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zmj-chat-lora – AI Model by dream110700 | AlphaNeural AI
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zmj-chat-lora
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peft
safetensors
llama-factory
lora
generated_from_trainer
Qwen/Qwen2.5-7B-Instruct
adapter
other
us
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train_2025-11-26-zmj
This model is a fine-tuned version of
Qwen/Qwen2.5-7B-Instruct
on the chat_zmj 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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
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
num_epochs: 10.0
Training results
Framework versions
PEFT 0.15.2
Transformers 4.55.0
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.1
