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1a5e2b8e
Osquery/1a5e2b8e
1a5e2b8e is a token classification model from Osquery. 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
- xlm-roberta
- Access
- Public
- Created
- Dec 16, 2023
- Updated
- Dec 17, 2023
- SHA
- f258b142
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Base models
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. -->
1a5e2b8e
This model is a fine-tuned version of xlm-roberta-base on the udpos28 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3219
- Precision: 0.8943
- Recall: 0.8577
- F1: 0.8681
- Accuracy: 0.9471
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0423 | 7.58 | 1000 | 0.3219 | 0.8943 | 0.8577 | 0.8681 | 0.9471 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Token Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Dec 16, 2023
- Updated
- Dec 17, 2023