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custom_ner_bert-uncased
MoinKhan3012/custom_ner_bert-uncased
custom_ner_bert-uncased is a token classification model from MoinKhan3012. 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
- bert
- Access
- Public
- Created
- May 5, 2024
- Updated
- May 5, 2024
- SHA
- 47e7e72b
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. -->
fine_tune_bert_masking
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4384
- Overall Precision: 0.5833
- Overall Recall: 0.4691
- Overall F1: 0.52
- Overall Accuracy: 0.9323
- App F1: 0.52
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | App F1 |
|---|---|---|---|---|---|---|---|---|
| 0.2048 | 3.45 | 100 | 0.2554 | 0.5442 | 0.4124 | 0.4692 | 0.9210 | 0.4692 |
| 0.0658 | 6.9 | 200 | 0.3147 | 0.6119 | 0.4227 | 0.5 | 0.9314 | 0.5 |
| 0.0279 | 10.34 | 300 | 0.3509 | 0.5357 | 0.4639 | 0.4972 | 0.9281 | 0.4972 |
| 0.0146 | 13.79 | 400 | 0.4032 | 0.5759 | 0.4691 | 0.5170 | 0.9314 | 0.5170 |
| 0.0093 | 17.24 | 500 | 0.4384 | 0.5833 | 0.4691 | 0.52 | 0.9323 | 0.52 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 5, 2024
- Updated
- May 5, 2024