Model save

README.md

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+---
+license: mit
+base_model: w11wo/indonesian-roberta-base-sentiment-classifier
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: indonesia-election-sentiment-classification-finetuned-roberta-1
+  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. -->
+
+# indonesia-election-sentiment-classification-finetuned-roberta-1
+
+This model is a fine-tuned version of [w11wo/indonesian-roberta-base-sentiment-classifier](https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2566
+- Accuracy: 0.5565
+- F1 Weighted: 0.5613
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Weighted |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|
+| No log        | 1.0   | 38   | 0.9822          | 0.4859   | 0.4578      |
+| No log        | 2.0   | 76   | 1.3101          | 0.5040   | 0.4872      |
+| No log        | 3.0   | 114  | 1.3172          | 0.5504   | 0.5300      |
+| No log        | 4.0   | 152  | 1.8168          | 0.5222   | 0.5283      |
+| No log        | 5.0   | 190  | 2.0302          | 0.5524   | 0.5515      |
+| No log        | 6.0   | 228  | 2.2566          | 0.5565   | 0.5613      |
+| No log        | 7.0   | 266  | 2.2423          | 0.5585   | 0.5607      |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

model.safetensors

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