Qwen2.5-0.5B-Instruct-finetune

This model is a fine-tuned version of unsloth/Qwen2.5-0.5B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4704
• Spearman: 0.0908

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Spearman
0.6624	0.4916	1000	0.4717	0.0806
0.52	0.9833	2000	0.4704	0.0908

Framework versions

• Transformers 4.56.2
• Pytorch 2.8.0+cu128
• Datasets 3.6.0
• Tokenizers 0.22.1