tinygpt2-javanese / README.md
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metadata
tags:
  - generated_from_trainer
datasets:
  - akahana/GlotCC-V1-jav-Latn
metrics:
  - accuracy
model-index:
  - name: tinygpt2-javanese
    results:
      - task:
          name: Causal Language Modeling
          type: text-generation
        dataset:
          name: akahana/GlotCC-V1-jav-Latn default
          type: akahana/GlotCC-V1-jav-Latn
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.25270675362470885

tinygpt2-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: 5.0050
  • Accuracy: 0.2527

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: 20.0
  • 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