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6_epochs_camembert
bjubert/6_epochs_camembert
6_epochs_camembert is a token classification model from bjubert. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- camembert
- Access
- Public
- Created
- Dec 13, 2022
- Updated
- Dec 13, 2022
- SHA
- 23a9b702
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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. -->
6_epochs_camembert
This model is a fine-tuned version of Jean-Baptiste/camembert-ner on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0932
- eval_overall_precision: 0.8072
- eval_overall_recall: 0.8431
- eval_overall_f1: 0.8248
- eval_overall_accuracy: 0.9778
- eval_ER_f1: 0.8520
- eval_OC_f1: 0.8029
- eval_umanProd_f1: 0.6333
- eval_runtime: 120.9649
- eval_samples_per_second: 20.246
- eval_steps_per_second: 1.273
- epoch: 6.0
- step: 3678
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cpu
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Token Classification
- Library
- transformers
- Type
- camembert
- License
- mit
- Created
- Dec 13, 2022
- Updated
- Dec 13, 2022