QA_model

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0017

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
0.0855	1.0	1202	0.0812
0.0312	2.0	2404	0.0017
0.0005	3.0	3606	0.0017

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.2+cpu
• Datasets 2.16.1
• Tokenizers 0.15.1