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qwen_scicap_lora – AI Model by shemalfoy | AlphaNeural AI
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shemalfoy
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qwen_scicap_lora
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peft
safetensors
adapter
lora
transformers
text-generation
Qwen/Qwen2.5-VL-7B-Instruct
apache-2.0
us
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qwen_scicap_lora
This model is a fine-tuned version of
Qwen/Qwen2.5-VL-7B-Instruct
on the None 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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
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: linear
num_epochs: 1
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
