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---
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license: mit
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base_model: w11wo/indonesian-roberta-base-sentiment-classifier
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: train-reward-training
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# train-reward-training
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This model is a fine-tuned version of [w11wo/indonesian-roberta-base-sentiment-classifier](https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3383
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- Accuracy: 0.8673
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 8
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.711 | 0.54 | 50 | 0.6858 | 0.8061 |
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| 0.6942 | 1.08 | 100 | 0.6390 | 0.8469 |
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| 0.586 | 1.61 | 150 | 0.4498 | 0.8673 |
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| 0.4693 | 2.15 | 200 | 0.3464 | 0.8571 |
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| 0.3404 | 2.69 | 250 | 0.3004 | 0.8673 |
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| 0.3255 | 3.23 | 300 | 0.3514 | 0.8776 |
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| 0.2332 | 3.76 | 350 | 0.3435 | 0.8776 |
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| 0.1865 | 4.3 | 400 | 0.3013 | 0.8673 |
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| 0.1552 | 4.84 | 450 | 0.2979 | 0.8878 |
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| 0.1214 | 5.38 | 500 | 0.3166 | 0.8878 |
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| 0.1284 | 5.91 | 550 | 0.3407 | 0.8673 |
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| 0.0971 | 6.45 | 600 | 0.3490 | 0.8776 |
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| 0.0953 | 6.99 | 650 | 0.3269 | 0.8673 |
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| 0.0728 | 7.53 | 700 | 0.3388 | 0.8673 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.14.5
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- Tokenizers 0.15.2
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