fine-tuned-IndoNLI-Basic-with-indobert-large-p2

muhammadravi251001/fine-tuned-IndoNLI-Basic-with-indobert-large-p2

fine-tuned-IndoNLI-Basic-with-indobert-large-p2 is a text classification model from muhammadravi251001. 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: Feb 28, 2023
Updated: Feb 28, 2023
SHA: 0aa5484b

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Model card

From the Hugging Face model README

fine-tuned-IndoNLI-Basic-with-indobert-large-p2

This model is a fine-tuned version of indobenchmark/indobert-large-p2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6559
Accuracy: 0.7392

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: 3e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8412	2.49	50	0.6559	0.7392

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: Feb 28, 2023
Updated: Feb 28, 2023