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conceptredefconceptredef-5000-Qwen_Qwen2.5-7B-Instruct_lora – AI Model by dzhang019 | AlphaNeural AI
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conceptredefconceptredef-5000-Qwen_Qwen2.5-7B-Instruct_lora
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peft
safetensors
adapter
lora
transformers
text-generation
Qwen/Qwen2.5-7B-Instruct
apache-2.0
us
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conceptredefconceptredef-5000-Qwen_Qwen2.5-7B-Instruct_lora
This model is a fine-tuned version of
Qwen/Qwen2.5-7B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2747
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: 64
eval_batch_size: 64
seed: 42
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.1547
1.4286
100
0.2135
0.0677
2.8571
200
0.2196
0.0118
4.2857
300
0.2747
Framework versions
PEFT 0.18.0
Transformers 4.57.2
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
