You can deploy this model and start earning money today!

Ben0ni/
beto-ner-prostata-bs16

Name: beto-ner-prostata-bs16
Availability: InStock

generated_from_trainer

dccuchile/bert-base-spanish-wwm-cased

finetune

endpoints_compatible

Views

No views yet

beto-ner-prostata-bs16

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: 0.0654
Precision: 0.9542
Recall: 0.9600
F1: 0.9571

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: 32
eval_batch_size: 32
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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
2.0781	1.0	98	0.2771	0.7678	0.8220	0.7940
0.2541	2.0	196	0.1146	0.9138	0.9327	0.9231
0.1182	3.0	294	0.0610	0.9580	0.9605	0.9593
0.0791	4.0	392	0.0617	0.9558	0.9663	0.9611
0.0542	5.0	490	0.0535	0.9710	0.9761	0.9735
0.0408	6.0	588	0.0508	0.9780	0.9761	0.9770
0.0338	7.0	686	0.0488	0.9805	0.9767	0.9786
0.0304	8.0	784	0.0492	0.9812	0.9773	0.9792

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2

Ben0ni/beto-ner-prostata-bs16

beto-ner-prostata-bs16

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Ben0ni/
beto-ner-prostata-bs16