| 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 | |
| <!-- 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. --> | |
| # tinygpt2-javanese | |
| This model is a fine-tuned version of [](https://huggingface.co/) 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 | |