1407	0.7529	0.7818	0.7671	0.9744

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2

Task: Token Classification
Library: transformers
Type: roberta
License: apache-2.0
Created: Jan 4, 2023
Updated: Jan 4, 2023