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charqican/
nominal-groups-recognition-bert-base-spanish-wwm-cased

Name: nominal-groups-recognition-bert-base-spanish-wwm-cased
Availability: InStock

generated_from_trainer

charqican/spanish_nominal_groups_conll2003

autotrain_compatible

endpoints_compatible

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nominal-groups-recognition-bert-base-spanish-wwm-cased

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the charqican/spanish_nominal_groups_conll2003 dataset. It achieves the following results on the evaluation set:

Loss: 0.2772
Ng Precision: 0.7140
Ng Recall: 0.7695
Ng F1: 0.7407
Ng Number: 3198
Overall Precision: 0.7140
Overall Recall: 0.7695
Overall F1: 0.7407
Overall Accuracy: 0.8993

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: 8
eval_batch_size: 8
seed: 13
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Ng Precision	Ng Recall	Ng F1	Ng Number	Overall Precision	Overall Recall	Overall F1	Overall Accuracy
0.3988	1.0	228	0.2792	0.7108	0.7577	0.7335	3198	0.7108	0.7577	0.7335	0.8935
0.2257	2.0	456	0.2772	0.7140	0.7695	0.7407	3198	0.7140	0.7695	0.7407	0.8993

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

charqican/nominal-groups-recognition-bert-base-spanish-wwm-cased

nominal-groups-recognition-bert-base-spanish-wwm-cased

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

charqican/
nominal-groups-recognition-bert-base-spanish-wwm-cased