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distilbert-base-uncased_ner_wnut_17
Gladiator/distilbert-base-uncased_ner_wnut_17
distilbert-base-uncased_ner_wnut_17 is a token classification model from Gladiator. 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
- Dec 8, 2022
- Updated
- Dec 8, 2022
- SHA
- 46a188dc
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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. -->
distilbert-base-uncased_ner_wnut_17
This model is a fine-tuned version of distilbert-base-uncased on the wnut_17 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2400
- Precision: 0.6701
- Recall: 0.5467
- F1: 0.6021
- Accuracy: 0.9559
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: cosine
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 213 | 0.2367 | 0.6879 | 0.4270 | 0.5269 | 0.9455 |
| No log | 2.0 | 426 | 0.2272 | 0.6913 | 0.4928 | 0.5754 | 0.9533 |
| 0.173 | 3.0 | 639 | 0.2393 | 0.6788 | 0.5132 | 0.5845 | 0.9553 |
| 0.173 | 4.0 | 852 | 0.2338 | 0.6541 | 0.5610 | 0.6040 | 0.9557 |
| 0.0489 | 5.0 | 1065 | 0.2400 | 0.6701 | 0.5467 | 0.6021 | 0.9559 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Dec 8, 2022
- Updated
- Dec 8, 2022