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finaldpo-mscoco-sft – AI Model by pratikjalan | AlphaNeural AI
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finaldpo-mscoco-sft
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transformers
safetensors
llava
image-text-to-text
llama-factory
full
generated_from_trainer
conversational
llava-hf/llava-1.5-7b-hf
finetune
other
endpoints_compatible
us
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mscoco_sft
This model is a fine-tuned version of
llava-hf/llava-1.5-7b-hf
on the mscoco_sft_first_caption_30k 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: 2e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 16
total_train_batch_size: 32
total_eval_batch_size: 16
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: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 2.0
Training results
Framework versions
Transformers 5.1.0
Pytorch 2.7.1+cu118
Datasets 4.0.0
Tokenizers 0.22.2
