chatbotColombia

This model is a fine-tuned version of mrm8488/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.2530
• Train End Logits Accuracy: 0.9260
• Train Start Logits Accuracy: 0.9254
• Validation Loss: 0.1771
• Validation End Logits Accuracy: 0.9358
• Validation Start Logits Accuracy: 0.9313
• Epoch: 1

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': 'AdamWeightDecay', 'learning_rate': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 3e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 13121, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 13121, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Train End Logits Accuracy	Train Start Logits Accuracy	Validation Loss	Validation End Logits Accuracy	Validation Start Logits Accuracy	Epoch
1.2322	0.6515	0.6459	0.2165	0.9301	0.9244	0
0.2530	0.9260	0.9254	0.1771	0.9358	0.9313	1

Framework versions

• Transformers 4.52.2
• TensorFlow 2.18.0
• Datasets 2.14.4
• Tokenizers 0.21.1