Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: indolem/indobertweet-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: nama_model_baru
+  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. -->
+
+# nama_model_baru
+
+This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6555
+- Accuracy: 0.8836
+- Precision: 0.8930
+- Recall: 0.8829
+- F1: 0.8867
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5761        | 1.0   | 107  | 0.3777          | 0.8425   | 0.8475    | 0.8425 | 0.8449 |
+| 0.2084        | 2.0   | 214  | 0.5319          | 0.8562   | 0.8861    | 0.8419 | 0.8518 |
+| 0.0812        | 3.0   | 321  | 0.5681          | 0.8699   | 0.8763    | 0.8802 | 0.8767 |
+| 0.034         | 4.0   | 428  | 0.6506          | 0.8733   | 0.8796    | 0.8733 | 0.8743 |
+| 0.013         | 5.0   | 535  | 0.6555          | 0.8836   | 0.8930    | 0.8829 | 0.8867 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

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