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# electra-base-discriminator-bahasa-cased

This model is a fine-tuned version of [mesolitica/electra-base-discriminator-bahasa-cased](https://huggingface.co/mesolitica/electra-base-discriminator-bahasa-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6106
- eval_accuracy: {'accuracy': 0.696078431372549}
- eval_f1score: {'f1': 0.6848912520917027}
- eval_runtime: 30.6032
- eval_samples_per_second: 29.997
- eval_steps_per_second: 3.758
- 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: 642
- num_epochs: 7

### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

{"tags": ["generated_from_trainer"], "base_model": "mesolitica/electra-base-discriminator-bahasa-cased", "model-index": [{"name": "electra-base-discriminator-bahasa-cased", "results": []}]}
transformers tensorboard safetensors electra text-classification generated_from_trainer base_model:mesolitica/electra-base-discriminator-bahasa-cased autotrain_compatible endpoints_compatible region:us