KUCI_COPA_xlm_roberta_large_finetuned

Ariffiq99/KUCI_COPA_xlm_roberta_large_finetuned

KUCI_COPA_xlm_roberta_large_finetuned 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 mit.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

3% of all-time downloads

All-time downloads

Public

Parameters

560M

9 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors2.2 GB · 99%

At a glance

Task: multiple choice
Library: transformers
License: mit
Model type: xlm-roberta
Access: Public
Created: Jun 25, 2024
Updated: Jun 25, 2024
SHA: 6848beab

Base models

Ariffiq99/COPA_xlm_roberta_large_finetuned

Model card

From the Hugging Face model README

KUCI_COPA_xlm_roberta_large_finetuned

This model is a fine-tuned version of Ariffiq99/COPA_xlm_roberta_large_finetuned on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8340
F1: 0.8481

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.4689	1.0	5196	0.4359	0.8377
0.3217	2.0	10392	0.4639	0.8439
0.2073	3.0	15588	0.5932	0.8475
0.1082	4.0	20784	0.8340	0.8481

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: multiple choice
Library: transformers
Type: xlm-roberta
License: mit
Created: Jun 25, 2024
Updated: Jun 25, 2024