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qwen2-7b-instruct-PrizePrj – AI Model by AeonOmniverse | AlphaNeural AI
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AeonOmniverse
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qwen2-7b-instruct-PrizePrj
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
Qwen/Qwen2-VL-7B-Instruct
adapter
apache-2.0
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qwen2-7b-instruct-PrizePrj
This model is a fine-tuned version of
Qwen/Qwen2-VL-7B-Instruct
on an unknown 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: 8
total_train_batch_size: 8
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: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
Training results
Framework versions
PEFT 0.15.2
Transformers 4.52.1
Pytorch 2.5.1+cu121
Datasets 3.5.1
Tokenizers 0.21.1
