t5-base-finetuned-eli5

minminzi/t5-base-finetuned-eli5

t5-base-finetuned-eli5 is a machine learning model from minminzi. 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: t5
Access: Public
Created: Sep 20, 2022
Updated: Sep 21, 2022
SHA: 2dec29a2

Datasets

eli5

Model card

From the Hugging Face model README

t5-base-finetuned-eli5

This model is a fine-tuned version of t5-base on the eli5 dataset. It achieves the following results on the evaluation set:

Loss: nan
Rouge1: 0.0
Rouge2: 0.0
Rougel: 0.0
Rougelsum: 0.0
Gen Len: 0.0

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: 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: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0	1.0	17040	nan	0.0	0.0	0.0	0.0	0.0

Framework versions

Transformers 4.22.1
Pytorch 1.12.1+cu113
Datasets 2.5.0
Tokenizers 0.12.1

Library: transformers
Type: t5
License: apache-2.0
Created: Sep 20, 2022
Updated: Sep 21, 2022