JakeOh/llada-1.0-s1

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llada-1.0-s1

This model is a fine-tuned version of GSAI-ML/LLaDA-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2898

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: 1e-05
• —trainbatchsize: 1
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —totaltrainbatch_size: 8
• —totalevalbatch_size: 64
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 20

Training results

Framework versions

• —PEFT 0.15.1
• —Transformers 4.49.0
• —Pytorch 2.6.0+cu124
• —Datasets 3.3.2
• —Tokenizers 0.21.4