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bert-base-cased-squad2-agic2-060124 – AI Model by badokorach | AlphaNeural AI
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badokorach
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bert-base-cased-squad2-agic2-060124
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transformers
tf
bert
question-answering
generated_from_keras_callback
badokorach/bert-base-cased-squad2-agic2-051223
finetune
cc-by-4.0
endpoints_compatible
us
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badokorach/bert-base-cased-squad2-agic2-060124
This model is a fine-tuned version of
badokorach/bert-base-cased-squad2-agic2-051223
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.1138
Validation Loss: 0.0
Epoch: 9
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': None, 'class_name': 'CustomLearningRateScheduler', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 1044, 'warmup_steps': 116, 'end_learning_rate': 1e-05}, 'registered_name': 'CustomLearningRateScheduler'}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
0.7839
0.0
0
0.6859
0.0
1
0.4749
0.0
2
0.3586
0.0
3
0.3039
0.0
4
0.2084
0.0
5
0.1471
0.0
6
0.1420
0.0
7
0.1221
0.0
8
0.1138
0.0
9
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.1
Tokenizers 0.15.0
