OfficerChul/InfiGUI-G1-3B-Android-Control-5a
14
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sft
This model is a fine-tuned version of InfiX-ai/InfiGUI-G1-3B on the andctrlskt dataset. It achieves the following results on the evaluation set:
- Loss: 0.1624
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: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradientaccumulationsteps: 48
- totaltrainbatch_size: 768
- totalevalbatch_size: 4
- optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: cosine
- lrschedulerwarmup_ratio: 0.1
- num_epochs: 5.0
Training results
Framework versions
- Transformers 4.56.1
- Pytorch 2.5.0a0+b465a5843b.nv24.09
- Datasets 3.0.1
- Tokenizers 0.22.1