trigger_cls – AI Model by nattkorat | AlphaNeural AI

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nattkorat/
trigger_cls

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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trigger_cls

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: 0.3221
Accuracy: 0.8876
Precision: 0.8878
Recall: 0.8876
F1: 0.8874

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	201	0.5449	0.8120	0.8036	0.8120	0.7961
No log	2.0	402	0.3569	0.8757	0.8766	0.8757	0.8736
0.7649	3.0	603	0.3444	0.8826	0.8831	0.8826	0.8822
0.7649	4.0	804	0.3337	0.8832	0.8836	0.8832	0.8830
0.2524	5.0	1005	0.3221	0.8876	0.8878	0.8876	0.8874

Framework versions

Transformers 4.52.4
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.21.1