zoo-intent-results – AI Model by metz-stdtwist | AlphaNeural AI

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metz-stdtwist/
zoo-intent-results

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

text-embeddings-inference

endpoints_compatible

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zoo-intent-results

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

F1-score: 0.9945
Loss: 0.0260
Accuracy: 0.9966
F1 Macro: 0.9945
F1 Weighted: 0.9966
F1 Info: 0.9976
F1 Routing: 0.9981
F1 Smalltalk: 0.9861
F1 Fallback: 0.9963

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	F1-score	Validation Loss	Accuracy	F1 Macro	F1 Weighted	F1 Info	F1 Routing	F1 Smalltalk	F1 Fallback
0.0827	1.0	8000	0.9879	0.0400	0.9927	0.9879	0.9928	0.9945	0.9959	0.9684	0.9928
0.0211	2.0	16000	0.9914	0.0330	0.9944	0.9914	0.9944	0.9959	0.9961	0.9793	0.9942
0.0142	3.0	24000	0.9945	0.0260	0.9966	0.9945	0.9966	0.9976	0.9981	0.9861	0.9963

Framework versions

Transformers 4.57.0
Pytorch 2.8.0+cu126
Datasets 4.1.1
Tokenizers 0.22.1