T5_small_sum

zera09/T5_small_sum

T5_small_sum is a machine learning model from zera09. 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: May 27, 2024
Updated: May 27, 2024
SHA: 7cb93745

Base models

Model card

From the Hugging Face model README

T5_small_sum

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.2513
Rouge1: 0.4054
Rouge2: 0.235
Rougel: 0.3672
Rougelsum: 0.3674
Gen Len: 17.9888

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: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	400	2.3801	0.3823	0.2151	0.3411	0.3409	18.2544
2.7768	2.0	800	2.2951	0.3984	0.2289	0.3602	0.3605	18.0169
2.5068	3.0	1200	2.2620	0.4033	0.2327	0.3652	0.3656	18.0069
2.4601	4.0	1600	2.2513	0.4054	0.235	0.3672	0.3674	17.9888

Framework versions

Transformers 4.41.1
Pytorch 1.13.1+cu117
Datasets 2.19.1
Tokenizers 0.19.1

Library: transformers
Type: t5
License: apache-2.0
Created: May 27, 2024
Updated: May 27, 2024