SummarEaseElementaryV2

notBanana/SummarEaseElementaryV2

SummarEaseElementaryV2 is a machine learning model from notBanana. 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: bart
Access: Public
Created: Jul 17, 2024
Updated: Jul 17, 2024
SHA: cb4542b2

Model card

From the Hugging Face model README

SummarEaseElementaryV2

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.3269
Rouge1: 0.1335
Rouge2: 0.0509
Rougel: 0.1066
Rougelsum: 0.1075
Gen Len: 20.0

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
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	1	2.3970	0.0914	0.0227	0.0746	0.0745	20.0
No log	2.0	2	2.3609	0.1195	0.0397	0.0957	0.0962	20.0
No log	3.0	3	2.3386	0.1323	0.0496	0.1066	0.1075	20.0
No log	4.0	4	2.3269	0.1335	0.0509	0.1066	0.1075	20.0

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Library: transformers
Type: bart
Created: Jul 17, 2024
Updated: Jul 17, 2024