bbc_news_summary_with_cleaned_data

abhraskygod/bbc_news_summary_with_cleaned_data

bbc_news_summary_with_cleaned_data is a machine learning model from abhraskygod. 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: Apr 11, 2023
Updated: Apr 11, 2023
SHA: 1efe6b62

Model card

From the Hugging Face model README

bbc_news_summary_with_cleaned_data

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

Loss: 0.3312
Rouge1: 0.1758
Rouge2: 0.1141
Rougel: 0.1579
Rougelsum: 0.1579
Gen Len: 19.0

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: 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	112	0.4632	0.1657	0.1025	0.1477	0.1475	19.0
No log	2.0	224	0.3587	0.1705	0.1053	0.1514	0.1513	19.0
No log	3.0	336	0.3367	0.1739	0.1113	0.1558	0.1557	19.0
No log	4.0	448	0.3312	0.1758	0.1141	0.1579	0.1579	19.0

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Apr 11, 2023
Updated: Apr 11, 2023