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bert-uncased-massive-intent-classification_banking-1 – AI Model by fathyshalab | AlphaNeural AI
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bert-uncased-massive-intent-classification_banking-1
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transformers
pytorch
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-uncased-massive-intent-classification_banking-1
This model is a fine-tuned version of
gokuls/bert-uncased-massive-intent-classification
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.6770
Accuracy: 0.1378
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:
learning_rate: 2e-05
train_batch_size: 6
eval_batch_size: 6
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.8977
1.0
3
2.7353
0.0622
2.5889
2.0
6
2.7109
0.0933
2.4362
3.0
9
2.6940
0.1111
2.3175
4.0
12
2.6817
0.1333
2.2524
5.0
15
2.6770
0.1378
Framework versions
Transformers 4.24.0
Pytorch 1.12.1
Datasets 2.3.2
Tokenizers 0.12.1
