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AssignmentModel – AI Model by PrabalAryal | AlphaNeural AI | AlphaNeural AI
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PrabalAryal
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AssignmentModel
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transformers
tf
bert
text-classification
generated_from_keras_callback
google-bert/bert-base-multilingual-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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AssignmentModel
This model is a fine-tuned version of
bert-base-multilingual-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.5582
Train Accuracy: 0.6870
Validation Loss: 0.5851
Validation Accuracy: 0.6535
Epoch: 2
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': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0}
training_precision: float32
Training results
Train Loss
Train Accuracy
Validation Loss
Validation Accuracy
Epoch
0.4705
0.7271
0.4490
0.7655
0
0.3820
0.8141
0.3587
0.8198
1
0.5582
0.6870
0.5851
0.6535
2
Framework versions
Transformers 4.51.3
TensorFlow 2.18.0
Datasets 3.6.0
Tokenizers 0.21.1
