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llava-1.5-7b-geobench-lora – AI Model by asxihn | AlphaNeural AI
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llava-1.5-7b-geobench-lora
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
llava-hf/llava-1.5-7b-hf
adapter
llama2
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llava-1.5-7b-geobench-lora
This model is a fine-tuned version of
llava-hf/llava-1.5-7b-hf
on the None dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
The following
bitsandbytes
quantization config was used during training:
quant_method: bitsandbytes
_load_in_8bit: False
_load_in_4bit: True
llm_int8_threshold: 6.0
llm_int8_skip_modules: None
llm_int8_enable_fp32_cpu_offload: False
llm_int8_has_fp16_weight: False
bnb_4bit_quant_type: fp4
bnb_4bit_use_double_quant: False
bnb_4bit_compute_dtype: float32
bnb_4bit_quant_storage: uint8
load_in_4bit: True
load_in_8bit: False
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1.4e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use 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: 10
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.4.0
Transformers 4.57.1
Pytorch 2.6.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1
