You can deploy this model and start earning money today!

Nikte1/
modelo-beto-burla

Name: modelo-beto-burla
Availability: InStock

generated_from_trainer

dccuchile/bert-base-spanish-wwm-cased

finetune

text-embeddings-inference

endpoints_compatible

Views

No views yet

modelo-beto-burla

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: 0.0574
Accuracy: 0.9825
Precision: 0.9524
Recall: 1.0
F1: 0.9756

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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.4113	1.0	29	0.1153	0.9825	1.0	0.95	0.9744
0.0446	2.0	58	0.0558	0.9825	0.9524	1.0	0.9756
0.0279	3.0	87	0.0574	0.9825	0.9524	1.0	0.9756

Framework versions

Transformers 5.13.1
Pytorch 2.11.0+cpu
Datasets 4.0.0
Tokenizers 0.22.2

Nikte1/modelo-beto-burla

modelo-beto-burla

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Nikte1/
modelo-beto-burla