t5-base-finetuned-scitldr-only-abstract

HenryHXR/t5-base-finetuned-scitldr-only-abstract

t5-base-finetuned-scitldr-only-abstract is a machine learning model from HenryHXR. 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. --

Downloads · 30 days

0% of all-time downloads

All-time downloads

1.2K

Public

Repo size

2.7 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin892 MB · 100%

At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Apr 9, 2022
Updated: Apr 9, 2022
SHA: 40c687aa

Model card

From the Hugging Face model README

t5-base-finetuned-scitldr-only-abstract

This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.3365
Rouge1: 34.3531
Rouge2: 15.7554
Rougel: 29.8918
Rougelsum: 29.9514
Gen Len: 18.7658

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: 3e-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.76	1.0	996	2.3649	34.0043	15.5031	29.4997	29.5576	18.7835
2.4843	2.0	1992	2.3365	34.3531	15.7554	29.8918	29.9514	18.7658

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6

Library: transformers
Type: t5
License: apache-2.0
Created: Apr 9, 2022
Updated: Apr 9, 2022