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finance-ner-v0.0.2-finetuned-ner
This model is a fine-tuned version of dslim/bert-base-NER on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0004
- Precision: 0.9945
- Recall: 1.0
- F1: 0.9972
- Accuracy: 0.9999
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
0.0002 | 1.0 | 551 | 0.0011 | 0.9850 | 0.9940 | 0.9895 | 0.9997 |
0.0 | 2.0 | 1102 | 0.0006 | 0.9900 | 0.9991 | 0.9945 | 0.9999 |
0.0 | 3.0 | 1653 | 0.0005 | 0.9953 | 0.9991 | 0.9972 | 0.9999 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3