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distilbert-base-uncased-finetuned-ner-invoiceSenderName
Lilya/distilbert-base-uncased-finetuned-ner-invoiceSenderName
distilbert-base-uncased-finetuned-ner-invoiceSenderName is a token classification model from Lilya. 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 9, 2022
- Updated
- Dec 10, 2022
- SHA
- 7eb81b55
Try a prompt
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-ner-invoiceSenderName
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: 0.0254
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.9924
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0306 | 1.0 | 1956 | 0.0273 | 0.0 | 0.0 | 0.0 | 0.9901 |
| 0.0195 | 2.0 | 3912 | 0.0240 | 0.0 | 0.0 | 0.0 | 0.9914 |
| 0.0143 | 3.0 | 5868 | 0.0251 | 0.0 | 0.0 | 0.0 | 0.9921 |
| 0.0107 | 4.0 | 7824 | 0.0254 | 0.0 | 0.0 | 0.0 | 0.9924 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1
- Datasets 2.3.2
- Tokenizers 0.10.3
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Dec 9, 2022
- Updated
- Dec 10, 2022