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llava-fast-ft – AI Model by sohith18 | AlphaNeural AI
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sohith18
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llava-fast-ft
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peft
tensorboard
safetensors
trl
sft
unsloth
generated_from_trainer
unsloth/llava-1.5-7b-hf-bnb-4bit
adapter
llama2
us
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llava-fast-ft
This model is a fine-tuned version of
unsloth/llava-1.5-7b-hf-bnb-4bit
on the None 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: 1.4e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
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
num_epochs: 1
mixed_precision_training: Native AMP
Framework versions
PEFT 0.14.0
Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.5.0
Tokenizers 0.21.0
