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intent_classification_model

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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
    results: []

intent_classification_model

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: 0.3184
  • Accuracy: 0.9409

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: 128
  • eval_batch_size: 128
  • 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
1.1893 4.0 712 1.0851 0.6870
0.6443 8.0 1424 0.6027 0.8489
0.294 12.0 2136 0.3864 0.9179
0.2081 16.0 2848 0.3309 0.9369
0.1274 20.0 3560 0.3184 0.9409

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.1.2
  • Datasets 2.20.0
  • Tokenizers 0.19.1