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danish-bert-base-intent-classifier – AI Model by Mukalingam0813 | AlphaNeural AI
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Mukalingam0813
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danish-bert-base-intent-classifier
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transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-multilingual-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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danish-bert-base-intent-classifier
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:
Loss: 0.1869
Accuracy: 0.9638
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2099
1.0
9799
0.1973
0.9551
0.1445
2.0
19598
0.1751
0.9611
0.1107
3.0
29397
0.1869
0.9638
Framework versions
Transformers 4.36.2
Pytorch 2.1.1+cu118
Datasets 2.16.1
Tokenizers 0.15.0
