distilbert-base-uncased-SQUADMODELDISTILUNCASED

This model was trained from scratch on the squad dataset. It achieves the following results on the evaluation set:

• Loss: 1.4911

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.5808	1.0	6167	1.3138
0.4698	2.0	12334	1.3968
0.427	3.0	18501	1.4911

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3