malaysian-distilbert-small-large-dataset

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malaysian-distilbert-small-large-dataset

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: 0.0000
• eval_accuracy: {'accuracy': 1.0}
• eval_f1score: {'f1': 1.0}
• eval_runtime: 14.0786
• eval_samples_per_second: 52.349
• eval_steps_per_second: 6.606
• 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