metadata

tags:
  - generated_from_trainer
datasets:
  - akahana/GlotCC-V1-jav-Latn
metrics:
  - accuracy
model-index:
  - name: roberta-javanese
    results:
      - task:
          name: Masked Language Modeling
          type: fill-mask
        dataset:
          name: akahana/GlotCC-V1-jav-Latn default
          type: akahana/GlotCC-V1-jav-Latn
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.5302221081011683

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