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gbert-large-germaner – AI Model by Ruth | AlphaNeural AI
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Ruth
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gbert-large-germaner
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transformers
tf
tensorboard
bert
token-classification
de
germaner
mit
model-index
autotrain_compatible
endpoints_compatible
us
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gbert-large-germaner
This model is a fine-tuned version of
deepset/gbert-large
on the germaner dataset. It achieves the following results on the evaluation set:
precision: 0.8693
recall: 0.8856
f1: 0.8774
accuracy: 0.9784
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:
num_train_epochs: 5
train_batch_size: 8
eval_batch_size: 8
learning_rate: 2e-05
weight_decay_rate: 0.01
num_warmup_steps: 0
fp16: True
Framework versions
Transformers 4.18.0
Datasets 1.18.0
Tokenizers 0.12.1
