You can deploy this model and start earning money today!

IsaR2227/
beto-prostata_5E_4B

Name: beto-prostata_5E_4B
Availability: InStock

generated_from_trainer

dccuchile/bert-base-spanish-wwm-cased

finetune

autotrain_compatible

endpoints_compatible

Views

No views yet

beto-prostata_5E_4B

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: 0.0334
Precision: 0.9691
Recall: 0.9710
F1: 0.9701
Accuracy: 0.9944

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: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.126	1.0	777	0.0494	0.9326	0.9375	0.9351	0.9892
0.0485	2.0	1554	0.0306	0.9587	0.9681	0.9634	0.9937
0.0017	3.0	2331	0.0264	0.9778	0.9746	0.9762	0.9955
0.02	4.0	3108	0.0238	0.9791	0.9772	0.9782	0.9960
0.0397	5.0	3885	0.0227	0.9850	0.9811	0.9830	0.9966

Framework versions

Transformers 4.53.1
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2

IsaR2227/beto-prostata_5E_4B

beto-prostata_5E_4B

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

IsaR2227/
beto-prostata_5E_4B