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distilbert-base-cased-squad_v1 – AI Model by joelwigton | AlphaNeural AI
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joelwigton
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distilbert-base-cased-squad_v1
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transformers
tf
distilbert
question-answering
generated_from_keras_callback
distilbert/distilbert-base-cased
finetune
apache-2.0
endpoints_compatible
us
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joelwigton/distilbert-base-cased-squad_v1
This model is a fine-tuned version of
distilbert/distilbert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.2820
Epoch: 4
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': 5e-05, 'decay_steps': 31105, 'end_learning_rate': 1e-05, 'power': 2, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: mixed_float16
Training results
Train Loss
Epoch
1.4466
0
0.8483
1
0.5587
2
0.3843
3
0.2820
4
Framework versions
Transformers 4.37.0
TensorFlow 2.15.0
Datasets 2.15.0
Tokenizers 0.15.1
