distilbert-base-uncased-finetuned-squad

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: 3.2692

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: 1e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	64	4.0862
No log	2.0	128	3.5410
No log	3.0	192	3.3521
No log	4.0	256	3.2809
No log	5.0	320	3.2692

Framework versions

• Transformers 4.18.0
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.12.1