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GetialJuan/
bert-base-spanish-wwm-cased-finetuned-ner-biobert

Name: bert-base-spanish-wwm-cased-finetuned-ner-biobert
Availability: InStock

generated_from_trainer

dccuchile/bert-base-spanish-wwm-cased

finetune

autotrain_compatible

endpoints_compatible

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bert-base-spanish-wwm-cased-finetuned-ner-biobert

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1232
Precision: 0.9449
Recall: 0.9673
F1: 0.9560
Accuracy: 0.9763

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.3589	1.0	612	0.1104	0.9499	0.9453	0.9476	0.9716
0.1104	2.0	1224	0.1064	0.9376	0.9722	0.9546	0.9755
0.0768	3.0	1836	0.0995	0.9489	0.9700	0.9593	0.9782
0.0596	4.0	2448	0.1044	0.9480	0.9721	0.9599	0.9782
0.0412	5.0	3060	0.1046	0.9512	0.9664	0.9588	0.9775
0.0361	6.0	3672	0.1106	0.9477	0.9650	0.9563	0.9759
0.0285	7.0	4284	0.1120	0.9454	0.9675	0.9563	0.9762
0.0292	8.0	4896	0.1182	0.9463	0.9684	0.9572	0.9769
0.0219	9.0	5508	0.1201	0.9457	0.9672	0.9563	0.9766
0.0199	10.0	6120	0.1232	0.9449	0.9673	0.9560	0.9763

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0

GetialJuan/bert-base-spanish-wwm-cased-finetuned-ner-biobert

bert-base-spanish-wwm-cased-finetuned-ner-biobert

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

GetialJuan/
bert-base-spanish-wwm-cased-finetuned-ner-biobert