ner-minirbt-multi-dataset-20230419-2
This model is a fine-tuned version of hfl/minirbt-h288 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0433
- Precision: 0.8620
- Recall: 0.8814
- F1: 0.8716
- Accuracy: 0.9869
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: 128
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2
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