lfernandopg/Proyecto-Transformers

<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->

Proyecto-Transformers

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

• —Train Loss: 1.3322
• —Train Accuracy: 0.5469
• —Validation Loss: 2.5269
• —Validation Accuracy: 0.2944
• —Epoch: 4

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:

• —optimizer: {'name': 'Adam', 'learningrate': 5e-05, 'decay': 0.0, 'beta1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• —training_precision: float32

Training results

Framework versions

• —Transformers 4.27.4
• —TensorFlow 2.5.0
• —Tokenizers 0.13.2