food-intent-pegasus-base

odunola/food-intent-pegasus-base

food-intent-pegasus-base 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.

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
Model type: pegasus
Access: Public
Created: Nov 17, 2023
Updated: Nov 17, 2023
SHA: 6b515d10

Base models

google/pegasus-xsum

Model card

From the Hugging Face model README

food-intent-pegasus-base

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

Loss: 0.3188

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: 4
eval_batch_size: 4
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: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.2463	0.14	20	0.3228
0.2748	0.28	40	0.3226
0.2167	0.42	60	0.3221
0.3046	0.56	80	0.3212
0.3236	0.69	100	0.3205
0.2835	0.83	120	0.3192
0.3414	0.97	140	0.3188

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

Library: transformers
Type: pegasus
Created: Nov 17, 2023
Updated: Nov 17, 2023