luke-base-finetuned-enem

mfcbrakes/luke-base-finetuned-enem

luke-base-finetuned-enem is a multiple choice model from mfcbrakes. 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. --

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At a glance

Task: multiple choice
Library: transformers
License: apache-2.0
Model type: luke
Access: Public
Created: Nov 30, 2023
Updated: Nov 30, 2023
SHA: 084563c0

Base models

studio-ousia/luke-base

Model card

From the Hugging Face model README

luke-base-finetuned-enem

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

Loss: 1.6094
Accuracy: 0.2058

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
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	467	1.6094	0.2133
1.6184	2.0	934	1.6094	0.1854
1.6148	3.0	1401	1.6094	0.2058

Framework versions

Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1

Task: multiple choice
Library: transformers
Type: luke
License: apache-2.0
Created: Nov 30, 2023
Updated: Nov 30, 2023