Qwen2.5-0.5B-BMW-compl

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B on a private dataset generated from publicly available documents written by the BMW Group. These documents contain information on working conditions, corporate governance, business relations compliance.

Intended uses & limitations

Same as the base model Qwen/Qwen2.5-0.5B, but with more knowledge on the BMW Group code of conduct and compliance regulations.

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
No log	1.0	25	2.5636
No log	2.0	50	2.5658
No log	3.0	75	2.7538

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu124
• Datasets 3.2.0
• Tokenizers 0.21.0