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qwen2.5-omni-3b-lora-sft – AI Model by FINGU-AI | AlphaNeural AI
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FINGU-AI
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qwen2.5-omni-3b-lora-sft
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peft
tensorboard
safetensors
llama-factory
lora
generated_from_trainer
Qwen/Qwen2.5-Omni-3B
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sft
This model is a fine-tuned version of
Qwen/Qwen2.5-Omni-3B
on the fingu 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: 0.0001
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use 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
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.15.1
Transformers 4.52.0.dev0
Pytorch 2.2.0a0+81ea7a4
Datasets 2.17.1
Tokenizers 0.21.1
