|
--- |
|
license: mit |
|
base_model: xlm-roberta-base |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- id_nergrit_corpus |
|
metrics: |
|
- f1 |
|
model-index: |
|
- name: xlm-roberta-base-finetuned-panx-Indo |
|
results: |
|
- task: |
|
name: Token Classification |
|
type: token-classification |
|
dataset: |
|
name: id_nergrit_corpus |
|
type: id_nergrit_corpus |
|
config: ner |
|
split: validation |
|
args: ner |
|
metrics: |
|
- name: F1 |
|
type: f1 |
|
value: 0.83694517516389 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# xlm-roberta-base-finetuned-panx-Indo |
|
|
|
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the id_nergrit_corpus dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1919 |
|
- F1: 0.8369 |
|
|
|
## 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: 24 |
|
- eval_batch_size: 24 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 3 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 0.3999 | 1.0 | 523 | 0.2013 | 0.8147 | |
|
| 0.1624 | 2.0 | 1046 | 0.1942 | 0.8249 | |
|
| 0.1097 | 3.0 | 1569 | 0.1919 | 0.8369 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.2 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
