t5_samsum_model_sam

SamZzzzz/t5_samsum_model_sam

t5_samsum_model_sam is a machine learning model from SamZzzzz. 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 21, 2024
Updated: Oct 22, 2024
SHA: 79407782

Base models

Datasets

samsum

Model card

From the Hugging Face model README

t5_samsum_model_sam

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

Loss: 2.1845
Rouge1: 0.3507
Rouge2: 0.1284
Rougel: 0.2992
Rougelsum: 0.2983
Gen Len: 17.25

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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.5776	1.0	41	2.3880	0.2569	0.0605	0.2123	0.2123	18.5915
2.4682	2.0	82	2.2464	0.3093	0.0885	0.2555	0.2556	17.9207
2.3727	3.0	123	2.1970	0.3494	0.126	0.2975	0.2969	17.2195
2.3833	4.0	164	2.1845	0.3507	0.1284	0.2992	0.2983	17.25

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Library: transformers
Type: t5
License: apache-2.0
Created: Oct 21, 2024
Updated: Oct 22, 2024