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AssignmentModel1 – AI Model by PrabalAryal | AlphaNeural AI
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AssignmentModel1
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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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AssignmentModel1
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: 0.2350
Train Accuracy: 0.8968
Validation Loss: 0.3026
Validation Accuracy: 0.8688
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': 3e-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
0.4013
0.7741
0.4128
0.8127
0
0.2924
0.8547
0.2911
0.8576
1
0.2350
0.8968
0.3026
0.8688
2
Framework versions
Transformers 4.51.3
TensorFlow 2.18.0
Datasets 3.6.0
Tokenizers 0.21.1
