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Gemma3-4B-SFT-from-IT – AI Model by jed351 | AlphaNeural AI

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jed351/
Gemma3-4B-SFT-from-IT

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0

image-text-to-text

generated_from_trainer

google/gemma-3-4b-pt

text-generation-inference

endpoints_compatible

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Gemma3-4B-sft

This model is a fine-tuned version of google/gemma-3-4b-pt on the sft_v2 dataset. It achieves the following results on the evaluation set:

Loss: 0.7150

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0

Training results

Framework versions

Transformers 4.51.3
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.21.1