fine_tuned_squad

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: 0.2907
• Accuracy: 0.9318

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
0.8398	0.0249	100	0.3339	0.8798
0.4079	0.0497	200	0.2150	0.9217
0.4416	0.0746	300	1.1200	0.8473
0.3257	0.0994	400	0.1936	0.9413
0.3197	0.1243	500	0.2272	0.9488
0.2667	0.1491	600	0.2980	0.9295
0.2523	0.1740	700	0.2907	0.9318

Framework versions

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