ner-education-hcmut
This model is a fine-tuned version of NlpHUST/ner-vietnamese-electra-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0985
- Location: {'precision': 0.75, 'recall': 0.5, 'f1': 0.6, 'number': 6}
- Miscellaneous: {'precision': 0.6069651741293532, 'recall': 0.7176470588235294, 'f1': 0.6576819407008085, 'number': 170}
- Organization: {'precision': 0.4166666666666667, 'recall': 0.5769230769230769, 'f1': 0.48387096774193544, 'number': 26}
- Person: {'precision': 0.75, 'recall': 0.6, 'f1': 0.6666666666666665, 'number': 10}
- Overall Precision: 0.5863
- Overall Recall: 0.6887
- Overall F1: 0.6334
- Overall Accuracy: 0.9702
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: 8
- 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
| Training Loss | Epoch | Step | Validation Loss | Location | Miscellaneous | Organization | Person | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
|---|---|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 269 | 0.1088 | {'precision': 0.75, 'recall': 0.5, 'f1': 0.6, 'number': 6} | {'precision': 0.46311475409836067, 'recall': 0.6647058823529411, 'f1': 0.5458937198067633, 'number': 170} | {'precision': 0.3333333333333333, 'recall': 0.46153846153846156, 'f1': 0.3870967741935484, 'number': 26} | {'precision': 0.6666666666666666, 'recall': 0.6, 'f1': 0.631578947368421, 'number': 10} | 0.4573 | 0.6321 | 0.5307 | 0.9631 |
| 0.1453 | 2.0 | 538 | 0.0948 | {'precision': 1.0, 'recall': 0.5, 'f1': 0.6666666666666666, 'number': 6} | {'precision': 0.5525114155251142, 'recall': 0.711764705882353, 'f1': 0.622107969151671, 'number': 170} | {'precision': 0.42424242424242425, 'recall': 0.5384615384615384, 'f1': 0.47457627118644075, 'number': 26} | {'precision': 0.75, 'recall': 0.6, 'f1': 0.6666666666666665, 'number': 10} | 0.5475 | 0.6792 | 0.6063 | 0.9654 |
| 0.1453 | 3.0 | 807 | 0.0985 | {'precision': 0.75, 'recall': 0.5, 'f1': 0.6, 'number': 6} | {'precision': 0.6069651741293532, 'recall': 0.7176470588235294, 'f1': 0.6576819407008085, 'number': 170} | {'precision': 0.4166666666666667, 'recall': 0.5769230769230769, 'f1': 0.48387096774193544, 'number': 26} | {'precision': 0.75, 'recall': 0.6, 'f1': 0.6666666666666665, 'number': 10} | 0.5863 | 0.6887 | 0.6334 | 0.9702 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for trickstar0/ner-education-hcmut
Base model
NlpHUST/ner-vietnamese-electra-base