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lf__gemma-3-4b-it__full__physics_dc_sft – AI Model by AsherYang | AlphaNeural AI
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lf__gemma-3-4b-it__full__physics_dc_sft
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transformers
safetensors
gemma3
image-text-to-text
llama-factory
full
generated_from_trainer
conversational
google/gemma-3-4b-it
finetune
other
text-generation-inference
endpoints_compatible
us
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physics_dc_sft
This model is a fine-tuned version of
google/gemma-3-4b-it
on the physics_dc_train dataset. It achieves the following results on the evaluation set:
Loss: 0.6502
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: 1e-05
train_batch_size: 2
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 64
total_eval_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 4.0
Training results
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
