xlmr-nli-indoindo – AI Model by jalaluddin94 | AlphaNeural AI

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jalaluddin94/
xlmr-nli-indoindo

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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xlmr-nli-indoindo

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

Loss: 0.6699
Accuracy: 0.7701
Precision: 0.7701
Recall: 0.7701
F1: 0.7693

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-06
train_batch_size: 6
eval_batch_size: 6
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.0444	1.0	1722	0.8481	0.6463	0.6463	0.6463	0.6483
0.7958	2.0	3444	0.7483	0.7369	0.7369	0.7369	0.7353
0.7175	3.0	5166	0.6812	0.7579	0.7579	0.7579	0.7576
0.66	4.0	6888	0.6293	0.7679	0.7679	0.7679	0.7674
0.6056	5.0	8610	0.6459	0.7651	0.7651	0.7651	0.7640
0.5769	6.0	10332	0.6699	0.7701	0.7701	0.7701	0.7693

Framework versions

Transformers 4.31.0.dev0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3