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qwen-codealpaca-qlora – AI Model by arumpuri | AlphaNeural AI
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arumpuri
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qwen-codealpaca-qlora
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peft
tensorboard
safetensors
generated_from_trainer
Qwen/Qwen2.5-0.5B
adapter
apache-2.0
us
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qwen-codealpaca-qlora
This model is a fine-tuned version of
Qwen/Qwen2.5-0.5B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8639
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
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: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.7225
1.7751
500
0.8639
Framework versions
PEFT 0.15.2
Transformers 4.52.2
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
