metadata
base_model: NlpHUST/ner-vietnamese-electra-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: my_awesome_ner-token_classification_v1.0
results: []
my_awesome_ner-token_classification_v1.0
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: 0.7184
- Precision: 0.5603
- Recall: 0.6333
- F1: 0.5946
- Accuracy: 0.8261
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.478 | 1.9991 | 2313 | 0.5109 | 0.5864 | 0.5956 | 0.5910 | 0.8411 |
| 0.3927 | 3.9983 | 4626 | 0.5095 | 0.5834 | 0.6186 | 0.6005 | 0.8401 |
| 0.3111 | 5.9974 | 6939 | 0.5813 | 0.5434 | 0.6335 | 0.5850 | 0.8258 |
| 0.2339 | 7.9965 | 9252 | 0.6137 | 0.5515 | 0.6312 | 0.5887 | 0.8261 |
| 0.1983 | 9.9957 | 11565 | 0.6743 | 0.5719 | 0.6243 | 0.5969 | 0.8305 |
| 0.1565 | 11.9948 | 13878 | 0.7044 | 0.5594 | 0.6372 | 0.5958 | 0.8250 |
| 0.1657 | 13.9939 | 16191 | 0.7184 | 0.5603 | 0.6333 | 0.5946 | 0.8261 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1