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drbert-7gb-finedtuned-ner
ytonthat/drbert-7gb-finedtuned-ner
drbert-7gb-finedtuned-ner is a token classification model from ytonthat. 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
- camembert
- Access
- Public
- Created
- Mar 1, 2024
- Updated
- Mar 1, 2024
- SHA
- 42cdb4b0
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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. -->
drbert-7gb-finedtuned-ner
This model is a fine-tuned version of Dr-BERT/DrBERT-7GB on the quaero dataset. It achieves the following results on the evaluation set:
- Loss: 1.2330
- Precision: 0.5055
- Recall: 0.5696
- F1: 0.5357
- Accuracy: 0.8004
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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 105 | 0.7430 | 0.4129 | 0.4775 | 0.4428 | 0.7671 |
| No log | 2.0 | 210 | 0.6968 | 0.4888 | 0.5042 | 0.4964 | 0.7888 |
| No log | 3.0 | 315 | 0.8218 | 0.5059 | 0.5323 | 0.5188 | 0.7952 |
| No log | 4.0 | 420 | 0.9307 | 0.4869 | 0.5563 | 0.5193 | 0.7913 |
| 0.4134 | 5.0 | 525 | 0.9970 | 0.4688 | 0.5581 | 0.5095 | 0.7870 |
| 0.4134 | 6.0 | 630 | 1.0503 | 0.4992 | 0.5541 | 0.5252 | 0.7930 |
| 0.4134 | 7.0 | 735 | 1.1364 | 0.5034 | 0.5607 | 0.5305 | 0.7994 |
| 0.4134 | 8.0 | 840 | 1.1994 | 0.4865 | 0.5701 | 0.5250 | 0.7937 |
| 0.4134 | 9.0 | 945 | 1.2287 | 0.4948 | 0.5683 | 0.5290 | 0.7982 |
| 0.028 | 10.0 | 1050 | 1.2330 | 0.5055 | 0.5696 | 0.5357 | 0.8004 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Token Classification
- Library
- transformers
- Type
- camembert
- License
- apache-2.0
- Created
- Mar 1, 2024
- Updated
- Mar 1, 2024