rate-jokes-bert

mohameddhiab/rate-jokes-bert

rate-jokes-bert is a text classification model from mohameddhiab. Use it when you need a label for a piece of text. 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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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Jun 24, 2023
Updated: Jun 24, 2023
SHA: 89dc1a2f

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Model card

From the Hugging Face model README

rate-jokes-bert

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

Loss: 2.0871
F1: 0.0444

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-06
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
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	64	2.4209	0.0028
No log	2.0	128	2.3785	0.0130
No log	3.0	192	2.3215	0.0729
No log	4.0	256	2.1787	0.0444
No log	5.0	320	2.1038	0.0444
No log	6.0	384	2.0944	0.0444
No log	7.0	448	2.0911	0.0444
2.2915	8.0	512	2.0901	0.0444
2.2915	9.0	576	2.0892	0.0444
2.2915	10.0	640	2.0871	0.0444

Framework versions

Transformers 4.31.0.dev0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Jun 24, 2023
Updated: Jun 24, 2023