distilbert-base-uncased-finetuned-squad2-ep4-batch16

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

• Loss: 1.5125

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
1.2658	1.0	4118	1.2433
1.0043	2.0	8236	1.2286
0.8315	3.0	12354	1.3488
0.7225	4.0	16472	1.5125

Framework versions

• Transformers 4.41.2
• Pytorch 1.13.1+cu116
• Datasets 2.19.2
• Tokenizers 0.19.1