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Flamenco43 / NanoBERT-V2-cner
Model's Last Updated: November 23 2024
Introduction of NanoBERT-V2-cner
Model Details of NanoBERT-V2-cner
nanobert-v2-cner
This model is a fine-tuned version of Flamenco43/NanoBERT-customvocab-final on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0198
- Precision: 0.9178
- Recall: 0.9056
- F1: 0.9116
- Accuracy: 0.9944
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 |
|---|---|---|---|---|---|---|---|
| 0.0263 | 1.0 | 2000 | 0.0214 | 0.8942 | 0.8712 | 0.8825 | 0.9926 |
| 0.0148 | 2.0 | 4000 | 0.0199 | 0.9058 | 0.9020 | 0.9039 | 0.9938 |
| 0.0081 | 3.0 | 6000 | 0.0198 | 0.9178 | 0.9056 | 0.9116 | 0.9944 |
| 0.0037 | 4.0 | 8000 | 0.0218 | 0.9087 | 0.9264 | 0.9175 | 0.9947 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
Runs of Flamenco43 NanoBERT-V2-cner on huggingface.co
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More Information About NanoBERT-V2-cner huggingface.co Model
Url of NanoBERT-V2-cner
NanoBERT-V2-cner huggingface.co Url
Provider of NanoBERT-V2-cner huggingface.co
Other API from Flamenco43
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