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bloxnet-sft2 – AI Model by kkondap | AlphaNeural AI
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kkondap
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bloxnet-sft2
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-3.2-11B-Vision-Instruct
adapter
llama3.2
us
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bloxnet-sft2
This model is a fine-tuned version of
meta-llama/Llama-3.2-11B-Vision-Instruct
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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
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: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
Training results
Framework versions
PEFT 0.13.0
Transformers 4.46.3
Pytorch 2.5.1+cu124
Datasets 3.0.1
Tokenizers 0.20.3
