my_qa_model

aravind-selvam/my_qa_model

my_qa_model is a question answering model from aravind-selvam. 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: May 6, 2023
Updated: May 6, 2023
SHA: 41c7dba9

Try a prompt

Model card

From the Hugging Face model README

my_qa_model

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: 2.9694

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: 1e-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: 7

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	41	4.3547
No log	2.0	82	3.4090
No log	3.0	123	3.1299
No log	4.0	164	3.0288
No log	5.0	205	2.9910
No log	6.0	246	2.9762
No log	7.0	287	2.9694

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Question Answering
Library: transformers
Type: distilbert
License: apache-2.0
Created: May 6, 2023
Updated: May 6, 2023