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raymond-qwen3-4b-lora – AI Model by RuimengLiu | AlphaNeural AI
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RuimengLiu
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raymond-qwen3-4b-lora
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peft
safetensors
adapter
llama-factory
lora
transformers
text-generation
conversational
Qwen/Qwen3-4B-Instruct-2507
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train_model_2
This model is a fine-tuned version of
Qwen/Qwen3-4B-Instruct-2507
on the raymond_data 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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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
num_epochs: 20.0
Training results
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.9.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
