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Adzka/reward-model-distilbert

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README.md ADDED
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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: test-reward-model
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+ results: []
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+ ---
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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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+
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+ # test-reward-model
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+
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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: 0.6974
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+ - Accuracy: 0.7368
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 8
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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: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.5895 | 1.25 | 50 | 0.6307 | 0.6842 |
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+ | 0.3559 | 2.5 | 100 | 0.6381 | 0.7105 |
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+ | 0.1523 | 3.75 | 150 | 0.6340 | 0.7105 |
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+ | 0.0694 | 5.0 | 200 | 0.6974 | 0.7368 |
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+
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+
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+ ### Framework versions
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+
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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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+ "model_type": "roberta",
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