t5_long_tglobal_base_samsum

QuinineAlpha/t5_long_tglobal_base_samsum

t5_long_tglobal_base_samsum is a machine learning model from QuinineAlpha. 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: longt5
Access: Public
Created: Apr 28, 2024
Updated: Apr 29, 2024
SHA: 9c04053e

Base models

google/long-t5-tglobal-base

Model card

From the Hugging Face model README

t5_long_tglobal_base_samsum

This model is a fine-tuned version of google/long-t5-tglobal-base on the None dataset. It achieves the following results on the evaluation set:

Loss: nan
Rouge1: 22.7827
Rouge2: 4.9292
Rougel: 19.0267
Rougelsum: 19.9561
Bleu: 0.0
Meteor: 0.1307
Gen Len: 17.4725

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
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Bleu	Meteor	Gen Len
0.1925	0.9997	1841	nan	22.7827	4.9292	19.0267	19.9561	0.0	0.1307	17.4725

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Library: transformers
Type: longt5
License: apache-2.0
Created: Apr 28, 2024
Updated: Apr 29, 2024