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German_intent – AI Model by HarikaR | AlphaNeural AI
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HarikaR
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German_intent
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-multilingual-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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German_intent
This model is a fine-tuned version of
distilbert/distilbert-base-multilingual-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1825
Accuracy: 0.9684
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
0.2015
1.0
16968
0.1865
0.9571
0.1009
2.0
33936
0.1682
0.9680
0.0616
3.0
50904
0.1825
0.9684
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
