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Fine tuned model to classify customer support request

Model Details

Model Description

Uses

How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

Training Details

Training Data

https://huggingface.co./datasets/bitext/Bitext-customer-support-llm-chatbot-training-dataset

Training Procedure

https://colab.research.google.com/drive/1RllMjMO_41l0pf0di1guQePpl97Z6M9A#scrollTo=SVjaVFshS-ox

Preprocessing [optional]

Dividing dataset 80/20% for finetuning and evaluation

Training Hyperparameters

  • evaluation_strategy:epoch
  • learning_rate: 2e-5
  • per_device_train_batch_size: 16
  • per_device_eval_batch_size: 16
  • num_train_epochs: 3
  • weight_decay: 0.01

Metrics & Evaluation

  • eval_loss: 0.002536403015255928,
  • eval_accuracy: 0.9996279069767442
  • eval_runtime: 11.3331
  • eval_samples_per_second: 474.275
  • eval_steps_per_second: 29.648
  • epoch: 3.0

Testing Data, Factors & Metrics

Testing Data

20% of "https://huggingface.co./vineetsharma/customer-support-intent-albert" dataset

accuracy

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