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mobilebert-uncased-finetuned-squad-v2 – AI Model by onybrunella | AlphaNeural AI
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onybrunella
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mobilebert-uncased-finetuned-squad-v2
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transformers
tf
tensorboard
safetensors
mobilebert
question-answering
generated_from_keras_callback
google/mobilebert-uncased
finetune
apache-2.0
endpoints_compatible
us
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onybrunella/mobilebert-uncased-finetuned-squad-v2
This model is a fine-tuned version of
google/mobilebert-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 4650.7085
Train End Logits Accuracy: 0.2902
Train Start Logits Accuracy: 0.2428
Validation Loss: 3.1353
Validation End Logits Accuracy: 0.5043
Validation Start Logits Accuracy: 0.4971
Epoch: 0
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 8234, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Train End Logits Accuracy
Train Start Logits Accuracy
Validation Loss
Validation End Logits Accuracy
Validation Start Logits Accuracy
Epoch
4650.7085
0.2902
0.2428
3.1353
0.5043
0.4971
0
Framework versions
Transformers 4.38.2
TensorFlow 2.15.0
Datasets 2.18.0
Tokenizers 0.15.2
