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results – AI Model by CedRuiz | AlphaNeural AI
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results
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transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-german-cased
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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Model card
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results
This model is a fine-tuned version of
bert-base-german-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.4077
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
34
3.7753
No log
2.0
68
3.5672
No log
3.0
102
3.4817
No log
4.0
136
3.4212
No log
5.0
170
3.4077
Framework versions
Transformers 4.46.3
Pytorch 2.2.2
Datasets 3.1.0
Tokenizers 0.20.3
