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', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
1.5237	0.5237	2.2847	0.3024	0
1.4421	0.5378	2.3720	0.2823	1
1.3973	0.5439	2.4879	0.2742	2
1.3523	0.5610	2.4525	0.2944	3
1.3322	0.5469	2.5269	0.2944	4

Framework versions

• Transformers 4.27.4
• TensorFlow 2.5.0
• Tokenizers 0.13.2