adriansanz/intent_analysis_v0

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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
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.46.2
• —Pytorch 2.5.0+cu121
• —Datasets 3.1.0
• —Tokenizers 0.20.3