lulygavri/rob-query

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lulygavri/rob-query

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: 0.1316
• —Validation Loss: 0.0718
• —Train Accuracy: 0.9887
• —Train Precision: [0.99169654 0.96353507]
• —Train Precision W: 0.9886
• —Train Recall: [0.99568164 0.93191281]
• —Train Recall W: 0.9887
• —Train F1: [0.99368509 0.94746016]
• —Train F1 W: 0.9886
• —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': 3630, '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}
• —trainingprecision: mixedfloat16

Training results

Framework versions

• —Transformers 4.35.2
• —TensorFlow 2.15.0
• —Datasets 2.16.1
• —Tokenizers 0.15.1