This model is a fine-tuned version of w11wo/malaysian-distilbert-small on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0
eval_accuracy: {'accuracy': 1.0}
eval_f1score: {'f1': 1.0}
eval_runtime: 14.4622
eval_samples_per_second: 50.96
eval_steps_per_second: 6.431
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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 515
num_epochs: 7

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

soongbren/malaysian-distilbert-small-dataset

malaysian-distilbert-small-dataset

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Framework versions

soongbren/
malaysian-distilbert-small-dataset