distilbert-base-uncased-finetuned-squad2

This model is a fine-tuned version of distilbert-base-uncased on squad_v2 dataset. It achieves the following results on the evaluation set:

• Loss: 1.4150

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: 16
• eval_batch_size: 16
• 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
1.201	1.0	8235	1.2481
0.9086	2.0	16470	1.2382
0.7506	3.0	24705	1.4150

Framework versions

• Transformers 4.55.4
• Pytorch 2.7.0+gitf717b2a
• Datasets 3.6.0
• Tokenizers 0.21.4