metadata

base_model: dccuchile/bert-base-spanish-wwm-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
  - precision
  - recall
model-index:
  - name: bert-base-spanish-wwm-uncased-finetuned-political_elsalvadore
    results: []

bert-base-spanish-wwm-uncased-finetuned-political_elsalvadore

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.3034
Accuracy: 0.78
F1: 0.7796
Precision: 0.7794
Recall: 0.78

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	66	0.6370	0.7156	0.7164	0.7237	0.7156
0.62	2.0	132	0.6332	0.7356	0.7342	0.7333	0.7356
0.62	3.0	198	0.7050	0.7356	0.7383	0.7488	0.7356
0.2306	4.0	264	0.8853	0.7356	0.7339	0.7330	0.7356
0.2306	5.0	330	1.0291	0.7244	0.7260	0.7300	0.7244
0.0704	6.0	396	1.1888	0.7333	0.7360	0.7416	0.7333
0.0704	7.0	462	1.3355	0.72	0.7245	0.7376	0.72
0.0225	8.0	528	1.3803	0.7444	0.7465	0.7500	0.7444
0.0225	9.0	594	1.4822	0.7267	0.7303	0.7415	0.7267
0.0108	10.0	660	1.4441	0.7333	0.7353	0.7386	0.7333

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1