|
--- |
|
license: apache-2.0 |
|
base_model: bert-base-multilingual-cased |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- precision |
|
- recall |
|
- f1 |
|
- accuracy |
|
model-index: |
|
- name: uner-bert-ner |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# uner-bert-ner |
|
|
|
This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1354 |
|
- Precision: 0.8267 |
|
- Recall: 0.8707 |
|
- F1: 0.8481 |
|
- Accuracy: 0.9640 |
|
|
|
## 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: 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: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
|
| No log | 1.0 | 144 | 0.1496 | 0.7687 | 0.7971 | 0.7826 | 0.9533 | |
|
| No log | 2.0 | 288 | 0.1429 | 0.7719 | 0.8584 | 0.8129 | 0.9573 | |
|
| No log | 3.0 | 432 | 0.1267 | 0.8014 | 0.8682 | 0.8335 | 0.9629 | |
|
| 0.1628 | 4.0 | 576 | 0.1316 | 0.8206 | 0.8723 | 0.8457 | 0.9644 | |
|
| 0.1628 | 5.0 | 720 | 0.1354 | 0.8267 | 0.8707 | 0.8481 | 0.9640 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.0 |
|
- Pytorch 2.0.0 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.13.3 |
|
|
