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my-llama-tuned – AI Model by RickyRubini | AlphaNeural AI
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my-llama-tuned
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peft
safetensors
llama-factory
lora
generated_from_trainer
llava-hf/llava-v1.6-mistral-7b-hf
adapter
other
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Model card
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train_2025-04-21-17-35-28
This model is a fine-tuned version of
llava-hf/llava-v1.6-mistral-7b-hf
on the docker_command_dataset 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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_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: cosine
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.12.0
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.0
