fine-tuned-IndoNLI-Basic-with-xlm-roberta-large-LR-1e-06

afaji/fine-tuned-IndoNLI-Basic-with-xlm-roberta-large-LR-1e-06

fine-tuned-IndoNLI-Basic-with-xlm-roberta-large-LR-1e-06 is a text classification model from afaji. 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: bert
Access: Public
Created: Mar 5, 2023
Updated: Mar 5, 2023
SHA: c40c5a2e

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Model card

From the Hugging Face model README

fine-tuned-IndoNLI-Basic-with-xlm-roberta-large-LR-1e-06

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

Loss: 1.1401
Accuracy: 0.2918

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-06
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 16

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.1179	0.5	80	1.1154	0.2918
1.1078	0.99	160	1.1112	0.2927
1.1201	1.49	240	1.0922	0.3714
1.1068	1.98	320	1.0963	0.3673
1.107	2.48	400	1.1058	0.3673
1.1061	2.98	480	1.1401	0.2918

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu117
Datasets 2.2.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
License: mit
Created: Mar 5, 2023
Updated: Mar 5, 2023