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

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jalaluddin94/
xlmr-large-nli-indoindo

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-large

autotrain_compatible

endpoints_compatible

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xlmr-large-nli-indoindo

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: 1.3131
Accuracy: 0.8584
Precision: 0.8584
Recall: 0.8584
F1 Score: 0.8585

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: 1
eval_batch_size: 1
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 Score
1.449	1.0	10330	1.2228	0.7838	0.7838	0.7838	0.7810
1.2575	2.0	20660	1.1182	0.8257	0.8257	0.8257	0.8273
0.8123	3.0	30990	1.1538	0.8489	0.8489	0.8489	0.8488
0.6541	4.0	41320	1.1288	0.8562	0.8562	0.8562	0.8558
0.3653	5.0	51650	1.2424	0.8543	0.8543	0.8543	0.8544
0.3436	6.0	61980	1.3131	0.8584	0.8584	0.8584	0.8585

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3