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hun_wnut_modell
terhdavid/hun_wnut_modell
hun_wnut_modell is a token classification model from terhdavid. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Aug 25, 2023
- Updated
- Aug 25, 2023
- SHA
- c1415f27
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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. -->
hun_wnut_modell
This model is a fine-tuned version of distilbert-base-uncased on the szeged_ner dataset. It achieves the following results on the evaluation set:
- Loss: 0.0419
- Precision: 0.8590
- Recall: 0.9004
- F1: 0.8792
- Accuracy: 0.9882
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2035 | 1.0 | 511 | 0.0665 | 0.8124 | 0.8343 | 0.8232 | 0.9813 |
| 0.075 | 2.0 | 1022 | 0.0501 | 0.8280 | 0.8841 | 0.8551 | 0.9847 |
| 0.0498 | 3.0 | 1533 | 0.0444 | 0.8452 | 0.8914 | 0.8677 | 0.9866 |
| 0.0354 | 4.0 | 2044 | 0.0417 | 0.8661 | 0.8980 | 0.8818 | 0.9885 |
| 0.0275 | 5.0 | 2555 | 0.0419 | 0.8590 | 0.9004 | 0.8792 | 0.9882 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 25, 2023
- Updated
- Aug 25, 2023