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SpeciaRL_qwen2_5vl-7b_sft – AI Model by s-angheben | AlphaNeural AI
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SpeciaRL_qwen2_5vl-7b_sft
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peft
safetensors
adapter
llama-factory
lora
transformers
text-generation
conversational
2603.03197
Qwen/Qwen2.5-VL-7B-Instruct
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SpeciaRL_sft
This repository provides the LoRA adapter for the sft fine-tuned model introduced in
SpeciaRL
. Built on top of
Qwen/Qwen2.5-VL-7B-Instruct
.
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0001
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Use OptimizerNames.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: 0.1
num_epochs: 3.0
Framework versions
PEFT 0.17.1
Transformers 4.57.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.22.1
