IndoJavaneseNLI-XLMR-large – AI Model by jalaluddin94 | AlphaNeural AI

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jalaluddin94/
IndoJavaneseNLI-XLMR-large

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-large

autotrain_compatible

endpoints_compatible

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IndoJavaneseNLI-XLMR-large

This model is a fine-tuned version of xlm-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.7328
Accuracy: 0.7770
Precision: 0.7770
Recall: 0.7770
F1 Score: 0.7772

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: 1
eval_batch_size: 1
seed: 101
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1 Score
1.4856	1.0	10330	1.7105	0.6063	0.6063	0.6063	0.6096
1.8291	2.0	20660	1.7699	0.6800	0.6800	0.6800	0.6785
1.7113	3.0	30990	1.6908	0.7260	0.7260	0.7260	0.7254
1.6058	4.0	41320	1.6276	0.7456	0.7456	0.7456	0.7451
1.3499	5.0	51650	1.6436	0.7565	0.7565	0.7565	0.7568
1.1362	6.0	61980	1.6715	0.7615	0.7615	0.7615	0.7619
1.1918	7.0	72310	1.7237	0.7738	0.7738	0.7738	0.7743
0.9035	8.0	82640	1.7436	0.7751	0.7751	0.7751	0.7750
0.9824	9.0	92970	1.7354	0.7806	0.7806	0.7806	0.7804
0.9303	10.0	103300	1.7328	0.7770	0.7770	0.7770	0.7772

Framework versions

Transformers 4.35.0.dev0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1