qa_references_all

natope/qa_references_all

qa_references_all is a machine learning model from natope. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

Library: transformers
License: apache-2.0
Model type: mt5
Access: Public
Created: Jun 10, 2023
Updated: Jun 10, 2023
SHA: 54015ff0

Model card

From the Hugging Face model README

qa_references_all

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 4.0348
Rouge1: 0.1188
Rouge2: 0.0107
Rougel: 0.0976
Rougelsum: 0.098
Gen Len: 19.0

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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	357	6.1510	0.0604	0.0063	0.0548	0.0546	18.8222
12.6296	2.0	714	4.1645	0.1128	0.0106	0.0986	0.0984	19.0
5.7722	3.0	1071	4.0653	0.1261	0.0125	0.1054	0.1055	19.0
5.7722	4.0	1428	4.0452	0.1219	0.0109	0.0991	0.0993	19.0
5.3698	5.0	1785	4.0348	0.1188	0.0107	0.0976	0.098	19.0

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Library: transformers
Type: mt5
License: apache-2.0
Created: Jun 10, 2023
Updated: Jun 10, 2023