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
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Model tree for RaiRachit/xlm-roberta-base-finetuned-panx-Indo
Base model
FacebookAI/xlm-roberta-baseDataset used to train RaiRachit/xlm-roberta-base-finetuned-panx-Indo
Evaluation results
- F1 on id_nergrit_corpusvalidation set self-reported0.837