metadata

library_name: transformers
license: mit
base_model: w11wo/sundanese-roberta-base-emotion-classifier
tags:
  - generated_from_trainer
model-index:
  - name: RoBERTa-Base-Avg-SE2025T11A-sun-v20241224104615
    results: []

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