food-intent

odunola/food-intent

food-intent is a machine learning model from odunola. 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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Hugging Face

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Nov 16, 2023
Updated: Nov 17, 2023
SHA: 8a1a2c74

Base models

google/flan-t5-small

Model card

From the Hugging Face model README

food-intent

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

Loss: 0.3056

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: 5e-05
train_batch_size: 12
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.5231	0.42	20	0.4133
0.4702	0.83	40	0.4094
0.4898	1.25	60	0.4028
0.4596	1.67	80	0.3933
0.4597	2.08	100	0.3822
0.3879	2.5	120	0.3714
0.3861	2.92	140	0.3606
0.3689	3.33	160	0.3495
0.3574	3.75	180	0.3377
0.3272	4.17	200	0.3257
0.2981	4.58	220	0.3157
0.3075	5.0	240	0.3056

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

Library: transformers
Type: t5
License: apache-2.0
Created: Nov 16, 2023
Updated: Nov 17, 2023