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xlmrBERTa_ASE_BIES_2L_ – AI Model by khadija69 | AlphaNeural AI
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khadija69
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xlmrBERTa_ASE_BIES_2L_
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0
transformers
tf
xlm-roberta
token-classification
generated_from_keras_callback
khadija69/xlmrBERTa_ASE_BIES
finetune
mit
autotrain_compatible
endpoints_compatible
us
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khadija69/xlmrBERTa_ASE_BIES_2L_
This model is a fine-tuned version of
khadija69/xlmrBERTa_ASE_BIES
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.6935
Train Accuracy: 0.5471
Validation Loss: 0.7226
Validation Accuracy: 0.5377
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': 2e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1900, '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'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Train Accuracy
Validation Loss
Validation Accuracy
Epoch
0.7723
0.5250
0.7696
0.5300
0
0.6935
0.5471
0.7226
0.5377
1
Framework versions
Transformers 4.41.2
TensorFlow 2.15.0
Datasets 2.19.2
Tokenizers 0.19.1
