thinhM5125024/llava-next-flickr30k-qlora-ckpt

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llava-next-flickr30k-qlora-ckpt

This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on the flickr30k_train dataset. It achieves the following results on the evaluation set:

• —Loss: 1.4692

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: 0.0001
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 2
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 32
• —totalevalbatch_size: 2
• —optimizer: Use OptimizerNames.ADAMW8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 0.05
• —num_epochs: 3.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.18.1
• —Transformers 5.0.0
• —Pytorch 2.10.0+cu128
• —Datasets 4.0.0
• —Tokenizers 0.22.2