training-distilbert-base-uncased-finetuned-squad

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

• Loss: 1.2139

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: 128
• eval_batch_size: 128
• 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
2.252	1.0	692	1.3607
1.3548	2.0	1384	1.2387
1.1063	3.0	2076	1.2139

Framework versions

• Transformers 4.45.2
• Pytorch 2.2.2+cu121
• Datasets 3.0.1
• Tokenizers 0.20.1