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Flamenco43 / battery-ner-bert-base-uncased-final
Model's Last Updated: August 21 2024
Introduction of battery-ner-bert-base-uncased-final
Model Details of battery-ner-bert-base-uncased-final
battery-ner-bert-base-uncased-final
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0228
- Precision: 0.8998
- Recall: 0.8972
- F1: 0.8985
- Accuracy: 0.9930
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|---|---|
| 0.0286 | 1.0 | 2000 | 0.0287 | 0.8171 | 0.8993 | 0.8563 | 0.9901 |
| 0.0162 | 2.0 | 4000 | 0.0228 | 0.8998 | 0.8972 | 0.8985 | 0.9930 |
| 0.0092 | 3.0 | 6000 | 0.0229 | 0.9028 | 0.9061 | 0.9045 | 0.9937 |
| 0.0042 | 4.0 | 8000 | 0.0252 | 0.8990 | 0.9185 | 0.9087 | 0.9938 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
Runs of Flamenco43 battery-ner-bert-base-uncased-final on huggingface.co
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More Information About battery-ner-bert-base-uncased-final huggingface.co Model
Url of battery-ner-bert-base-uncased-final
battery-ner-bert-base-uncased-final huggingface.co Url
Provider of battery-ner-bert-base-uncased-final huggingface.co
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