t5_number_v5

RishuD7/t5_number_v5

t5_number_v5 is a machine learning model from RishuD7. 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. --

Downloads · 30 days

21% of all-time downloads

All-time downloads

Public

Repo size

9.9 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin990 MB · 100%

At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Aug 21, 2023
Updated: Aug 22, 2023
SHA: 665cd888

Model card

From the Hugging Face model README

t5_number_v5

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

Loss: 0.0055
Cer: 0.4721

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: 4e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
No log	1.0	197	0.0132	0.7284
4.8427	2.0	394	0.0077	0.5711
0.0136	3.0	591	0.0068	0.5228
0.0085	4.0	788	0.0064	0.5102
0.0074	5.0	985	0.0062	0.4975
0.0067	6.0	1182	0.0059	0.4898
0.0062	7.0	1379	0.0057	0.4848
0.0057	8.0	1576	0.0057	0.4772
0.0054	9.0	1773	0.0056	0.4721
0.0055	10.0	1970	0.0055	0.4721

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.11.0
Tokenizers 0.13.3

Library: transformers
Type: t5
License: apache-2.0
Created: Aug 21, 2023
Updated: Aug 22, 2023