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dtorber/
bert-base-spanish-wwm-cased

Name: bert-base-spanish-wwm-cased
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

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9387
F1 Macro: 0.8879
F1: 0.9207
F1 Neg: 0.8551
Acc: 0.8975
Prec: 0.9015
Recall: 0.9407
Mcc: 0.7774

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: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Macro	F1	F1 Neg	Acc	Prec	Recall	Mcc
0.2306	1.0	2061	0.5481	0.8775	0.9167	0.8382	0.89	0.88	0.9565	0.7614
0.0717	2.0	4122	0.7879	0.8615	0.8903	0.8328	0.8675	0.9348	0.8498	0.7293
0.0203	3.0	6183	0.9309	0.8795	0.9105	0.8485	0.8875	0.916	0.9051	0.7591
0.0146	4.0	8244	0.9387	0.8879	0.9207	0.8551	0.8975	0.9015	0.9407	0.7774
0.0103	5.0	10305	1.0163	0.8774	0.9126	0.8421	0.8875	0.8969	0.9289	0.7558

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

dtorber/bert-base-spanish-wwm-cased

bert-base-spanish-wwm-cased

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dtorber/
bert-base-spanish-wwm-cased