RoBERTa-Base-Avg-SE2025T11A-sun-v20241224104615

This model is a fine-tuned version of w11wo/sundanese-roberta-base-emotion-classifier on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.3618
• eval_model_preparation_time: 0.0032
• eval_f1_micro: 0.6933
• eval_f1_macro: 0.3543
• eval_f1_label_marah: 0.1538
• eval_f1_label_jijik: 0.2222
• eval_f1_label_takut: 0.0
• eval_f1_label_senang: 0.8763
• eval_f1_label_sedih: 0.6667
• eval_f1_label_terkejut: 0.3111
• eval_f1_label_biasa: 0.25
• eval_runtime: 1.8475
• eval_samples_per_second: 69.282
• eval_steps_per_second: 34.641
• step: 0

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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Use 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: 8

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0