|
--- |
|
base_model: google-bert/bert-base-cased |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- conll2002 |
|
metrics: |
|
- precision |
|
- recall |
|
- f1 |
|
- accuracy |
|
model-index: |
|
- name: bert-finetuned-ner-1 |
|
results: |
|
- task: |
|
name: Token Classification |
|
type: token-classification |
|
dataset: |
|
name: conll2002 |
|
type: conll2002 |
|
config: es |
|
split: validation |
|
args: es |
|
metrics: |
|
- name: Precision |
|
type: precision |
|
value: 0.805356 |
|
- name: Recall |
|
type: recall |
|
value: 0.822381 |
|
- name: F1 |
|
type: f1 |
|
value: 0.813779 |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.969573 |
|
--- |
|
<!-- 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. --> |
|
|
|
# bert-finetuned-ner-1 |
|
|
|
Este es modelo resultado de un finetuning de |
|
[google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) sobre el conll2002 dataset. |
|
Los siguientes son los resultados sobre el conjunto de evaluación: |
|
- Training Loss: 0.000900 |
|
- Validation Loss: 0.306902 |
|
- Precision: 0.805356 |
|
- Recall: 0.822381 |
|
- F1: 0.813779 |
|
- Accuracy: 0.969573 |
|
|
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 2e-05 |
|
- num_epochs: 8 |
|
- weight_decay: 0.001 |
|
|
|
### Training results |
|
|
|
| Epoch | Training Loss | Validation Loss | Precision | Recall | F1 | Accuracy | |
|
|:-----:|:-------------:|:---------------:|:---------:|:-------:|:-------:|:--------:| |
|
| 1.0 | 0.0045 | 0.263534 | 0.787187 | 0.815947| 0.801309| 0.968117 | |
|
| 2.0 | 0.0054 | 0.261010 | 0.776933 | 0.798713| 0.787673| 0.966914 | |
|
| 3.0 | 0.0031 | 0.288264 | 0.787994 | 0.811351| 0.799502| 0.967351 | |
|
| 4.0 | 0.0030 | 0.261651 | 0.799186 | 0.812040| 0.805562| 0.969476 | |
|
| 5.0 | 0.0023 | 0.281675 | 0.792880 | 0.813649| 0.803130| 0.968544 | |
|
| 6.0 | 0.0014 | 0.285965 | 0.790842 | 0.817555| 0.803977| 0.969311 | |
|
| 7.0 | 0.0009 | 0.320790 | 0.795583 | 0.811121| 0.803277| 0.968049 | |
|
| 8.0 | 0.0009 | 0.306902 | 0.805356 | 0.822381| 0.813779| 0.969573 | |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
