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amorelli/
argento_model

safetensors

bert

generated_from_trainer

dccuchile/bert-base-spanish-wwm-cased

finetune

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argento_model

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: 0.0092
Accuracy: 1.0
F1: 1.0

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.1049	1.0	282	0.0406	1.0	1.0
0.0253	2.0	564	0.0152	1.0	1.0
0.017	3.0	846	0.0104	1.0	1.0
0.0138	4.0	1128	0.0092	1.0	1.0

Framework versions

Transformers 4.42.0
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.19.1

amorelli/argento_model

argento_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

amorelli/
argento_model