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This model is a fine-tuned version of cahya/bert-base-indonesian-1.5G on the indonlu dataset. It achieves the following results on the evaluation set: - Loss: 0.3390 - Accuracy: 0.9373 The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10

Text analysis
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Visual QA
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This is a fully **int8 weight-only quantized** version of black-forest-labs/FLUX.2-klein-4B using optimum-quanto. > **Note**: FLUX.2-klein support requires the `flux2-klein` branch of diffusers until it's merged into the main release.

Image generation
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mt5-base-ainu

aynumosir

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