finetuning-sentiment-model-indonlu-samples-v3
This model is a fine-tuned version of lxyuan/distilbert-base-multilingual-cased-sentiments-student on the indonlu dataset. It achieves the following results on the evaluation set:
- Loss: 0.5928
- Accuracy: 0.862
- F1: 0.8104
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Framework versions
- Transformers 4.51.1
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Downloads last month
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Dataset used to train rikidharmawan/finetuning-sentiment-model-indonlu-samples-v3
Evaluation results
- Accuracy on indonlutest set self-reported0.862
- F1 on indonlutest set self-reported0.810