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---
license: apache-2.0
base_model: patrickxchong/bert-tiny-bahasa-cased-sentiment
tags:
- generated_from_trainer
model-index:
- name: fine-tuned-tiny-bert-base-uncased-large-dataset
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fine-tuned-tiny-bert-base-uncased-large-dataset
This model is a fine-tuned version of [patrickxchong/bert-tiny-bahasa-cased-sentiment](https://huggingface.co/patrickxchong/bert-tiny-bahasa-cased-sentiment) 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: 7.9696
- eval_samples_per_second: 115.188
- eval_steps_per_second: 14.43
- 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
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