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german_sentiment – AI Model by swapnasa | AlphaNeural AI
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swapnasa
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german_sentiment
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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_sentiment
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: 0.6632
Accuracy: 0.8189
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
0.4441
1.0
1723
0.4078
0.8132
0.3429
2.0
3446
0.4872
0.8243
0.2698
3.0
5169
0.6632
0.8189
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
