fine_tuned_wp

This model is a fine-tuned version of Qwen/Qwen2-1.5B on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0726
• Accuracy: 0.9872

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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.844	0.0285	100	0.3602	0.8626
0.4928	0.0570	200	0.3831	0.9166
0.2699	0.0856	300	0.2540	0.9682
0.2095	0.1141	400	0.0900	0.9753
0.1506	0.1426	500	0.0991	0.9801
0.1505	0.1711	600	0.0511	0.9894
0.0973	0.1997	700	0.1396	0.9750
0.1486	0.2282	800	0.0892	0.9692
0.1458	0.2567	900	0.0726	0.9872

Framework versions

• Transformers 4.49.0
• Pytorch 2.6.0+cu126
• Datasets 3.3.2
• Tokenizers 0.21.0