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roberta-copec-1 – AI Model by RafaelMayer | AlphaNeural AI
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RafaelMayer
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roberta-copec-1
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transformers
tf
roberta
text-classification
generated_from_keras_callback
PlanTL-GOB-ES/roberta-base-bne
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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RafaelMayer/roberta-copec-1
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: 0.6572
Validation Loss: 0.6316
Train Accuracy: 0.8235
Train Precision: [0. 0.82352941]
Train Precision W: 0.6782
Train Recall: [0. 1.]
Train Recall W: 0.8235
Train F1: [0. 0.90322581]
Train F1 W: 0.7438
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': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 35, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '
passive_serialization
': True}, 'warmup_steps': 5, 'power': 1.0, 'name': None}}, '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
0.6572
0.6316
0.8235
[0. 0.82352941]
0.6782
[0. 1.]
0.8235
[0. 0.90322581]
0.7438
1
Framework versions
Transformers 4.32.1
TensorFlow 2.12.0
Datasets 2.14.4
Tokenizers 0.13.3