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qwen2_5vl-7b-medhalltune – AI Model by russellyq | AlphaNeural AI
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qwen2_5vl-7b-medhalltune
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peft
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llama-factory
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Qwen/Qwen2.5-VL-7B-Instruct
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qwen2_5vl-7b-medhalltune
This model is a fine-tuned version of
/research/d7/gds/qyan24/model_weights/Qwen2.5-VL-7B-Instruct
on the MedHallTune 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: 0.0001
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.15
num_epochs: 3.0
Training results
Framework versions
PEFT 0.15.2
Transformers 4.55.0
Pytorch 2.5.1+cu121
Datasets 3.6.0
Tokenizers 0.21.1
