distilbert-base-uncased-finetuned-squad2

ed4000/distilbert-base-uncased-finetuned-squad2

distilbert-base-uncased-finetuned-squad2 is a question answering model from ed4000. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Question Answering
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Feb 18, 2025
Updated: Feb 18, 2025
SHA: 8bac76d1

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Base models

Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-squad2

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: 1.1541

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
1.2266	1.0	5533	1.1616
0.784	2.0	11066	1.1212
0.7698	3.0	16599	1.1541

Framework versions

Transformers 4.45.2
Pytorch 2.5.1
Datasets 2.19.1
Tokenizers 0.20.1

Task: Question Answering
Library: transformers
Type: distilbert
License: apache-2.0
Created: Feb 18, 2025
Updated: Feb 18, 2025