Model save

README.md

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+---
+license: mit
+base_model: hanifnoerr/Fine-tuned-Indonesian-Sentiment-Classifier
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: sentiment
+  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. -->
+
+# sentiment
+
+This model is a fine-tuned version of [hanifnoerr/Fine-tuned-Indonesian-Sentiment-Classifier](https://huggingface.co/hanifnoerr/Fine-tuned-Indonesian-Sentiment-Classifier) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6815
+- Accuracy: 0.7266
+- Precision: 0.7267
+- Recall: 0.7266
+- F1: 0.7267
+
+## 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: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.7972        | 1.0   | 1301 | 0.6830          | 0.7120   | 0.7230    | 0.7120 | 0.7073 |
+| 0.5085        | 2.0   | 2602 | 0.6815          | 0.7266   | 0.7267    | 0.7266 | 0.7267 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

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