README.md

metadata

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

xlm-roberta-base-finetuned-panx-Indo

This model is a fine-tuned version of 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