trigger_id – AI Model by nattkorat | AlphaNeural AI

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nattkorat/
trigger_id

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token-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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trigger_id

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

Loss: 0.0634
Accuracy: 0.9780
Precision: 0.7114
Recall: 0.6376
F1: 0.6725

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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	38	0.1618	0.9513	0.0	0.0	0.0
No log	2.0	76	0.0873	0.9742	0.7385	0.5685	0.6424
No log	3.0	114	0.0693	0.9773	0.7357	0.5968	0.6590
No log	4.0	152	0.0665	0.9771	0.6768	0.6777	0.6773
No log	5.0	190	0.0634	0.9780	0.7114	0.6376	0.6725

Framework versions

Transformers 4.52.4
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.21.1