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mlm-tn – AI Model by betteib | AlphaNeural AI
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betteib
/
mlm-tn
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transformers
tf
roberta
fill-mask
generated_from_keras_callback
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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betteib/mlm-tn
This model is a fine-tuned version of
FacebookAI/roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 8.1287
Train Accuracy: 0.0048
Validation Loss: 8.1409
Validation Accuracy: 0.0046
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': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 0.0001, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0001, 'decay_steps': 118, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '
passive_serialization
': True}, 'warmup_steps': 6, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001}
training_precision: float32
Training results
Train Loss
Train Accuracy
Validation Loss
Validation Accuracy
Epoch
8.6997
0.0047
8.1614
0.0045
0
8.1287
0.0048
8.1409
0.0046
1
Framework versions
Transformers 4.31.0
TensorFlow 2.12.0
Datasets 2.19.1
Tokenizers 0.13.3
