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multilingual-cased-finetuned-luganda-qa_09 – AI Model by badokorach | AlphaNeural AI
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badokorach
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multilingual-cased-finetuned-luganda-qa_09
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transformers
tf
bert
question-answering
generated_from_keras_callback
badokorach/multilingual-cased-finetuned-luganda-qa
finetune
endpoints_compatible
us
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badokorach/multilingual-cased-finetuned-luganda-qa_09
This model is a fine-tuned version of
badokorach/multilingual-cased-finetuned-luganda-qa
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.3864
Epoch: 14
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 3750, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.03}
training_precision: mixed_float16
Training results
Train Loss
Epoch
3.7849
0
3.5989
1
3.3995
2
3.1593
3
2.8771
4
2.6123
5
2.3413
6
2.1320
7
1.9435
8
1.8218
9
1.6914
10
1.5828
11
1.4974
12
1.4384
13
1.3864
14
Framework versions
Transformers 4.33.2
TensorFlow 2.13.0
Datasets 2.14.5
Tokenizers 0.13.3
