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bert-finetuned-190224 – AI Model by badokorach | AlphaNeural AI
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badokorach
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bert-finetuned-190224
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transformers
tf
bert
question-answering
generated_from_keras_callback
badokorach/bert-finetuned-260124
finetune
endpoints_compatible
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badokorach/bert-finetuned-190224
This model is a fine-tuned version of
badokorach/bert-finetuned-260124
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0043
Validation Loss: 0.0
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: {'inner_optimizer': {'module': 'keras.optimizers', 'class_name': 'Adam', 'config': {'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': 2736, 'warmup_steps': 304, 'end_learning_rate': 1e-05}, 'registered_name': 'CustomLearningRateScheduler'}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}, 'registered_name': None}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
1.1283
0.0
0
0.0280
0.0
1
0.0104
0.0
2
0.0077
0.0
3
0.0043
0.0
4
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.17.1
Tokenizers 0.15.2
