Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
diversity_base_adapter – AI Model by wonwonn | AlphaNeural AI
You can deploy this model and start earning money today!
wonwonn
/
diversity_base_adapter
like
0
peft
safetensors
adapter
llama-factory
lora
transformers
text-generation
conversational
Qwen/Qwen2.5-VL-7B-Instruct
other
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Qwen2.5-VL-7B-diversifier
This model is a fine-tuned version of
Qwen/Qwen2.5-VL-7B-Instruct
on the pc-agent-e-diversifier 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-06
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 8
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: 0.05
num_epochs: 2
Training results
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.11.0+cu130
Datasets 4.0.0
Tokenizers 0.22.2
