kasohrab/theworld-spatial-channel-2

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theworld-spatial-channel-2

This model is a fine-tuned version of google/gemma-3-4b-it 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: 0.0001
• —trainbatchsize: 2
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 2
• —totaltrainbatch_size: 4
• —totalevalbatch_size: 16
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 50
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.56.2
• —Pytorch 2.6.0+cu124
• —Datasets 4.1.1
• —Tokenizers 0.22.1