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---
license: mit
base_model: indolem/indobert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Zidan_model_output_v8
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. -->
# Zidan_model_output_v8
This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5008
- Accuracy: 0.7818
## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 248 | 0.9353 | 0.4545 |
| No log | 2.0 | 496 | 0.8453 | 0.7636 |
| 0.8008 | 3.0 | 744 | 0.9547 | 0.8364 |
| 0.8008 | 4.0 | 992 | 0.9477 | 0.8 |
| 0.3923 | 5.0 | 1240 | 1.2342 | 0.8 |
| 0.3923 | 6.0 | 1488 | 1.5085 | 0.8 |
| 0.1679 | 7.0 | 1736 | 1.2791 | 0.8182 |
| 0.1679 | 8.0 | 1984 | 1.3501 | 0.8182 |
| 0.0693 | 9.0 | 2232 | 1.5200 | 0.7818 |
| 0.0693 | 10.0 | 2480 | 1.5008 | 0.7818 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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