experiment-summarisation-2

natope/experiment-summarisation-2

experiment-summarisation-2 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: May 19, 2023
Updated: May 19, 2023
SHA: aa554512

Datasets

billsum

Model card

From the Hugging Face model README

experiment-summarisation-2

This model is a fine-tuned version of google/mt5-small on the billsum dataset. It achieves the following results on the evaluation set:

Loss: 2.6952
Rouge1: 0.1384
Rouge2: 0.0422
Rougel: 0.1089
Rougelsum: 0.109
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	248	3.1176	0.1349	0.0327	0.1088	0.109	19.0
No log	2.0	496	2.7865	0.1333	0.0377	0.1072	0.1074	19.0
7.2763	3.0	744	2.7115	0.1364	0.0406	0.1076	0.1078	19.0
7.2763	4.0	992	2.6952	0.1384	0.0422	0.1089	0.109	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: May 19, 2023
Updated: May 19, 2023