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Malay-Sentiment-2

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metadata
library_name: transformers
base_model: citizenlab/twitter-xlm-roberta-base-sentiment-finetunned
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: Malay-Sentiment-2
    results: []

Malay-Sentiment-2

This model is a fine-tuned version of citizenlab/twitter-xlm-roberta-base-sentiment-finetunned on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6484
  • Accuracy: 0.7692

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

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.7181 1.0 723 0.5862 0.7595
0.5496 2.0 1446 0.5908 0.7651
0.3407 3.0 2169 0.6484 0.7692

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.2.2+cu118
  • Datasets 3.0.1
  • Tokenizers 0.20.0