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theworld-spatial-channel-2 – AI Model by kasohrab | AlphaNeural AI
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theworld-spatial-channel-2
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transformers
tensorboard
safetensors
the_world
image-text-to-text
generated_from_trainer
google/gemma-3-4b-it
finetune
gemma
endpoints_compatible
us
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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
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 4
total_eval_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_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
