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qwen2p5-orange-lora1.0 – AI Model by KitLKY | AlphaNeural AI
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KitLKY
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qwen2p5-orange-lora1.0
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peft
safetensors
llama-factory
lora
generated_from_trainer
Qwen/Qwen2.5-3B
adapter
other
us
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Model card
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train_2025-10-06-13-31-14
This model is a fine-tuned version of
Qwen/Qwen2.5-3B
on the orange dataset. It achieves the following results on the evaluation set:
Loss: 0.2978
Num Input Tokens Seen: 94608
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: 3e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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: 0.03
num_epochs: 8.0
Training results
Framework versions
PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.8.0+cpu
Datasets 3.6.0
Tokenizers 0.21.1
