intent_analysis_v0 – AI Model by adriansanz | AlphaNeural AI

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adriansanz/
intent_analysis_v0

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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intent_analysis

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: 0.0133
Accuracy: 0.9986
Precision: 0.9982
Recall: 0.9983
F1: 0.9982

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use 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
0.1768	1.0	729	0.0408	0.9914	0.9939	0.9896	0.9917
0.0575	2.0	1458	0.0392	0.99	0.9885	0.9879	0.9880
0.0258	3.0	2187	0.0133	0.9986	0.9982	0.9983	0.9982
0.01	4.0	2916	0.0151	0.9986	0.9982	0.9983	0.9982
0.0044	5.0	3645	0.0133	0.9986	0.9982	0.9983	0.9982

Framework versions

Transformers 4.46.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3