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intent_classification_model_fix

Text Classification
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xlm-roberta
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intent_classification_model_fix / README.md
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metadata
license: cc-by-4.0
base_model: qanastek/XLMRoberta-Alexa-Intents-Classification
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: intent_classification_model_fix
    results: []

intent_classification_model_fix

This model is a fine-tuned version of qanastek/XLMRoberta-Alexa-Intents-Classification on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1868
  • Accuracy: 0.9773

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: 512
  • eval_batch_size: 512
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 4.0 208 1.1635 0.7728
No log 8.0 416 0.4652 0.9158
1.1894 12.0 624 0.2790 0.9546
1.1894 16.0 832 0.2050 0.9735
0.4709 20.0 1040 0.1868 0.9773

Framework versions

  • Transformers 4.41.2
  • Pytorch 1.13.1+cu117
  • Datasets 2.20.0
  • Tokenizers 0.19.1