KUCI_e_care_xlm_roberta_large_Finetuned

Ariffiq99/KUCI_e_care_xlm_roberta_large_Finetuned

KUCI_e_care_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. --

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At a glance

Task: multiple choice
Library: transformers
License: mit
Model type: xlm-roberta
Access: Public
Created: Jun 4, 2024
Updated: Jun 4, 2024
SHA: b6cd2741

Base models

Ariffiq99/e_care_xlm_roberta_large_finetuned

Model card

From the Hugging Face model README

KUCI_e_care_xlm_roberta_large_Finetuned

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

Loss: 0.9587
F1: 0.8504

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.4669	1.0	5196	0.4334	0.8410
0.3292	2.0	10392	0.5306	0.8425
0.2147	3.0	15588	0.6117	0.8486
0.1337	4.0	20784	0.8328	0.8478
0.057	5.0	25980	0.9587	0.8504

Framework versions

Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1

Task: multiple choice
Library: transformers
Type: xlm-roberta
License: mit
Created: Jun 4, 2024
Updated: Jun 4, 2024