distilbert-base-uncased-qa

badokorach/distilbert-base-uncased-qa

distilbert-base-uncased-qa is a question answering model from badokorach. 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: Sep 27, 2023
Updated: Sep 27, 2023
SHA: 5e2c1f13

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Base models

Model card

From the Hugging Face model README

distilbert-base-uncased-qa

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: 3.4871

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: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	66	3.2096
No log	2.0	132	2.8592
No log	3.0	198	2.8928
No log	4.0	264	2.6908
No log	5.0	330	2.5923
No log	6.0	396	2.7418
No log	7.0	462	2.9204
2.1971	8.0	528	3.0142
2.1971	9.0	594	3.1064
2.1971	10.0	660	3.2017
2.1971	11.0	726	3.4628
2.1971	12.0	792	3.3789
2.1971	13.0	858	3.3585
2.1971	14.0	924	3.4515
2.1971	15.0	990	3.4871

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Task: Question Answering
Library: transformers
Type: distilbert
License: apache-2.0
Created: Sep 27, 2023
Updated: Sep 27, 2023