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gbert-base-germaner – AI Model by philschmid | AlphaNeural AI
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philschmid
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gbert-base-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-base-germaner
This model is a fine-tuned version of
deepset/gbert-base
on the germaner dataset. It achieves the following results on the evaluation set:
precision: 0.8521
recall: 0.8754
f1: 0.8636
accuracy: 0.9761
If you want to learn how to fine-tune BERT yourself using Keras and Tensorflow check out this blog post:
https://www.philschmid.de/huggingface-transformers-keras-tf
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: 16
eval_batch_size: 32
learning_rate: 2e-05
weight_decay_rate: 0.01
num_warmup_steps: 0
fp16: True
Framework versions
Transformers 4.14.1
Datasets 1.16.1
Tokenizers 0.10.3
