KKHYA/llavaqwen3-1.7b-finetune-moe-4e-2k-randrouter-sd3_20260811_225401
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llavaqwen3-1.7b-finetune-moe-4e-2k-randrouter-sd320260811225401
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: 4
- evalbatchsize: 4
- seed: 3
- distributed_type: multi-GPU
- num_devices: 8
- gradientaccumulationsteps: 4
- 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