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roberta-javanese
akahana/roberta-javanese
roberta-javanese is a fill-mask model from akahana. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Jul 11, 2024
- Updated
- Jul 18, 2024
- SHA
- 226b1058
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Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
roberta-javanese
This model is a fine-tuned version of on the akahana/GlotCC-V1-jav-Latn default dataset. It achieves the following results on the evaluation set:
- Loss: 2.9194
- Accuracy: 0.5302
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: 16
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 35.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- Jul 11, 2024
- Updated
- Jul 18, 2024