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jplu-wikiann
BillelBenoudjit/jplu-wikiann
jplu-wikiann is a machine learning model from BillelBenoudjit. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Jan 24, 2022
Repo size
445 MB
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At a glance
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jan 24, 2022
- SHA
- ace515ec
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Languages
- fr
- Created
- Mar 2, 2022
- Updated
- Jan 24, 2022