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

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the conll2002 dataset. It achieves the following results on the evaluation set:

Loss: 0.1154
Precision: 0.8528
Recall: 0.8626
F1: 0.8577
Accuracy: 0.9780

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: 3e-05
train_batch_size: 10
eval_batch_size: 10
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	Precision	Recall	F1	Accuracy
0.1072	1.0	833	0.0905	0.8432	0.8451	0.8442	0.9779
0.0347	2.0	1666	0.0934	0.8592	0.8612	0.8602	0.9782
0.0218	3.0	2499	0.1078	0.8537	0.8568	0.8553	0.9776
0.0106	4.0	3332	0.1154	0.8528	0.8626	0.8577	0.9780

Framework versions

Transformers 4.12.5
Pytorch 1.10.0+cu111
Datasets 1.15.1
Tokenizers 0.10.3

StivenLancheros
/

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

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

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Dataset used to train StivenLancheros/bert-base-spanish-wwm-cased-finetuned-ner-false

Evaluation results