mixed_sum_t5

eren23/mixed_sum_t5

mixed_sum_t5 is a machine learning model from eren23. 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: Oct 22, 2023
Updated: Oct 23, 2023
SHA: 51a8c2a4

Base models

Model card

From the Hugging Face model README

mixed_sum_t5

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

Loss: 2.2880
Rouge1: 0.221
Rouge2: 0.084
Rougel: 0.1806
Rougelsum: 0.1806
Gen Len: 18.8106

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: 24
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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.4147	1.0	24559	2.2880	0.221	0.084	0.1806	0.1806	18.8106

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Library: transformers
Type: t5
License: apache-2.0
Created: Oct 22, 2023
Updated: Oct 23, 2023