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jplu-wikiann – AI Model by BillelBenoudjit | AlphaNeural AI
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jplu-wikiann
This model is a fine-tuned version of
jplu/tf-camembert-base
on the wikiann dataset. It achieves the following results on the evaluation set:
precision: 0.8980
recall: 0.9097
f1: 0.9038
accuracy: 0.9464
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 4.15.0
Pytorch 1.10.0+cu111
Datasets 1.18.0
Tokenizers 0.10.3
