lulygavri/t-pol-ActiveLearning

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lulygavri/t-pol-ActiveLearning

This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-bne on an unknown dataset. It achieves the following results on the evaluation set:

• —Train Loss: 1.0921
• —Validation Loss: 1.0869
• —Train Accuracy: 0.2976
• —Train Precision: [0. 0. 0.30120482]
• —Train Precision W: 0.0896
• —Train Recall: [0. 0. 1.]
• —Train Recall W: 0.2976
• —Train F1: [0. 0. 0.46296296]
• —Train F1 W: 0.1378
• —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', 'weightdecay': None, 'clipnorm': None, 'globalclipnorm': None, 'clipvalue': None, 'useema': False, 'emamomentum': 0.99, 'emaoverwritefrequency': None, 'jitcompile': True, 'islegacyoptimizer': False, 'learningrate': {'module': 'transformers.optimizationtf', 'classname': 'WarmUp', 'config': {'initiallearningrate': 2e-05, 'decayschedulefn': {'module': 'keras.optimizers.schedules', 'classname': 'PolynomialDecay', 'config': {'initiallearningrate': 2e-05, 'decaysteps': -428, 'endlearningrate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registeredname': None}, 'warmupsteps': 500, 'power': 1.0, 'name': None}, 'registeredname': 'WarmUp'}, 'beta1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
• —training_precision: float32

Training results

Framework versions

• —Transformers 4.35.2
• —TensorFlow 2.15.0
• —Datasets 2.17.0
• —Tokenizers 0.15.2