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vineetsharma/customer-support-intent-albert

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
21likes19downloads
Model Card

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customer-support-intent-albert

This model is a fine-tuned version of albert-base-v2 for intent classification on the bitext/Bitext-customer-support-llm-chatbot-training-dataset dataset.

It achieves the following results on the evaluation set:

  • Loss: 0.0154
  • Accuracy: 0.9988

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
  • trainbatchsize: 16
  • evalbatchsize: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 3

Training results

Training LossEpochStepValidation LossAccuracy
1.19931.04090.09690.9927
0.03042.08180.02470.9951
0.00873.012270.01690.9963

Framework versions

  • Transformers 4.33.1
  • Pytorch 2.0.1
  • Datasets 2.14.5
  • Tokenizers 0.13.3