# Based Model
Model = distilbert-base-uncased

Fine tuned the model from our own custom dataset

```
with training_args.strategy.scope():
    model = TFDistilBertForSequenceClassification.from_pretrained("distilbert-base-uncased")

trainer = TFTrainer(
    model=model,                         # the instantiated 🤗 Transformers model to be trained
    args=training_args,                  # training arguments, defined above
    train_dataset=train_dataset,         # training dataset
    eval_dataset=test_dataset             # evaluation dataset
)

trainer.train()
```
{"tags": ["transformers", "model", "sentiment analysis", "bahasa malaysia"]}
transformers tf distilbert text-classification model sentiment analysis bahasa malaysia autotrain_compatible endpoints_compatible region:us