Predicted category is changing on mulitple runs on the same string
Hello,I am using the pre trained model of checkpoint bert-base-model to classify the CATEGORIES on 7 labels,I have trained the model on the following data and fine-tuned itCATEGORY A- 109 samplesCATEGORY B - 109 samplesCATEGORY C - 109 samplesCATEGORY D - 109 samplesCATEGORY E - 109 samplesCATEGORY F - 109 samplesCATEGORY G - 109 samplesThe language that I have trained on is Roman Urdu.However, whenever I predict the result the CATEGORIES toggled between each otherThe problem is When I input a text in the classifier it changes the predicted category upon multiple runs.The distribution is60% - Train20% - Test20% - ValidateI am also using another NER model that removes the name entities in the sentences before category classification. Could this be causing the randomness issue? or there is some other problemAnticipating a positive response in resolving this errorRegards