metadata

base_model: dccuchile/bert-base-spanish-wwm-uncased
tags:
  - generated_from_keras_callback
model-index:
  - name: lulygavri/sub2-trans
    results: []

lulygavri/sub2-trans

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:

Train Loss: 0.2010
Validation Loss: 0.7379
Train Accuracy: 0.7400
Train Precision: [0.71450617 0.99236641]
Train Precision W: 0.8119
Train Recall: [0.99892125 0.26 ]
Train Recall W: 0.7400
Train F1: [0.83310841 0.41204437]
Train F1 W: 0.6856
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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 3436, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 500, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Validation Loss	Train Accuracy	Train Precision	Train Precision W	Train Recall	Train Recall W	Train F1	Train F1 W	Epoch
0.2010	0.7379	0.7400	[0.71450617 0.99236641]	0.8119	[0.99892125 0.26 ]	0.7400	[0.83310841 0.41204437]	0.6856	1

Framework versions

Transformers 4.38.2
TensorFlow 2.15.0
Datasets 2.18.0
Tokenizers 0.15.2