COPA_5_shot

Ariffiq99/COPA_5_shot

COPA_5_shot is a multiple choice model from Ariffiq99. Use it for the multiple choice 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

12% of all-time downloads

All-time downloads

Public

Parameters

109M

10.6 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors438 MB · 99%

At a glance

Task: multiple choice
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Nov 17, 2024
Updated: Nov 18, 2024
SHA: 232ff66f

Base models

google-bert/bert-base-uncased

Model card

From the Hugging Face model README

COPA_5_shot

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

Loss: 0.6992
F1: 0.514

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: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	2	0.6940	0.552
No log	2.0	4	0.6956	0.534
No log	3.0	6	0.6976	0.52
No log	4.0	8	0.6996	0.522
No log	5.0	10	0.7001	0.51
No log	6.0	12	0.6999	0.506
No log	7.0	14	0.7000	0.512
No log	8.0	16	0.6998	0.514
No log	9.0	18	0.6994	0.52
No log	10.0	20	0.6992	0.514

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

Task: multiple choice
Library: transformers
Type: bert
License: apache-2.0
Created: Nov 17, 2024
Updated: Nov 18, 2024