---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: UK_Energy_Industry_Complaints_Identifier_ver1
  results: []
---

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# UK_Energy_Industry_Complaints_Identifier_ver1

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on a balanced dataset consisting of 17,620 
publicy available customer reviews of various domestic energy suppliers in the United Kingdom.
It achieves the following results on the evaluation set:
- Loss: 0.3369
- Accuracy: 0.9561
- F1: [0.95594347 0.95621041]

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results



### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.1
- Datasets 2.13.1
- Tokenizers 0.11.0