my_bbc

hli623/my_bbc

my_bbc is a machine learning model from hli623. 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: aad24818

Model card

From the Hugging Face model README

my_bbc

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

Loss: 4.1204
Rouge1: 0.0775
Rouge2: 0.0029
Rougel: 0.0618
Rougelsum: 0.0614
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	21	4.2715	0.0749	0.0068	0.0596	0.0592	19.0
No log	2.0	42	4.1744	0.0756	0.0047	0.0597	0.0597	19.0
No log	3.0	63	4.1324	0.0756	0.0029	0.0604	0.0601	19.0
No log	4.0	84	4.1204	0.0775	0.0029	0.0618	0.0614	19.0

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Tokenizers 0.13.3

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