distilbert-base-uncased_mod_squad

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

• Loss: 1.1690

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: 3e-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
1.196	1.0	5475	1.1325
0.8949	2.0	10950	1.0876
0.6278	3.0	16425	1.1690

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3