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distilbert-base-uncased-finetuned-5tagOnly-ner
emilyblah/distilbert-base-uncased-finetuned-5tagOnly-ner
distilbert-base-uncased-finetuned-5tagOnly-ner is a token classification model from emilyblah. 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 6, 2023
- Updated
- Dec 6, 2023
- SHA
- 64fb698c
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Base models
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-finetuned-5tagOnly-ner
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1018
- Precision: 0.8472
- Recall: 0.8206
- F1: 0.8337
- Accuracy: 0.9735
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: 3e-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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1061 | 1.0 | 33480 | 0.1048 | 0.8393 | 0.7564 | 0.7957 | 0.9686 |
| 0.0673 | 2.0 | 66960 | 0.0971 | 0.8330 | 0.8118 | 0.8223 | 0.9716 |
| 0.0519 | 3.0 | 100440 | 0.1018 | 0.8472 | 0.8206 | 0.8337 | 0.9735 |
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
- distilbert
- License
- apache-2.0
- Created
- Dec 6, 2023
- Updated
- Dec 6, 2023