LR1E4-BS8-Distilbert-QA-Pytorch-FULL

tyavika/LR1E4-BS8-Distilbert-QA-Pytorch-FULL

LR1E4-BS8-Distilbert-QA-Pytorch-FULL is a question answering model from tyavika. 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. --

Downloads · 30 days

21% of all-time downloads

All-time downloads

Public

Repo size

1.3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin265 MB · 100%

At a glance

Task: Question Answering
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Jul 7, 2023
Updated: Jul 7, 2023
SHA: e9dfe43c

Try a prompt

Model card

From the Hugging Face model README

LR1E4-BS8-Distilbert-QA-Pytorch-FULL

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: 1.7269

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: 0.0001
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.4302	1.0	3290	1.2902
1.0058	2.0	6580	1.2750
0.6711	3.0	9870	1.4631
0.4224	4.0	13160	1.7269

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Question Answering
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jul 7, 2023
Updated: Jul 7, 2023