KKHYA/llavaqwen3-1.7b-finetune-dense-mlp-sparse-sd3h_20260809_183934

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llavaqwen3-1.7b-finetune-dense-mlp-sparse-sd3h20260809183934

This model is a fine-tuned version of KKHYA/llavaqwen3-1.7b-finetune on an unknown dataset.

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: 2e-05
• —trainbatchsize: 8
• —evalbatchsize: 4
• —seed: 3
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 128
• —totalevalbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.03
• —num_epochs: 1.0

Training results

Framework versions

• —Transformers 4.51.0
• —Pytorch 2.5.1+cu121
• —Tokenizers 0.21.4