metadata

license: apache-2.0
tags:
  - classification
  - generated_from_trainer
datasets:
  - amazon_polarity
metrics:
  - accuracy
model-index:
  - name: clasificador-reviews-amazon
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: amazon_polarity
          type: amazon_polarity
          config: amazon_polarity
          split: test
          args: amazon_polarity
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.926

clasificador-reviews-amazon

This model is a fine-tuned version of bert-base-uncased on the amazon_polarity dataset. It achieves the following results on the evaluation set:

Loss: 0.4642
Accuracy: 0.926

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

Los conjuntos de train y de test se han reducido respecto al dataset original amazon_polarity para mantener unos tiempos de ejecución relativamente cortos.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3674	1.0	625	0.2204	0.928
0.1924	2.0	1250	0.3444	0.926
0.0974	3.0	1875	0.4642	0.926

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3