extract-mt-small

arfu/extract-mt-small

extract-mt-small is a machine learning model from arfu. 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.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
Model type: t5
Access: Public
Created: Mar 6, 2023
Updated: Mar 8, 2023
SHA: 071a59cc

Datasets

generator

Model card

From the Hugging Face model README

extract-mt-small

This model is a fine-tuned version of arfu/cn-mt-small on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.3417
Rouge1: 5.4167
Rouge2: 5.0
Rougel: 5.0
Rougelsum: 5.4167
Gen Len: 5.7667

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: 0.0001
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.1434	1.0	127	0.5071	5.8333	5.8333	5.8333	5.8333	6.2083
0.5765	2.0	254	0.4069	5.4167	5.0	5.0	5.4167	5.7167
0.4662	3.0	381	0.3842	5.4167	5.0	5.0	5.4167	5.725
0.4183	4.0	508	0.3748	5.4167	5.0	5.0	5.4167	5.85
0.3703	5.0	635	0.3417	5.4167	5.0	5.0	5.4167	5.7667

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Library: transformers
Type: t5
Created: Mar 6, 2023
Updated: Mar 8, 2023