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
train_batch_size: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: 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

Rodrigo1771
/

bsc-bio-ehr-es-symptemist-ner

output

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Model tree for Rodrigo1771/bsc-bio-ehr-es-symptemist-ner

Dataset used to train Rodrigo1771/bsc-bio-ehr-es-symptemist-ner

Evaluation results