kobart-hashtag

jjae/kobart-hashtag

kobart-hashtag is a machine learning model from jjae. 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 mit.

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: mit
Model type: bart
Access: Public
Created: Apr 3, 2024
Updated: Apr 3, 2024
SHA: cd4dc674

Base models

gogamza/kobart-base-v2

Model card

From the Hugging Face model README

modelling

This model is a fine-tuned version of gogamza/kobart-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7086

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: 5.6e-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
lr_scheduler_warmup_steps: 300
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss
0.2628	1.23	500	0.6570
0.1678	2.47	1000	0.7086
0.1958	3.7	1500	0.7066
0.1283	4.94	2000	0.7354
0.0883	6.17	2500	0.7892
0.066	7.41	3000	0.8266

Framework versions

Transformers 4.39.3
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.0

Library: transformers
Type: bart
License: mit
Created: Apr 3, 2024
Updated: Apr 3, 2024