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pcagent_boost-all – AI Model by wonwonn | AlphaNeural AI
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pcagent_boost-all
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Qwen2.5-VL-7B-sft-pcagnet-boost-all
This model is a fine-tuned version of
Qwen/Qwen2.5-VL-7B-Instruct
on the rule_filter_boost_all 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-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 2
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: 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+cu128
Datasets 4.0.0
Tokenizers 0.22.2
