Qwen2.5-Coder-7B-Instruct-light-finetuned-v1

This model is a fine-tuned version of Qwen/Qwen2.5-Coder-7B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.1487

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: 8
• eval_batch_size: 8
• 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: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.1558	1.0	14160	2.2381
2.0905	2.0	28320	2.1691
2.1028	3.0	42480	2.1487

Framework versions

• PEFT 0.17.0
• Transformers 4.55.1
• Pytorch 2.6.0+cu124
• Datasets 4.0.0
• Tokenizers 0.21.4